| A machine learning-based approximation of strong branching A Marcos Alvarez, Q Louveaux, L Wehenkel INFORMS Journal on Computing 29 (1), 185-195, 2017 | 227 | 2017 |
| Clustering-based anomaly detection in multi-view data A Marcos Alvarez, M Yamada, A Kimura, T Iwata Proceedings of the 22nd ACM international conference on Information …, 2013 | 85 | 2013 |
| A supervised machine learning approach to variable branching in branch-and-bound A Marcos Alvarez, Q Louveaux, L Wehenkel Technical report, 2014 | 51 | 2014 |
| Online learning for strong branching approximation in branch-and-bound A Marcos Alvarez, L Wehenkel, Q Louveaux | 29 | 2016 |
| Image context discovery from socially curated contents A Kimura, K Ishiguro, M Yamada, A Marcos Alvarez, K Kataoka, ... Proceedings of the 21st ACM international conference on Multimedia, 565-568, 2013 | 20 | 2013 |
| Machine learning to balance the load in parallel branch-and-bound A Marcos Alvarez, L Wehenkel, Q Louveaux | 16 | 2015 |
| Exploiting socially-generated side information in dimensionality reduction A Marcos Alvarez, M Yamada, A Kimura Proceedings of the 2nd international workshop on Socially-Aware Multimedia, 9-12, 2013 | 9 | 2013 |
| On-the-fly Domain Adaptation of Binary Classifiers S Piérard, A Marcos Alvarez, A Lejeune, M Van Droogenbroeck BENELEARN 2014, 20, 2014 | 5 | 2014 |
| Supervised learning to tune simulated annealing for in silico protein structure prediction A Marcos Alvarez, F Maes, L Wehenkel ESANN 2012, 20th European Symposium on Artificial Neural Networks …, 2012 | 5 | 2012 |
| Computational and theoretical synergies between linear optimization and supervised machine learning A Marcos Alvarez ULiège-Université de Liège, 2016 | 1 | 2016 |
| Prédiction de structures de macromolécules par apprentissage automatique A Marcos Alvarez ULiège-Université de Liège, 2011 | 1 | 2011 |
| Decision Support System with Genetic Algorithm for Economic Statistical Design of Nonparametric Control Chart A Marcos Alvarez, C Heuchenne, PH Tran, A Faraz Machine Learning and Probabilistic Graphical Models for Decision Support …, 2022 | | 2022 |
| Machine learning for compositional data analysis in Support of the Decision Making Process TT Van Nguyen, C Heuchenne, KP Tran Machine Learning and Probabilistic Graphical Models for Decision Support …, 2022 | | 2022 |
| Data-Driven Approach for Credit Card Fraud Detection with Autoencoder and One-Class Classification Techniques A Marcos Alvarez, C Heuchenne | | 2022 |
| Economic statistical design of nonparametric control charts A Marcos Alvarez ULiège-Université de Liège, 2014 | | 2014 |
Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeAdresse e-mail validée de ulg.ac.be
