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Responsible Data Science : Select Proceedings of ICDSE 2021 / edited by Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose
(Lecture Notes in Electrical Engineering. ISSN:18761119 ; 940)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	VIII, 221 p. 68 illus., 50 illus. in color : online resource
著者標目	Mathew, Jimson editor Santhosh Kumar, G editor P., Deepak editor Jose, Joemon M editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001681	Computer Scinece R0 2005-6,2022-3				9789811944536

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一般注記	End-to-end Hierarchical Approach for Emotion Detection in short texts -- Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias -- Exploring Rawlsian Fairness for K-Means Clustering -- Hybrid Explainable Educational Recommender using Self Attention and Knowledge Based Systems for E-Learning in MOOC Platforms -- An Improved Recommendation System with Aspect-Based Sentiment Analysis -- Exploring Biomarker Identification and Mortality Prediction of COVID-19 Patients using ML Algorithms -- COVID-19 cases prediction based on LSTM and SIR model using social media -- Joint Geometrical and Statistical Alignment using Triplet loss for Deep Domain Adaptation -- Virtual Try-On Using Style Transfer -- Attention Mechanism in Convolutional Recurrent Neural Network for Improving Recognition Accuracy in Printed Devanagari Text This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry HTTP:URL=https://doi.org/10.1007/978-981-19-4453-6
件　名	LCSH:Data structures (Computer science) LCSH:Information theory LCSH:Quantitative research LCSH:Telecommunication FREE:Data Structures and Information Theory FREE:Data Analysis and Big Data FREE:Communications Engineering, Networks
分　類	LCC:QA76.9.D35 LCC:Q350-390 DC23:005.73 DC23:003.54
書誌ID	EB00001069
ISBN	9789811944536