From bc27794dd9657ac951ee12120dd805157fe79a55 Mon Sep 17 00:00:00 2001 From: Marco Tulio Valente Date: Tue, 22 Oct 2024 19:13:46 -0300 Subject: [PATCH] Update dbis data ir --- data/data-out-confs.csv | 2 +- data/data-out-journals.csv | 8 +++--- data/data-out-papers.csv | 26 ++++++++++++------- data/data-out-profs-list.csv | 6 +++++ data/data-out-scores.csv | 13 +++++----- data/dbis-out-confs.csv | 4 +-- data/dbis-out-journals.csv | 4 +-- data/dbis-out-papers.csv | 6 +++++ data/dbis-out-scores.csv | 10 +++---- data/graphics-out-journals.csv | 2 +- data/graphics-out-papers.csv | 1 - data/graphics-out-scores.csv | 2 +- data/hardware-out-papers.csv | 4 +-- data/ir-out-journals.csv | 2 +- data/ir-out-papers.csv | 2 ++ data/ir-out-profs-list.csv | 1 + data/ir-out-scores.csv | 4 +-- data/profs/search/Alexandre-Plastino.csv | 1 + data/profs/search/Aline-Paes.csv | 1 + .../search/Amauri-Holanda-de-Souza-Junior.csv | 4 +-- data/profs/search/Anderson-Maciel.csv | 1 - .../search/Andre-Ponce-de-Leon-Carvalho.csv | 2 +- data/profs/search/Anisio-Lacerda.csv | 2 +- data/profs/search/Cesar-Lincoln-Mattos.csv | 1 + data/profs/search/Cristina-Meinhardt.csv | 2 +- data/profs/search/Diego-Mesquita.csv | 4 +-- data/profs/search/Diego-Silva.csv | 3 ++- data/profs/search/Fabio-Cozman.csv | 1 + data/profs/search/Fabio-Porto.csv | 1 + data/profs/search/George-Cavalcanti.csv | 2 +- data/profs/search/Giancarlo-Guizzardi.csv | 2 ++ data/profs/search/Gisele-Pappa.csv | 2 +- data/profs/search/Jacques-Wainer.csv | 1 + .../profs/search/Joao-Paulo-Pordeus-Gomes.csv | 2 +- data/profs/search/Karina-Valdivia-Delgado.csv | 1 + data/profs/search/Luigi-Carro.csv | 2 +- data/profs/search/Luis-Gustavo-Nonato.csv | 1 + data/profs/search/Marcos-Bueno.csv | 1 + .../profs/search/Marcos-Medeiros-Raimundo.csv | 1 + data/profs/search/Marilton-Aguiar.csv | 2 +- data/profs/search/Mateus-Grellert.csv | 2 +- data/profs/search/Mirella-Moro.csv | 1 + data/profs/search/Paulo-Butzen.csv | 2 +- data/profs/search/Renato-Assuncao.csv | 2 +- .../search/Roberto-Imbuzeiro-Oliveira.csv | 1 + data/profs/search/Robson-Cordeiro.csv | 1 + data/profs/search/Rodrigo-Mello.csv | 2 +- .../profs/search/Ronaldo-dos-Santos-Mello.csv | 1 + data/profs/search/Sergio-Bampi.csv | 2 +- data/profs/search/Sylvio-Barbon-Junior.csv | 1 + data/profs/search/Vania-Bogorny.csv | 1 + data/profs/search/Wagner-Meira.csv | 2 +- data/profs/search/Zhao-Liang.csv | 1 + 53 files changed, 99 insertions(+), 57 deletions(-) diff --git a/data/data-out-confs.csv b/data/data-out-confs.csv index 3baf6225..6a0eae67 100644 --- a/data/data-out-confs.csv +++ b/data/data-out-confs.csv @@ -1,4 +1,4 @@ -NIPS/NeurIPS,17 +NIPS/NeurIPS,18 ICML,12 BigData,11 ECML/PKDD,5 diff --git a/data/data-out-journals.csv b/data/data-out-journals.csv index 8a0e4ac5..01463226 100644 --- a/data/data-out-journals.csv +++ b/data/data-out-journals.csv @@ -1,8 +1,8 @@ Inf. Sciences,67 -Data Min. Knowl. Discov.,14 +Data Min. Knowl. Discov.,16 Inf. Fusion,10 +ACM TKDD,8 +IEEE TKDE,8 Machine Learning,8 -ACM TKDD,7 -IEEE TKDE,7 -JMLR,3 +JMLR,6 Int. J. Mach. Learn. Cybernetics,0 diff --git a/data/data-out-papers.csv b/data/data-out-papers.csv index fb242e5f..fe6ff222 100644 --- a/data/data-out-papers.csv +++ b/data/data-out-papers.csv @@ -1,8 +1,14 @@ +2024,ACM TKDD,"Imbalance-Robust Multi-Label Self-Adjusting kNN.",IME/USP,Victor Gomes De Oliveira Martins Nicola; Karina Valdivia Delgado; Marcelo de Souza Lauretto,https://doi.org/10.1145/3663575,top,J,no_arxiv,0 2024,Data Min. Knowl. Discov.,"Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.",ICMC/USP; UFSCar; UEL,Rafael Gomes Mantovani; Tomás Horváth; André L. D. Rossi; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André C. P. L. F. de Carvalho,https://doi.org/10.1007/s10618-024-01002-5,null,J,http://arxiv.org/abs/1812.02207v3,0 +2024,Data Min. Knowl. Discov.,"Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm.",ICMC/USP; UNICAMP,Marcos M. Raimundo; Luis Gustavo Nonato; Jorge Poco,https://doi.org/10.1007/s10618-022-00906-4,null,J,no_arxiv,0 2024,Data Min. Knowl. Discov.,"Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation.",UNIFESP,João Luiz Junho Pereira; Kate Smith-Miles; Mario Andrés Muñoz; Ana Carolina Lorena,https://doi.org/10.1007/s10618-023-00957-1,null,J,no_arxiv,0 +2024,Data Min. Knowl. Discov.,"Unsupervised feature based algorithms for time series extrinsic regression.",ICMC/USP,David Guijo-Rubio; Matthew Middlehurst; Guilherme Arcencio; Diego Furtado Silva; Anthony J. Bagnall,https://doi.org/10.1007/s10618-024-01027-w,null,J,http://arxiv.org/abs/2305.01429v1,0 +2024,IEEE TKDE,"TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition.",FFCLRP/USP,Jiang Liu 0001; Hao Fei 0001; Fei Li 0021; Jingye Li; Bobo Li; Liang Zhao 0001; Chong Teng; Donghong Ji,https://doi.org/10.1109/TKDE.2024.3389650,top,J,no_arxiv,0 2024,Inf. Sciences,"Keywords attention for fake news detection using few positive labels.",UFMS; ICMC/USP,Mariana Caravanti de Souza; Marcos Paulo Silva Gôlo; Alípio Mário Jorge; Evelin Carvalho Freire de Amorim; Ricardo Nuno Taborda Campos; Ricardo Marcondes Marcacini; Solange Oliveira Rezende,https://doi.org/10.1016/j.ins.2024.120300,null,J,no_arxiv,0 2024,Inf. Sciences,"Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector.",UFPE,Dailys Maite Aliaga Reyes; Leandro Carlos de Souza; Renata M. C. R. de Souza; Adriano L. I. de Oliveira,https://doi.org/10.1016/j.ins.2023.119758,null,J,no_arxiv,0 2024,Inf. Sciences,"Trajectory modeling via random utility inverse reinforcement learning.",UFC,Anselmo Ramalho Pitombeira Neto; Helano P. Santos; Ticiana L. Coelho da Silva; José Antônio Fernandes de Macêdo,https://doi.org/10.1016/j.ins.2024.120128,null,J,http://arxiv.org/abs/2105.12092v2,0 +2024,JMLR,"AMLB: an AutoML Benchmark.",UFU,Pieter Gijsbers; Marcos L. P. Bueno; Stefan Coors; Erin LeDell; Sébastien Poirier; Janek Thomas; Bernd Bischl; Joaquin Vanschoren,https://jmlr.org/papers/v25/22-0493.html,top,J,http://arxiv.org/abs/2207.12560v2,0 +2024,JMLR,"Split Conformal Prediction and Non-Exchangeable Data.",IMPA,Roberto I. Oliveira 0001; Paulo Orenstein; Thiago Ramos; João Vitor Romano,https://jmlr.org/papers/v25/23-1553.html,top,J,no_arxiv,0 2024,Machine Learning,"Word embeddings-based transfer learning for boosted relational dependency networks.",UFF; COPPE/UFRJ,Thais Luca; Aline Paes; Gerson Zaverucha,https://doi.org/10.1007/s10994-023-06404-y,null,J,no_arxiv,0 2023,Data Min. Knowl. Discov.,"Enforcing fairness using ensemble of diverse Pareto-optimal models.",UNICAMP,Vitória Guardieiro; Marcos M. Raimundo; Jorge Poco,https://doi.org/10.1007/s10618-023-00922-y,null,J,no_arxiv,0 2023,Data Min. Knowl. Discov.,"Sentiment analysis in tweets: an assessment study from classical to modern word representation models.",UFF,Sérgio Barreto; Ricardo Moura; Jonnathan Carvalho; Aline Paes; Alexandre Plastino 0001,https://doi.org/10.1007/s10618-022-00853-0,null,J,no_arxiv,0 @@ -18,22 +24,24 @@ 2023,Inf. Sciences,"Neural architecture search with interpretable meta-features and fast predictors.",ICMC/USP,Gean Trindade Pereira; Iury Batista de Andrade Santos; Luís Paulo F. Garcia; Thierry Urruty; Muriel Visani; André C. P. L. F. de Carvalho,https://doi.org/10.1016/j.ins.2023.119642,null,J,no_arxiv,0 2023,Inf. Sciences,"On applying the lackadaisical quantum walk algorithm to search for multiple solutions on grids.",UFPE; UFRPE,Jonathan H. A. de Carvalho; Luciano S. de Souza; Fernando M. de Paula Neto; Tiago A. E. Ferreira,https://doi.org/10.1016/j.ins.2022.11.142,null,J,http://arxiv.org/abs/2106.06274v2,0 2023,Inf. Sciences,"Text characterization based on recurrence networks.",ICMC/USP,Bárbara C. e Souza; Filipi Nascimento Silva; Henrique Ferraz de Arruda; Giovana D. da Silva; Luciano da F. Costa; Diego R. Amancio,https://doi.org/10.1016/j.ins.2023.119124,null,J,http://arxiv.org/abs/2201.06665v2,0 +2023,JMLR,"A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets.",UNICAMP,Jacques Wainer,http://jmlr.org/papers/v24/22-0907.html,top,J,no_arxiv,0 2023,Machine Learning,"Fully convolutional open set segmentation.",UFMG,Hugo N. Oliveira 0001; Caio C. V. da Silva; Gabriel L. S. Machado; Keiller Nogueira; Jefersson A. dos Santos,https://doi.org/10.1007/s10994-021-06027-1,null,J,http://arxiv.org/abs/2006.14673v1,0 2023,NIPS/NeurIPS,"A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.",UFRGS,Florian Felten; Lucas N. Alegre; Ann Nowé; Ana L. C. Bazzan; El-Ghazali Talbi; Grégoire Danoy; Bruno C. da Silva 0001,http://papers.nips.cc/paper_files/paper/2023/hash/4aa8891583f07ae200ba07843954caeb-Abstract-Datasets_and_Benchmarks.html,top,C,no_arxiv,0 2023,NIPS/NeurIPS,"Behavior Alignment via Reward Function Optimization.",UFRGS,Dhawal Gupta; Yash Chandak; Scott M. Jordan; Philip S. Thomas; Bruno C. da Silva 0001,http://papers.nips.cc/paper_files/paper/2023/hash/a5357781c204d4412e44ed9cbcdb08d5-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.19007v2,0 +2023,NIPS/NeurIPS,"Credal Marginal MAP.",POLI/USP,Radu Marinescu 0002; Debarun Bhattacharjya; Junkyu Lee 0001; Fábio Gagliardi Cozman; Alexander G. Gray,http://papers.nips.cc/paper_files/paper/2023/hash/953390c834451505703c9da45de634d8-Abstract-Conference.html,top,C,no_arxiv,0 2023,NIPS/NeurIPS,"Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model.",COPPE/UFRJ,Maximilien Dreveton; Felipe S. Fernandes; Daniel R. Figueiredo 0001,http://papers.nips.cc/paper_files/paper/2023/hash/770b3ecb70147a2d2f18d2964fafcdd5-Abstract-Conference.html,top,C,no_arxiv,0 -2023,NIPS/NeurIPS,"Going beyond persistent homology using persistent homology.",IFCE,Johanna Immonen; Amauri H. Souza; Vikas Garg,http://papers.nips.cc/paper_files/paper/2023/hash/c78f81a878a72566422f37279bca0fd0-Abstract-Conference.html,top,C,http://arxiv.org/abs/2311.06152v1,0 +2023,NIPS/NeurIPS,"Going beyond persistent homology using persistent homology.",IFCE,Johanna Immonen; Amauri H. Souza; Vikas Garg 0001,http://papers.nips.cc/paper_files/paper/2023/hash/c78f81a878a72566422f37279bca0fd0-Abstract-Conference.html,top,C,http://arxiv.org/abs/2311.06152v1,0 2023,NIPS/NeurIPS,"Learning Robust Statistics for Simulation-based Inference under Model Misspecification.",IFCE,Daolang Huang; Ayush Bharti; Amauri H. Souza; Luigi Acerbi; Samuel Kaski,http://papers.nips.cc/paper_files/paper/2023/hash/16c5b4102a6b6eb061e502ce6736ad8a-Abstract-Conference.html,top,C,no_arxiv,0 2023,NIPS/NeurIPS,"Multi-Step Generalized Policy Improvement by Leveraging Approximate Models.",UFRGS,Lucas Nunes Alegre; Ana L. C. Bazzan; Ann Nowé; Bruno C. da Silva 0001,http://papers.nips.cc/paper_files/paper/2023/hash/77c7faab15002432ba1151e8d5cc389a-Abstract-Conference.html,top,C,no_arxiv,0 2023,NIPS/NeurIPS,"Optimization of Inter-group criteria for clustering with minimum size constraints.",PUC-Rio,Eduardo Sany Laber; Lucas Murtinho,http://papers.nips.cc/paper_files/paper/2023/hash/20f814ecdaa8c76131e21683447e347b-Abstract-Conference.html,top,C,no_arxiv,0 2023,NIPS/NeurIPS,"Representation Learning via Consistent Assignment of Views over Random Partitions.",UNICAMP,Thalles Santos Silva; Adín Ramírez Rivera,http://papers.nips.cc/paper_files/paper/2023/hash/7caf9d251b546bc78078b35b4a6f3b7e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.12692v2,0 -2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",FGV; UFC,Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César C. Lincoln Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 +2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",UFC; FGV,Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 2023,SDM,"Fisher Scoring Method for Neural Networks Optimization.",UFMG,Jackson de Faria; Renato Assunção; Fabricio Murai,https://doi.org/10.1137/1.9781611977653.ch84,null,C,no_arxiv,0 2023,SDM,"MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification.",ICMC/USP,Zahra Donyavi; Adriane Serapio; Gustavo Batista,https://doi.org/10.1137/1.9781611977653.ch70,null,C,no_arxiv,0 2022,ACM TKDD,"Assessing Large-Scale Power Relations among Locations from Mobility Data.",UFMG,Lucas Santos de Oliveira; Pedro Olmo Stancioli Vaz de Melo; Aline Carneiro Viana,https://doi.org/10.1145/3470770,top,J,no_arxiv,0 2022,ACM TKDD,"Asymmetric Multi-Task Learning with Local Transference.",FEEC/UNICAMP,Saullo H. G. Oliveira; André R. Gonçalves 0001; Fernando J. Von Zuben,https://doi.org/10.1145/3514252,top,J,no_arxiv,0 2022,ACM TKDD,"Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift.",UFPE,Juan Isidro González Hidalgo; Silas G. T. C. Santos; Roberto S. M. Barros,https://doi.org/10.1145/3466616,top,J,no_arxiv,0 -2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",UFMG,Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco A. Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 +2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",UFMG,Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco Aurélio Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 2022,Data Min. Knowl. Discov.,"Developing Biceps to completely compute in subquadratic time a new generic type of bicluster in dense and sparse matrices.",UFMG,Bernardo A. Abreu; João Paulo Ataide Martins; Loïc Cerf,https://doi.org/10.1007/s10618-022-00834-3,null,J,no_arxiv,0 2022,Data Min. Knowl. Discov.,"Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.",UFU,Rianne Margaretha Schouten; Marcos L. P. Bueno; Wouter Duivesteijn; Mykola Pechenizkiy,https://doi.org/10.1007/s10618-021-00808-x,null,J,no_arxiv,0 2022,Data Min. Knowl. Discov.,"Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.",UFMG,Carlos H. C. Teixeira; Mayank Kakodkar; Vinícius Vitor dos Santos Dias; Wagner Meira Jr.; Bruno Ribeiro 0001,https://doi.org/10.1007/s10618-021-00802-3,null,J,http://arxiv.org/abs/2012.03879v3,0 @@ -47,7 +55,7 @@ 2022,Inf. Sciences,"A reinforcement learning approach for single redundant view co-training text classification.",UFMG,Bruno B. M. Paiva; Erickson R. Nascimento; Marcos André Gonçalves; Fabiano Belém,https://doi.org/10.1016/j.ins.2022.09.065,null,J,no_arxiv,0 2022,Inf. Sciences,"A survey on facial emotion recognition techniques: A state-of-the-art literature review.",UFSC,Felipe Zago Canal; Tobias Rossi Müller; Jhennifer Cristine Matias; Gustavo Gino Scotton; Antonio Reis de Sá-Junior; Eliane Pozzebon; Antonio Carlos Sobieranski,https://doi.org/10.1016/j.ins.2021.10.005,null,J,no_arxiv,0 2022,Inf. Sciences,"An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering.",UFPR,Cristina Y. Morimoto; Aurora T. R. Pozo; Marcilio C. P. de Souto,https://doi.org/10.1016/j.ins.2022.08.045,null,J,no_arxiv,0 -2022,Inf. Sciences,"Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.",ICMC/USP,Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram,https://doi.org/10.1016/j.ins.2022.05.100,null,J,no_arxiv,0 +2022,Inf. Sciences,"Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.",ICMC/USP,Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram 0002,https://doi.org/10.1016/j.ins.2022.05.100,null,J,no_arxiv,0 2022,Inf. Sciences,"How to build high quality L2R training data: Unsupervised compression-based selective sampling for learning to rank.",UFMG,Rodrigo M. Silva; Guilherme C. M. Gomes; Mário S. Alvim; Marcos André Gonçalves,https://doi.org/10.1016/j.ins.2022.04.012,null,J,no_arxiv,0 2022,Inf. Sciences,"Semi-overlap functions and novel fuzzy reasoning algorithms with applications.",UFRN,Xiaohong Zhang 0001; Mei Wang; Benjamín R. C. Bedregal; Mengyuan Li; Rong Liang,https://doi.org/10.1016/j.ins.2022.10.017,null,J,no_arxiv,0 2022,Inf. Sciences,"Semi-supervised clustering with inaccurate pairwise annotations.",PUC-Rio,Daniel Gribel; Michel Gendreau; Thibaut Vidal,https://doi.org/10.1016/j.ins.2022.05.035,null,J,no_arxiv,0 @@ -59,7 +67,7 @@ 2022,Machine Learning,"Relating instance hardness to classification performance in a dataset: a visual approach.",UNIFESP,Pedro Yuri Arbs Paiva; Camila Castro Moreno; Kate Smith-Miles; Maria Gabriela Valeriano; Ana Carolina Lorena,https://doi.org/10.1007/s10994-022-06205-9,null,J,no_arxiv,0 2022,NIPS/NeurIPS,"Decision Trees with Short Explainable Rules.",PUC-Rio,Victor Feitosa Souza; Ferdinando Cicalese; Eduardo Sany Laber; Marco Molinaro 0001,http://papers.nips.cc/paper_files/paper/2022/hash/500637d931d4feb99d5cce84af1f53ba-Abstract-Conference.html,top,C,no_arxiv,0 2022,NIPS/NeurIPS,"Off-Policy Evaluation for Action-Dependent Non-stationary Environments.",UFRGS,Yash Chandak; Shiv Shankar; Nathaniel D. Bastian; Bruno C. da Silva 0001; Emma Brunskill; Philip S. Thomas,http://papers.nips.cc/paper_files/paper/2022/hash/3bf80b34f731313b8292f4578e820c90-Abstract-Conference.html,top,C,no_arxiv,0 -2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",IFCE; FGV,Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas K. Garg,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 +2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",IFCE; FGV,Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas Garg 0001,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 2021,ACM TKDD,"An Instance Space Analysis of Regression Problems.",UNIFESP; UFMG,Mario Andrés Muñoz; Tao Yan; Matheus R. Leal; Kate Smith-Miles; Ana Carolina Lorena; Gisele L. Pappa; Rômulo Madureira Rodrigues,https://doi.org/10.1145/3436893,top,J,no_arxiv,0 2021,BigData,"Distributed file system for rewriting Big Data files using a local-write protocol.",POLI/USP,Erico Correia Da Silva; Liria Matsumoto Sato; Edson Toshimi Midorikawa,https://doi.org/10.1109/BigData52589.2021.9671741,null,C,no_arxiv,0 2021,BigData,"Does Dataset Complexity Matters for Model Explainers?",UFPA,José de S. Ribeiro; Raíssa Lorena Silva da Silva; Lucas Felipe Ferraro Cardoso; Ronnie Alves,https://doi.org/10.1109/BigData52589.2021.9671630,null,C,http://arxiv.org/abs/2107.02661v2,0 @@ -106,7 +114,7 @@ 2020,Data Min. Knowl. Discov.,"Active learning for hierarchical multi-label classification.",UFSCar,Felipe Kenji Nakano; Ricardo Cerri; Celine Vens,https://doi.org/10.1007/s10618-020-00704-w,null,J,no_arxiv,0 2020,Data Min. Knowl. Discov.,"Challenges in benchmarking stream learning algorithms with real-world data.",ICMC/USP,Vinícius M. A. de Souza; Denis Moreira dos Reis; André Gustavo Maletzke; Gustavo E. A. P. A. Batista,https://doi.org/10.1007/s10618-020-00698-5,null,J,no_arxiv,0 2020,Data Min. Knowl. Discov.,"MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification.",UFSC,Carlos Andres Ferrero; Lucas May Petry; Luis Otávio Alvares; Camila Leite da Silva; Willian Zalewski; Vania Bogorny,https://doi.org/10.1007/s10618-020-00676-x,null,J,no_arxiv,0 -2020,Data Min. Knowl. Discov.,"The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.",ICMC/USP,Yan Zhu 0014; Shaghayegh Gharghabi; Diego Furtado Silva; Hoang Anh Dau; Chin-Chia Michael Yeh; Nader Shakibay Senobari; Abdulaziz Almaslukh; Kaveh Kamgar; Zachary Zimmerman; Gareth J. Funning; Abdullah Mueen 0001; Eamonn J. Keogh,https://doi.org/10.1007/s10618-019-00668-6,null,J,no_arxiv,0 +2020,Data Min. Knowl. Discov.,"The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.",ICMC/USP,Yan Zhu 0014; Shaghayegh Gharghabi; Diego Furtado Silva; Hoang Anh Dau; Chin-Chia Michael Yeh; Nader Shakibay Senobari; Abdulaziz Almaslukh; Kaveh Kamgar; Zachary Zimmerman; Gareth J. Funning; Abdullah Mueen; Eamonn J. Keogh,https://doi.org/10.1007/s10618-019-00668-6,null,J,no_arxiv,0 2020,ECML/PKDD,"Networked Point Process Models Under the Lens of Scrutiny.",UFMG,Guilherme R. Borges; Flavio V. D. de Figueiredo; Renato M. Assunção; Pedro O. S. Vaz de Melo,https://doi.org/10.1007/978-3-030-67658-2_12,null,C,no_arxiv,0 2020,ECML/PKDD,"Predictive Bi-clustering Trees for Hierarchical Multi-label Classification.",UFSCar,Bruna Zamith Santos; Felipe Kenji Nakano; Ricardo Cerri; Celine Vens,https://doi.org/10.1007/978-3-030-67664-3_42,null,C,no_arxiv,0 2020,ICML,"Born-Again Tree Ensembles.",PUC-Rio,Thibaut Vidal; Maximilian Schiffer,http://proceedings.mlr.press/v119/vidal20a.html,top,C,no_arxiv,0 @@ -122,8 +130,8 @@ 2020,Inf. Sciences,"Enhanced word embeddings using multi-semantic representation through lexical chains.",UFABC,Terry Ruas; Charles Henrique Porto Ferreira; William I. Grosky; Fabrício Olivetti de França; Debora Maria Rossi de Medeiros,https://doi.org/10.1016/j.ins.2020.04.048,null,J,no_arxiv,0 2020,Inf. Sciences,"General interval-valued overlap functions and interval-valued overlap indices.",UFRN; FURG,Tiago da Cruz Asmus; Graçaliz Pereira Dimuro; Benjamín R. C. Bedregal; José Antonio Sanz 0001; Sidnei F. Pereira Jr.; Humberto Bustince,https://doi.org/10.1016/j.ins.2020.03.091,null,J,no_arxiv,0 2020,Inf. Sciences,"Pre-processing approaches for collaborative filtering based on hierarchical clustering.",ICMC/USP,Fernando Soares de Aguiar Neto; Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello,https://doi.org/10.1016/j.ins.2020.05.021,null,J,no_arxiv,0 -2020,JMLR,"DESlib: A Dynamic ensemble selection library in Python.",UFPE,Rafael M. O. Cruz; Luiz G. Hafemann; Robert Sabourin; George D. C. Cavalcanti,http://jmlr.org/papers/v21/18-144.html,top,J,http://arxiv.org/abs/1802.04967v3,0 -2020,JMLR,"MFE: Towards reproducible meta-feature extraction.",ICMC/USP,Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho,http://jmlr.org/papers/v21/19-348.html,top,J,no_arxiv,0 +2020,JMLR,"DESlib: A Dynamic ensemble selection library in Python.",UFPE,Rafael M. O. Cruz; Luiz G. Hafemann; Robert Sabourin; George D. C. Cavalcanti,https://jmlr.org/papers/v21/18-144.html,top,J,no_arxiv,0 +2020,JMLR,"MFE: Towards reproducible meta-feature extraction.",ICMC/USP,Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho,https://jmlr.org/papers/v21/19-348.html,top,J,no_arxiv,0 2020,KDD,"Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory.",UFPR,Alane M. de Lima; Murilo V. G. da Silva; André Luís Vignatti,https://doi.org/10.1145/3394486.3403235,top,C,no_arxiv,0 2020,Machine Learning,"An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.",ICMC/USP,Adriano Rivolli; Jesse Read; Carlos Soares; Bernhard Pfahringer; André C. P. L. F. de Carvalho,https://doi.org/10.1007/s10994-020-05879-3,null,J,no_arxiv,0 2020,Machine Learning,"Transfer learning by mapping and revising boosted relational dependency networks.",UFF; COPPE/UFRJ,Rodrigo Azevedo Santos; Aline Paes; Gerson Zaverucha,https://doi.org/10.1007/s10994-020-05871-x,null,J,no_arxiv,0 @@ -161,6 +169,6 @@ 2019,Inf. Sciences,"Multi-objective evolutionary algorithm with prediction in the objective space.",UFPE,Elaine Guerrero-Pena; Aluízio Fausto Ribeiro Araújo,https://doi.org/10.1016/j.ins.2019.05.091,null,J,no_arxiv,0 2019,Inf. Sciences,"Multilayer complex network descriptors for color-texture characterization.",UFMS,Leonardo F. S. Scabini; Rayner H. Montes Condori; Wesley Nunes Gonçalves; Odemir M. Bruno,https://doi.org/10.1016/j.ins.2019.02.060,null,J,no_arxiv,0 2019,Inf. Sciences,"Optimal Boolean lattice-based algorithms for the U-curve optimization problem.",IME/USP; UNICAMP,Marcelo da Silva Reis; Gustavo Estrela; Carlos Eduardo Ferreira; Junior Barrera,https://doi.org/10.1016/j.ins.2018.08.060,null,J,no_arxiv,0 -2019,JMLR,"Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees.",UFMG,Leonardo Vilela Teixeira; Renato M. Assunção; Rosangela Helena Loschi,http://jmlr.org/papers/v20/16-615.html,top,J,no_arxiv,0 +2019,JMLR,"Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees.",UFMG,Leonardo Vilela Teixeira; Renato M. Assunção; Rosangela Helena Loschi,https://jmlr.org/papers/v20/16-615.html,top,J,no_arxiv,0 2019,Machine Learning,"Online probabilistic theory revision from examples with ProPPR.",UFF; COPPE/UFRJ,Victor Guimarães 0001; Aline Paes; Gerson Zaverucha,https://doi.org/10.1007/s10994-019-05798-y,null,J,no_arxiv,0 2019,RecSys,"Online learning to rank for sequential music recommendation.",UFMG,Bruno L. Pereira; Alberto Ueda; Gustavo Penha; Rodrygo L. T. Santos; Nivio Ziviani,https://doi.org/10.1145/3298689.3347019,null,C,no_arxiv,0 diff --git a/data/data-out-profs-list.csv b/data/data-out-profs-list.csv index 96e3a8bd..d15f143f 100644 --- a/data/data-out-profs-list.csv +++ b/data/data-out-profs-list.csv @@ -35,6 +35,7 @@ Carlos Ferreira,IME/USP Carlos Lucena,PUC-Rio Carlos Silla,PUC-PR Celso Ribeiro,UFF +Cesar Lincoln Mattos,UFC Cristiano Costa,Unisinos Cristina Ciferri,ICMC/USP Cristina Nader Vasconcelos,UFF @@ -50,6 +51,7 @@ Eduardo Sany Laber,PUC-Rio Elder Cirilo,UFSJ Eliane Pozzebon,UFSC Erickson Rangel do Nascimento,UFMG +Fabio Cozman,POLI/USP Fabricio Benevenuto,UFMG Fabricio Murai,UFMG Fabricio Olivetti de Franca,UFABC @@ -68,6 +70,7 @@ Gustavo Batista,ICMC/USP Heitor Ramos,UFMG Hermes Senger,UFSCar Hyggo Almeida,UFCG +Jacques Wainer,UNICAMP Jefersson dos Santos,UFMG Joao Bertini,FT/UNICAMP Joao Paulo Papa,UNESP @@ -79,12 +82,14 @@ Jose Ferreira de Rezende,COPPE/UFRJ Jose Viterbo,UFF Junior Barrera,IME/USP Jurandy Almeida,UFSCar +Karina Valdivia Delgado,IME/USP Leonardo Barbosa Oliveira,UFMG Levi Lelis,UFV Lilian Berton,UNIFESP Liria Sato,POLI/USP Loic Cerf,UFMG Luciano Silva,UFPR +Luis Gustavo Nonato,ICMC/USP Luis Zarate,PUC Minas Luiz Eduardo Soares Oliveira,UFPR Luiz Gonzaga,Unisinos @@ -122,6 +127,7 @@ Ricardo Cerri,UFSCar Ricardo Marcacini,UFMS Ricardo Prudencio,UFPE Ricardo Torres,UNICAMP +Roberto Imbuzeiro Oliveira,IMPA Roberto Souto Barros,UFPE Rodolfo Stoffel Antunes,Unisinos Rodrigo Mello,ICMC/USP diff --git a/data/data-out-scores.csv b/data/data-out-scores.csv index 474f769d..635b9166 100644 --- a/data/data-out-scores.csv +++ b/data/data-out-scores.csv @@ -1,31 +1,33 @@ +ICMC/USP,13.07 UFMG,12.3 -ICMC/USP,12.27 PUC-Rio,8.99 UFPE,8.95 UFRGS,8.33 IFCE,5.0 COPPE/UFRJ,4.19 UFF,3.92 +UNICAMP,3.79 UFSCar,3.45 FGV,3.0 UFPR,2.99 UNIFESP,2.79 -UNICAMP,2.39 UFRN,2.31 +FFCLRP/USP,1.73 UFSC,1.73 +UFU,1.73 UFMS,1.72 +IME/USP,1.66 FURG,1.65 +POLI/USP,1.33 UFC,1.33 FEEC/UNICAMP,1.0 +IMPA,1.0 UFAM,1.0 UFOP,1.0 UFV,1.0 UNESP,0.99 -FFCLRP/USP,0.73 PUC-PR,0.73 UEL,0.73 -UFU,0.73 -IME/USP,0.66 LNCC,0.66 UFABC,0.66 Unisinos,0.66 @@ -33,7 +35,6 @@ DCC/UFRJ,0.33 EACH/USP,0.33 FT/UNICAMP,0.33 Inatel,0.33 -POLI/USP,0.33 PUC Minas,0.33 PUC/PR,0.33 UERJ,0.33 diff --git a/data/dbis-out-confs.csv b/data/dbis-out-confs.csv index 4cc231a1..7d3478c8 100644 --- a/data/dbis-out-confs.csv +++ b/data/dbis-out-confs.csv @@ -1,9 +1,9 @@ ER,28 CAiSE,9 EDOC,9 +ICDE,4 EDBT,2 -ICDE,2 +BPM,1 SIGMOD,1 -BPM,0 ICDT,0 PODS,0 diff --git a/data/dbis-out-journals.csv b/data/dbis-out-journals.csv index 1e46d695..1e2e27fb 100644 --- a/data/dbis-out-journals.csv +++ b/data/dbis-out-journals.csv @@ -1,8 +1,8 @@ Inf. Systems,35 -Data & Knowl. Eng.,13 +Data & Knowl. Eng.,15 Proc. VLDB,10 Trans. GIS,9 -GeoInformatica,3 +GeoInformatica,4 ACM TOIS,2 ACM TMIS,0 ACM TODS,0 diff --git a/data/dbis-out-papers.csv b/data/dbis-out-papers.csv index 0b12a27e..19ceb3f2 100644 --- a/data/dbis-out-papers.csv +++ b/data/dbis-out-papers.csv @@ -1,5 +1,11 @@ +2024,BPM,"CoSMo: A Framework to Instantiate Conditioned Process Simulation Models.",UEL,Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo,https://doi.org/10.1007/978-3-031-70396-6_19,null,C,http://arxiv.org/abs/2303.17879v4,0 2024,CAiSE,"Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.",UEL,Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo,https://doi.org/10.1007/978-3-031-61057-8_5,null,C,no_arxiv,0 +2024,Data & Knowl. Eng.,"Evaluating quality of ontology-driven conceptual models abstractions.",UFES,Elena Romanenko; Diego Calvanese; Giancarlo Guizzardi,https://doi.org/10.1016/j.datak.2024.102342,null,J,no_arxiv,0 +2024,Data & Knowl. Eng.,"Explanation, semantics, and ontology.",UFES,Giancarlo Guizzardi; Nicola Guarino,https://doi.org/10.1016/j.datak.2024.102325,null,J,no_arxiv,0 2024,Data & Knowl. Eng.,"Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support.",EACH/USP,Rafael Gaspar de Sousa; Antonio Carlos Meira Neto; Marcelo Fantinato; Sarajane Marques Peres; Hajo Alexander Reijers,https://doi.org/10.1016/j.datak.2023.102253,null,J,no_arxiv,0 +2024,GeoInformatica,"A survey on the computation of representative trajectories.",UFSC,Vanessa Lago Machado; Ronaldo dos Santos Mello; Vania Bogorny; Geomar André Schreiner,https://doi.org/10.1007/s10707-024-00514-y,null,J,no_arxiv,0 +2024,ICDE,"Discovering Denial Constraints in Dynamic Datasets.",LNCC,Eduardo H. M. Pena; Fábio Porto 0001; Felix Naumann,https://doi.org/10.1109/ICDE60146.2024.00273,top,C,no_arxiv,0 +2024,ICDE,"Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets.",ICMC/USP,Braulio Valentin Sanchez Vinces; Robson L. F. Cordeiro; Christos Faloutsos,https://doi.org/10.1109/ICDE60146.2024.00116,top,C,http://arxiv.org/abs/2403.08027v1,0 2023,CAiSE,"Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks.",UFES,Syed Juned Ali; Giancarlo Guizzardi; Dominik Bork,https://doi.org/10.1007/978-3-031-34560-9_17,null,C,no_arxiv,0 2023,CAiSE,"Ontological Representation of FAIR Principles: A Blueprint for FAIRer Data Sources.",UFES,Anna Bernasconi 0002; Alberto García Simón; Giancarlo Guizzardi; Luiz Olavo Bonino da Silva Santos; Veda C. Storey,https://doi.org/10.1007/978-3-031-34560-9_16,null,C,no_arxiv,0 2023,Data & Knowl. Eng.,"A FAIR catalog of ontology-driven conceptual models.",UFES,Tiago Prince Sales; Pedro Paulo F. Barcelos; Claudenir M. Fonseca; Isadora Valle Souza; Elena Romanenko; César Henrique Bernabé; Luiz Olavo Bonino da Silva Santos; Mattia Fumagalli; Joshua Kritz; João Paulo A. Almeida; Giancarlo Guizzardi,https://doi.org/10.1016/j.datak.2023.102210,null,J,no_arxiv,0 diff --git a/data/dbis-out-scores.csv b/data/dbis-out-scores.csv index a03b5378..c9d76272 100644 --- a/data/dbis-out-scores.csv +++ b/data/dbis-out-scores.csv @@ -1,21 +1,21 @@ -UFES,13.71 +UFES,14.51 UFMG,5.6 UFPR,5.46 UFRGS,4.45 +ICMC/USP,3.8 +UFSC,3.13 UFSCar,2.93 PUC-Rio,2.93 -ICMC/USP,2.8 UNIRIO,2.78 -UFSC,2.73 UFC,2.46 +LNCC,2.0 UFF,2.0 UFSJ,1.6 EACH/USP,1.53 +UEL,1.46 UFCG,1.2 UnB,1.2 -UEL,1.13 IME/USP,1.0 -LNCC,1.0 PUC-RS,1.0 UFG,1.0 UTFPR,1.0 diff --git a/data/graphics-out-journals.csv b/data/graphics-out-journals.csv index e253371e..e71bba12 100644 --- a/data/graphics-out-journals.csv +++ b/data/graphics-out-journals.csv @@ -1,5 +1,5 @@ Multimedia Tools Appl.,89 -Computers & Graphics,71 +Computers & Graphics,70 IEEE TVCG,31 Computer Graphics Forum,19 The Visual Computer,14 diff --git a/data/graphics-out-papers.csv b/data/graphics-out-papers.csv index da1565f1..97947676 100644 --- a/data/graphics-out-papers.csv +++ b/data/graphics-out-papers.csv @@ -5,7 +5,6 @@ 2024,Computers & Graphics,"Computer Vision Model Compression Techniques for Embedded Systems:A Survey.",UNICAMP,Alexandre Lopes; Fernando Pereira dos Santos; Diulhio Oliveira; Mauricio Schiezaro; Hélio Pedrini,https://doi.org/10.1016/j.cag.2024.104015,null,J,http://arxiv.org/abs/2408.08250v1,0 2024,Computers & Graphics,"Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis.",UFMG,Rafael Azevedo; Thiago M. Coutinho; João Pedro Moreira Ferreira; Thiago L. Gomes; Erickson R. Nascimento,https://doi.org/10.1016/j.cag.2024.104065,null,J,http://arxiv.org/abs/2408.15159v1,0 2024,Computers & Graphics,"Fast direct multi-person radiance fields from sparse input with dense pose priors.",UFRPE; UFPE,João Paulo Lima; Hideaki Uchiyama; Diego Thomas; Veronica Teichrieb,https://doi.org/10.1016/j.cag.2024.104063,null,J,no_arxiv,0 -2024,Computers & Graphics,"Foreword to the Special Section on XR Technologies for Healthcare and Wellbeing.",UFRGS,Anderson Maciel; Matias Volonte; Helena Mentis,https://doi.org/10.1016/j.cag.2024.104046,null,J,no_arxiv,0 2024,Computers & Graphics,"From past to present: A tertiary investigation of twenty-four years of image inpainting.",UFF,Iany Macedo Barcelos; Taís Bruno Rabelo; Flavia Bernardini; Rodrigo Salvador Monteiro; Leandro Augusto Frata Fernandes,https://doi.org/10.1016/j.cag.2024.104010,null,J,no_arxiv,0 2024,Computers & Graphics,"From superpixels to foundational models: An overview of unsupervised and generalizable image segmentation.",UFMG,Cristiano N. Rodrigues; Ian Monteiro Nunes; Matheus Barros Pereira; Hugo N. Oliveira 0001; Jefersson A. dos Santos,https://doi.org/10.1016/j.cag.2024.104014,null,J,no_arxiv,0 2024,Computers & Graphics,"Human-in-the-loop: Using classifier decision boundary maps to improve pseudo labels.",UNICAMP,Barbara Caroline Benato; Cristian Grosu; Alexandre X. Falcão; Alexandru C. Telea,https://doi.org/10.1016/j.cag.2024.104062,null,J,no_arxiv,0 diff --git a/data/graphics-out-scores.csv b/data/graphics-out-scores.csv index e5e6b47f..189cc7c4 100644 --- a/data/graphics-out-scores.csv +++ b/data/graphics-out-scores.csv @@ -1,5 +1,5 @@ ICMC/USP,21.31 -UFRGS,18.65 +UFRGS,18.25 UFPE,11.12 UFF,10.25 PUC-Rio,7.13 diff --git a/data/hardware-out-papers.csv b/data/hardware-out-papers.csv index 35db7c14..f4365a8e 100644 --- a/data/hardware-out-papers.csv +++ b/data/hardware-out-papers.csv @@ -1,4 +1,4 @@ -2024,DATE,"Full-Stack Optimization for CAM-Only DNN Inference.",UFRGS,João Paulo C. de Lima; Asif Ali Khan; Luigi Carro; Jerónimo Castrillón,https://ieeexplore.ieee.org/document/10546805,null,C,no_arxiv,0 +2024,DATE,"Full-Stack Optimization for CAM-Only DNN Inference.",UFRGS,João Paulo C. de Lima; Asif Ali Khan; Luigi Carro; Jerónimo Castrillón,https://doi.org/10.23919/DATE58400.2024.10546805,null,C,no_arxiv,0 2024,IEEE TCAD,"Circuit Decomposition of Multicontrolled Special Unitary Single-Qubit Gates.",UFPE,Rafaella Vale; Thiago Melo D. Azevedo; Ismael C. S. Araujo; Israel F. Araujo; Adenilton J. da Silva,https://doi.org/10.1109/TCAD.2023.3327102,null,J,no_arxiv,0 2024,IEEE TCAD,"ILPGRC: ILP-Based Global Routing Optimization With Cell Movements.",UFSC,Tiago Augusto Fontana; Erfan Aghaeekiasaraee; Renan Netto; Sheiny Fabre Almeida; Upma Gandhi; Laleh Behjat; José Luís Güntzel,https://doi.org/10.1109/TCAD.2023.3305579,null,J,no_arxiv,0 2024,IEEE TCAD,"Low-Rank Quantum State Preparation.",UFPE,Israel F. Araujo; Carsten Blank; Ismael C. S. Araujo; Adenilton J. da Silva,https://doi.org/10.1109/TCAD.2023.3297972,null,J,no_arxiv,0 @@ -35,7 +35,7 @@ 2021,ASP-DAC,"Exploiting HLS-Generated Multi-Version Kernels to Improve CPU-FPGA Cloud Systems.",UFRGS,Bernardo Neuhaus Lignati; Michael Guilherme Jordan; Guilherme Korol; Mateus Beck Rutzig; Antonio Carlos Schneider Beck,https://doi.org/10.1145/3394885.3431557,null,C,no_arxiv,0 2021,ASP-DAC,"Providing Plug N' Play for Processing-in-Memory Accelerators.",UFRGS,Paulo C. Santos 0001; Bruno E. Forlin; Luigi Carro,https://doi.org/10.1145/3394885.3431527,null,C,no_arxiv,0 2021,DAC,"Synergically Rebalancing Parallel Execution via DCT and Turbo Boosting.",UFRGS,Sandro M. Marques; Thiarles S. Medeiros; Fábio Diniz Rossi; Marcelo Caggiani Luizelli; Antonio Carlos Schneider Beck; Arthur Francisco Lorenzon,https://doi.org/10.1109/DAC18074.2021.9586201,top,C,no_arxiv,0 -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",FURG; UFPEL; UFRGS,Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",FURG; UFPEL; UFRGS,Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 2021,DATE,"Sim2PIM: A Fast Method for Simulating Host Independent & PIM Agnostic Designs.",UFRGS,Paulo C. Santos 0001; Bruno E. Forlin; Luigi Carro,https://doi.org/10.23919/DATE51398.2021.9474104,null,C,no_arxiv,0 2021,IEEE TCAD,"TRAVERSAL: A Fast and Adaptive Graph-Based Placement and Routing for CGRAs.",UFV,Michael Canesche; Marcelo M. Menezes; Westerley Carvalho; Frank Sill Torres; Peter Jamieson; José Augusto Miranda Nacif; Ricardo S. Ferreira 0001,https://doi.org/10.1109/TCAD.2020.3025513,null,J,no_arxiv,0 2021,IEEE TCAS,"A High-Level Modeling Framework for Estimating Hardware Metrics of CNN Accelerators.",PUC-RS,Leonardo Rezende Juracy; Matheus Trevisan Moreira; Alexandre de Morais Amory; Alexandre F. Hampel; Fernando Gehm Moraes,https://doi.org/10.1109/TCSI.2021.3104644,top,J,no_arxiv,0 diff --git a/data/ir-out-journals.csv b/data/ir-out-journals.csv index 0a9264ad..50ffe537 100644 --- a/data/ir-out-journals.csv +++ b/data/ir-out-journals.csv @@ -1,4 +1,4 @@ -Inf. Process. Mgmt.,20 +Inf. Process. Mgmt.,22 ACM TOIT,7 IEEE Internet Computing,6 ACM TWEB,2 diff --git a/data/ir-out-papers.csv b/data/ir-out-papers.csv index 95cd9b13..37c91dce 100644 --- a/data/ir-out-papers.csv +++ b/data/ir-out-papers.csv @@ -3,6 +3,8 @@ 2024,ICWSM,"Strategies and Attacks of Digital Militias in WhatsApp Political Groups.",UFMG,Daniel Kansaon; Philipe de Freitas Melo; Savvas Zannettou; Anja Feldmann; Fabrício Benevenuto,https://doi.org/10.1609/icwsm.v18i1.31354,null,C,no_arxiv,0 2024,ICWSM,"Topic Shifts as a Proxy for Assessing Politicization in Social Media.",UFMG,Marcelo Sartori Locatelli; Pedro H. Calais; Matheus Prado Miranda; João Pedro Junho; Tomas Lacerda Muniz; Wagner Meira Jr.; Virgílio Almeida 0001,https://doi.org/10.1609/icwsm.v18i1.31366,null,C,http://arxiv.org/abs/2312.11326v2,0 2024,ICWSM,"Unraveling User Coordination on Telegram: A Comprehensive Analysis of Political Mobilization during the 2022 Brazilian Presidential Election.",UFMG,Otavio R. Venâncio; Carlos H. G. Ferreira 0001; Jussara M. Almeida; Ana Paula Couto da Silva,https://doi.org/10.1609/icwsm.v18i1.31408,null,C,no_arxiv,0 +2024,Inf. Process. Mgmt.,"From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese.",UFMG,Mariana O. Silva; Luiza de Melo-Gomes; Mirella M. Moro,https://doi.org/10.1016/j.ipm.2024.103647,null,J,no_arxiv,0 +2024,Inf. Process. Mgmt.,"Less is more: Pruning BERTweet architecture in Twitter sentiment analysis.",UFF,Ricardo Moura; Jonnathan Carvalho; Alexandre Plastino 0001; Aline Paes,https://doi.org/10.1016/j.ipm.2024.103688,null,J,no_arxiv,0 2024,WWW,"Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.",UFMG,Rodrigo Alves; Antoine Ledent; Renato Assunção; Pedro O. S. Vaz de Melo; Marius Kloft,https://doi.org/10.1145/3589334.3645473,top,C,no_arxiv,0 2024,WebSci,"What makes a viral song? Unraveling music virality factors.",UFMG,Gabriel P. Oliveira; Ana Paula Couto da Silva; Mirella M. Moro,https://doi.org/10.1145/3614419.3644011,null,C,no_arxiv,0 2023,ACM TOIT,"Taming Internet of Things Application Development with the IoTvar Middleware.",UFRN,Pedro Victor Borges 0001; Chantal Taconet; Sophie Chabridon; Denis Conan; Everton Cavalcante; Thaís Batista,https://doi.org/10.1145/3586010,top,J,no_arxiv,0 diff --git a/data/ir-out-profs-list.csv b/data/ir-out-profs-list.csv index 94e82862..91dd36d4 100644 --- a/data/ir-out-profs-list.csv +++ b/data/ir-out-profs-list.csv @@ -1,5 +1,6 @@ Adriano Pereira,UFMG Adriano Veloso,UFMG +Alexandre Plastino,UFF Aline Paes,UFF Altigran Silva,UFAM Ana Paula Couto da Silva,UFMG diff --git a/data/ir-out-scores.csv b/data/ir-out-scores.csv index 8fd3ffe5..e11d9aef 100644 --- a/data/ir-out-scores.csv +++ b/data/ir-out-scores.csv @@ -1,4 +1,4 @@ -UFMG,21.39 +UFMG,21.79 UFSJ,5.53 UFRN,2.66 UFRGS,2.13 @@ -6,6 +6,7 @@ UFSC,2.13 Inatel,2.0 IME/USP,1.33 UNIRIO,1.33 +UFF,1.13 ICMC/USP,1.06 DCC/UFRJ,1.0 UFC,1.0 @@ -13,7 +14,6 @@ UFAM,0.8 UNESP,0.8 PUC-Rio,0.73 UFCG,0.73 -UFF,0.73 UFG,0.73 UNICAMP,0.73 PUC Minas,0.66 diff --git a/data/profs/search/Alexandre-Plastino.csv b/data/profs/search/Alexandre-Plastino.csv index 95d7c8e1..b1afbbc1 100644 --- a/data/profs/search/Alexandre-Plastino.csv +++ b/data/profs/search/Alexandre-Plastino.csv @@ -4,6 +4,7 @@ 2021,IEEE/ACM TCBB,"A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes.",Pablo Nascimento da Silva; Alexandre Plastino 0001; Fabio Fabris; Alex Alves Freitas,https://doi.org/10.1109/TCBB.2020.2988450,null,J,no_arxiv,0 2023,Data Min. Knowl. Discov.,"Sentiment analysis in tweets: an assessment study from classical to modern word representation models.",Sérgio Barreto; Ricardo Moura; Jonnathan Carvalho; Aline Paes; Alexandre Plastino 0001,https://doi.org/10.1007/s10618-022-00853-0,null,J,no_arxiv,0 2022,J. Grid Comput.,"A Provenance-based Execution Strategy for Variant GPU-accelerated Scientific Workflows in Clouds.",Murilo B. Stockinger; Marcos A. Guerine; Ubiratam de Paula Junior; Filipe Santiago; Yuri Frota; Isabel Rosseti; Alexandre Plastino 0001; Daniel de Oliveira 0001,https://doi.org/10.1007/s10723-022-09625-y,null,J,no_arxiv,0 +2024,Inf. Process. Mgmt.,"Less is more: Pruning BERTweet architecture in Twitter sentiment analysis.",Ricardo Moura; Jonnathan Carvalho; Alexandre Plastino 0001; Aline Paes,https://doi.org/10.1016/j.ipm.2024.103688,null,J,no_arxiv,0 2024,Networks,"An improved hybrid genetic search with data mining for the CVRP.",Marcelo Rodrigues de Holanda Maia; Alexandre Plastino 0001; Uéverton dos Santos Souza,https://doi.org/10.1002/net.22213,null,J,no_arxiv,0 2022,ITOR,"Improving a state-of-the-art heuristic for the minimum latency problem with data mining.",Ítalo Santana; Alexandre Plastino 0001; Isabel Rosseti,https://doi.org/10.1111/itor.12774,null,J,no_arxiv,0 2020,Computers & OR,"MineReduce: An approach based on data mining for problem size reduction.",Marcelo Rodrigues de Holanda Maia; Alexandre Plastino 0001; Puca Huachi Vaz Penna,https://doi.org/10.1016/j.cor.2020.104995,null,J,http://arxiv.org/abs/2005.07415v2,0 diff --git a/data/profs/search/Aline-Paes.csv b/data/profs/search/Aline-Paes.csv index ebcb1d8a..e20ef6ee 100644 --- a/data/profs/search/Aline-Paes.csv +++ b/data/profs/search/Aline-Paes.csv @@ -7,5 +7,6 @@ 2020,Machine Learning,"Transfer learning by mapping and revising boosted relational dependency networks.",Rodrigo Azevedo Santos; Aline Paes; Gerson Zaverucha,https://doi.org/10.1007/s10994-020-05871-x,null,J,no_arxiv,0 2019,Machine Learning,"Online probabilistic theory revision from examples with ProPPR.",Victor Guimarães 0001; Aline Paes; Gerson Zaverucha,https://doi.org/10.1007/s10994-019-05798-y,null,J,no_arxiv,0 2021,Concurr. & Computation,"An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud.",André Nascimento; Vítor Silva 0003; Aline Paes; Daniel de Oliveira 0001,https://doi.org/10.1002/cpe.6193,null,J,no_arxiv,0 +2024,Inf. Process. Mgmt.,"Less is more: Pruning BERTweet architecture in Twitter sentiment analysis.",Ricardo Moura; Jonnathan Carvalho; Alexandre Plastino 0001; Aline Paes,https://doi.org/10.1016/j.ipm.2024.103688,null,J,no_arxiv,0 2020,ICWSM,"See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data.",Paulo Mann; Aline Paes; Elton H. Matsushima,https://ojs.aaai.org/index.php/ICWSM/article/view/7313,null,C,http://arxiv.org/abs/1912.01131v2,0 2019,Inf. Process. Mgmt.,"Querying XML documents using Prolog engines: When is this a good idea?",Fábio G. Santos; Leonardo Machado; Rafael de Araújo M. Pinheiro; Aline Paes; Vanessa Braganholo,https://doi.org/10.1016/j.ipm.2019.05.011,null,J,no_arxiv,0 diff --git a/data/profs/search/Amauri-Holanda-de-Souza-Junior.csv b/data/profs/search/Amauri-Holanda-de-Souza-Junior.csv index e4e372d4..d1e5f51e 100644 --- a/data/profs/search/Amauri-Holanda-de-Souza-Junior.csv +++ b/data/profs/search/Amauri-Holanda-de-Souza-Junior.csv @@ -2,7 +2,7 @@ 2022,Applied Soft Comput.,"Pattern classification based on regional models.",Rômulo B. P. Drumond; Renan F. Albuquerque; Guilherme A. Barreto; Amauri H. Souza,https://doi.org/10.1016/j.asoc.2022.109592,null,J,no_arxiv,0 2019,Applied Soft Comput.,"Gaussian kernels for incomplete data.",Diego P. P. Mesquita; João P. P. Gomes; Francesco Corona; Amauri Holanda de Souza Júnior; Juvêncio S. Nobre,https://doi.org/10.1016/j.asoc.2019.01.022,null,J,no_arxiv,0 2023,NIPS/NeurIPS,"Learning Robust Statistics for Simulation-based Inference under Model Misspecification.",Daolang Huang; Ayush Bharti; Amauri H. Souza; Luigi Acerbi; Samuel Kaski,http://papers.nips.cc/paper_files/paper/2023/hash/16c5b4102a6b6eb061e502ce6736ad8a-Abstract-Conference.html,top,C,no_arxiv,0 -2023,NIPS/NeurIPS,"Going beyond persistent homology using persistent homology.",Johanna Immonen; Amauri H. Souza; Vikas Garg,http://papers.nips.cc/paper_files/paper/2023/hash/c78f81a878a72566422f37279bca0fd0-Abstract-Conference.html,top,C,http://arxiv.org/abs/2311.06152v1,0 -2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas K. Garg,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 +2023,NIPS/NeurIPS,"Going beyond persistent homology using persistent homology.",Johanna Immonen; Amauri H. Souza; Vikas Garg 0001,http://papers.nips.cc/paper_files/paper/2023/hash/c78f81a878a72566422f37279bca0fd0-Abstract-Conference.html,top,C,http://arxiv.org/abs/2311.06152v1,0 +2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas Garg 0001,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 2020,NIPS/NeurIPS,"Rethinking pooling in graph neural networks.",Diego P. P. Mesquita; Amauri H. Souza Jr.; Samuel Kaski,https://proceedings.neurips.cc/paper/2020/hash/1764183ef03fc7324eb58c3842bd9a57-Abstract.html,top,C,http://arxiv.org/abs/2010.11418v1,0 2019,ICML,"Simplifying Graph Convolutional Networks.",Felix Wu; Amauri H. Souza Jr.; Tianyi Zhang 0007; Christopher Fifty; Tao Yu; Kilian Q. Weinberger,http://proceedings.mlr.press/v97/wu19e.html,top,C,http://arxiv.org/abs/1902.07153v2,0 diff --git a/data/profs/search/Anderson-Maciel.csv b/data/profs/search/Anderson-Maciel.csv index d82bb743..49e8f869 100644 --- a/data/profs/search/Anderson-Maciel.csv +++ b/data/profs/search/Anderson-Maciel.csv @@ -2,7 +2,6 @@ 2019,INTERACT,"Instant Rephotography.",Juliano Franz; Anderson Maciel; Luciana P. Nedel,https://doi.org/10.1007/978-3-030-29387-1_12,null,C,no_arxiv,0 2022,ACM Comput. Surveys,"Measuring Presence in Virtual Environments: A Survey.",Vinicius Costa de Souza; Anderson Maciel; Luciana Porcher Nedel; Regis Kopper,https://doi.org/10.1145/3466817,null,J,no_arxiv,0 2024,Computers & Graphics,"Characterizing head-gaze and hand affordances using AR for laparoscopy.",Matheus Dias Negrão; Anderson Maciel,https://doi.org/10.1016/j.cag.2024.103936,null,J,no_arxiv,0 -2024,Computers & Graphics,"Foreword to the Special Section on XR Technologies for Healthcare and Wellbeing.",Anderson Maciel; Matias Volonte; Helena Mentis,https://doi.org/10.1016/j.cag.2024.104046,null,J,no_arxiv,0 2023,Computers & Graphics,"An enhanced interactive endoscope model based on position-based dynamics and Cosserat rods for colonoscopy simulation.",Lucas Zanusso Morais; Victor Kunde Bergmann; Eduarda Abreu Carvalho; Raquel Zimmer; Marcelo Gomes Martins; Luciana Porcher Nedel; Anderson Maciel; Rafael P. Torchelsen,https://doi.org/10.1016/j.cag.2023.08.020,null,J,no_arxiv,0 2021,Computers & Graphics,"Augmented situated visualization methods towards electromagnetic compatibility testing.",Renan Luigi Martins Guarese; Pererik Andreasson; Emil Nilsson; Anderson Maciel,https://doi.org/10.1016/j.cag.2020.10.001,null,J,no_arxiv,0 2019,Computer Graphics Forum,"Appearance Modelling of Living Human Tissues.",Augusto L. P. Nunes; Anderson Maciel; Gary W. Meyer; Nigel W. John; Gladimir V. G. Baranoski; Marcelo Walter,https://doi.org/10.1111/cgf.13604,null,J,no_arxiv,0 diff --git a/data/profs/search/Andre-Ponce-de-Leon-Carvalho.csv b/data/profs/search/Andre-Ponce-de-Leon-Carvalho.csv index 7eaa5337..18e55445 100644 --- a/data/profs/search/Andre-Ponce-de-Leon-Carvalho.csv +++ b/data/profs/search/Andre-Ponce-de-Leon-Carvalho.csv @@ -22,7 +22,7 @@ 2022,Inf. Sciences,"Using meta-learning for multi-target regression.",Gabriel Jonas Aguiar; Everton José Santana; André C. P. L. F. de Carvalho; Sylvio Barbon Junior,https://doi.org/10.1016/j.ins.2021.11.003,null,J,no_arxiv,0 2021,Inf. Sciences,"Assessing the data complexity of imbalanced datasets.",Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho,https://doi.org/10.1016/j.ins.2020.12.006,null,J,no_arxiv,0 2021,Inf. Sciences,"Micro-MetaStream: Algorithm selection for time-changing data.",André Luis Debiaso Rossi; Carlos Soares; Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho,https://doi.org/10.1016/j.ins.2021.02.075,null,J,no_arxiv,0 -2020,JMLR,"MFE: Towards reproducible meta-feature extraction.",Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho,http://jmlr.org/papers/v21/19-348.html,top,J,no_arxiv,0 +2020,JMLR,"MFE: Towards reproducible meta-feature extraction.",Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho,https://jmlr.org/papers/v21/19-348.html,top,J,no_arxiv,0 2020,Machine Learning,"An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.",Adriano Rivolli; Jesse Read; Carlos Soares; Bernhard Pfahringer; André C. P. L. F. de Carvalho,https://doi.org/10.1007/s10994-020-05879-3,null,J,no_arxiv,0 2020,IEEE TKDE,"Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data.",Everlandio R. Q. Fernandes; André C. P. L. F. de Carvalho; Xin Yao 0001,https://doi.org/10.1109/TKDE.2019.2898861,top,J,no_arxiv,0 2019,Inf. Sciences,"A new data characterization for selecting clustering algorithms using meta-learning.",Bruno Almeida Pimentel; André C. P. L. F. de Carvalho,https://doi.org/10.1016/j.ins.2018.10.043,null,J,no_arxiv,0 diff --git a/data/profs/search/Anisio-Lacerda.csv b/data/profs/search/Anisio-Lacerda.csv index 319ccf0e..9f7f261c 100644 --- a/data/profs/search/Anisio-Lacerda.csv +++ b/data/profs/search/Anisio-Lacerda.csv @@ -1,3 +1,3 @@ -2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco A. Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 +2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco Aurélio Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 2021,Inf. Sciences,"Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems.",Reinaldo Silva Fortes; Daniel Xavier de Sousa; Dayanne Gouveia Coelho; Anísio Mendes Lacerda; Marcos André Gonçalves,https://doi.org/10.1016/j.ins.2021.05.037,null,J,no_arxiv,0 2019,Multimedia Tools Appl.,"Multimodal approach for tension levels estimation in news videos.",Moisés H. R. Pereira; Flávio L. C. Pádua; Daniel Hasan Dalip; Fabrício Benevenuto; Adriano C. M. Pereira; Anísio M. Lacerda,https://doi.org/10.1007/s11042-019-7691-4,null,J,no_arxiv,0 diff --git a/data/profs/search/Cesar-Lincoln-Mattos.csv b/data/profs/search/Cesar-Lincoln-Mattos.csv index 886ff1c3..c57675f9 100644 --- a/data/profs/search/Cesar-Lincoln-Mattos.csv +++ b/data/profs/search/Cesar-Lincoln-Mattos.csv @@ -3,5 +3,6 @@ 2021,AISTATS,"Learning GPLVM with arbitrary kernels using the unscented transformation.",Daniel Augusto de Souza; Diego P. P. Mesquita; João Paulo Pordeus Gomes; César Lincoln C. Mattos,http://proceedings.mlr.press/v130/souza21a.html,null,C,http://arxiv.org/abs/1907.01867v2,0 2020,IEEE Trans. Neural Netw. Learn. Syst.,"LS-SVR as a Bayesian RBF Network.",Diego P. P. Mesquita; Luis A. Freitas; João P. P. Gomes; César L. C. Mattos,https://doi.org/10.1109/TNNLS.2019.2952000,top,J,no_arxiv,0 2019,Neural Networks,"A stochastic variational framework for Recurrent Gaussian Processes models.",César Lincoln C. Mattos; Guilherme A. Barreto,https://doi.org/10.1016/j.neunet.2019.01.005,null,J,no_arxiv,0 +2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 2022,EMSE,"The role of bug report evolution in reliable fixing estimation.",Renan Gomes Vieira; César Lincoln C. Mattos; Lincoln S. Rocha; João Paulo Pordeus Gomes; Matheus Paixão,https://doi.org/10.1007/s10664-022-10213-7,null,J,no_arxiv,0 2022,ESEM,"Bayesian Analysis of Bug-Fixing Time using Report Data.",Renan Gomes Vieira; Diego Mesquita; César Lincoln C. Mattos; Ricardo Britto 0001; Lincoln S. Rocha; João Gomes 0002,https://doi.org/10.1145/3544902.3546256,null,C,no_arxiv,0 diff --git a/data/profs/search/Cristina-Meinhardt.csv b/data/profs/search/Cristina-Meinhardt.csv index 2b094812..c6ff2408 100644 --- a/data/profs/search/Cristina-Meinhardt.csv +++ b/data/profs/search/Cristina-Meinhardt.csv @@ -1,2 +1,2 @@ -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 2020,IEEE TCAS,"Multi-Level Design Influences on Robustness Evaluation of 7nm FinFET Technology.",Leonardo Heitich Brendler; Alexandra L. Zimpeck; Cristina Meinhardt; Ricardo Augusto da Luz Reis,https://doi.org/10.1109/TCSI.2019.2927374,top,J,no_arxiv,0 diff --git a/data/profs/search/Diego-Mesquita.csv b/data/profs/search/Diego-Mesquita.csv index 84b08ef1..a133df61 100644 --- a/data/profs/search/Diego-Mesquita.csv +++ b/data/profs/search/Diego-Mesquita.csv @@ -5,8 +5,8 @@ 2020,IEEE Trans. Neural Netw. Learn. Syst.,"LS-SVR as a Bayesian RBF Network.",Diego P. P. Mesquita; Luis A. Freitas; João P. P. Gomes; César L. C. Mattos,https://doi.org/10.1109/TNNLS.2019.2952000,top,J,no_arxiv,0 2019,Applied Soft Comput.,"Gaussian kernels for incomplete data.",Diego P. P. Mesquita; João P. P. Gomes; Francesco Corona; Amauri Holanda de Souza Júnior; Juvêncio S. Nobre,https://doi.org/10.1016/j.asoc.2019.01.022,null,J,no_arxiv,0 2019,UAI,"Embarrassingly Parallel MCMC using Deep Invertible Transformations.",Diego P. P. Mesquita; Paul Blomstedt; Samuel Kaski,http://proceedings.mlr.press/v115/mesquita20a.html,null,C,http://arxiv.org/abs/1903.04556v2,0 -2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César C. Lincoln Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 -2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas K. Garg,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 +2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 +2022,NIPS/NeurIPS,"Provably expressive temporal graph networks.",Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas Garg 0001,http://papers.nips.cc/paper_files/paper/2022/hash/d029c97ee0db162c60f2ebc9cb93387e-Abstract-Conference.html,top,C,http://arxiv.org/abs/2209.15059v1,0 2020,NIPS/NeurIPS,"Rethinking pooling in graph neural networks.",Diego P. P. Mesquita; Amauri H. Souza Jr.; Samuel Kaski,https://proceedings.neurips.cc/paper/2020/hash/1764183ef03fc7324eb58c3842bd9a57-Abstract.html,top,C,http://arxiv.org/abs/2010.11418v1,0 2024,EMSE,"Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop.",Antônio da Silva; Renan Gomes Vieira; Diego P. P. Mesquita; João Paulo Pordeus Gomes; Lincoln S. Rocha,https://doi.org/10.1007/s10664-024-10494-0,null,J,no_arxiv,0 2022,ESEM,"Bayesian Analysis of Bug-Fixing Time using Report Data.",Renan Gomes Vieira; Diego Mesquita; César Lincoln C. Mattos; Ricardo Britto 0001; Lincoln S. Rocha; João Gomes 0002,https://doi.org/10.1145/3544902.3546256,null,C,no_arxiv,0 diff --git a/data/profs/search/Diego-Silva.csv b/data/profs/search/Diego-Silva.csv index 5a52f529..f45f2ec4 100644 --- a/data/profs/search/Diego-Silva.csv +++ b/data/profs/search/Diego-Silva.csv @@ -1,4 +1,5 @@ 2022,Expert Systems Appl.,"Multimodal representation learning over heterogeneous networks for tag-based music retrieval.",Angelo Cesar Mendes da Silva; Diego Furtado Silva; Ricardo Marcondes Marcacini,https://doi.org/10.1016/j.eswa.2022.117969,null,J,no_arxiv,0 -2020,Data Min. Knowl. Discov.,"The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.",Yan Zhu 0014; Shaghayegh Gharghabi; Diego Furtado Silva; Hoang Anh Dau; Chin-Chia Michael Yeh; Nader Shakibay Senobari; Abdulaziz Almaslukh; Kaveh Kamgar; Zachary Zimmerman; Gareth J. Funning; Abdullah Mueen 0001; Eamonn J. Keogh,https://doi.org/10.1007/s10618-019-00668-6,null,J,no_arxiv,0 +2024,Data Min. Knowl. Discov.,"Unsupervised feature based algorithms for time series extrinsic regression.",David Guijo-Rubio; Matthew Middlehurst; Guilherme Arcencio; Diego Furtado Silva; Anthony J. Bagnall,https://doi.org/10.1007/s10618-024-01027-w,null,J,http://arxiv.org/abs/2305.01429v1,0 +2020,Data Min. Knowl. Discov.,"The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.",Yan Zhu 0014; Shaghayegh Gharghabi; Diego Furtado Silva; Hoang Anh Dau; Chin-Chia Michael Yeh; Nader Shakibay Senobari; Abdulaziz Almaslukh; Kaveh Kamgar; Zachary Zimmerman; Gareth J. Funning; Abdullah Mueen; Eamonn J. Keogh,https://doi.org/10.1007/s10618-019-00668-6,null,J,no_arxiv,0 2020,BigData,"On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining.",Yuri Gabriel Aragão da Silva; Diego Furtado Silva,https://doi.org/10.1109/BigData50022.2020.9377999,null,C,no_arxiv,0 2019,IEEE Trans. Multimedia,"Fast Similarity Matrix Profile for Music Analysis and Exploration.",Diego Furtado Silva; Chin-Chia Michael Yeh; Yan Zhu 0014; Gustavo E. A. P. A. Batista; Eamonn J. Keogh,https://doi.org/10.1109/TMM.2018.2849563,top,J,no_arxiv,0 diff --git a/data/profs/search/Fabio-Cozman.csv b/data/profs/search/Fabio-Cozman.csv index abe86180..5727dd35 100644 --- a/data/profs/search/Fabio-Cozman.csv +++ b/data/profs/search/Fabio-Cozman.csv @@ -6,4 +6,5 @@ 2020,Int. J. Approx. Reasoning,"Thirty years of credal networks: Specification, algorithms and complexity.",Denis Deratani Mauá; Fábio Gagliardi Cozman,https://doi.org/10.1016/j.ijar.2020.08.009,null,J,no_arxiv,0 2019,Int. J. Approx. Reasoning,"Speeding up parameter and rule learning for acyclic probabilistic logic programs.",Francisco H. O. V. de Faria; Arthur Colombini Gusmão; Glauber De Bona; Denis Deratani Mauá; Fábio Gagliardi Cozman,https://doi.org/10.1016/j.ijar.2018.12.012,null,J,no_arxiv,0 2019,Int. J. Approx. Reasoning,"The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws.",Fábio Gagliardi Cozman; Denis Deratani Mauá,https://doi.org/10.1016/j.ijar.2019.04.003,null,J,no_arxiv,0 +2023,NIPS/NeurIPS,"Credal Marginal MAP.",Radu Marinescu 0002; Debarun Bhattacharjya; Junkyu Lee 0001; Fábio Gagliardi Cozman; Alexander G. Gray,http://papers.nips.cc/paper_files/paper/2023/hash/953390c834451505703c9da45de634d8-Abstract-Conference.html,top,C,no_arxiv,0 2021,CIKM,"Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.",André F. A. Paschoal; Paulo Pirozelli; Valdinei Freire; Karina Valdivia Delgado; Sarajane M. Peres; Marcos Menon José; Flávio Nakasato Cação; André Seidel Oliveira; Anarosa A. F. Brandão; Anna H. R. Costa; Fábio Gagliardi Cozman,https://doi.org/10.1145/3459637.3482012,null,C,no_arxiv,0 diff --git a/data/profs/search/Fabio-Porto.csv b/data/profs/search/Fabio-Porto.csv index 6f2a81dc..5f449f7e 100644 --- a/data/profs/search/Fabio-Porto.csv +++ b/data/profs/search/Fabio-Porto.csv @@ -3,6 +3,7 @@ 2019,Knowledge-Based Syst.,"Nonstationary time series transformation methods: An experimental review.",Rebecca Salles; Kele T. Belloze; Fábio Porto 0001; Pedro H. Gonzalez; Eduardo S. Ogasawara,https://doi.org/10.1016/j.knosys.2018.10.041,null,J,no_arxiv,0 2020,Future Generation CS,"BioinfoPortal: A scientific gateway for integrating bioinformatics applications on the Brazilian national high-performance computing network.",Kary A. C. S. Ocaña; Marcelo Galheigo; Carla Osthoff; Luiz M. R. Gadelha Jr.; Fábio Porto 0001; Antônio Tadeu A. Gomes; Daniel de Oliveira 0001; Ana Tereza Ribeiro de Vasconcelos,https://doi.org/10.1016/j.future.2020.01.030,null,J,no_arxiv,0 2024,BMC Bioinformatics,"HIHISIV: a database of gene expression in HIV and SIV host immune response.",Raquel Lopes Costa; Luiz M. R. Gadelha Jr.; Mirela D'arc; Marcelo Ribeiro-Alves; David L. Robertson; Jean-Marc Schwartz; Marcelo A. Soares; Fábio Porto 0001,https://doi.org/10.1186/s12859-024-05740-7,null,J,no_arxiv,0 +2024,ICDE,"Discovering Denial Constraints in Dynamic Datasets.",Eduardo H. M. Pena; Fábio Porto 0001; Felix Naumann,https://doi.org/10.1109/ICDE60146.2024.00273,top,C,no_arxiv,0 2022,Proc. VLDB,"Fast Algorithms for Denial Constraint Discovery.",Eduardo H. M. Pena; Fábio Porto 0001; Felix Naumann,https://www.vldb.org/pvldb/vol16/p684-pena.pdf,top,J,no_arxiv,0 2021,Concurr. & Computation,"Towards optimizing the execution of spark scientific workflows using machine learning-based parameter tuning.",Douglas E. M. de Oliveira; Fábio Porto 0001; Cristina Boeres; Daniel de Oliveira 0001,https://doi.org/10.1002/cpe.5972,null,J,no_arxiv,0 2019,CCGrid,"Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing.",Kary Ann del Carmen Ocaña Gautherot; Marcelo Galheigo; Carla Osthoff; Luiz M. R. Gadelha Jr.; Antônio Tadeu A. Gomes; Daniel de Oliveira 0001; Fábio Porto 0001; Ana Tereza Ribeiro de Vasconcelos,https://doi.org/10.1109/CCGRID.2019.00082,null,C,no_arxiv,0 diff --git a/data/profs/search/George-Cavalcanti.csv b/data/profs/search/George-Cavalcanti.csv index b2b2b59a..c163367c 100644 --- a/data/profs/search/George-Cavalcanti.csv +++ b/data/profs/search/George-Cavalcanti.csv @@ -12,7 +12,7 @@ 2023,Inf. Sciences,"A hybrid system based on ensemble learning to model residuals for time series forecasting.",Domingos S. de O. Junior; Paulo S. G. de Mattos Neto; João F. L. de Oliveira; George D. C. Cavalcanti,https://doi.org/10.1016/j.ins.2023.119614,null,J,no_arxiv,0 2022,Inf. Fusion,"An investigation into the effects of label noise on Dynamic Selection algorithms.",Felipe N. Walmsley; George D. C. Cavalcanti; Robert Sabourin; Rafael M. O. Cruz,https://doi.org/10.1016/j.inffus.2021.10.015,null,J,no_arxiv,0 2021,Inf. Sciences,"MINE: A framework for dynamic regressor selection.",Thiago J. M. Moura; George D. C. Cavalcanti; Luiz S. Oliveira,https://doi.org/10.1016/j.ins.2020.07.056,null,J,no_arxiv,0 -2020,JMLR,"DESlib: A Dynamic ensemble selection library in Python.",Rafael M. O. Cruz; Luiz G. Hafemann; Robert Sabourin; George D. C. Cavalcanti,http://jmlr.org/papers/v21/18-144.html,top,J,http://arxiv.org/abs/1802.04967v3,0 +2020,JMLR,"DESlib: A Dynamic ensemble selection library in Python.",Rafael M. O. Cruz; Luiz G. Hafemann; Robert Sabourin; George D. C. Cavalcanti,https://jmlr.org/papers/v21/18-144.html,top,J,no_arxiv,0 2023,IEEE Trans. Computers,"Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation.",Walber M. Rodrigues; Felipe N. Walmsley; George D. C. Cavalcanti; Rafael M. O. Cruz,https://doi.org/10.1109/TC.2023.3291998,null,J,no_arxiv,0 2021,PRL,"Variational DNN embeddings for text-independent speaker verification.",Hector N. B. Pinheiro; Tsang Ing Ren; André Gustavo Adami; George D. C. Cavalcanti,https://doi.org/10.1016/j.patrec.2021.05.003,null,J,no_arxiv,0 2019,PR,"Online local pool generation for dynamic classifier selection.",Mariana de Araujo Souza; George D. C. Cavalcanti; Rafael M. O. Cruz; Robert Sabourin,https://doi.org/10.1016/j.patcog.2018.08.004,null,J,no_arxiv,0 diff --git a/data/profs/search/Giancarlo-Guizzardi.csv b/data/profs/search/Giancarlo-Guizzardi.csv index d13dc04b..22238b31 100644 --- a/data/profs/search/Giancarlo-Guizzardi.csv +++ b/data/profs/search/Giancarlo-Guizzardi.csv @@ -1,4 +1,6 @@ 2022,BMC Bioinformatics,"Semantic interoperability: ontological unpacking of a viral conceptual model.",Anna Bernasconi 0002; Giancarlo Guizzardi; Oscar Pastor 0001; Veda C. Storey,https://doi.org/10.1186/s12859-022-05022-0,null,J,no_arxiv,0 +2024,Data & Knowl. Eng.,"Explanation, semantics, and ontology.",Giancarlo Guizzardi; Nicola Guarino,https://doi.org/10.1016/j.datak.2024.102325,null,J,no_arxiv,0 +2024,Data & Knowl. Eng.,"Evaluating quality of ontology-driven conceptual models abstractions.",Elena Romanenko; Diego Calvanese; Giancarlo Guizzardi,https://doi.org/10.1016/j.datak.2024.102342,null,J,no_arxiv,0 2023,Data & Knowl. Eng.,"A FAIR catalog of ontology-driven conceptual models.",Tiago Prince Sales; Pedro Paulo F. Barcelos; Claudenir M. Fonseca; Isadora Valle Souza; Elena Romanenko; César Henrique Bernabé; Luiz Olavo Bonino da Silva Santos; Mattia Fumagalli; Joshua Kritz; João Paulo A. Almeida; Giancarlo Guizzardi,https://doi.org/10.1016/j.datak.2023.102210,null,J,no_arxiv,0 2023,Data & Knowl. Eng.,"Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns.",Cristine Griffo; João Paulo A. Almeida; João A. O. Lima; Tiago Prince Sales; Giancarlo Guizzardi,https://doi.org/10.1016/j.datak.2023.102219,null,J,no_arxiv,0 2023,Inf. Systems,"Assessing the value of ontologically unpacking a conceptual model for human genomics.",Alberto García S.; Anna Bernasconi 0002; Giancarlo Guizzardi; Oscar Pastor 0001; Veda C. Storey; José Ignacio Panach,https://doi.org/10.1016/j.is.2023.102242,null,J,no_arxiv,0 diff --git a/data/profs/search/Gisele-Pappa.csv b/data/profs/search/Gisele-Pappa.csv index 84bfab23..982934c0 100644 --- a/data/profs/search/Gisele-Pappa.csv +++ b/data/profs/search/Gisele-Pappa.csv @@ -2,6 +2,6 @@ 2022,GECCO,"Understanding AutoML search spaces with local optima networks.",Matheus Cândido Teixeira; Gisele L. Pappa,https://doi.org/10.1145/3512290.3528743,null,C,no_arxiv,0 2021,GECCO,"Fitness landscape analysis of graph neural network architecture search spaces.",Matheus Nunes; Paulo M. Fraga; Gisele L. Pappa,https://doi.org/10.1145/3449639.3459318,null,C,no_arxiv,0 2020,GECCO,"A robust experimental evaluation of automated multi-label classification methods.",Alex Guimarães Cardoso de Sá; Cristiano Guimarães Pimenta; Gisele Lobo Pappa; Alex Alves Freitas,https://doi.org/10.1145/3377930.3390231,null,C,no_arxiv,0 -2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco A. Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 +2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco Aurélio Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 2021,ACM TKDD,"An Instance Space Analysis of Regression Problems.",Mario Andrés Muñoz; Tao Yan; Matheus R. Leal; Kate Smith-Miles; Ana Carolina Lorena; Gisele L. Pappa; Rômulo Madureira Rodrigues,https://doi.org/10.1145/3436893,top,J,no_arxiv,0 2022,EJOR,"Metaheuristics In the Large.",Jerry Swan; Steven Adriænsen; Alexander E. I. Brownlee; Kevin Hammond; Colin G. Johnson; Ahmed Kheiri; Faustyna Krawiec; Juan Julián Merelo; Leandro L. Minku; Ender Özcan; Gisele L. Pappa; Pablo García-Sánchez; Kenneth Sörensen; Stefan Voß 0001; Markus Wagner 0007; David R. White 0003,https://doi.org/10.1016/j.ejor.2021.05.042,null,J,http://arxiv.org/abs/2011.09821v4,0 diff --git a/data/profs/search/Jacques-Wainer.csv b/data/profs/search/Jacques-Wainer.csv index 74cddced..63263822 100644 --- a/data/profs/search/Jacques-Wainer.csv +++ b/data/profs/search/Jacques-Wainer.csv @@ -1 +1,2 @@ 2021,Expert Systems Appl.,"Nested cross-validation when selecting classifiers is overzealous for most practical applications.",Jacques Wainer; Gavin C. Cawley,https://doi.org/10.1016/j.eswa.2021.115222,null,J,no_arxiv,0 +2023,JMLR,"A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets.",Jacques Wainer,http://jmlr.org/papers/v24/22-0907.html,top,J,no_arxiv,0 diff --git a/data/profs/search/Joao-Paulo-Pordeus-Gomes.csv b/data/profs/search/Joao-Paulo-Pordeus-Gomes.csv index f142a8d2..b3ac04d6 100644 --- a/data/profs/search/Joao-Paulo-Pordeus-Gomes.csv +++ b/data/profs/search/Joao-Paulo-Pordeus-Gomes.csv @@ -5,7 +5,7 @@ 2020,Neurocomputing,"A new perspective for Minimal Learning Machines: A lightweight approach.",José A. V. Florêncio; Saulo A. F. Oliveira; João P. P. Gomes; Ajalmar R. da Rocha Neto,https://doi.org/10.1016/j.neucom.2020.03.088,null,J,no_arxiv,0 2020,IEEE Trans. Neural Netw. Learn. Syst.,"LS-SVR as a Bayesian RBF Network.",Diego P. P. Mesquita; Luis A. Freitas; João P. P. Gomes; César L. C. Mattos,https://doi.org/10.1109/TNNLS.2019.2952000,top,J,no_arxiv,0 2019,Applied Soft Comput.,"Gaussian kernels for incomplete data.",Diego P. P. Mesquita; João P. P. Gomes; Francesco Corona; Amauri Holanda de Souza Júnior; Juvêncio S. Nobre,https://doi.org/10.1016/j.asoc.2019.01.022,null,J,no_arxiv,0 -2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César C. Lincoln Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 +2023,NIPS/NeurIPS,"Thin and deep Gaussian processes.",Daniel Augusto de Souza; Alexander Nikitin; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos,http://papers.nips.cc/paper_files/paper/2023/hash/2aa212d6f40c1cb19b777e83db00ec6a-Abstract-Conference.html,top,C,http://arxiv.org/abs/2310.11527v1,0 2021,IEEE Trans. Computers,"Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models.",Fernando Dione S. Lima; Francisco Lucas Falcao Pereira; Iago C. Chaves; Javam C. Machado; João Paulo Pordeus Gomes,https://doi.org/10.1109/TC.2020.2987018,null,J,no_arxiv,0 2024,EMSE,"Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop.",Antônio da Silva; Renan Gomes Vieira; Diego P. P. Mesquita; João Paulo Pordeus Gomes; Lincoln S. Rocha,https://doi.org/10.1007/s10664-024-10494-0,null,J,no_arxiv,0 2022,EMSE,"The role of bug report evolution in reliable fixing estimation.",Renan Gomes Vieira; César Lincoln C. Mattos; Lincoln S. Rocha; João Paulo Pordeus Gomes; Matheus Paixão,https://doi.org/10.1007/s10664-022-10213-7,null,J,no_arxiv,0 diff --git a/data/profs/search/Karina-Valdivia-Delgado.csv b/data/profs/search/Karina-Valdivia-Delgado.csv index a8cc9e52..45d61c89 100644 --- a/data/profs/search/Karina-Valdivia-Delgado.csv +++ b/data/profs/search/Karina-Valdivia-Delgado.csv @@ -1,4 +1,5 @@ 2023,Artificial Intelligence,"GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory.",Gabriel Nunes Crispino; Valdinei Freire; Karina Valdivia Delgado,https://doi.org/10.1016/j.artint.2022.103848,null,J,no_arxiv,0 2021,Int. J. Approx. Reasoning,"Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget.",Daniel Augusto de Melo Moreira; Karina Valdivia Delgado; Leliane Nunes de Barros; Denis Deratani Mauá,https://doi.org/10.1016/j.ijar.2021.09.003,null,J,no_arxiv,0 2019,Int. J. Approx. Reasoning,"Robust topological policy iteration for infinite horizon bounded Markov Decision Processes.",Willy Arthur Silva Reis; Leliane Nunes de Barros; Karina Valdivia Delgado,https://doi.org/10.1016/j.ijar.2018.12.004,null,J,no_arxiv,0 +2024,ACM TKDD,"Imbalance-Robust Multi-Label Self-Adjusting kNN.",Victor Gomes De Oliveira Martins Nicola; Karina Valdivia Delgado; Marcelo de Souza Lauretto,https://doi.org/10.1145/3663575,top,J,no_arxiv,0 2021,CIKM,"Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean.",André F. A. Paschoal; Paulo Pirozelli; Valdinei Freire; Karina Valdivia Delgado; Sarajane M. Peres; Marcos Menon José; Flávio Nakasato Cação; André Seidel Oliveira; Anarosa A. F. Brandão; Anna H. R. Costa; Fábio Gagliardi Cozman,https://doi.org/10.1145/3459637.3482012,null,C,no_arxiv,0 diff --git a/data/profs/search/Luigi-Carro.csv b/data/profs/search/Luigi-Carro.csv index 95b1575b..940b6718 100644 --- a/data/profs/search/Luigi-Carro.csv +++ b/data/profs/search/Luigi-Carro.csv @@ -4,7 +4,7 @@ 2021,PDP,"Machine Learning Migration for Efficient Near-Data Processing.",Aline S. Cordeiro; Sairo R. dos Santos; Francis B. Moreira 0001; Paulo C. Santos 0001; Luigi Carro; Marco A. Z. Alves,https://doi.org/10.1109/PDP52278.2021.00041,null,C,no_arxiv,0 2019,ACM TECS,"Aggressive Energy Reduction for Video Inference with Software-only Strategies.",Larissa Rozales Gonçalves; Rafael Fão de Moura; Luigi Carro,https://doi.org/10.1145/3358174,top,J,no_arxiv,0 2021,DSN,"Revealing GPUs Vulnerabilities by Combining Register-Transfer and Software-Level Fault Injection.",Fernando Fernandes dos Santos; Josie E. Rodriguez Condia; Luigi Carro; Matteo Sonza Reorda; Paolo Rech,https://doi.org/10.1109/DSN48987.2021.00042,null,C,no_arxiv,0 -2024,DATE,"Full-Stack Optimization for CAM-Only DNN Inference.",João Paulo C. de Lima; Asif Ali Khan; Luigi Carro; Jerónimo Castrillón,https://ieeexplore.ieee.org/document/10546805,null,C,no_arxiv,0 +2024,DATE,"Full-Stack Optimization for CAM-Only DNN Inference.",João Paulo C. de Lima; Asif Ali Khan; Luigi Carro; Jerónimo Castrillón,https://doi.org/10.23919/DATE58400.2024.10546805,null,C,no_arxiv,0 2022,IEEE Trans. Computers,"Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures.",Fernando Fernandes dos Santos; Marcelo Brandalero; Michael B. Sullivan 0001; Pedro Martins Basso; Michael Hübner 0001; Luigi Carro; Paolo Rech,https://doi.org/10.1109/TC.2021.3058872,null,J,no_arxiv,0 2022,DATE,"Quantization-Aware In-situ Training for Reliable and Accurate Edge AI.",João Paulo C. de Lima; Luigi Carro,https://doi.org/10.23919/DATE54114.2022.9774657,null,C,no_arxiv,0 2021,IEEE Trans. Computers,"Multi-Target Adaptive Reconfigurable Acceleration for Low-Power IoT Processing.",Marcelo Brandalero; Luigi Carro; Antonio Carlos Schneider Beck; Muhammad Shafique 0001,https://doi.org/10.1109/TC.2020.2984736,null,J,no_arxiv,0 diff --git a/data/profs/search/Luis-Gustavo-Nonato.csv b/data/profs/search/Luis-Gustavo-Nonato.csv index e74b68a4..a1f4e59d 100644 --- a/data/profs/search/Luis-Gustavo-Nonato.csv +++ b/data/profs/search/Luis-Gustavo-Nonato.csv @@ -1,3 +1,4 @@ +2024,Data Min. Knowl. Discov.,"Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm.",Marcos M. Raimundo; Luis Gustavo Nonato; Jorge Poco,https://doi.org/10.1007/s10618-022-00906-4,null,J,no_arxiv,0 2023,IEEE TVCG,"Calibrate: Interactive Analysis of Probabilistic Model Output.",Peter Xenopoulos; João Rulff; Luis Gustavo Nonato; Brian Barr; Cláudio T. Silva,https://doi.org/10.1109/TVCG.2022.3209489,top,J,http://arxiv.org/abs/2207.13770v1,0 2023,IEEE TVCG,"LegalVis: Exploring and Inferring Precedent Citations in Legal Documents.",Lucas E. Resck; Jean R. Ponciano; Luis Gustavo Nonato; Jorge Poco,https://doi.org/10.1109/TVCG.2022.3152450,top,J,http://arxiv.org/abs/2203.02001v1,0 2022,Computers & Graphics,"Exploring scientific literature by textual and image content using DRIFT.",Ximena Pocco; Tiago da Silva; Jorge Poco; Luis Gustavo Nonato; Erick Gomez Nieto,https://doi.org/10.1016/j.cag.2022.02.005,null,J,no_arxiv,0 diff --git a/data/profs/search/Marcos-Bueno.csv b/data/profs/search/Marcos-Bueno.csv index 12e43843..13f32203 100644 --- a/data/profs/search/Marcos-Bueno.csv +++ b/data/profs/search/Marcos-Bueno.csv @@ -1 +1,2 @@ +2024,JMLR,"AMLB: an AutoML Benchmark.",Pieter Gijsbers; Marcos L. P. Bueno; Stefan Coors; Erin LeDell; Sébastien Poirier; Janek Thomas; Bernd Bischl; Joaquin Vanschoren,https://jmlr.org/papers/v25/22-0493.html,top,J,http://arxiv.org/abs/2207.12560v2,0 2022,Data Min. Knowl. Discov.,"Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions.",Rianne Margaretha Schouten; Marcos L. P. Bueno; Wouter Duivesteijn; Mykola Pechenizkiy,https://doi.org/10.1007/s10618-021-00808-x,null,J,no_arxiv,0 diff --git a/data/profs/search/Marcos-Medeiros-Raimundo.csv b/data/profs/search/Marcos-Medeiros-Raimundo.csv index 2e2e2271..0a855761 100644 --- a/data/profs/search/Marcos-Medeiros-Raimundo.csv +++ b/data/profs/search/Marcos-Medeiros-Raimundo.csv @@ -1,4 +1,5 @@ 2021,Neurocomputing,"Exploring multiobjective training in multiclass classification.",Marcos M. Raimundo; Thalita F. Drumond; Alan Caio R. Marques; Christiano Lyra; Anderson Rocha 0001; Fernando J. Von Zuben,https://doi.org/10.1016/j.neucom.2020.12.087,null,J,no_arxiv,0 +2024,Data Min. Knowl. Discov.,"Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm.",Marcos M. Raimundo; Luis Gustavo Nonato; Jorge Poco,https://doi.org/10.1007/s10618-022-00906-4,null,J,no_arxiv,0 2023,Data Min. Knowl. Discov.,"Enforcing fairness using ensemble of diverse Pareto-optimal models.",Vitória Guardieiro; Marcos M. Raimundo; Jorge Poco,https://doi.org/10.1007/s10618-023-00922-y,null,J,no_arxiv,0 2022,IEEE TVCG,"CriPAV: Street-Level Crime Patterns Analysis and Visualization.",Germain Garcia Zanabria; Marcos M. Raimundo; Jorge Poco; Marcelo Batista Nery; Cláudio T. Silva; Sergio Adorno; Luis Gustavo Nonato,https://doi.org/10.1109/TVCG.2021.3111146,top,J,no_arxiv,0 2020,EJOR,"An extension of the non-inferior set estimation algorithm for many objectives.",Marcos M. Raimundo; Paulo A. V. Ferreira; Fernando J. Von Zuben,https://doi.org/10.1016/j.ejor.2019.11.017,null,J,no_arxiv,0 diff --git a/data/profs/search/Marilton-Aguiar.csv b/data/profs/search/Marilton-Aguiar.csv index 8c98481f..6c09426f 100644 --- a/data/profs/search/Marilton-Aguiar.csv +++ b/data/profs/search/Marilton-Aguiar.csv @@ -1,2 +1,2 @@ 2021,IEEE BIBM,"A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5.",Carlos Santos 0007; Marilton S. de Aguiar; Daniel Welfer; Bruno Belloni,https://doi.org/10.1109/BIBM52615.2021.9669581,null,C,no_arxiv,0 -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 diff --git a/data/profs/search/Mateus-Grellert.csv b/data/profs/search/Mateus-Grellert.csv index 007ba079..1bc7f212 100644 --- a/data/profs/search/Mateus-Grellert.csv +++ b/data/profs/search/Mateus-Grellert.csv @@ -1,5 +1,5 @@ 2022,Engineering Appl. of AI,"A framework for designing power-efficient inference accelerators in tree-based learning applications.",Brunno Abreu; Mateus Grellert; Sergio Bampi,https://doi.org/10.1016/j.engappai.2021.104638,null,J,no_arxiv,0 2022,IEEE TCAS,"C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators.",Brunno Alves Abreu; Guilherme Paim; Mateus Grellert; Sergio Bampi,https://doi.org/10.1109/TCSI.2022.3169028,top,J,no_arxiv,0 -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 2019,IEEE TCAS,"Quality and Energy-Aware HEVC Transrating Based on Machine Learning.",Thiago Luiz Alves Bubolz; Ruhan A. Conceição; Mateus Grellert; Luciano Agostini; Bruno Zatt; Guilherme Corrêa 0001,https://doi.org/10.1109/TCSI.2019.2903978,top,J,no_arxiv,0 2019,IEEE TCSVT,"Fast Coding Unit Partition Decision for HEVC Using Support Vector Machines.",Mateus Grellert; Bruno Zatt; Sergio Bampi; Luís Alberto da Silva Cruz,https://doi.org/10.1109/TCSVT.2018.2849941,null,J,no_arxiv,0 diff --git a/data/profs/search/Mirella-Moro.csv b/data/profs/search/Mirella-Moro.csv index dfbaee23..f8da45ad 100644 --- a/data/profs/search/Mirella-Moro.csv +++ b/data/profs/search/Mirella-Moro.csv @@ -1,4 +1,5 @@ 2019,BigData,"Understanding Spatio-Temporal Urban Processes.",Lais M. A. Rocha; Aline Bessa; Fernando Chirigati; Eugene OFriel; Mirella M. Moro; Juliana Freire,https://doi.org/10.1109/BigData47090.2019.9006289,null,C,no_arxiv,0 2020,Data & Knowl. Eng.,"An analysis of the collaboration network of the International Conference on Conceptual Modeling at the Age of 40.",Lucas Henrique C. Lima; Alberto H. F. Laender; Mirella M. Moro; José Palazzo M. de Oliveira,https://doi.org/10.1016/j.datak.2020.101866,null,J,no_arxiv,0 +2024,Inf. Process. Mgmt.,"From words to gender: Quantitative analysis of body part descriptions within literature in Portuguese.",Mariana O. Silva; Luiza de Melo-Gomes; Mirella M. Moro,https://doi.org/10.1016/j.ipm.2024.103647,null,J,no_arxiv,0 2024,WebSci,"What makes a viral song? Unraveling music virality factors.",Gabriel P. Oliveira; Ana Paula Couto da Silva; Mirella M. Moro,https://doi.org/10.1145/3614419.3644011,null,C,no_arxiv,0 2023,SQJ,"How do developers collaborate? Investigating GitHub heterogeneous networks.",Gabriel P. Oliveira; Ana Flávia C. Moura; Natércia A. Batista; Michele A. Brandão; André C. Hora; Mirella M. Moro,https://doi.org/10.1007/s11219-022-09598-x,null,J,no_arxiv,0 diff --git a/data/profs/search/Paulo-Butzen.csv b/data/profs/search/Paulo-Butzen.csv index ae256d04..4268feb1 100644 --- a/data/profs/search/Paulo-Butzen.csv +++ b/data/profs/search/Paulo-Butzen.csv @@ -1,4 +1,4 @@ 2022,JETCAS,"A Predictive Approach for Conditional Execution of Memristive Material Implication Stateful Logic Operations.",Cesar de S. Dias; Felipe S. Marranghello; Raphael Martins Brum; Paulo F. Butzen,https://doi.org/10.1109/JETCAS.2022.3221053,null,J,no_arxiv,0 2022,IEEE TCAD,"A Two-Level Approximate Logic Synthesis Combining Cube Insertion and Removal.",Gabriel Ammes; Walter Lau Neto; Paulo F. Butzen; Pierre-Emmanuel Gaillardon; Renato P. Ribas,https://doi.org/10.1109/TCAD.2022.3143489,null,J,no_arxiv,0 -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 2020,ICCAD,"Contributions to OpenROAD from Abroad: Experiences and Learnings : Invited Paper.",Mateus Fogaça; Eder Monteiro; Marcelo Danigno; Isadora Oliveira; Paulo F. Butzen; Ricardo Reis 0001,https://doi.org/10.1145/3400302.3415737,top,C,no_arxiv,0 diff --git a/data/profs/search/Renato-Assuncao.csv b/data/profs/search/Renato-Assuncao.csv index 5fa1cf9c..84594c7f 100644 --- a/data/profs/search/Renato-Assuncao.csv +++ b/data/profs/search/Renato-Assuncao.csv @@ -1,7 +1,7 @@ 2022,AAAI,"Top-Down Deep Clustering with Multi-Generator GANs.",Daniel P. M. de Mello; Renato M. Assunção; Fabricio Murai,https://doi.org/10.1609/aaai.v36i7.20745,top,C,no_arxiv,0 2023,SDM,"Fisher Scoring Method for Neural Networks Optimization.",Jackson de Faria; Renato Assunção; Fabricio Murai,https://doi.org/10.1137/1.9781611977653.ch84,null,C,no_arxiv,0 2020,ECML/PKDD,"Networked Point Process Models Under the Lens of Scrutiny.",Guilherme R. Borges; Flavio V. D. de Figueiredo; Renato M. Assunção; Pedro O. S. Vaz de Melo,https://doi.org/10.1007/978-3-030-67658-2_12,null,C,no_arxiv,0 -2019,JMLR,"Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees.",Leonardo Vilela Teixeira; Renato M. Assunção; Rosangela Helena Loschi,http://jmlr.org/papers/v20/16-615.html,top,J,no_arxiv,0 +2019,JMLR,"Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees.",Leonardo Vilela Teixeira; Renato M. Assunção; Rosangela Helena Loschi,https://jmlr.org/papers/v20/16-615.html,top,J,no_arxiv,0 2019,ACM TKDD,"In Search of a Stochastic Model for the E-News Reader.",Bráulio Miranda Veloso; Renato M. Assunção; Anderson A. Ferreira; Nivio Ziviani,https://doi.org/10.1145/3362695,top,J,no_arxiv,0 2020,ACM TOMM,"Random Playlists Smoothly Commuting Between Styles.",Marcos A. de Almeida; Carolina Coimbra Vieira; Pedro Olmo Stancioli Vaz de Melo; Renato Martins Assunção,https://doi.org/10.1145/3361742,top,J,no_arxiv,0 2024,WWW,"Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.",Rodrigo Alves; Antoine Ledent; Renato Assunção; Pedro O. S. Vaz de Melo; Marius Kloft,https://doi.org/10.1145/3589334.3645473,top,C,no_arxiv,0 diff --git a/data/profs/search/Roberto-Imbuzeiro-Oliveira.csv b/data/profs/search/Roberto-Imbuzeiro-Oliveira.csv index 3216a67c..f5b196c0 100644 --- a/data/profs/search/Roberto-Imbuzeiro-Oliveira.csv +++ b/data/profs/search/Roberto-Imbuzeiro-Oliveira.csv @@ -1,5 +1,6 @@ 2023,AAAI,"AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification.",Daniel Csillag; Lucas Monteiro Paes; Thiago Ramos; João Vitor Romano; Rodrigo Schuller; Roberto de Beauclair Seixas; Roberto I. Oliveira 0001; Paulo Orenstein,https://doi.org/10.1609/aaai.v37i13.26837,top,C,no_arxiv,0 2022,AISTATS,"ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics.",Daniel Csillag; Carolina Piazza; Thiago Ramos; João Vitor Romano; Roberto I. Oliveira 0001; Paulo Orenstein,https://proceedings.mlr.press/v151/csillag22a.html,null,C,no_arxiv,0 +2024,JMLR,"Split Conformal Prediction and Non-Exchangeable Data.",Roberto I. Oliveira 0001; Paulo Orenstein; Thiago Ramos; João Vitor Romano,https://jmlr.org/papers/v25/23-1553.html,top,J,no_arxiv,0 2023,Math Program,"Sample average approximation with heavier tails I: non-asymptotic bounds with weak assumptions and stochastic constraints.",Roberto I. Oliveira 0001; Philip Thompson,https://doi.org/10.1007/s10107-022-01810-x,null,J,no_arxiv,0 2023,Math Program,"Sample average approximation with heavier tails II: localization in stochastic convex optimization and persistence results for the Lasso.",Roberto I. Oliveira 0001; Philip Thompson,https://doi.org/10.1007/s10107-023-01940-w,null,J,http://arxiv.org/abs/1711.04734v4,0 2019,SIAM J Opt,"Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities.",Alfredo N. Iusem; Alejandro Jofré; Roberto I. Oliveira 0001; Philip Thompson,https://doi.org/10.1137/17M1144799,null,J,no_arxiv,0 diff --git a/data/profs/search/Robson-Cordeiro.csv b/data/profs/search/Robson-Cordeiro.csv index 6549d93a..095b224b 100644 --- a/data/profs/search/Robson-Cordeiro.csv +++ b/data/profs/search/Robson-Cordeiro.csv @@ -1,5 +1,6 @@ 2022,Knowledge-Based Syst.,"How to take advantage of behavioral features for the early detection of grooming in online conversations.",Daniela F. Milon-Flores; Robson L. F. Cordeiro,https://doi.org/10.1016/j.knosys.2021.108017,null,J,no_arxiv,0 2021,Knowledge-Based Syst.,"Effective and unburdensome forecast of highway traffic flow with adaptive computing.",Matheus A. C. Alves; Robson L. F. Cordeiro,https://doi.org/10.1016/j.knosys.2020.106603,null,J,no_arxiv,0 2020,Knowledge-Based Syst.,"Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?",Jadson José Monteiro Oliveira; Robson Leonardo Ferreira Cordeiro,https://doi.org/10.1016/j.knosys.2020.105777,null,J,no_arxiv,0 +2024,ICDE,"Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets.",Braulio Valentin Sanchez Vinces; Robson L. F. Cordeiro; Christos Faloutsos,https://doi.org/10.1109/ICDE60146.2024.00116,top,C,http://arxiv.org/abs/2403.08027v1,0 2019,Inf. Systems,"The similarity-aware relational division database operator with case studies in agriculture and genetics.",André S. Gonzaga; Robson L. F. Cordeiro,https://doi.org/10.1016/j.is.2019.01.002,null,J,no_arxiv,0 2020,CIKM,"Fast and Scalable Outlier Detection with Sorted Hypercubes.",Eugênio F. Cabral; Robson L. F. Cordeiro,https://doi.org/10.1145/3340531.3412033,null,C,no_arxiv,0 diff --git a/data/profs/search/Rodrigo-Mello.csv b/data/profs/search/Rodrigo-Mello.csv index 777a8daa..1e8639ae 100644 --- a/data/profs/search/Rodrigo-Mello.csv +++ b/data/profs/search/Rodrigo-Mello.csv @@ -5,5 +5,5 @@ 2019,Expert Systems Appl.,"On learning guarantees to unsupervised concept drift detection on data streams.",Rodrigo Fernandes de Mello; Yule Vaz; Carlos Henrique Grossi Ferreira; Albert Bifet,https://doi.org/10.1016/j.eswa.2018.08.054,null,J,no_arxiv,0 2019,Expert Systems Appl.,"Measuring the Shattering coefficient of Decision Tree models.",Rodrigo Fernandes de Mello; Chaitanya Manapragada; Albert Bifet,https://doi.org/10.1016/j.eswa.2019.07.012,null,J,no_arxiv,0 2023,ACM Comput. Surveys,"A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.",Heitor Murilo Gomes; Maciej Grzenda; Rodrigo Fernandes de Mello; Jesse Read; Minh-Huong Le Nguyen; Albert Bifet,https://doi.org/10.1145/3523055,null,J,no_arxiv,0 -2022,Inf. Sciences,"Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.",Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram,https://doi.org/10.1016/j.ins.2022.05.100,null,J,no_arxiv,0 +2022,Inf. Sciences,"Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.",Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram 0002,https://doi.org/10.1016/j.ins.2022.05.100,null,J,no_arxiv,0 2019,BigData,"Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.",Heitor Murilo Gomes; Rodrigo Fernandes de Mello; Bernhard Pfahringer; Albert Bifet,https://doi.org/10.1109/BigData47090.2019.9006366,null,C,no_arxiv,0 diff --git a/data/profs/search/Ronaldo-dos-Santos-Mello.csv b/data/profs/search/Ronaldo-dos-Santos-Mello.csv index 1be68ac9..154cda19 100644 --- a/data/profs/search/Ronaldo-dos-Santos-Mello.csv +++ b/data/profs/search/Ronaldo-dos-Santos-Mello.csv @@ -1,4 +1,5 @@ 2022,IEEE TKDE,"Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture.",Luiz Henrique Zambom Santana; Ronaldo dos Santos Mello,https://doi.org/10.1109/TKDE.2020.2994521,top,J,no_arxiv,0 +2024,GeoInformatica,"A survey on the computation of representative trajectories.",Vanessa Lago Machado; Ronaldo dos Santos Mello; Vania Bogorny; Geomar André Schreiner,https://doi.org/10.1007/s10707-024-00514-y,null,J,no_arxiv,0 2021,ER,"Dependency Rule Modeling for Multiple Aspects Trajectories.",Ronaldo dos Santos Mello; Geomar André Schreiner; Cristian Alexandre Alchini; Gustavo Gonçalves dos Santos; Vania Bogorny; Chiara Renso,https://doi.org/10.1007/978-3-030-89022-3_11,null,C,no_arxiv,0 2020,GeoInformatica,"JS4Geo: a canonical JSON Schema for geographic data suitable to NoSQL databases.",Angelo Augusto Frozza; Ronaldo dos Santos Mello,https://doi.org/10.1007/s10707-020-00415-w,null,J,no_arxiv,0 2019,Trans. GIS,"MASTER: A multiple aspect view on trajectories.",Ronaldo dos Santos Mello; Vania Bogorny; Luis Otávio Alvares; Luiz Henrique Zambom Santana; Carlos Andres Ferrero; Angelo Augusto Frozza; Geomar André Schreiner; Chiara Renso,https://doi.org/10.1111/tgis.12526,null,J,no_arxiv,0 diff --git a/data/profs/search/Sergio-Bampi.csv b/data/profs/search/Sergio-Bampi.csv index 4af42757..137c4ffb 100644 --- a/data/profs/search/Sergio-Bampi.csv +++ b/data/profs/search/Sergio-Bampi.csv @@ -11,7 +11,7 @@ 2021,IEEE TCAS,"On the Resiliency of NCFET Circuits Against Voltage Over-Scaling.",Guilherme Paim; Georgios Zervakis 0001; Girish Pahwa; Yogesh Singh Chauhan; Eduardo Antonio Cesar da Costa; Sergio Bampi; Jörg Henkel; Hussam Amrouch,https://doi.org/10.1109/TCSI.2021.3058451,top,J,no_arxiv,0 2021,IEEE TCAS,"Approximate Pruned and Truncated Haar Discrete Wavelet Transform VLSI Hardware for Energy-Efficient ECG Signal Processing.",Henrique Seidel; Morgana Macedo Azevedo da Rosa; Guilherme Paim; Eduardo Antônio César da Costa; Sérgio J. M. de Almeida; Sergio Bampi,https://doi.org/10.1109/TCSI.2021.3057584,top,J,no_arxiv,0 2021,IEEE TVLSI,"Architectural Exploration for Energy-Efficient Fixed-Point Kalman Filter VLSI Design.",Pedro Tauã Lopes Pereira; Guilherme Paim; Patrícia Ücker Leleu da Costa; Eduardo Antônio César da Costa; Sérgio Jose Melo de Almeida; Sergio Bampi,https://doi.org/10.1109/TVLSI.2021.3075379,null,J,no_arxiv,0 -2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 +2021,DATE,"Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.",Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; Po-Chun Chien; Yu-Shan Huang; Hoa-Ren Wang; Jie-Hong R. Jiang; Jiaqi Gu 0002; Zheng Zhao 0003; Zixuan Jiang; David Z. Pan; Brunno A. Abreu; Isac de Souza Campos; Augusto Andre Souza Berndt; Cristina Meinhardt; Jônata Tyska Carvalho; Mateus Grellert; Sergio Bampi; Aditya Lohana; Akash Kumar 0001; Wei Zeng 0015; Azadeh Davoodi; Rasit Onur Topaloglu; Yuan Zhou; Jordan Dotzel; Yichi Zhang 0006; Hanyu Wang 0005; Zhiru Zhang; Valerio Tenace; Pierre-Emmanuel Gaillardon; Alan Mishchenko; Satrajit Chatterjee,https://doi.org/10.23919/DATE51398.2021.9473972,null,C,http://arxiv.org/abs/2012.02530v2,0 2020,IEEE TCAS,"Residual Syntax Elements Analysis and Design Targeting High-Throughput HEVC CABAC.",Fábio Luís Livi Ramos; Alessandro Via Piana Saggiorato; Bruno Zatt; Marcelo Schiavon Porto; Sergio Bampi,https://doi.org/10.1109/TCSI.2019.2932891,top,J,no_arxiv,0 2019,IEEE TCAS,"Power-, Area-, and Compression-Efficient Eight-Point Approximate 2-D Discrete Tchebichef Transform Hardware Design Combining Truncation Pruning and Efficient Transposition Buffers.",Guilherme Paim; Leandro Mateus Giacomini Rocha; Gustavo Madeira Santana; Leonardo Bandeira Soares; Eduardo Antonio Cesar da Costa; Sergio Bampi,https://doi.org/10.1109/TCSI.2018.2868513,top,J,no_arxiv,0 2019,IEEE TCAS,"Design Methodology to Explore Hybrid Approximate Adders for Energy-Efficient Image and Video Processing Accelerators.",Leonardo Bandeira Soares; Morgana Macedo Azevedo da Rosa; Cláudio Machado Diniz; Eduardo Antonio Cesar da Costa; Sergio Bampi,https://doi.org/10.1109/TCSI.2019.2892588,top,J,no_arxiv,0 diff --git a/data/profs/search/Sylvio-Barbon-Junior.csv b/data/profs/search/Sylvio-Barbon-Junior.csv index 36576fb4..c0643860 100644 --- a/data/profs/search/Sylvio-Barbon-Junior.csv +++ b/data/profs/search/Sylvio-Barbon-Junior.csv @@ -5,6 +5,7 @@ 2020,Applied Soft Comput.,"DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.",Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon Jr.,https://doi.org/10.1016/j.asoc.2020.106215,null,J,no_arxiv,0 2024,Data Min. Knowl. Discov.,"Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.",Rafael Gomes Mantovani; Tomás Horváth; André L. D. Rossi; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André C. P. L. F. de Carvalho,https://doi.org/10.1007/s10618-024-01002-5,null,J,http://arxiv.org/abs/1812.02207v3,0 2022,Inf. Sciences,"Using meta-learning for multi-target regression.",Gabriel Jonas Aguiar; Everton José Santana; André C. P. L. F. de Carvalho; Sylvio Barbon Junior,https://doi.org/10.1016/j.ins.2021.11.003,null,J,no_arxiv,0 +2024,BPM,"CoSMo: A Framework to Instantiate Conditioned Process Simulation Models.",Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo,https://doi.org/10.1007/978-3-031-70396-6_19,null,C,http://arxiv.org/abs/2303.17879v4,0 2024,CAiSE,"Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.",Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo,https://doi.org/10.1007/978-3-031-61057-8_5,null,C,no_arxiv,0 2023,Inf. Systems,"A meta-learning configuration framework for graph-based similarity search indexes.",Rafael Seidi Oyamada; Larissa Capobianco Shimomura; Sylvio Barbon Jr.; Daniel S. Kaster,https://doi.org/10.1016/j.is.2022.102123,null,J,no_arxiv,0 2022,Multimedia Tools Appl.,"Sport action mining: Dribbling recognition in soccer.",Sylvio Barbon Junior; Allan Pinto; João Vitor Barroso; Fabio Giuliano Caetano; Felipe Arruda Moura; Sergio Augusto Cunha; Ricardo da Silva Torres,https://doi.org/10.1007/s11042-021-11784-1,null,J,no_arxiv,0 diff --git a/data/profs/search/Vania-Bogorny.csv b/data/profs/search/Vania-Bogorny.csv index c87d4f2e..a7467b43 100644 --- a/data/profs/search/Vania-Bogorny.csv +++ b/data/profs/search/Vania-Bogorny.csv @@ -1,4 +1,5 @@ 2020,Data Min. Knowl. Discov.,"MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification.",Carlos Andres Ferrero; Lucas May Petry; Luis Otávio Alvares; Camila Leite da Silva; Willian Zalewski; Vania Bogorny,https://doi.org/10.1007/s10618-020-00676-x,null,J,no_arxiv,0 +2024,GeoInformatica,"A survey on the computation of representative trajectories.",Vanessa Lago Machado; Ronaldo dos Santos Mello; Vania Bogorny; Geomar André Schreiner,https://doi.org/10.1007/s10707-024-00514-y,null,J,no_arxiv,0 2022,Trans. GIS,"MAT-Index: An index for fast multiple aspect trajectory similarity measuring.",Ana Paula Ramos de Souza; Chiara Renso; Raffaele Perego 0001; Vania Bogorny,https://doi.org/10.1111/tgis.12889,null,J,no_arxiv,0 2021,GeoInformatica,"Evaluating the effect of compressing algorithms for trajectory similarity and classification problems.",Antonios Makris; Camila Leite da Silva; Vania Bogorny; Luis Otávio Alvares; José Antônio Fernandes de Macêdo; Konstantinos Tserpes,https://doi.org/10.1007/s10707-021-00434-1,null,J,no_arxiv,0 2021,ER,"Dependency Rule Modeling for Multiple Aspects Trajectories.",Ronaldo dos Santos Mello; Geomar André Schreiner; Cristian Alexandre Alchini; Gustavo Gonçalves dos Santos; Vania Bogorny; Chiara Renso,https://doi.org/10.1007/978-3-030-89022-3_11,null,C,no_arxiv,0 diff --git a/data/profs/search/Wagner-Meira.csv b/data/profs/search/Wagner-Meira.csv index 1a50b459..c8c3bea5 100644 --- a/data/profs/search/Wagner-Meira.csv +++ b/data/profs/search/Wagner-Meira.csv @@ -2,7 +2,7 @@ 2020,Future Generation CS,"Federated and secure cloud services for building medical image classifiers on an intercontinental infrastructure.",Ignacio Blanquer; Francisco V. Brasileiro; Andrey Brito; Amanda Calatrava; André Carvalho; Christof Fetzer; Flavio V. D. de Figueiredo; Ronny Petterson Guimarães; Leandro Bezerra Marinho; Wagner Meira Jr.; Altigran S. da Silva; Angel Alberich-Bayarri; Eduardo Camacho-Ramos; Ana Jimenez-Pastor; Antonio Luiz L. Ribeiro; Bruno Ramos Nascimento; Fábio Silva,https://doi.org/10.1016/j.future.2020.04.012,null,J,no_arxiv,0 2019,Future Generation CS,"BIGSEA: A Big Data analytics platform for public transportation information.",Andy S. Alic; Jussara M. Almeida; Giovanni Aloisio; Nazareno Andrade; Nuno Antunes; Danilo Ardagna; Rosa M. Badia; Tânia Basso; Ignacio Blanquer; Tarciso Braz; Andrey Brito; Donatello Elia; Sandro Fiore; Dorgival O. Guedes; Marco Lattuada 0001; Daniele Lezzi; Matheus Maciel; Wagner Meira Jr.; Demetrio Gomes Mestre; Regina Moraes; Fábio Morais 0001; Carlos Eduardo S. Pires; Nádia P. Kozievitch; Walter dos Santos; Paulo Silva 0002; Marco Vieira,https://doi.org/10.1016/j.future.2019.02.011,null,J,no_arxiv,0 2022,Data Min. Knowl. Discov.,"Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.",Carlos H. C. Teixeira; Mayank Kakodkar; Vinícius Vitor dos Santos Dias; Wagner Meira Jr.; Bruno Ribeiro 0001,https://doi.org/10.1007/s10618-021-00802-3,null,J,http://arxiv.org/abs/2012.03879v3,0 -2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco A. Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 +2022,Data Min. Knowl. Discov.,"Counterfactual inference with latent variable and its application in mental health care.",Guilherme F. Marchezini; Anísio M. Lacerda; Gisele L. Pappa; Wagner Meira Jr.; Débora M. Miranda; Marco Aurélio Romano-Silva; Danielle S. Costa; Leandro Malloy Diniz,https://doi.org/10.1007/s10618-021-00818-9,null,J,no_arxiv,0 2019,SIGMOD,"Fractal: A General-Purpose Graph Pattern Mining System.",Vinícius Vitor dos Santos Dias; Carlos H. C. Teixeira; Dorgival O. Guedes; Wagner Meira Jr.; Srinivasan Parthasarathy 0001,https://doi.org/10.1145/3299869.3319875,top,C,no_arxiv,0 2024,ICWSM,"Topic Shifts as a Proxy for Assessing Politicization in Social Media.",Marcelo Sartori Locatelli; Pedro H. Calais; Matheus Prado Miranda; João Pedro Junho; Tomas Lacerda Muniz; Wagner Meira Jr.; Virgílio Almeida 0001,https://doi.org/10.1609/icwsm.v18i1.31366,null,C,http://arxiv.org/abs/2312.11326v2,0 2022,WebSci,"Analyzing the Sleeping Giants Activism Model in Brazil.",Bárbara Gomes Ribeiro; Manoel Horta Ribeiro; Virgílio A. F. Almeida; Wagner Meira Jr.,https://doi.org/10.1145/3501247.3531563,null,C,http://arxiv.org/abs/2105.07523v3,0 diff --git a/data/profs/search/Zhao-Liang.csv b/data/profs/search/Zhao-Liang.csv index 3d0dfe39..4b38cead 100644 --- a/data/profs/search/Zhao-Liang.csv +++ b/data/profs/search/Zhao-Liang.csv @@ -2,5 +2,6 @@ 2020,Neurocomputing,"A tourist walk approach for internal and external outlier detection.",Rafael D. Rodrigues; Liang Zhao 0001; Qiusheng Zheng; Junbao Zhang,https://doi.org/10.1016/j.neucom.2018.10.113,null,J,no_arxiv,0 2019,Neural Networks,"Particle swarm optimization for network-based data classification.",Murillo G. Carneiro; Ran Cheng; Liang Zhao 0001; Yaochu Jin,https://doi.org/10.1016/j.neunet.2018.12.003,null,J,no_arxiv,0 2019,Neural Networks,"Time series trend detection and forecasting using complex network topology analysis.",Leandro Anghinoni; Liang Zhao 0001; Donghong Ji; Heng Pan,https://doi.org/10.1016/j.neunet.2019.05.018,null,J,no_arxiv,0 +2024,IEEE TKDE,"TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition.",Jiang Liu 0001; Hao Fei 0001; Fei Li 0021; Jingye Li; Bobo Li; Liang Zhao 0001; Chong Teng; Donghong Ji,https://doi.org/10.1109/TKDE.2024.3389650,top,J,no_arxiv,0 2022,Machine Learning,"Clustered and deep echo state networks for signal noise reduction.",Laercio de Oliveira Junior; Florian Stelzer; Liang Zhao 0001,https://doi.org/10.1007/s10994-022-06135-6,null,J,no_arxiv,0 2019,Theor. Comput. Sci.,"Algorithms to compute the Burrows-Wheeler Similarity Distribution.",Felipe A. Louza; Guilherme P. Telles; Simon Gog; Liang Zhao 0001,https://doi.org/10.1016/j.tcs.2019.03.012,null,J,no_arxiv,0