| Random projection for high dimensional data clustering: A cluster ensemble approach XZ Fern, CE Brodley International Conference Machine Learning, 186-193, 2003 | 874 | 2003 |
| Solving cluster ensemble problems by bipartite graph partitioning XZ Fern, CE Brodley Proceedings of the twenty-first international conference on Machine learning, 36, 2004 | 748 | 2004 |
| Open set learning with counterfactual images L Neal, M Olson, X Fern, WK Wong, F Li Proceedings of the European Conference on Computer Vision (ECCV), 613-628, 2018 | 381 | 2018 |
| Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach F Briggs, B Lakshminarayanan, L Neal, XZ Fern, R Raich, SJK Hadley, ... The Journal of the Acoustical Society of America 131 (6), 4640-4650, 2012 | 336 | 2012 |
| Cluster ensemble selection XZ Fern, W Lin Statistical Analysis and Data Mining: The ASA Data Science Journal 1 (3 …, 2008 | 282 | 2008 |
| Rank-loss support instance machines for MIML instance annotation F Briggs, XZ Fern, R Raich Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 243 | 2012 |
| Taming compiler fuzzers Y Chen, A Groce, C Zhang, WK Wong, X Fern, E Eide, J Regehr PLDI '13 Proceedings of the 34th ACM SIGPLAN conference on Programming …, 2013 | 193 | 2013 |
| Non-redundant multi-view clustering via orthogonalization Y Cui, XZ Fern, JG Dy Seventh IEEE international conference on data mining (ICDM 2007), 133-142, 2007 | 177 | 2007 |
| The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment F Briggs, Y Huang, R Raich, K Eftaxias, Z Lei, W Cukierski, SF Hadley, ... 2013 IEEE international workshop on machine learning for signal processing …, 2013 | 161 | 2013 |
| Adaptive Cluster Ensemble Selection. J Azimi, X Fern International Joint Conference on Artificial Intelligence, 992-997, 2009 | 158 | 2009 |
| Active learning of constraints for semi-supervised clustering S Xiong, J Azimi, XZ Fern IEEE Transactions on Knowledge and Data Engineering 26 (1), 43-54, 2013 | 144 | 2013 |
| Batch bayesian optimization via simulation matching J Azimi, A Fern, X Fern Advances in Neural Information Processing Systems 23, 2010 | 135 | 2010 |
| Time-frequency segmentation of bird song in noisy acoustic environments L Neal, F Briggs, R Raich, XZ Fern 2011 ieee international conference on acoustics, speech and signal …, 2011 | 115 | 2011 |
| Audio classification of bird species: A statistical manifold approach F Briggs, R Raich, XZ Fern 2009 Ninth IEEE international conference on data mining, 51-60, 2009 | 115 | 2009 |
| Dr-bilstm: Dependent reading bidirectional lstm for natural language inference R Ghaeini, SA Hasan, V Datla, J Liu, K Lee, A Qadir, Y Ling, A Prakash, ... arXiv preprint arXiv:1802.05577, 2018 | 114 | 2018 |
| Learning non-redundant codebooks for classifying complex objects W Zhang, A Surve, X Fern, T Dietterich The 26th International Conference on Machine Learning, 1241-1248, 2009 | 101 | 2009 |
| Interpreting recurrent and attention-based neural models: a case study on natural language inference R Ghaeini, XZ Fern, P Tadepalli Empirical Methods in Natural Language Processing, 2018 | 100 | 2018 |
| Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019 | 96 | 2019 |
| Hybrid batch Bayesian optimization J Azimi, A Jalali, X Fern International Conference on Machine Learning, 2012 | 93 | 2012 |
| Event nugget detection with forward-backward recurrent neural networks R Ghaeini, XZ Fern, L Huang, P Tadepalli arXiv preprint arXiv:1802.05672, 2018 | 85 | 2018 |
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
