Suivre
Alejandro Marcos Alvarez
Alejandro Marcos Alvarez
Autres nomsAlejandro Marcos
Systems and Modeling Research Unit, Montefiore Institute, University of Liège
Adresse e-mail validée de ulg.ac.be
Titre
Citée par
Citée par
Année
A machine learning-based approximation of strong branching
A Marcos Alvarez, Q Louveaux, L Wehenkel
INFORMS Journal on Computing 29 (1), 185-195, 2017
2202017
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
852013
A supervised machine learning approach to variable branching in branch-and-bound
A Marcos Alvarez, Q Louveaux, L Wehenkel
Technical report, 2014
522014
Online learning for strong branching approximation in branch-and-bound
A Marcos Alvarez, L Wehenkel, Q Louveaux
302016
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
202013
Machine learning to balance the load in parallel branch-and-bound
A Marcos Alvarez, L Wehenkel, Q Louveaux
162015
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
92013
On-the-fly Domain Adaptation of Binary Classifiers
S Piérard, A Marcos Alvarez, A Lejeune, M Van Droogenbroeck
BENELEARN 2014, 20, 2014
52014
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
52012
Computational and theoretical synergies between linear optimization and supervised machine learning
A Marcos Alvarez
ULiège-Université de Liège, 2016
12016
Prédiction de structures de macromolécules par apprentissage automatique
A Marcos Alvarez
ULiège-Université de Liège, 2011
12011
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
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