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Daniel AloiseDepartment of Computer Engineering and Software Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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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, 326(3), 413-426. External link
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. (Technical Report n° G-2024-47). External link
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. Available
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. External link
Aloise, D., Damasceno, N. C., Mladenović, N., & Nobre Pinheiro, D. (2016). On strategies to fix degenerate k-means solutions. (Technical Report n° G-2016-81). External link
Aloise, D., & Contardo, C. (2015). An iterative algorithm for the solution of very large-scale diameter clustering problems. (Technical Report n° G-2015-140). External link
Aloise, D., Hansen, P., Rocha, C., & Santi, É. (2014). Column generation bounds for numerical microaggregation. Journal of Global Optimization, 60(2), 165-182. External link
Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (2012, February). Modularity maximization in networks by variable neighborhood search [Paper]. 10th DIMACS Implementation Challenge Workshop, Atlanta, GA, USA (14 pages). External link
Aloise, D., Hansen, P., & Liberti, L. (2012). An improved column generation algorithm for minimum sum-of-squares clustering. Mathematical Programming, 131(1), 195-220. External link
Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., & Ruiz, M. (2011). Modularity Maximization in Networks by Variable Neighborhood Search. (Technical Report n° G-2011-59). External link
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. External link
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). External link
Aloise, D., Cafieri, S., Caporossi, G., Hansen, P., Liberti, L., & Perron, S. (2010). Column Generation Algorithms for Exact Modularity Maximization in Networks. (Technical Report n° G-2010-36). External link
Aloise, D., & Hansen, P. (2009). A branch-and-cut SDP-based algorithm for minimum sum-of-squares clustering. Pesquisa Operacional, 29(3), 503-516. Available
Aloise, D., Hansen, P., & Liberti, L. (2009). An Improved Column Generation Algorithm for Minimum Sum-of-squares Clustering. (Technical Report n° G-2009-25). External link
Aloise, D., & Ribeiro, C. C. (2009). Exploring Adaptive Memory and Vocabulary Building to Improve a Multistart Heuristic for a Multicommodity Network Design Problem. (Technical Report n° G-2009-09). External link
Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering [Ph.D. thesis, École Polytechnique de Montréal]. Available
Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2009). NP-hardness of Euclidean sum-of-squares clustering. Machine Learning, 75(2), 245-248. External link
Aloise, D., & Hansen, P. (2008). A Branch-and-Cut SDP-Based Algorithm for Minimum Sum-of-Squares Clustering. (Technical Report n° G-2008-40). External link
Aloise, D., & Hansen, P. (2008). Clustering - A Chapter for Handbook of Discrete and Combinatorial Optimization. (Technical Report n° G-2008-34). External link
Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2008). NP-Hardness of Euclidean Sum-of-Squares Clustering. (Technical Report n° G-2008-33). External link
Aloise, D., & Hansen, P. (2008). Evaluating a Branch-and-Bound RLT-Based Algorithm for Minimum Sum-of-Squares Clustering. (Technical Report n° G-2008-26). External link
Aloise, D., & Hansen, P. (2007). On the Complexity of Minimum Sum-of-Squares Clustering. (Technical Report n° G-2007-50). External link
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. External link
Boucaud, L., Saunier, N., & Aloise, D. (2020, December). Soft attention: does it actually help to learn social interactions in pedestrian trajectory prediction? [Paper]. Advances in Neural Information Processing Systems 33 (NIPS 2020). External link
Blanchard, S. J., Aloise, D., & DeSarbo, W. S. (2017). Extracting Summary Piles from Sorting Task Data. Journal of Marketing Research, 54(3), 398-414. External link
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, 124, 105503 (22 pages). Available
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. Available
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. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022, May). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Paper]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. (Technical Report n° 2021-09). External link
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. External link
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. (Technical Report n° 2020-28). External link
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. External link
Costa, L. R., Aloise, D., & Mladenović, N. (2016). Less is more approach for balanced minimum sum-of-squares clustering. (Technical Report n° G-2016-80). External link
da Costa Silva, A. F., Aloise, D., Coelho, L. C., & Rocha, C. (2019). Heuristics for the dynamic facility location problem with modular capacities. (Technical Report n° G-2019-29). External link
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. External link
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. External link
de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131. External link
de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2017). The carousel scheduling problem. (Technical Report n° G-2017-37). External link
Džamić, D., Aloise, D., & Mladenović, N. (2016). Ascent — Descent Variable Neighborhood Decomposition search for community detection by modularity maximization. (Technical Report n° G-2016-35). External link
Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Dataset]. External link
Fournier, Q., Caron, G. M., & Aloise, D. (2023). A Practical Survey on Faster and Lighter Transformers. ACM Computing Surveys, 55(14s), 1-40. External link
Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (2021, May). On improving deep learning trace analysis with system call arguments [Paper]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain. External link
Fournier, Q., Ezzati-Jivan, N., Aloise, D., & Dagenais, M. (2019, October). Automatic cause detection of performance problems in web applications [Paper]. 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany. External link
Fournier, Q., & Aloise, D. (2019, June). Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods [Paper]. IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy. External link
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. External link
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. (Technical Report n° G-2011-18). External link
Gomes Ferreira Bertalan, V., & Aloise, D. (2023, October). Using Transformer Models and Textual Analysis for Log Parsing [Paper]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. External link
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). External link
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. Available
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. External link
Haouas, M. N., Aloise, D., & Pesant, G. (2020, September). An exact CP approach for the cardinality-constrained euclidean minimum sum-of-squares clustering problem [Paper]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. Available
Hulot, P., Aloise, D., & Jena, S. D. (2018, August). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems [Paper]. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK. External link
Hansen, P., Ruiz, M., & Aloise, D. (2010). A Variable Neighborhood Search Heuristic for Normalized Cut Clustering. (Technical Report n° G-2010-48). External link
Jeske, M., Aloise, D., Sanso, B., & Nascimento, M. C. V. (2025). Enhancing Reference Signal Received Power Prediction Accuracy in Wireless Outdoor Settings: A Comprehensive Feature Importance Study. IEEE Transactions on Antennas and Propagation, 16 pages. External link
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. Available
Jeske, M., Nascimento, M. C. V., Aloise, D., & Sanso, B. (2023, November). Path loss prediction for mesh networks in a real urban environment using machine learning [Presentation]. In Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Published in Anais do Simpósio Brasileiro de Pesquisa Operacional, 55. External link
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. External link
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). External link
Kohyarnejadfard, I., Shakeri, M., & Aloise, D. (2019, April). System performance anomaly detection using tracing data analysis [Paper]. 5th International Conference on Computer and Technology Applications (ICCTA 2019), Istanbul, Turkey. External link
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. External link
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). Available
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). Available
Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. (Technical Report n° G-2023-30). External link
Martins Silva, M. C., Aloise, D., & Jena, S. D. (2023). Towards effective rebalancing of bike-sharing systems with regular and electric bikes. (Technical Report n° G-2023-31). External link
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. Available
Moins, T., Aloise, D., & Blanchard, S. J. (2020, September). RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues [Paper]. 14th ACM Conference on Recommender Systems (RecSys 2020). External link
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. External link
Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Technical Report n° G-2019-28). External link
Okano, E. Y., Aloise, D., & Nascimento, M. C. V. (2024, November). Topological Analysis of Graphs for Comparing Sets of Time Series: A Case Study with Hospital Data [Paper]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Published in Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). External link
Pereira, J. H. A., Pessoa, B. J. S., Rocha, C., & Aloise, D. (2024, November). Meta-heurística vns aplicada a um problema de sequenciamento justo [Paper]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Published in Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). External link
Pereira, T. C., Aloise, D., & Rancourt, M.-E. (2024). HurricaneLog : a serious game for data colletion and analysis of hurricane preparedness and response operations. (Technical Report n° CIRRELT-2024-36). External link
Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Technical Report n° G-2022-31). External link
Pinheiro, D. N., Aloise, D., & Blanchard, S. J. (2020). Convex fuzzy k-medoids clustering. Fuzzy Sets and Systems, 389, 66-92. External link
Pinheiro, D. N., Xavier-de-Souza, S., & Aloise, D. (2020, May). Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets [Paper]. IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2020), New Orleans, LA, USA. External link
Pessoa, B. J. S., Cabral, L. A. F., & Aloise, D. (2018, August). Meta-heurística híbrida aplicada ao Problema das Sequências Justas Ponderadas [Paper]. Simpósio Brasileiro de Pesquisa Operacional, Rio de Janeiro, Brazil (12 pages). Published in Anais do Simpósio Brasileiro de Pesquisa Operacional. External link
Pereira, T., Aloise, D., Brimberg, J., & Mladenović, N. (2018). Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem. In Pardalos, P. M., & Migdalas, A. (eds.), Open Problems in Optimization and Data Analysis (Vol. 141, pp. 249-270). External link
Pyatkin, A., Aloise, D., & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45. External link
Pyatkin, A., Aloise, D., & Mladenović, N. (2016). NP-hardness of balanced minimum sum-of-squares clustering. (Technical Report n° G-2016-79). External link
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. External link
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. (Technical Report n° G-2023-61). External link
Randel, R., Aloise, D., & Hertz, A. (2023, April). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Paper]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA. External link
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. (Technical Report n° G-2022-05). External link
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 [Dataset]. External link
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). Available
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. External link
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. Available
Rey, M., Aloise, D., Soumis, F., & Pieugueu, R. (2021). A data-driven model for safety risk identification from flight data analysis. Transportation Engineering, 5, 100087 (8 pages). Available
Randel, R., Aloise, D., & Hertz, A. (2021). Exploring dual information in distance metric learning for clustering. (Technical Report n° G-2021-32). External link
Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2020). Visual attractiveness in vehicle routing via bi-objective optimization. (Technical Report n° G-2020-65). External link
Rodrigues, I. M., Aloise, D., Fernandes, E. R., & Dagenais, M. (2020, June). A soft alignment model for bug deduplication [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link
Randel, R., Aloise, D., Blanchard, S., & Hertz, A. (2019). A Lagrangian-based score for assessing the quality of pairwise constraints in SSC. (Technical Report n° G-2019-96). External link
Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018, October). On the k-Medoids Model for Semi-supervised Clustering [Paper]. 6th International Conference on Variable Neighborhood Search (ICVNS 2018), Sithonia, Greece. External link
Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018). On the k-medoids model for semi-supervised clustering. (Technical Report n° G-2018-23). External link
Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2017). A bi-objective vehicle routing problem integrating routing operations into tactical clustering decisions. (Technical Report n° G-2017-30). External link
Sudoso, A. M., & Aloise, D. (2025). A Column Generation Algorithm with Dynamic Constraint Aggregation for Minimum Sum-of-Squares Clustering. INFORMS journal on computing, 16 pages. External link
Sudoso, A. M., & Aloise, D. (2025). Code and Data Repository for A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering [Dataset]. External link
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. External link
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. External link
Santi, É., Aloise, D., & Blanchard, S. (2015). A model for clustering data from heterogeneous subjects. (Technical Report n° G-2015-18). External link
Ton, K. T., Aloise, D., & Contardo, C. (2024). On Removing Diverse Data for Training Machine Learning Models. In Rassias, T. M., & Pardalos, P. M. (eds.), Mathematical Analysis, Differential Equations and Applications (Vol. 11, pp. 761-783). External link
Ton, K., Aloise, D., & Contardo, C. (2022). On removing diverse data for training machine learning models. (Technical Report n° G-2022-38). External link
Willemsen, R., Aloise, D., & Jans, R. (2025). Accelerating Benders decomposition for the p-median problem through variable aggregation. (Technical Report n° G-2025-27). External link
Yoshiaki Okano, E., Aloise, D., & Nascimento, M. C. V. (2026). An analytics framework for graph-based anomaly detection in healthcare time series. Healthcare Analytics, 100447. External link
