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
TI  - Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I 
T2  - Information Systems and Applications, incl. Internet/Web, and HCI
SN  - 9783030954673
U1  - 005.3 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Application software
KW  - Computer and Information Systems Applications
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/10.1007/978-3-030-95467-3
ER  -