| Beam sampling for the infinite hidden Markov model J Van Gael, Y Saatci, YW Teh, Z Ghahramani Proceedings of the 25th international conference on Machine learning, 1088-1095, 2008 | 349 | 2008 |
| Predicting information spreading in twitter TR Zaman, R Herbrich, J Van Gael, D Stern Workshop on computational social science and the wisdom of crowds, nips 104 …, 2010 | 328 | 2010 |
| Improving diversity in ranking using absorbing random walks X Zhu, AB Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007 | 328 | 2007 |
| Variational inference for the Indian buffet process F Doshi, K Miller, J Van Gael, YW Teh Artificial Intelligence and Statistics, 137-144, 2009 | 186 | 2009 |
| The infinite factorial hidden Markov model J Gael, Y Teh, Z Ghahramani Advances in Neural Information Processing Systems 21, 2008 | 147 | 2008 |
| Measure transformer semantics for Bayesian machine learning J Borgström, AD Gordon, M Greenberg, J Margetson, J Van Gael Programming Languages and Systems: 20th European Symposium on Programming …, 2011 | 140 | 2011 |
| Crowd IQ: Measuring the intelligence of crowdsourcing platforms M Kosinski, Y Bachrach, G Kasneci, J Van-Gael, T Graepel Proceedings of the 4th annual ACM web science conference, 151-160, 2012 | 83 | 2012 |
| Crowd IQ--Aggregating Opinions to Boost Performance M Kosinski, Y Bachrach, T Graepel, G Kasneci, J Van Gael arXiv preprint arXiv:2410.10004, 2024 | 79 | 2024 |
| Machine learning using relational databases JAFM Van Gael, R Herbrich, T Graepel US Patent 8,364,612, 2013 | 75 | 2013 |
| The infinite HMM for unsupervised PoS tagging J Van Gael, A Vlachos, Z Ghahramani Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 68 | 2009 |
| Cobayes: bayesian knowledge corroboration with assessors of unknown areas of expertise G Kasneci, JV Gael, D Stern, T Graepel Proceedings of the fourth ACM international conference on Web search and …, 2011 | 56 | 2011 |
| Information propagation probability for a social network TR Zaman, JAFM Van Gael, D Stern, R Herbrich, G Lotan US Patent 8,473,437, 2013 | 52 | 2013 |
| Human-assisted training of automated classifiers U Paquet, D Stern, JAFM Van Gael, R Herbrich US Patent 8,589,317, 2013 | 51 | 2013 |
| Correlation Clustering for Crosslingual Link Detection. J Van Gael, X Zhu IJCAI, 1744-1749, 2007 | 44 | 2007 |
| Information propagation probability for a social network TR Zaman, JAFM Van Gael, D Stern, R Herbrich, G Lotan US Patent 9,256,829, 2016 | 35 | 2016 |
| Bayesian knowledge corroboration with logical rules and user feedback G Kasneci, J Van Gael, R Herbrich, T Graepel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 31 | 2010 |
| Transparent user models for personalization K El-Arini, U Paquet, R Herbrich, J Van Gael, B Agüera y Arcas Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 30 | 2012 |
| Probabilistic graphical models for semi-supervised traffic classification C Rotsos, J Van Gael, AW Moore, Z Ghahramani Proceedings of the 6th International wireless communications and mobile …, 2010 | 30 | 2010 |
| Knowledge corroboration G Kasneci, JAFM Van Gael, T Kraepel, R Herbrich, D Stern US Patent 8,706,653, 2014 | 29 | 2014 |
| Bayesian nonparametric hidden Markov models J Van Gael University of Cambridge, 2012 | 22 | 2012 |
Ralf HerbrichHasso Plattner InstituteVerified email at hpi.de
