| A teleconnection between the West Siberian Plain and the ENSO region S Liess, S Agrawal, S Chatterjee, V Kumar Journal of Climate 30 (1), 301-315, 2017 | 26 | 2017 |
| Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks S Agrawal, M Steinbach, D Boley, S Chatterjee, G Atluri, A T Dang, S Liess ... IEEE Transactions on Knowledge and Data Engineering, 2019 | 20 | 2019 |
| Short text classification using graph convolutional network K Tayal, R Nikhil, S Agarwal, K Subbian NIPS workshop on Graph Representation Learning, 2019 | 19 | 2019 |
| Tripoles: A new class of relationships in time series data S Agrawal, G Atluri, A Karpatne, W Haltom, S Liess, S Chatterjee, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 17 | 2017 |
| Regularized graph convolutional networks for short text classification K Tayal, N Rao, S Agarwal, X Jia, K Subbian, V Kumar Proceedings of the 28th International Conference on Computational …, 2020 | 11 | 2020 |
| Mining Sub-Interval Relationships In Time Series Data S Agrawal, S Verma, G Atluri, A Karpatne, S Liess, A Macdonald III, ... arXiv preprint arXiv:1802.06095, 2018 | 4 | 2018 |
| Evaluation of global climate models based on global impacts of ENSO S Agrawal, T Rehberger, S Liess, G Atluri, V Kumar Machine Learning and Data Mining Approaches to Climate Science: Proceedings …, 2015 | 4 | 2015 |
| A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series S Agrawal, S Verma, A Karpatne, S Liess, S Chatterjee, V Kumar arXiv preprint arXiv:1906.01450, 2019 | 2 | 2019 |
| Tripoles: A new class of climate teleconnections S Agrawal, G Atluri, S Liess, S Chatterjee, V Kumar | 2 | 2015 |
| Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata S Agrawal, J Trenkle, J Kawale Proceedings of the 17th ACM Conference on Recommender Systems, 1-1, 2023 | 1 | 2023 |
| Short Text Classification Using Graph Convolutional Network K Tayal, N Rao, S AGRAWAL, K Subbian | 1 | 2019 |
| Anomaly Detection in Time-Evolving Climate Graphs S Liess, S Agrawal, K Das, G Atluri, M Steinbach, K Steinhaeuser, ... AGU Fall Meeting Abstracts 2016, IN13D-09, 2016 | 1 | 2016 |
| Finding Novel Multivariate Relationships in Time Series Data: Applications to Climate and Neuroscience S Agrawal, M Steinbach, D Boley, S Liess, S Chatterjee, V Kumar, G Atluri | | 2018 |
| Introducing Novel Relationships in Time Series Data S Agrawal | | 2018 |
| Tripoles S Agrawal, G Atluri, A Karpatne, W Haltom, S Liess, S Chatterjee, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | | 2017 |
| Anomaly Detection in Time-Evolving Climate Graphs S Agrawal, K Das, S Liess, G Atluri, M Steinbach, K Steinhaeuser, ... 2016 AGU Fall Meeting, 2016 | | 2016 |
| Analyzing Global Climate System Using Graph Based Anomaly Detection K Das, S Agrawal, G Atluri, S Leiss, V Kumar AGU Fall Meeting Abstracts 2014, NG41B-07, 2014 | | 2014 |
| EVALUATING SPATIAL MAPS OF GLOBAL CLIMATE MODELS USING MODIFIED EARTH MOVER’S DISTANCE S Agrawal, T Rehberger, S Liess, G Atluri, V Kumar Journal of climate 20 (2), 203-217, 2007 | | 2007 |
| INTRODUCING AND FINDING TRIPOLES: ANEW CLIMATE TELECONNECTION PATTERN S Agrawal, S Liess, S Chatterjee, V Kumar | | |
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
