Jaya Kawale
Jaya Kawale
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TitleCited byYear
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
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
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, 1297-1305, 2015
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
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
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
Method and apparatus for rating user generated content in search results
J Kawale, A Pal
US Patent 7,949,643, 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
Data guided discovery of dynamic climate dipoles
J Kawale, S Liess, A Kumar, M Steinbach, A Ganguly, NF Samatova, ...
NASA Conference on Intelligent Data Understanding (CIDU), 2011
Anomaly construction in climate data: issues and challenges
J Kawale, S Chatterjee, A Kumar, S Liess, M Steinbach, V Kumar
NASA Conference on Intelligent Data Understanding CIDU, 2011
Constrained spectral clustering using L1 regularization
J Kawale, D Boley
Proceedings of the 2013 SIAM International Conference on Data Mining, 103-111, 2013
Techniques for modifying a query based on query associations
J Kawale, A Pal
US Patent 8,930,356, 2015
Predicting game player monetization based on player logs
D Williams, J Kawale, J Srivastava, D Huffaker, Y Huang, N Contractor, ...
US Patent App. 13/043,331, 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
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
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns.
S Li, N Vlassis, J Kawale, Y Fu
IJCAI, 3768-3774, 2016
Mining time-lagged relationships in spatio-temporal climate data
J Kawale, S Liess, V Kumar, U Lall, A Ganguly
2012 Conference on Intelligent Data Understanding, 130-135, 2012
Leveraging query associations in federated search
A Pal, J Kawale
Proceedings of the SIGIR 2008 Workshop on Aggregated Search 3, 2008
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
Data Mining Standards
A Kadav, J Kawale, P Mitra
DataMiningGrid, 2003
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