| Histone modification levels are predictive for gene expression R Karlić, HR Chung, J Lasserre, K Vlahoviček, M Vingron Proceedings of the National Academy of Sciences 107 (7), 2926-2931, 2010 | 849 | 2010 |
| Principled hybrids of generative and discriminative models JA Lasserre, CM Bishop, TP Minka 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 419 | 2006 |
| PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs A Marsico, MR Huska, J Lasserre, H Hu, D Vucicevic, A Musahl, UA Orom, ... Genome biology 14, 1-23, 2013 | 132 | 2013 |
| Estimation of pairwise sequence similarity of mammalian enhancers with word neighbourhood counts J Göke, MH Schulz, J Lasserre, M Vingron Bioinformatics 28 (5), 656-663, 2012 | 55 | 2012 |
| Finding associations among histone modifications using sparse partial correlation networks J Lasserre, HR Chung, M Vingron PLoS computational biology 9 (9), e1003168, 2013 | 47 | 2013 |
| Predicting the outcome of renal transplantation J Lasserre, S Arnold, M Vingron, P Reinke, C Hinrichs Journal of the American Medical Informatics Association 19 (2), 255-262, 2012 | 40 | 2012 |
| Inference of interactions between chromatin modifiers and histone modifications: from ChIP-Seq data to chromatin-signaling J Perner, J Lasserre, S Kinkley, M Vingron, HR Chung Nucleic acids research 42 (22), 13689-13695, 2014 | 32 | 2014 |
| Reconstruction of gene networks using prior knowledge M Ghanbari, J Lasserre, M Vingron BMC systems biology 9 (1), 1-11, 2015 | 27 | 2015 |
| Meta-learning for size and fit recommendation in fashion J Lasserre, AS Sheikh, E Koriagin, U Bergman, R Vollgraf, R Shirvany Proceedings of the 2020 SIAM international conference on data mining, 55-63, 2020 | 20 | 2020 |
| Hybrids of generative and discriminative methods for machine learning JA Lasserre University of Cambridge, 2008 | 14 | 2008 |
| The distance precision matrix: computing networks from non-linear relationships M Ghanbari, J Lasserre, M Vingron Bioinformatics 35 (6), 1009-1017, 2019 | 11 | 2019 |
| Hybrid learning of large jigsaws J Lasserre, A Kannan, J Winn 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 11 | 2007 |
| Attention gets you the right size and fit in fashion K Hajjar, J Lasserre, A Zhao, R Shirvany Recommender Systems in Fashion and Retail, 77-98, 2021 | 10 | 2021 |
| Street2fashion2shop: Enabling visual search in fashion e-commerce using studio images J Lasserre, C Bracher, R Vollgraf Pattern Recognition Applications and Methods: 7th International Conference …, 2019 | 8 | 2019 |
| Studio2Shop: from studio photo shoots to fashion articles J Laserre, K Rasch, R Vollgraf Proceedings of the 7th International Conference on Pattern Recognition …, 2018 | 8 | 2018 |
| Towards user-in-the-loop online fashion size recommendation with low cognitive load L Lefakis, E Koriagin, J Lasserre, R Shirvany Recommender Systems in Fashion and Retail, 59-76, 2021 | 4 | 2021 |
| Personalized size recommendations with human in the loop L Lefakis, E Koriagin, J Lasserre, R Shirvany Proceedings of the 37th International Conference on Machine Learning, Vienna …, 2020 | 2 | 2020 |
| Knowing When You Don’t Know in Online Fashion: An Uncertainty-Aware Size Recommendation Framework H Bahuleyan, J Lasserre, L Lefakis, R Shirvany Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop …, 2022 | | 2022 |
| SkillSF: In the Sizing Game, Your Size is Your Skill H Zafar, J Lasserre, R Shirvany Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop …, 2022 | | 2022 |
| Towards a histone code for transcription. R Karlić, HR Chung, J Lasserre, K Vlahoviček, M Vingron | | |
