A movie recommender system based on semi-supervised clustering C Christakou, L Lefakis, S Vrettos, A Stafylopatis International Conference on Computational Intelligence for Modelling …, 2005 | 43 | 2005 |
Joint cascade optimization using a product of boosted classifiers L Lefakis, F Fleuret Advances in neural information processing systems 23, 2010 | 39 | 2010 |
Jointly informative feature selection L Lefakis, F Fleuret Artificial Intelligence and Statistics, 567-575, 2014 | 13 | 2014 |
Jointly informative feature selection made tractable by gaussian modeling L Lefakis, F Fleuret Journal of Machine Learning Research 17 (182), 1-39, 2016 | 12 | 2016 |
Feidegger: A multi-modal corpus of fashion images and descriptions in german L Lefakis, A Akbik, R Vollgraf Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 10 | 2018 |
Reservoir boosting: Between online and offline ensemble learning L Lefakis, F Fleuret Advances in Neural Information Processing Systems 26, 2013 | 8 | 2013 |
Semi-supervised methods for handwritten character recognition using active learning L Lefakis, MA Wiering | 7 | 2007 |
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 | 5 | 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 | 4 | 2020 |
Sample distillation for object detection and image classification O Canévet, L Lefakis, F Fleuret Asian Conference on Machine Learning, 64-79, 2015 | 4 | 2015 |
Efficient regularized piecewise-linear regression trees L Lefakis, O Zadorozhnyi, G Blanchard arXiv preprint arXiv:1907.00275, 2019 | 3 | 2019 |
Dynamic programming boosting for discriminative macro-action discovery L Lefakis, F Fleuret International Conference on Machine Learning, 1548-1556, 2014 | 3 | 2014 |
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 | 2 | 2022 |
Image-Based grasping point detection using boosted histograms of oriented gradients L Lefakis, H Wildenauer, MP Garcia-Tubio, L Szumilas International Conference Image Analysis and Recognition, 200-209, 2010 | 2 | 2010 |
Transductive learning for document classification and handwritten character recognition L Lefakis Ph. D. thesis, Utrecht university, 2008 | 2 | 2008 |
The MASH project F Fleuret, P Abbet, C Dubout, L Lefakis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 1 | 2011 |
Boosted Edge Orientation Histograms for Grasping Point Detection L Lefakis, H Wildenauer, MP García-Tubío, L Szumilas 2010 20th International Conference on Pattern Recognition, 4072-4076, 2010 | 1 | 2010 |
Identification of Fine-Grained Fit Information from Customer Reviews in Fashion Y Puzikov, S Pecenakova, R Weffer, L Lefakis, R Shirvany Workshop on Recommender Systems in Fashion and Retail, 1-23, 2022 | | 2022 |
Tractable Approaches to Learning and Planning in High Dimensions L Lefakis EPFL, 2014 | | 2014 |
Macro-Action Discovery Based on Change Point Detection and Boosting L Lefakis, F Fleuret 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | | 2012 |