TY - GEN N2 - This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. DO - 10.1007/978-3-030-95470-3 DO - doi AB - This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. T1 - Machine learning, optimization, and data science :7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised selected papers. DA - 2022. CY - Cham : AU - Nicosia, Giuseppe. AU - Ojha, Varun. AU - La Malfa, Emanuele. AU - La Malfa, Gabriele. AU - Jansen, Giorgio. AU - Pardalos, P. M. AU - Giuffrida, Giovanni. AU - Umeton, Renato. VL - 13164 CN - Q325.5 PB - Springer, PP - Cham : PY - 2022. N1 - Includes author index. ID - 1444547 KW - Machine learning KW - Mathematical optimization KW - Big data KW - Apprentissage automatique KW - Optimisation mathématique KW - Données volumineuses SN - 9783030954703 SN - 3030954706 TI - Machine learning, optimization, and data science :7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised selected papers. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95470-3 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95470-3 ER -