Répertoire des expertises

Aloise, Daniel

Répertoire des expertises

Aloise, Daniel

Répertoire des expertises

Publications par type

Article de revue (39) Communication de conférence (19) Livre Chapitre de livre (2) Brevet Rapport (36) Thèse (1) Ensemble de données (2) Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Daniel Aloise (99)

Articles de revue (39)
- 2025
  - Aloise, D., Moine, R., Ribeiro, C. C., & Jalbert, J. (2025). First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim. European Journal of Operational Research, 14 pages.
  - Correia Pereira, T., Aloise, D., & Rancourt, M.-È. (2025). HurricaneLog: A serious game for data collection and analysis of hurricane preparedness and response operations. International Journal of Disaster Risk Reduction, 105503.
- 2024
  - Cocha, C., Pessoa, B. P. S., Aloise, D., & Cabral, L. A. (2024). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 31(3), 1720-1735.
  - Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. Omega, 129, 103141 (15 pages).
  - Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2024). Data Mining-Driven Shift Enumeration for Accelerating the Solution of Large-Scale Personnel Scheduling Problems. ACM Transactions on Evolutionary Learning and Optimization, 24 pages.
  - Liang, J., Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions. EURO Journal on Transportation and Logistics, 13, 19 pages.
  - Martins Silva, M. C., Aloise, D., & Jena, S. D. (2024). On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems. Transportation Engineering, 16, 100226 (9 pages).
  - Jeske, M., Sanso, B., Aloise, D., & Nascimento, M. C. V. (2024). Received signal strength indicator prediction for mesh networks in a real urban environment using machine learning. IEEE Access, 12, 165861-165877.
- 2023
  - Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40.
- 2022
  - 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.
  - 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.
  - Bouchard, I., Rancourt, M.-E., Aloise, D., & Kalaitzis, F. (2022). On transfer learning for building damage assessment from satellite imagery in emergency contexts. Remote Sensing, 14(11), 29 pages.
  - Muller Rodrigues, I., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An alignment method for computing stack trace similarity. Empirical Software Engineering, 27(2), 41 pages.
  - Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2022). Visual attractiveness in vehicle routing via bi-objective optimization. Computers & Operations Research, 137, 105507 (14 pages).
- 2021
  - Kohyarnejadfard, I., Aloise, D., Dagenais, M., & Shakeri, M. (2021). A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis. Entropy, 23(8), 1011 (24 pages).
  - Randel, R., Aloise, D., Blanchard, S. J., & Hertz, A. (2021). A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering. Data Mining and Knowledge Discovery, 35(6), 2341-2368.
  - Silva, A., Aloise, D., Coelho, L. C., & Rocha, C. (2021). Heuristics for the dynamic facility location problem with modular capacities. European Journal of Operational Research, 290(2), 435-452.
  - Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case. IEEE Internet of Things Journal, 8(9), 7316-7332.
- 2020
  - Pinheiro, D. N., Aloise, D., & Blanchard, S. J. (2020). Convex fuzzy k-medoids clustering. Fuzzy Sets and Systems, 389, 66-92.
  - Gassais, R., Ezzati-Jivan, N., Fernandez, J. M., Aloise, D., & Dagenais, M. (2020). Multi-level host-based intrusion detection system for Internet of things. Journal of Cloud Computing-Advances Systems and Applications, 9(1), 62 (16 pages).
- 2019
  - Džamić, D., Aloise, D., & Mladenović, N. (2019). Ascent–descent variable neighborhood decomposition search for community detection by modularity maximization. Annals of Operations Research, 272(1-2), 273-287.
- 2018
  - Aloise, D., & Contardo, C. (2018). A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. Journal of Global Optimization, 71(3), 613-630.
  - Da Silva, T. G., De Sousa Filho, G. F., Barbosa, I. A. M., Mladenovic, N., Cabral, L. A. F., Ochi, L. S., & Aloise, D. (2018). Efficient heuristics for the minimum labeling global cut problem. Electronic Notes in Discrete Mathematics, 66, 23-30.
  - Gonçalves-e-Silva, K., Aloise, D., Xavier-de-Souza, S., & Mladenović, N. (2018). Less is more: simplified Nelder-Mead method for large unconstrained optimization. Yugoslav Journal of Operations Research, 28(2), 153-169.
  - Gonçalves-e-Silva, K., Aloise, D., & Xavier-de-Souza, S. (2018). Parallel synchronous and asynchronous coupled simulated annealing. Journal of Supercomputing, 74(6), 2841-2869.
  - de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131.
- 2017
  - Mariz, F. B. A. R., Almeida, M. R., & Aloise, D. (2017). A review of Dynamic Data Envelopment Analysis: state of the art and applications. International Transactions in Operational Research, 25(2), 469-505.
  - Blanchard, S. J., Aloise, D., & DeSarbo, W. S. (2017). Extracting Summary Piles from Sorting Task Data. Journal of Marketing Research, 54(3), 398-414.
  - Costa, L. R., Aloise, D., & Mladenovi, N. (2017). Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering. Information Sciences, 415-416, 247-253.
  - Pyatkin, A., Aloise, D., & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45.
  - Aloise, D., Damasceno, N. C., Mladenović, N., & Pinheiro, D. N. (2017). On strategies to fix degenerate k-means solutions. Journal of Classification, 34(2), 165-190.
- 2016
  - Santi, É., Aloise, D., & Blanchard, S. J. (2016). A model for clustering data from heterogeneous dissimilarities. European Journal of Operational Research, 253(3), 659-672.
- 2014
  - Aloise, D., Hansen, P., Rocha, C., & Santi, É. (2014). Column generation bounds for numerical microaggregation. Journal of Global Optimization, 60(2), 165-182.
  - Fernandes, I. F., Aloise, D., Aloise, D. J., Hansen, P., & Liberti, L. (2014). On the Weber facility location problem with limited distances and side constraints. Optimization Letters, 8(2), 407-424.
- 2012
  - Aloise, D., Hansen, P., & Liberti, L. (2012). An improved column generation algorithm for minimum sum-of-squares clustering. Mathematical Programming, 131(1), 195-220.
- 2011
  - Aloise, D., & Hansen, P. (2011). Evaluating a branch-and-bound RLT-based algorithm for minimum sum-of-squares clustering. Journal of Global Optimization, 49(3), 449-465.
- 2010
  - Aloise, D., Cafieri, S., Caporossi, G., Hansen, P., Perron, S., & Liberti, L. (2010). Column generation algorithms for exact modularity maximization in networks. Physical Review E, 82(4), 046112 (9 pages).
- 2009
  - Aloise, D., & Hansen, P. (2009). A branch-and-cut SDP-based algorithm for minimum sum-of-squares clustering. Pesquisa Operacional, 29(3), 503-516.
  - Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2009). NP-hardness of Euclidean sum-of-squares clustering. Machine Learning, 75(2), 245-248.
Communications de conférence (19)
- 2024
  - Pereira, J. H. A., Pessoa, B. J. S., Rocha, C., & Aloise, D. (novembre 2024). Meta-heurística vns aplicada a um problema de sequenciamento justo [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20).
  - Okano, E. Y., Aloise, D., & Nascimento, M. C. V. (novembre 2024). Topological Analysis of Graphs for Comparing Sets of Time Series: A Case Study with Hospital Data [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20).
- 2023
  - Randel, R., Aloise, D., & Hertz, A. (avril 2023). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Communication écrite]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA.
  - Jeske, M., Nascimento, M. C. V., Aloise, D., & Sanso, B. (novembre 2023). Path loss prediction for mesh networks in a real urban environment using machine learning [Présentation]. Dans Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 55.
  - Gomes Ferreira Bertalan, V., & Aloise, D. (octobre 2023). Using Transformer Models and Textual Analysis for Log Parsing [Communication écrite]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy.
- 2022
  - Rodrigues, I. M., Aloise, D., & Fernandes, E. R. (mai 2022). FaST: A linear time stack trace alignment heuristic for crash report deduplication [Communication écrite]. Mining Software Repositories Conference (MSR 2022), Pittsburgh, PA, USA.
  - Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (mai 2022). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Communication écrite]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA.
- 2021
  - Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (mai 2021). On improving deep learning trace analysis with system call arguments [Communication écrite]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain.
- 2020
  - Haouas, M. N., Aloise, D., & Pesant, G. (septembre 2020). An exact CP approach for the cardinality-constrained euclidean minimum sum-of-squares clustering problem [Communication écrite]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria.
  - Rodrigues, I. M., Aloise, D., Fernandes, E. R., & Dagenais, M. (juin 2020). A soft alignment model for bug deduplication [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea.
  - Moins, T., Aloise, D., & Blanchard, S. J. (septembre 2020). RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues [Communication écrite]. 14th ACM Conference on Recommender Systems (RecSys 2020).
  - Pinheiro, D. N., Xavier-de-Souza, S., & Aloise, D. (mai 2020). Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets [Communication écrite]. IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2020), New Orleans, LA, USA.
- 2019
  - Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (octobre 2019). Automatic cause detection of performance problems in web applications [Communication écrite]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany.
  - Fournier, Q., & Aloise, D. (juin 2019). Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods [Communication écrite]. IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy.
  - Kohyarnejadfard, I., Shakeri, M., & Aloise, D. (avril 2019). System performance anomaly detection using tracing data analysis [Communication écrite]. 5th International Conference on Computer and Technology Applications (ICCTA 2019), Istanbul, Turkey.
- 2018
  - Pessoa, B. J. S., Cabral, L. A. F., & Aloise, D. (août 2018). Meta-heurística híbrida aplicada ao Problema das Sequências Justas Ponderadas [Communication écrite]. Simpósio Brasileiro de Pesquisa Operacional, Rio de Janeiro, Brazil (12 pages). Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional.
  - Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (octobre 2018). On the k-Medoids Model for Semi-supervised Clustering [Communication écrite]. 6th International Conference on Variable Neighborhood Search (ICVNS 2018), Sithonia, Greece.
  - Hulot, P., Aloise, D., & Jena, S. D. (août 2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Communication écrite]. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK.
- 2012
  - Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (février 2012). Modularity maximization in networks by variable neighborhood search [Communication écrite]. 10th DIMACS Implementation Challenge Workshop, Atlanta, GA, USA (14 pages).
Chapitres de livre (2)
- 2024
  - Ton, K. T., Aloise, D., & Contardo, C. (2024). On Removing Diverse Data for Training Machine Learning Models. Dans Rassias, T. M., & Pardalos, P. M. (édit.), Mathematical Analysis, Differential Equations and Applications (Vol. 11, p. 761-783).
- 2018
  - Pereira, T., Aloise, D., Brimberg, J., & Mladenović, N. (2018). Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem. Dans Pardalos, P. M., & Migdalas, A. (édit.), Open Problems in Optimization and Data Analysis (Vol. 141, p. 249-270).
Rapports (36)
- 2025
  - Willemsen, R., Aloise, D., & Jans, R. (2025). Accelerating Benders decomposition for the p-median problem through variable aggregation. (Rapport technique n° G-2025-27).
- 2024
  - Aloise, D., Moine, R., Ribeiro, C. C., & Jalbert, J. (2024). First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim. (Rapport technique n° G-2024-47).
  - Pereira, T. C., Aloise, D., & Rancourt, M.-E. (2024). HurricaneLog : a serious game for data colletion and analysis of hurricane preparedness and response operations. (Rapport technique n° CIRRELT-2024-36).
- 2023
  - Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. (Rapport technique n° G-2023-30).
  - Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2023). Data mining-driven shift enumeration for acceleratiing the solution of large-scale personnel scheduling problems. (Rapport technique n° G-2023-61).
  - Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Towards effective rebalancing of bike-sharing systems with regular and electric bikes. (Rapport technique n° G-2023-31).
- 2022
  - Rocha, C., de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2022). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. (Rapport technique n° G-2022-05).
  - Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Rapport technique n° G-2022-31).
  - Ton, K., Aloise, D., & Contardo, C. (2022). On removing diverse data for training machine learning models. (Rapport technique n° G-2022-38).
- 2021
  - Randel, R., Aloise, D., & Hertz, A. (2021). Exploring dual information in distance metric learning for clustering. (Rapport technique n° G-2021-32).
  - Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. (Rapport technique n° 2021-09).
- 2020
  - Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2020). The covering-assignment problem for swarm-powered ad-hoc clouds : a distributed 3D mapping use-case. (Rapport technique n° 2020-28).
  - Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2020). Visual attractiveness in vehicle routing via bi-objective optimization. (Rapport technique n° G-2020-65).
- 2019
  - Randel, R., Aloise, D., Blanchard, S., & Hertz, A. (2019). A Lagrangian-based score for assessing the quality of pairwise constraints in SSC. (Rapport technique n° G-2019-96).
  - Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Rapport technique n° G-2019-28).
  - da Costa Silva, A. F., Aloise, D., Coelho, L. C., & Rocha, C. (2019). Heuristics for the dynamic facility location problem with modular capacities. (Rapport technique n° G-2019-29).
- 2018
  - Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018). On the k-medoids model for semi-supervised clustering. (Rapport technique n° G-2018-23).
- 2017
  - Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2017). A bi-objective vehicle routing problem integrating routing operations into tactical clustering decisions. (Rapport technique n° G-2017-30).
  - de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2017). The carousel scheduling problem. (Rapport technique n° G-2017-37).
- 2016
  - Džamić, D., Aloise, D., & Mladenović, N. (2016). Ascent — Descent Variable Neighborhood Decomposition search for community detection by modularity maximization. (Rapport technique n° G-2016-35).
  - Costa, L. R., Aloise, D., & Mladenović, N. (2016). Less is more approach for balanced minimum sum-of-squares clustering. (Rapport technique n° G-2016-80).
  - Pyatkin, A., Aloise, D., & Mladenović, N. (2016). NP-hardness of balanced minimum sum-of-squares clustering. (Rapport technique n° G-2016-79).
  - Aloise, D., Damasceno, N. C., Mladenović, N., & Nobre Pinheiro, D. (2016). On strategies to fix degenerate k-means solutions. (Rapport technique n° G-2016-81).
- 2015
  - Santi, É., Aloise, D., & Blanchard, S. (2015). A model for clustering data from heterogeneous subjects. (Rapport technique n° G-2015-18).
  - Aloise, D., & Contardo, C. (2015). An iterative algorithm for the solution of very large-scale diameter clustering problems. (Rapport technique n° G-2015-140).
- 2011
  - Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (2011). Modularity Maximization in Networks by Variable Neighborhood Search. (Rapport technique n° G-2011-59).
  - Fernandes, I. F., Aloise, D., Aloise, D. J., Hansen, P., & Liberti, L. (2011). On the Weber Facility Location Problem with Limited Distances and Side Constraints. (Rapport technique n° G-2011-18).
- 2010
  - Hansen, P., Ruiz, M., & Aloise, D. (2010). A Variable Neighborhood Search Heuristic for Normalized Cut Clustering. (Rapport technique n° G-2010-48).
  - Aloise, D., Cafieri, S., Caporossi, G., Hansen, P., Liberti, L., & Perron, S. (2010). Column Generation Algorithms for Exact Modularity Maximization in Networks. (Rapport technique n° G-2010-36).
- 2009
  - Aloise, D., Hansen, P., & Liberti, L. (2009). An Improved Column Generation Algorithm for Minimum Sum-of-squares Clustering. (Rapport technique n° G-2009-25).
  - Aloise, D., & Ribeiro, C. C. (2009). Exploring Adaptive Memory and Vocabulary Building to Improve a Multistart Heuristic for a Multicommodity Network Design Problem. (Rapport technique n° G-2009-09).
- 2008
  - Aloise, D., & Hansen, P. (2008). A Branch-and-Cut SDP-Based Algorithm for Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2008-40).
  - Aloise, D., & Hansen, P. (2008). Clustering - A Chapter for Handbook of Discrete and Combinatorial Optimization. (Rapport technique n° G-2008-34).
  - Aloise, D., & Hansen, P. (2008). Evaluating a Branch-and-Bound RLT-Based Algorithm for Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2008-26).
  - Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2008). NP-Hardness of Euclidean Sum-of-Squares Clustering. (Rapport technique n° G-2008-33).
- 2007
  - Aloise, D., & Hansen, P. (2007). On the Complexity of Minimum Sum-of-Squares Clustering. (Rapport technique n° G-2007-50).
Thèses (1)
- 2009
  - Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering [Thèse de doctorat, École Polytechnique de Montréal].
Ensembles de données (2)
- 2023
  - Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Ensemble de données].
- 2022
  - Rodrigues, I. M., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An Alignment Method for Computing Stack Trace Similarity [Ensemble de données].

Répertoire des expertises

Aloise, Daniel

Répertoire des expertises

Aloise, Daniel

Vous êtes ici

Publications par type

Daniel Aloise (99)