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.

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).

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).

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).

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.

Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40.

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).

Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Ensemble de données].

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.

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).

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. (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. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582.

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).

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.

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.

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].

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.

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.

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).

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.

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.

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.

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).

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.

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).

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.

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.

Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Rapport technique n° G-2019-28).

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.

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).

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.

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. (2018). On the k-medoids model for semi-supervised clustering. (Rapport technique n° G-2018-23).

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.

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.

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).

de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131.

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.

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., 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).

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).

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. (2009). Exact algorithms for minimum sum-of-squares clustering [Thèse de doctorat, École Polytechnique de Montréal].

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).

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).