On evaluation of automl systems M Milutinovic, B Schoenfeld, D Martinez-Garcia, S Ray, S Shah, D Yan Proceedings of the ICML Workshop on Automatic Machine Learning 2020, 2020 | 22 | 2020 |
T-Cube Web Interface: a tool for immediate visualization, interactive manipulation and analysis of large sets of multivariate time series. S Ray, A Michalska, M Sabhnani, A Dubrawski, M Baysek, L Chen, ... AMIA... Annual Symposium proceedings. AMIA Symposium, 1106-1106, 2008 | 11 | 2008 |
T-Cube as an enabling technology in surveillance applications A Dubrawski, M Sabhnani, S Ray, J Roure, M Baysek Advances in Disease Surveillance 4 (6), 2007 | 11 | 2007 |
Learning graph neural networks for multivariate time series anomaly detection S Ray, S Lakdawala, M Goswami, C Gao arXiv preprint arXiv:2111.08082, 2021 | 8 | 2021 |
T-Cube web interface in support of real-time bio-surveillance program A Dubrawski, M Sabhnani, M Knight, M Baysek, D Neill, S Ray, ... 2009 International Conference on Information and Communication Technologies …, 2009 | 5 | 2009 |
Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data. L Chen, AW Dubrawski, S Ray, M Baysek, L Kelley, A Dunham, ... AMIA... Annual Symposium proceedings. AMIA Symposium, 900-900, 2008 | 5 | 2008 |
Interactive manipulation, visualization analysis of large sets of multidimensional time series in health informatics A Dubrawski, M Sabhnani, S Ray, M Baysek, L Chen, J Ostlund, M Knight INFORMS, 2008 | 4 | 2008 |
Rancidity of butterfat. II. The use of/-ascorbyl esters of fatty acids as antioxidants. S Mukherjee, S Ray, M Goswami | 4 | 1950 |
Diagnosing machine learning-based nuclear evaluation system A Dubrawski, S Ray, P Huggins, S Labov, K Nelson Proceedings of the IEEE NSS 3, 1, 2012 | 2 | 2012 |
Finding gaps in data to guide development of a radiation threat adjudication system N Gisolfi, M Fiterau, A Dubrawski, S Ray, S Labov, K Nelson Symposium on Radiation Measurements and Applications 2, 2014 | 1 | 2014 |
ACTIVE REFINEMENT OF WEAKLY SUPERVISED MODELS M Goswami, C Gao, B Boecking, S Ray, A Dubrawski | | 2021 |
Learning Probabalistic Graph Neural Networks for Multivariate Time Series Anomaly Detection S Ray, S Lakdawala, M Goswami, C Gao | | |