Directory of Experts

Aloise, Daniel

Directory of Experts

Aloise, Daniel

Directory of Experts

Publications by type

Journal article (41) Conference paper (19) Book Book chapter (2) Patent Report (36) Thesis (1) Dataset (3) Teaching resource Image Audio recording Video recording Other

Daniel Aloise (102)

Journal articles (41)
- 2025
  - 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.
  - 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.
  - 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.
  - 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.
Conference papers (19)
- 2024
  - 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).
  - 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).
- 2023
  - 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.
  - 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.
  - 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.
- 2022
  - 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, 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.
- 2021
  - 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.
- 2020
  - 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.
  - 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.
  - 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).
  - 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.
- 2019
  - 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.
  - 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.
  - 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.
- 2018
  - 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.
  - 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.
  - 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.
- 2012
  - 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).
Book chapters (2)
- 2024
  - 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).
- 2018
  - 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).
Reports (36)
- 2025
  - Willemsen, R., Aloise, D., & Jans, R. (2025). Accelerating Benders decomposition for the p-median problem through variable aggregation. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2022-31).
  - Ton, K., Aloise, D., & Contardo, C. (2022). On removing diverse data for training machine learning models. (Technical Report n° G-2022-38).
- 2021
  - Randel, R., Aloise, D., & Hertz, A. (2021). Exploring dual information in distance metric learning for clustering. (Technical Report 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. (Technical Report 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. (Technical Report n° 2020-28).
  - 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).
- 2019
  - 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).
  - Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Technical Report 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. (Technical Report n° G-2019-29).
- 2018
  - Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018). On the k-medoids model for semi-supervised clustering. (Technical Report 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. (Technical Report n° G-2017-30).
  - de Sousa Pessoa, B. J., Aloise, D., & dos Anjos Formiga Cabral, L. (2017). The carousel scheduling problem. (Technical Report n° G-2017-37).
- 2016
  - 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).
  - 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).
  - Pyatkin, A., Aloise, D., & Mladenović, N. (2016). NP-hardness of balanced minimum sum-of-squares clustering. (Technical Report n° G-2016-79).
  - 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).
- 2015
  - Santi, É., Aloise, D., & Blanchard, S. (2015). A model for clustering data from heterogeneous subjects. (Technical Report n° G-2015-18).
  - Aloise, D., & Contardo, C. (2015). An iterative algorithm for the solution of very large-scale diameter clustering problems. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2011-18).
- 2010
  - Hansen, P., Ruiz, M., & Aloise, D. (2010). A Variable Neighborhood Search Heuristic for Normalized Cut Clustering. (Technical Report 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. (Technical Report n° G-2010-36).
- 2009
  - Aloise, D., Hansen, P., & Liberti, L. (2009). An Improved Column Generation Algorithm for Minimum Sum-of-squares Clustering. (Technical Report 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. (Technical Report n° G-2009-09).
- 2008
  - Aloise, D., & Hansen, P. (2008). A Branch-and-Cut SDP-Based Algorithm for Minimum Sum-of-Squares Clustering. (Technical Report n° G-2008-40).
  - Aloise, D., & Hansen, P. (2008). Clustering - A Chapter for Handbook of Discrete and Combinatorial Optimization. (Technical Report n° G-2008-34).
  - 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).
  - Aloise, D., Deshpande, A., Hansen, P., & Popat, P. (2008). NP-Hardness of Euclidean Sum-of-Squares Clustering. (Technical Report n° G-2008-33).
- 2007
  - Aloise, D., & Hansen, P. (2007). On the Complexity of Minimum Sum-of-Squares Clustering. (Technical Report n° G-2007-50).
Theses (1)
- 2009
  - Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering [Ph.D. thesis, École Polytechnique de Montréal].
Datasets (3)
- 2025
  - 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].
- 2023
  - Fournier, Q., Aloise, D., & Costa, L. R. (2023). Language Models for Novelty Detection in Kernel Traces [Dataset].
- 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 [Dataset].

Directory of Experts

Aloise, Daniel

Directory of Experts

Aloise, Daniel

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Daniel Aloise (102)