| A three-way model for collective learning on multi-relational data M Nickel, V Tresp, HP Kriegel Icml, 2011 | 3019 | 2011 |
| A review of relational machine learning for knowledge graphs M Nickel, K Murphy, V Tresp, E Gabrilovich Proceedings of the IEEE 104 (1), 11-33, 2015 | 2045 | 2015 |
| A Bayesian committee machine V Tresp Neural computation 12 (11), 2719-2741, 2000 | 581 | 2000 |
| Factorizing yago: scalable machine learning for linked data M Nickel, V Tresp, HP Kriegel Proceedings of the 21st international conference on World Wide Web, 271-280, 2012 | 553 | 2012 |
| Learning Gaussian processes from multiple tasks K Yu, V Tresp, A Schwaighofer Proceedings of the 22nd international conference on Machine learning, 1012-1019, 2005 | 509 | 2005 |
| Probabilistic memory-based collaborative filtering K Yu, A Schwaighofer, V Tresp, X Xu, HP Kriegel IEEE Transactions on Knowledge and Data Engineering 16 (1), 56-69, 2004 | 508 | 2004 |
| Active learning via transductive experimental design K Yu, J Bi, V Tresp Proceedings of the 23rd international conference on Machine learning, 1081-1088, 2006 | 446 | 2006 |
| Method and arrangement for the neural modelling of a dynamic system with non-linear stochastic behavior V Tresp, T Briegel US Patent 6,272,480, 2001 | 364 | 2001 |
| Representative sampling for text classification using support vector machines Z Xu, K Yu, V Tresp, X Xu, J Wang Advances in Information Retrieval: 25th European Conference on IR Research …, 2003 | 336 | 2003 |
| Mixtures of Gaussian Processes V Tresp Advances in neural information processing systems, 2000 | 334 | 2000 |
| Multi-label informed latent semantic indexing K Yu, S Yu, V Tresp Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 329 | 2005 |
| Extraction of semantic biomedical relations from text using conditional random fields M Bundschus, M Dejori, M Stetter, V Tresp, HP Kriegel BMC bioinformatics 9, 1-14, 2008 | 307 | 2008 |
| Tensor-train recurrent neural networks for video classification Y Yang, D Krompass, V Tresp International Conference on Machine Learning, 3891-3900, 2017 | 295 | 2017 |
| Natural language questions for the web of data M Yahya, K Berberich, S Elbassuoni, M Ramanath, V Tresp, G Weikum Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 285 | 2012 |
| Type-constrained representation learning in knowledge graphs D Krompaß, S Baier, V Tresp The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …, 2015 | 280 | 2015 |
| Learning infinite hidden relational models Z Xu, V Tresp, K Yu, HP Kriegel Uncertainity in Artificial Intelligence (UAI2006) 2, 2006 | 271* | 2006 |
| Advances in Neural Information Processing Systems 13: Proceedings of the 2000 Conference TK Leen, TG Dietterich, V Tresp MIT Press, 2001 | 268* | 2001 |
| Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in neural information processing systems 19, 2006 | 266 | 2006 |
| Learning Gaussian process kernels via hierarchical Bayes A Schwaighofer, V Tresp, K Yu Advances in neural information processing systems 17, 2004 | 239 | 2004 |
| PyKEEN 1.0: a python library for training and evaluating knowledge graph embeddings M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ... Journal of Machine Learning Research 22 (82), 1-6, 2021 | 224 | 2021 |
Kai YuFounder & CEO of Horizon Robotics , Founder of Baidu IDL and Baidu Autonomous Driving在 hobot.cc 的电子邮件经过验证
