TY - BOOK AU - Nicosia,Giuseppe AU - Ojha,Varun AU - La Malfa,Emanuele AU - La Malfa,Gabriele AU - Jansen,Giorgio AU - Pardalos,Panos M. AU - Giuffrida,Giovanni AU - Umeton,Renato ED - SpringerLink (Online service) TI - Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part II T2 - Information Systems and Applications, incl. Internet/Web, and HCI, SN - 9783030954703 AV - Q334-342 PY - 2022/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Artificial intelligence KW - Algorithms KW - Application software KW - Numerical analysis KW - Computer networks  KW - Social sciences KW - Data processing KW - Artificial Intelligence KW - Design and Analysis of Algorithms KW - Computer and Information Systems Applications KW - Numerical Analysis KW - Computer Communication Networks KW - Computer Application in Social and Behavioral Sciences N1 - Deep Learning -- Machine Learning -- Reinforcement Learning -- Neural Networks -- Deep Reinforcement Learning -- Optimization -- Global Optimization -- Multi-Objective Optimization -- Computational Optimization -- Data Science -- Big Data -- Data Analytics -- Artificial Intelligence 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 UR - https://doi.org/10.1007/978-3-030-95470-3 ER -