Daniel Aloise
M.Sc. (PUC-Rio, Brésil) et un Ph.D. (Poly)
Full Professor
Department of Computer Engineering and Software Engineering
Department of Computer Engineering and Software Engineering
Student research project(s)
Research interests and affiliations
Research interests
- Data Science
- Big Data
- Optimization
- Mathematical Programming
Affiliation(s)
Expertise type(s) (NSERC subjects)
- 1601 Operations research and management science
- 2510 Adaptive, learning and evolutionary systems
- 2713 Algorithms
- 2715 Optimization
Publications
Recent publications
Journal article
Journal article
Conference paper
Journal article
Rocha, C., Pessoa, B. J. S., Aloise, D., & Cabral, L. A. (2022). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 16 pages.
Kohyarnejadfard, I., Aloise, D., Azhari, S. V., & Dagenais, M. (2022). Anomaly detection in microservice environments using distributed tracing data analysis and NLP. Journal of Cloud Computing, 11(1), 16 pages.
Rodrigues, I. M., Aloise, D., & Fernandes, E. R. (2022, May). FaST: A linear time stack trace alignment heuristic for crash report deduplication [Paper]. Mining Software Repositories Conference (MSR 2022), Pittsburgh, PA, USA.
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582.
See all publications (43)
Supervision at Polytechnique
COMPLETED
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Ph.D. Thesis (5)
- Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Ph.D. thesis, Polytechnique Montréal].
- Kohyarnejadfard, I. (2022). System Performance Anomaly Detection using Tracing Data Analysis [Ph.D. thesis, Polytechnique Montréal].
- Muller Rodrigues, I. (2022). Algorithms and Learning Models for Bug Report Deduplication [Ph.D. thesis, Polytechnique Montréal].
- Alves Randel, R. (2021). Optimization Methods to Enhance Constraint-Based Semi-Supervised Clustering [Ph.D. thesis, Polytechnique Montréal].
- Rochink Costa, L. (2021). Workload Optimization for Swarm-Powered Ad-hoc Clouds [Ph.D. thesis, Polytechnique Montréal].
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Master's Thesis (10)
- Aber Aouni, A. (2022). Utilisation d'un espace latent pour une déduplication de bogues rapide [Master's thesis, Polytechnique Montréal].
- Courtade, E. (2022). Importance des variables et régressions statistiques imitant l'heuristique de branchement fort dans un problème de rotation d'équipages [Master's thesis, Polytechnique Montréal].
- Pereira, P. (2022). Imitation du branchement fort pour les problèmes de rotations d'équipage [Master's thesis, Polytechnique Montréal].
- Bouchard, I. (2021). Building Damage Assessment After a Natural Disaster in Emergency Contexts: A Deep Learning Approach [Master's thesis, Polytechnique Montréal].
- Ton, K. (2021). Using a Diversity Criterion to Select Training Sets for Machine Learning Models [Master's thesis, Polytechnique Montréal].
- Haouas, M. N. (2020). Résolution exacte du problème de partitionnement de données avec minimisation de variance sous contraintes de cardinalité par programmation par contraintes [Master's thesis, Polytechnique Montréal].
- Heutte, N. (2020). A Divide-and-Conquer Approach to Employee Scheduling [Master's thesis, Polytechnique Montréal].
- Moins, T. (2020). Modèle hybride combinant réseau de neurones convolutifs et modèle basé sur le choix pour la recommandation de sièges [Master's thesis, Polytechnique Montréal].
- Boucaud, L. (2019). Mécanismes d'attention pour les modèles convolutifs dans le cadre de la prédiction de trajectoires [Master's thesis, Polytechnique Montréal].
- Hulot, P. (2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Master's thesis, École Polytechnique de Montréal].
