Stebėti
Saswati Ray
Saswati Ray
Patvirtintas el. paštas google.com
Pavadinimas
Cituota
Cituota
Metai
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
202020
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
112008
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
112007
Learning graph neural networks for multivariate time series anomaly detection
S Ray, S Lakdawala, M Goswami, C Gao
arXiv preprint arXiv:2111.08082, 2021
82021
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
52009
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
52008
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
42008
Rancidity of butterfat. II. The use of/-ascorbyl esters of fatty acids as antioxidants.
S Mukherjee, S Ray, M Goswami
41950
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
22012
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
12014
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
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Straipsniai 1–12