Author:
Zito Francesco,Cutello Vincenzo,Pavone Mario
Publisher
Springer International Publishing
Reference22 articles.
1. Akay, B., Karaboga, D., Akay, R.: A comprehensive survey on optimizing deep learning models by metaheuristics. Artif. Intell. Rev. 55(2), 829–894 (2022). https://doi.org/10.1007/s10462-021-09992-0
2. Almu, A., Bello, Z.: An experimental study on the accuracy and efficiency of some similarity measures for collaborative filtering recommender systems (2021). https://oer.udusok.edu.ng/xmlui/handle/123456789/948
3. Bengio, Y., Lodi, A., Prouvost, A.: Machine learning for combinatorial optimization: a methodological tour d’Horizon. Eur. J. Oper. Res. 290(2), 405–421 (2021). https://doi.org/10.1016/j.ejor.2020.07.063. https://www.sciencedirect.com/science/article/pii/S0377221720306895
4. Bianchi, L., Dorigo, M., Gambardella, L.M., Gutjahr, W.J.: A survey on metaheuristics for stochastic combinatorial optimization. Nat. Comput. 8(2), 239–287 (2009). https://doi.org/10.1007/s11047-008-9098-4
5. Bibaeva, V.: Using metaheuristics for hyper-parameter optimization of convolutional neural networks. In: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1–6 (2018). https://doi.org/10.1109/MLSP.2018.8516989
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