TY  - GEN
N2  - This book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022. The 43 full papers and 0 short papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep learning; evolutionary computation; HAIS applications; image and speech signal processing; and optimization techniques.
DO  - 10.1007/978-3-031-15471-3
DO  - doi
AB  - This book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022. The 43 full papers and 0 short papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep learning; evolutionary computation; HAIS applications; image and speech signal processing; and optimization techniques.
T1  - Hybrid artificial intelligent systems :17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings /
AU  - García Bringas, Pablo,
AU  - Pérez García, Hilde,
AU  - Martínez de Pisón, Francisco Javier,
AU  - Villar Flecha, José Ramón,
AU  - Troncoso Lora, Alicia,
AU  - Cal, Enrique A. de la,
AU  - Herrero, Alvaro,
AU  - Martínez-Alvarez, Francisco
AU  - Psaila, Giuseppe,
AU  - Quintián, Héctor,
AU  - Corchado, Emilio,
VL  - 13469
CN  - Q334
N1  - Includes author index.
ID  - 1449481
KW  - Artificial intelligence
KW  - Artificial intelligence
KW  - Artificial intelligence
SN  - 9783031154713
SN  - 3031154711
TI  - Hybrid artificial intelligent systems :17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15471-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15471-3
ER  -