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Items where Author is "Aloise, Daniel"

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Number of items: 43.


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., 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. (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


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


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). 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. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Cahiers du Gerad, 2021(09), 33 pages. 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. Cahiers du Gerad, 2020(28), 30 pages. 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


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


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


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


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


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, 469-505. 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. 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 (249-270). External link

Pessoa, B. J. S., Aloise, D., & Cabral, L. A. F. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131. 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


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). Restricted access

Rocha, C., Pessoa, B. J. S., Aloise, D., & Cabral, L. A. (2022). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 16 pages. External link

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

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. Empirical Software Engineering, 27(2), 41 pages. 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

Randel, R., Aloise, D., & Hertz, A. (2021). Exploring dual information in distance metric learning for clustering. (Technical Report n° G-2021-32). External link

Rodrigues, I. M., Aloise, D., Fernandes, E. R., & Dagenais, M. (2020, June). A Soft Alignment Model for Bug Deduplication [Paper]. 17th IEEE/ACM International Conference on Mining Software Repositories (MSR 2020). External link

Randel, R., Aloise, D., Mladenovic, 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


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

List generated on: Fri Jun 9 06:33:28 2023 EDT