Gary M. Weiss 个人学术档案

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	总计	2019 年至今
引用	12416	5032
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i10 指数	56	42

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Jeffrey W. LockhartUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
Foster ProvostProfessor, New York University在 stern.nyu.edu 的电子邮件经过验证
Haym HirshComputer Science, Cornell University在 cornell.edu 的电子邮件经过验证
Thaier Hayajneh, Ph. D., SMIEEEFordham Center for Cybersecurity, Fordham University, New York, USA在 fordham.edu 的电子邮件经过验证
Tony PulickalSolutions Engineer, HashiCorp在 pulickal.net 的电子邮件经过验证
ye tianBiogen Idec在 sas.upenn.edu 的电子邮件经过验证
Bianca ZadroznyIBM Research Brasil在 br.ibm.com 的电子邮件经过验证
Maytal Saar-TsechanskyThe University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
Md Zakirul Alam BhuiyanComp. & Info. Sciences, Fordham University (Highly-Cited Researcher, The Rising Star of Science)在 fordham.edu 的电子邮件经过验证
Andrew H JohnstonFordham University在 fordham.edu 的电子邮件经过验证
Daniel D LeedsFordham University在 fordham.edu 的电子邮件经过验证
Yijun ZhaoFordham University在 fordham.edu 的电子邮件经过验证
Qiang MaSponsored Products, Amazon在 amazon.com 的电子邮件经过验证
Dr. Mahmoud Abou-NasrFord Motor Company在 ieee.org 的电子邮件经过验证
Diane LitmanUniversity of Pittsburgh在 cs.pitt.edu 的电子邮件经过验证
Yuhan HaoNew York University, New York Genome Center在 nyu.edu 的电子邮件经过验证
Stefan LessmannProfessor of Information Systems, Humboldt-University of Berlin在 hu-berlin.de 的电子邮件经过验证
Brian D. DavisonProfessor and Chair, Dept. of Computer Science and Engineering, Lehigh University在 cse.lehigh.edu 的电子邮件经过验证
Stuart M. BrownAssociate Professor of Cell Biology, NYU School of Medicine在 nyumc.org 的电子邮件经过验证
Sven F. CroneAssistant Professor of Business Analytics, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证

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Gary M. Weiss

Dept. of Computer & Info. Science, Fordham University

在 fordham.edu 的电子邮件经过验证 - 首页

Data Science Class Imbalance Behavioral Biometrics Activity Recognition Educational Data Mining


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Activity recognition using cell phone accelerometers JR Kwapisz, GM Weiss, SA Moore ACM SigKDD Explorations Newsletter 12 (2), 74-82, 2011	3401	2011
Mining with rarity: a unifying framework GM Weiss ACM Sigkdd Explorations Newsletter 6 (1), 7-19, 2004	1952	2004
Learning when training data are costly: The effect of class distribution on tree induction GM Weiss, F Provost Journal of artificial intelligence research 19, 315-354, 2003	1258	2003
The effect of class distribution on classifier learning: an empirical study GM Weiss, F Provost Rutgers University, 2001	515	2001
Cell phone-based biometric identification JR Kwapisz, GM Weiss, SA Moore 2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010	407	2010
Cost-sensitive learning vs. sampling: Which is best for handling unbalanced classes with unequal error costs? GM Weiss, K McCarthy, B Zabar Dmin 7 (35-41), 24, 2007	401	2007
Learning to Predict Rare Events in Event Sequences. GM Weiss, H Hirsh KDD 98, 359-363, 1998	396	1998
Smartphone and smartwatch-based biometrics using activities of daily living GM Weiss, K Yoneda, T Hayajneh Ieee Access 7, 133190-133202, 2019	324	2019
Smartwatch-based activity recognition: A machine learning approach GM Weiss, JL Timko, CM Gallagher, K Yoneda, AJ Schreiber 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016	261	2016
Does cost-sensitive learning beat sampling for classifying rare classes? K McCarthy, B Zabar, G Weiss Proceedings of the 1st international workshop on Utility-based data mining …, 2005	247	2005
The impact of personalization on smartphone-based activity recognition GM Weiss, J Lockhart Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012	244	2012
Design considerations for the WISDM smart phone-based sensor mining architecture JW Lockhart, GM Weiss, JC Xue, ST Gallagher, AB Grosner, TT Pulickal Proceedings of the Fifth International Workshop on Knowledge Discovery from …, 2011	192	2011
Smartwatch-based biometric gait recognition AH Johnston, GM Weiss 2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015	182	2015
Applications of mobile activity recognition JW Lockhart, T Pulickal, GM Weiss Proceedings of the 2012 ACM conference on ubiquitous computing, 1054-1058, 2012	167	2012
Data mining in telecommunications GM Weiss Data Mining and Knowledge Discovery Handbook, 1189-1201, 2005	165	2005
Learning with rare cases and small disjuncts GM Weiss Machine Learning Proceedings 1995, 558-565, 1995	142	1995
The effect of class distribution on classifier learning GM Weiss, F Provost Rutgers University, 2001	135	2001
A quantitative study of small disjuncts GM Weiss, H Hirsh AAAI/IAAI 2000 (665–670), 15, 2000	117	2000
Foundations of imbalanced learning GM Weiss Imbalanced learning: Foundations, algorithms, and applications, 13-41, 2013	108	2013
Timeweaver: A genetic algorithm for identifying predictive patterns in sequences of events GM Weiss Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999	97	1999

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