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Journal article (11) Conference paper (7) Book Book chapter (1) Patent Report Thesis (1)

Daniel Aloise (20)

  • Journal articles (11)
    • 2020
      • Journal article
        Silva, A., Aloise, D., Coelho, L.C. & Rocha, C. (2020). Heuristics for the dynamic facility location problem with modular capacities. European Journal of Operational Research, 46 pages. Retrieved from https://doi.org/10.1016/j.ejor.2020.08.018
    • 2018
      • Journal article
        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. Retrieved from https://doi.org/10.1016/j.endm.2018.03.004
      • Journal article
        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. Retrieved from https://doi.org/10.2298/yjor180120014g
      • Journal article
        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. Retrieved from https://doi.org/10.1007/s11227-018-2327-4
      • Journal article
        Pessoa, B.J.d.S., Aloise, D. & Cabral, L.A.F. (2018). The weighted fair sequences problem. Computers & Operations Research, 91, 121-131. Retrieved from https://doi.org/10.1016/j.cor.2017.11.008
    • 2017
      • Journal article
        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. Retrieved from https://doi.org/10.1111/itor.12468
      • Journal article
        Blanchard, S.J., Aloise, D. & DeSarbo, W.S. (2017). Extracting Summary Piles from Sorting Task Data. Journal of Marketing Research, 54(3), 398-414. Retrieved from https://doi.org/10.1509/jmr.15.0388
      • Journal article
        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. Retrieved from https://doi.org/10.1016/j.ins.2017.06.019
      • Journal article
        Pyatkin, A., Aloise, D. & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45. Retrieved from https://doi.org/10.1016/j.patrec.2017.05.033
      • Journal article
        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. Retrieved from https://doi.org/10.1007/s00357-017-9231-0
  • Conference papers (7)
    • 2020
      • Conference paper
        Pinheiro, D.N., Xavier-de-Souza, S. & Aloise, D. (2020). Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets. Paper presented at the IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2020), New Orleans, LA (pp. 426-429). Retrieved from https://doi.org/10.1109/IPDPSW50202.2020.00078
    • 2019
      • Conference paper
        Fournier, Q., Ezzati-Jivan, N., Aloise, D. & Dagenais, M.R. (2019). Automatic cause detection of performance problems in web applications. Paper presented at the 30th IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW 2019), Berlin, Germany (pp. 398-405). Retrieved from https://doi.org/10.1109/ISSREW.2019.00102
      • Conference paper
        Fournier, Q. & Aloise, D. (2019). Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods. Paper presented at the IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy (pp. 211-214). Retrieved from https://doi.org/10.1109/AIKE.2019.00044
      • Conference paper
        Randel, R., Aloise, D., Mladenovic, N. & Hansen, P. (2019). On the k-Medoids Model for Semi-supervised Clustering. Paper presented at the 6th International Conference on Variable Neighborhood Search (ICVNS 2018), Sithonia, Greece (pp. 13-27). Retrieved from https://doi.org/10.1007/978-3-030-15843-9_2
      • Conference paper
        Kohyarnejadfard, I., Shakeri, M. & Aloise, D. (2019). System performance anomaly detection using tracing data analysis. Paper presented at the 5th International Conference on Computer and Technology Applications (ICCTA 2019), Istanbul, Turkey (pp. 169-173). Retrieved from https://doi.org/10.1145/3323933.3324085
    • 2018
      • Conference paper
        Aloise, D. & Contardo, C. (2018). A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. Paper presented at the 13th Global Optimization Workshop (GOW 2016), Braga, Portugal. (Published in Journal of Global Optimization, 71(3), 613-630). Retrieved from https://doi.org/10.1007/s10898-018-0634-1
      • Conference paper
        Hulot, P., Aloise, D. & Jena, S.D. (2018). Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. Paper presented at the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, UK (pp. 378-386). Retrieved from https://doi.org/10.1145/3219819.3219873
  • Book chapters (1)
    • 2018
      • Book chapter
        Pereira, T., Aloise, D., Brimberg, J. & Mladenović, N. (2018). Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem. In P.M. Pardalos & A. Migdalas (Eds.), Open Problems in Optimization and Data Analysis (Vol. 141, pp. 249-270). Cham: Springer. Retrieved from https://doi.org/10.1007/978-3-319-99142-9_13
  • Theses (1)
    • 2009
      • Thesis
        Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering (Ph.D. Thesis, École Polytechnique de Montréal).