| Probabilistic latent semantic indexing T Hofmann Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999 | 8093 | 1999 |
| Unsupervised learning by probabilistic latent semantic analysis T Hofmann Machine learning 42, 177-196, 2001 | 3616 | 2001 |
| Probabilistic latent semantic analysis. T Hofmann UAI 99, 289-296, 1999 | 3524 | 1999 |
| Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola | 3013 | 2008 |
| Large margin methods for structured and interdependent output variables. I Tsochantaridis, T Joachims, T Hofmann, Y Altun, Y Singer Journal of machine learning research 6 (9), 2005 | 2739 | 2005 |
| Support vector machines for multiple-instance learning S Andrews, I Tsochantaridis, T Hofmann Advances in neural information processing systems 15, 2002 | 2116 | 2002 |
| Latent semantic models for collaborative filtering T Hofmann ACM Transactions on Information Systems (TOIS) 22 (1), 89-115, 2004 | 2012 | 2004 |
| Support vector machine learning for interdependent and structured output spaces I Tsochantaridis, T Hofmann, T Joachims, Y Altun Proceedings of the twenty-first international conference on Machine learning …, 2004 | 1812 | 2004 |
| Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 1041 | 2008 |
| Latent class models for collaborative filtering T Hofmann, J Puzicha IJCAI 99 (1999), 1999 | 739 | 1999 |
| Hidden markov support vector machines Y Altun, I Tsochantaridis, T Hofmann Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 692 | 2003 |
| System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models T Hofmann, JC Puzicha US Patent 6,687,696, 2004 | 684 | 2004 |
| Hyperbolic neural networks O Ganea, G Bécigneul, T Hofmann Advances in neural information processing systems 31, 2018 | 674 | 2018 |
| The missing link-a probabilistic model of document content and hypertext connectivity D Cohn, T Hofmann Advances in neural information processing systems 13, 2000 | 648 | 2000 |
| Collaborative filtering via gaussian probabilistic latent semantic analysis T Hofmann Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 632 | 2003 |
| Pairwise data clustering by deterministic annealing T Hofmann, JM Buhmann Ieee transactions on pattern analysis and machine intelligence 19 (1), 1-14, 1997 | 618 | 1997 |
| Unifying collaborative and content-based filtering J Basilico, T Hofmann Proceedings of the twenty-first international conference on Machine learning, 9, 2004 | 571 | 2004 |
| Stabilizing Training of Generative Adversarial Networks through Regularization K Roth, A Lucchi, T Nowozin, S.: Hofmann NIPS, 2017 | 542 | 2017 |
| Hierarchical document categorization with support vector machines L Cai, T Hofmann Proceedings of the thirteenth ACM international conference on Information …, 2004 | 527 | 2004 |
| Fully character-level neural machine translation without explicit segmentation J Lee, K Cho, T Hofmann Transactions of the Association for Computational Linguistics 5, 365-378, 2017 | 517 | 2017 |
Aurelien LucchiAssistant Professor, Department of Mathematics and Computer Science, University of Basel確認したメール アドレス: inf.ethz.ch