Large Language Models, Large Vision Models, Computer Vision, Medical Imaging, Natural Language Processing, Generative Adversarial Networks, Explainable Artificial Intelligence, Machine Learning, Deep Learning and its applications.
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Application Developer (AI/ML) @ Dexian
- Dhaka, Bangladesh
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02:51
(UTC -12:00) - https://fatemafaria142.github.io/
- https://orcid.org/0009-0005-1684-8211
- in/fatema142
- https://scholar.google.com/citations?user=LEken_4AAAAJ&hl=en&authuser=1
- https://www.researchgate.net/profile/Fatema-Faria
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MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection
MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection PublicThis study introduces MultiBanFakeDetect, a novel multimodal dataset for Bangla fake news detection, combining textual and visual information. It features TextFakeNet for text analysis and MultiFus…
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Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI
Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI PublicThis research examines Large Language Models in Bengali Natural Language Inference, comparing them with state-of-the-art models using the XNLI dataset.
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BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification
BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification PublicForked from Mukaffi28/BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification
This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, Disast…
Jupyter Notebook
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Retinal-Fundus-Classification-using-XAI-and-Segmentation
Retinal-Fundus-Classification-using-XAI-and-Segmentation PublicThis research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.
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ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes
ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes PublicForked from Mukaffi28/ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes
This research introduces PotatoGANs, a novel data augmentation technique using GANs to generate synthetic potato disease images, improving model generalization in agricultural disease segmentation
Jupyter Notebook 1
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Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset
Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset PublicForked from Mukaffi28/Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset
This study addresses the gap in translating Bangla regional dialects into standard Bangla by creating a large-scale multilingual benchmark dataset of 32,500 sentences in Bangla, Banglish, and Engli…
Jupyter Notebook
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