Gary M. Weiss's Top-10 Most Popular Papers

You may also view the publications by: type, year, or area, which will show all publications, not just the most popular. The papers listed on this page are Dr. Weiss' top-10 most heavily cited papers, according to Google Scholar. In each case the approximate number of citations are tagged in red text and clicking on the tag will dynamically retrieve the list of citing papers. Viewing the citing papers is one way to find related work. Click on the title to view the publication in pdf format.

See Dr. Weiss' Profile on Google scholar for a complete listing.

1. Jennifer R. Kwapisz, Gary M. Weiss and Samuel A. Moore (2010). Activity Recognition using Cell Phone Accelerometers, ACM SIGKDD Explorations, 12(2):74-82. 3031 citations
2. Gary M. Weiss (2004). Mining with Rarity: A Unifying Framework, SIGKDD Explorations 6(1):7-19. 1858 citations
3. Gary M. Weiss and Foster Provost (2003). Learning when Training Data are Costly: The Effect of Class Distribution on Tree Induction, Journal of Artificial Intelligence Research, 19:315-354. 1195 citations
4. Gary M. Weiss and Foster Provost (2001). The Effect of Class Distribution on Classifier Learning: An Emprical Study, Technical Report ML-TR-44, Department of Computer Science, Rutgers University, August 2, 2001. 611 citations
5. Jennifer R. Kwapisz, Gary M. Weiss and Samuel A. Moore (2010). Cell Phone-Based Biometric Identification, Proceedings of the IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems (BTAS-10), Washington DC. 384 citations
6. Gary M. Weiss and Haym Hirsh (1998). Learning to Predict Rare Events in Event Sequences, Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), AAAI Press, Menlo Park, CA, 359-363. 377 citations
7. Gary M. Weiss, Kate McCarthy and Bibi Zabar (2007). Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?, Proceedings of the 2007 International Conference on Data Mining, CSREA Press, 35-41. 365 citations
8. Gary M. Weiss and Jeffrey W. Lockhart (2012). The Impact of Personalization on Smartphone-Based Activity Recognition, Papers from the AAAI-12 Workshop on Activity Context Representation: Techniques and Languages, AAAI Technical Report WS-12-05, Toronto, Canada, 98-104. 233 citations
9. Kate McCarthy, Bibi Zabar and Gary. M. Weiss (2005). Does Cost-Sensitive Learning Beat Sampling for Classifying Rare Classes?, Proceedings of the First International Workshop on Utility-Based Data Mining (at KDD-05), ACM Press, 69-75. 227 citations
10. Gary M. Weiss, Jessica L. Timko, Catherine M. Gallagher, Kenichi Yoneda, and Andrew J. Schreiber (2016). Smartwatch-based Activity Recognition: A Machine Learning Approach, Proceedings of the 2016 IEEE International Conference on Biomedical and Health Informatics (BHI 2016), Las Vegas, NV, 426-429. 220 citations

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11. Gary M. Weiss, Kenichi Yoneda, and Thaier Hayajneh (2019). Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living. IEEE Access, 7:133190-133202, Sept. 2019. 205 citations