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Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning., и . CoRR, (2023)Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME., , , , , и . CoRR, (2023)Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?, , и . MIET (2), том 491 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 226-241. Springer, (2022)Contrastive Learning for API Aspect Analysis., , , и . ASE, стр. 637-648. IEEE, (2023)Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks., , , , и . CoRR, (2023)Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions., , и . CoRR, (2022)Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning., , , , и . CoRR, (2023)Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models., , , , , и . CoRR, (2023)A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts., , , , , и . CoRR, (2024)Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification., , , , и . CoRR, (2024)