| Probabilistic temporal networks: A unified framework for reasoning with time and uncertainty E Santos Jr, JD Young International Journal of Approximate Reasoning 20 (3), 263-291, 1999 | 77 | 1999 |
| A general strategy for differential forensic analysis S Garfinkel, AJ Nelson, J Young Digital Investigation 9, S50-S59, 2012 | 65 | 2012 |
| Distinct sector hashes for target file detection J Young, K Foster, S Garfinkel, K Fairbanks Computer 45 (12), 28-35, 2012 | 56 | 2012 |
| Automatically detecting latency bottlenecks in asynchronous workflows A Steinhauser, WH Li, J Gong, X Long, JD Young US Patent App. 15/337,567, 2018 | 48 | 2018 |
| Minimally destructive sampling of type specimens of Pyropia (Bangiales, Rhodophyta) recovers complete plastid and mitochondrial genomes JR Hughey, PW Gabrielson, L Rohmer, J Tortolani, M Silva, KA Miller, ... Scientific Reports 4 (1), 5113, 2014 | 47 | 2014 |
| Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning H Zhuang, J Young WSDM'15, 243-252, 2015 | 30 | 2015 |
| Introduction to temporal bayesian networks JD Young, E Santos Jr Online Proceedings of the 1996 Midwest Artificial Intelligence and Cognitive …, 1996 | 30 | 1996 |
| Auto-learning of SMTP TCP Transport-Layer Features for Spam and Abusive Message Detection. G Kakavelakis, R Beverly, J Young LISA, 18-18, 2011 | 29 | 2011 |
| A microtext corpus for persuasion detection in dialog J Young, C Martell, P Anand, P Ortiz, HT Gilbert IV Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 24 | 2011 |
| Learning a ranking model using interactions of a user with a jobs list L Tang, E Huang, X Miao, Y Zhou, D Hardtke, JD Young US Patent 9,626,654, 2017 | 17 | 2017 |
| Cross-domain fault localization: A case for a graph digest approach WD Fischer, GG Xie, JD Young 2008 IEEE Internet Network Management Workshop (INM), 1-6, 2008 | 13 | 2008 |
| Online hyperparameter tuning in distributed machine learning IB Wood, X Miao, CM Tsai, JD Young US Patent App. 15/477,782, 2018 | 12 | 2018 |
| Regularized model adaptation for in-session recommendations X Miao, Y Zhou, JD Young, L Tang, A Bhasin US Patent 10,586,167, 2020 | 10 | 2020 |
| Version control for asynchronous distributed machine learning X Miao, Y Zhou, JD Young, L Tang, A Bhasin US Patent 10,380,500, 2019 | 10 | 2019 |
| Probabilistic Temporal Networks. E Santos Jr, JD Young AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH, 1996 | 10 | 1996 |
| Distributed personalization X Miao, CT Chu, L Tang, Y Zhou, J Young, A Bhasin Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 9 | 2015 |
| Machine Learning Techniques for Persuasion Detection in Conversation P Ortiz Naval Postgraduate School, 2010 | 7 | 2010 |
| Sequencing by hybridization using direct and reverse cooperating spectra SA Heath, FP Preparata, J Young Proceedings of the sixth annual international conference on Computational …, 2002 | 6 | 2002 |
| On Unifying time and uncertainty: the probabilistic temporal network JD Young Air Force Institute of Technology, 1996 | 5 | 1996 |
| Flexible configuration of model training pipelines S Gu, X Yan, S He, A Birkmanis, F Chen, Y Gong, CM Tsai, S Sun, ... US Patent App. 15/878,186, 2019 | 4 | 2019 |
Simson GarfinkelSchmidt FuturesVerified email at acm.org
