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ORCIDJaya Kawale
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2020 – today
- 2023
[c16]Saurabh Agrawal
, John Trenkle, Jaya Kawale:
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata. RecSys 2023: 1- [i2]Saurabh Agrawal, John Trenkle, Jaya Kawale:
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata. CoRR abs/2309.08787 (2023)
2010 – 2019
- 2017
- [c15]Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee:
Recommendation with Capacity Constraints. CIKM 2017: 1439-1448 - [i1]Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee:
Recommendation under Capacity Constraints. CoRR abs/1701.05228 (2017) - 2016
- [c14]Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu:
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. IJCAI 2016: 3768-3774 - [c13]Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner:
Practical Linear Models for Large-Scale One-Class Collaborative Filtering. IJCAI 2016: 3854-3860 - 2015
- [c12]Sheng Li, Jaya Kawale, Yun Fu:
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. CIKM 2015: 811-820 - [c11]Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla:
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS 2015: 1297-1305 - [c10]Sheng Li, Jaya Kawale, Yun Fu:
Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization. SIGIR 2015: 875-878 - 2013
- [j1]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi:
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6(3): 158-179 (2013) - [c9]Jaya Kawale, Daniel Boley:
Constrained Spectral Clustering using L1 Regularization. SDM 2013: 103-111 - [p1]Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi C. Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess:
Earth Science Applications of Sensor Data. Managing and Mining Sensor Data 2013: 505-530 - 2012
- [c8]Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. CIDU 2012: 130-135 - [c7]Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar:
Testing the significance of spatio-temporal teleconnection patterns. KDD 2012: 642-650 - [c6]Jaya Kawale, Aditya Pal, Rob Fatland:
Tracking Spatio-Temporal Diffusion in Climate Data. SDM 2012: 839-850 - 2011
- [c5]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
Data Guided Discovery of Dynamic Climate Dipoles. CIDU 2011: 30-44 - [c4]Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar:
Anomaly Construction in Climate Data: Issues and Challenges. CIDU 2011: 189-203 - [c3]Aditya Pal, Jaya Kawale:
Connecting Mutually Influencing Bloggers. ICWSM 2011 - [c2]Jaya Kawale, Michael S. Steinbach, Vipin Kumar:
Discovering Dynamic Dipoles in Climate Data. SDM 2011: 107-118
2000 – 2009
- 2009
- [c1]Jaya Kawale, Aditya Pal, Jaideep Srivastava:
Churn Prediction in MMORPGs: A Social Influence Based Approach. CSE (4) 2009: 423-428
Coauthor Index
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