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008			221114s2022 si | s |||| 0|eng d
020			_a9789811944536
024	7		_a10.1007/978-981-19-4453-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aResponsible Data Science _bSelect Proceedings of ICDSE 2021 _cedited by Jimson Mathew, G Santhosh Kumar, Deepak P, Joemon M Jose
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VIII, 221 páginas) _b68 ilustraciones, 50 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Electrical Engineering _x1876-1119 _v940
505	0		_aEnd-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.
520			_aThis 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.
700	1		_aMathew, Jimson _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSanthosh Kumar, G _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aP., Deepak _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJose, Joemon M _eeditor literario _0(orcid)0000-0001-9228-1759 _1https://orcid.org/0000-0001-9228-1759 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811944529
776	0	8	_iPrinted edition: _z9789811944543
776	0	8	_iPrinted edition: _z9789811944550
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-4453-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394418 _d394418