| Deep collaborative filtering via marginalized denoising auto-encoder S Li, J Kawale, Y Fu Proceedings of the 24th ACM international on conference on information and …, 2015 | 552 | 2015 |
| Churn prediction in MMORPGs: A social influence based approach J Kawale, A Pal, J Srivastava 2009 international conference on computational science and engineering 4 …, 2009 | 257 | 2009 |
| Efficient Thompson Sampling for Online Matrix-Factorization Recommendation J Kawale, HH Bui, B Kveton, L Tran-Thanh, S Chawla Advances in neural information processing systems 28, 2015 | 224 | 2015 |
| Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. S Li, N Vlassis, J Kawale, Y Fu IJCAI 16, 3768-3774, 2016 | 82 | 2016 |
| A graph‐based approach to find teleconnections in climate data J Kawale, S Liess, A Kumar, M Steinbach, P Snyder, V Kumar, ... Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (3 …, 2013 | 59 | 2013 |
| Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques AR Ganguly, EA Kodra, A Agrawal, A Banerjee, S Boriah, S Chatterjee, ... Nonlinear Processes in Geophysics 21 (4), 777-795, 2014 | 56 | 2014 |
| Method and apparatus for rating user generated content in search results J Kawale, A Pal US Patent 7,949,643, 2011 | 37 | 2011 |
| Discovering dynamic dipoles in climate data J Kawale, M Steinbach, V Kumar Proceedings of the 2011 SIAM international conference on data mining, 107-118, 2011 | 37 | 2011 |
| Anomaly construction in climate data: issues and challenges J Kawale, S Chatterjee, A Kumar, S Liess, M Steinbach, V Kumar InNASA Conference on Intelligent Data Understanding CIDU, 2011 | 36 | 2011 |
| Testing the significance of spatio-temporal teleconnection patterns J Kawale, S Chatterjee, D Ormsby, K Steinhaeuser, S Liess, V Kumar Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 33 | 2012 |
| Item recommendations via deep collaborative filtering S Li, J Kawale US Patent 10,255,628, 2019 | 30 | 2019 |
| Constrained spectral clustering using l1 regularization J Kawale, D Boley Proceedings of the 2013 SIAM International Conference on Data Mining, 103-111, 2013 | 29 | 2013 |
| Practical linear models for large-scale one-class collaborative filtering S Sedhain, H Bui, J Kawale, N Vlassis, B Kveton, AK Menon, T Bui, ... Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 27 | 2016 |
| Data Guided Discovery of Dynamic Climate Dipoles. J Kawale, S Liess, A Kumar, MS Steinbach, AR Ganguly, NF Samatova, ... CIDU, 30-44, 2011 | 25 | 2011 |
| Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization S Li, J Kawale, Y Fu ACM SIGIR Conference on Research and Development in Information Retrieval, 2015 | 24 | 2015 |
| Exploring the predictability of 30-day extreme precipitation occurrence using a global SST–SLP correlation network M Lu, U Lall, J Kawale, S Liess, V Kumar Journal of Climate 29 (3), 1013-1029, 2016 | 23 | 2016 |
| Techniques for modifying a query based on query associations J Kawale, A Pal US Patent 8,930,356, 2015 | 22 | 2015 |
| Different modes of variability over the Tasman Sea: implications for regional climate S Liess, A Kumar, PK Snyder, J Kawale, K Steinhaeuser, FHM Semazzi, ... Journal of Climate 27 (22), 8466-8486, 2014 | 22 | 2014 |
| Particle thompson sampling for online matrix factorization recommendation JB Kawale, B Kveton, HH Bui US Patent 10,332,015, 2019 | 21 | 2019 |
| Recommendation with capacity constraints K Christakopoulou, J Kawale, A Banerjee Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 18 | 2017 |
Stefan LiessResearch Associate, University of Minnesota-Twin CitiesVerified email at umn.edu
