| Bayesian co-clustering H Shan, A Banerjee 2008 Eighth IEEE international conference on data mining, 530-539, 2008 | 235 | 2008 |
| Generalized probabilistic matrix factorizations for collaborative filtering H Shan, A Banerjee 2010 IEEE international conference on data mining, 1025-1030, 2010 | 221 | 2010 |
| Kernelized probabilistic matrix factorization: Exploiting graphs and side information T Zhou, H Shan, A Banerjee, G Sapiro Proceedings of the 2012 SIAM international Conference on Data mining, 403-414, 2012 | 206 | 2012 |
| Bayesian cluster ensembles H Wang, H Shan, A Banerjee Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011 | 205 | 2011 |
| BHPMF–a hierarchical B ayesian approach to gapfilling and trait prediction for macroecology and functional biogeography F Schrodt, J Kattge, H Shan, F Fazayeli, J Joswig, A Banerjee, ... Global Ecology and Biogeography 24 (12), 1510-1521, 2015 | 183 | 2015 |
| sPlotOpen–An environmentally balanced, openaccess, global dataset of vegetation plots FM Sabatini, J Lenoir, T Hattab, EA Arnst, M Chytrý, J Dengler, ... Global Ecology and Biogeography 30 (9), 1740-1764, 2021 | 79 | 2021 |
| Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization H Shan, J Kattge, P Reich, A Banerjee, F Schrodt, M Reichstein arXiv preprint arXiv:1206.6439, 2012 | 70 | 2012 |
| Multiple imputation of missing data in multi-dimensional retail sales data sets via tensor factorization R Natarajan, A Banerjee, H Shan US Patent 8,818,919, 2014 | 46 | 2014 |
| Mixed-membership naive Bayes models H Shan, A Banerjee Data Mining and Knowledge Discovery 23, 1-62, 2011 | 38 | 2011 |
| Residual bayesian co-clustering for matrix approximation H Shan, A Banerjee Proceedings of the 2010 SIAM International Conference on Data Mining, 223-234, 2010 | 25 | 2010 |
| Latent Dirichlet conditional naive-Bayes models A Banerjee, H Shan Seventh IEEE International Conference on Data Mining (ICDM 2007), 421-426, 2007 | 22 | 2007 |
| Discriminative mixed-membership models H Shan, A Banerjee, NC Oza 2009 Ninth IEEE International Conference on Data Mining, 466-475, 2009 | 20 | 2009 |
| Extracting overlay invariants of distributed systems for autonomic system management H Shan, G Jiang, K Yoshihira 2010 Fourth IEEE International Conference on Self-Adaptive and Self …, 2010 | 15 | 2010 |
| Model-Based Clustering. A Banerjee, H Shan Encyclopedia of machine learning, 686-689, 2010 | 15 | 2010 |
| Extracting overlay invariants network for capacity planning and resource optimization G Jiang, H Shan, K Yoshihira US Patent 9,098,342, 2015 | 12 | 2015 |
| Probabilistic tensor factorization for tensor completion H Shan, A Banerjee, R Natarajan | 12 | 2011 |
| Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification. A Agovic, H Shan, A Banerjee CIDU, 83-97, 2010 | 10 | 2010 |
| An approach for cross-media retrieval with cross-reference graph and pagerank Y Zhuang, H Shan, F Wu 2006 12th International Multi-Media Modelling Conference, 8 pp., 2006 | 7 | 2006 |
| Probabilistic Models for Multi-relational Data Analysis H Shan University of Minnesota, 2012 | 3 | 2012 |
| Discriminative Topic Models H Shan, A Agovic, A Banerjee Machine Learning and Knowledge Discovery for Engineering Systems Health …, 2016 | | 2016 |
