Titlebook: Responsible Data Science; Select Proceedings o Jimson Mathew,G. Santhosh Kumar,Joemon M. Jose Conference proceedings 2022 The Editor(s) (if

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,End-to-End Hierarchical Approach for?Emotion Detection in?Short Texts,-based self-attention model, a BiGRU model, and a BERT-based model for hierarchical emotion classification. Our approaches are evaluated on four large datasets, demonstrating statistically significant improvements.

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,Towards an?Enhanced Understanding of?Bias in?Pre-trained Neural Language Models: A Survey with?Specctive Bias, in large pre-trained language models. We present a summary of various bias evaluation corpora that help to aid future research and discuss challenges in the research on bias in pre-trained language models. We believe that our attempt to draw a comprehensive view of bias in pre-trained la

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Joint Geometrical and Statistical Alignment Using Triplet Loss for Deep Domain Adaptation,ss in a unified framework. Ubiquitous evaluations have affirmed that the suggested method JGSAT remarkably vanquishes cutting-edge shallow and deep domain adaptation techniques on the PIE face recognition dataset.

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Virtual Try-On Using Style Transfer,rained to learn the clothing and posture details of the image and perform the desired style transfer. The proposed method gives competitive results despite a considerable difference in model complexity.