Paulo Quaresma; Renata Vieira; Sandra Aluísio; Helena Moniz; Fernando Batista; Teresa Gonçalves Springer Nature Switzerland AG (2020) Pehmeäkantinen kirja
Renata Vieira; Paulo Quaresma; Maria das Graças Volpe Nunes; Nuno J. Mamede; Cláudia Oliveira; Maria Carmelita Dias Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Pehmeäkantinen kirja
A. Joaquim da Silva Teixeira; Vera Lúcia Strube de Lima; Luís Caldas de Oliveira; Paulo Quaresma Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008) Pehmeäkantinen kirja
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023.
The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI.
The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
