<  Back to the Polytechnique Montréal portal

Items where Author is "Aloise, Daniel"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Jump to: A | B | C | D | F | G | H | J | K | L | M | N | O | P | R | S | T | W
Number of items: 103.

A

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

B

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

C

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. External link

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

D

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

F

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

G

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

H

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

J

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

K

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

L

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

M

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

N

Nobre Pinheiro, D., Aloise, D., & Blanchard, S. (2019). Convex fuzzy k-medoids clustering. (Technical Report n° G-2019-28). External link

O

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

P

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

R

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

S

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

T

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

W

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

List generated on: Fri Jul 11 17:20:15 2025 EDT