| Similarity measures for sql query clustering G Kul, DT Luong, T Xie, V Chandola, O Kennedy, S Upadhyaya IEEE Transactions on Knowledge and Data Engineering, 2018 | 62* | 2018 |
| Ettu: Analyzing Query Intents in Corporate Databases G Kul, D Luong, T Xie, P Coonan, V Chandola, O Kennedy, S Upadhyaya Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 43 | 2016 |
| A k-means approach to clustering disease progressions DTA Luong, V Chandola 2017 IEEE International Conference on Healthcare Informatics (ICHI), 268-274, 2017 | 36 | 2017 |
| dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems N Sorkunlu, DTA Luong, V Chandola 2018 IEEE International Conference on Big Data (Big Data), 1302-1307, 2018 | 10 | 2018 |
| Extracting Deep Phenotypes for Chronic Kidney Disease using Electronic Health Records DTA Luong, D Tran, WD Pace, M Dickinson, J Vassalotti, J Carroll, ... eGEMs (Generating Evidence & Methods to improve patient outcomes) 5 (1), 2017 | 9 | 2017 |
| Learning Deep Representations from Clinical Data for Chronic Kidney Disease DTA Luong, V Chandola 2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019 | 3 | 2019 |
| A divide-and-conquer algorithm for a symmetric tri-block-diagonal matrix BT Nguyen, AD Luong-Thanh, ND Thuc, B Van Thach 2012 Proceedings of IEEE Southeastcon, 1-6, 2012 | 3 | 2012 |
| longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data DTA Luong, P Singh, M Ramezani, V Chandola Journal of Healthcare Informatics Research, 2019 | 1 | 2019 |
| Approaches to Extract Deep Phenotypes from Clinical Data DTA Luong State University of New York at Buffalo, 2019 | | 2019 |
Varun ChandolaAssociate Professor, Computer Science Department, University at Buffalobuffalo.edu의 이메일 확인됨