• Empirical Approach to Machine Learning, authors: Angelov, Plamen Parvanov, Gu, Xiaowei, New efficient methods for pattern recognition and machine learning in data-rich environments.


• Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change, Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), November 22-24, 2017, Popayan, Colombia. Editors: Angelov, Plamen, Iglesias, Jose Antonio, Corrales, Juan Carlos.


• Proceedings of the International Neural Networks: Angelov, Plamen, Kozma, Robert, ISSN: 2661-8141.


• The Proceedings of the International Neural Networks Society INNS publishes research contributions on fundamental principles and applications related to neural networks and modeling behavioral and brain processes.


• Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II. Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change II (AACC'18), November 22-24, 2018, Cali, Colombia, Editors: Plamen Angelov, Jose Antonio Iglesias, and Juan Carlos Corrales.


• Advances in Physical Agents. Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain, Editors: Fuentetaja Pizan, R., Garcia Olaya, A., Sesmero Lorente, M.P., Iglesias, J.A., Ledezma Espino, A.

Published IEEE Press and John Wiley's books:

• P. Angelov, Autonomous Learning Systems: From Data Streams to Knowledge in Real Time, J Willey, IEEE Press series, Jan 2013, ISBN: 978-1-1199-5152-0.


• J. del R Millan, D. Filev, P. Angelov, A. Abraham, From 'Human in the Loop' to Autonomous Systems: Novel Approaches to Cybernetics, Proc. of CYBCONF-2013, IEEE Press, 264pp., June 2013.

Chapters in books:

• A.-I. Stinean, S. Preitl, R.-E. Precup, C.-A. Dragos and M.-B. Radac, Classical & Fuzzy Approaches to 2-DoF Control Solutions for BLDC-m Drives, in: Intel. Syst. Models and Applications, E. Pap, Ed., Topics in Intel. Eng. and Informatics, v. 3 (Springer-Verlag), pp.175-193, 2013.


• R.-E. Precup, F.-C. Enache, M.-B. Radac, E. M. Petriu, St. Preitl and C.-A. Dragos, Lead-Lag Controller-Based Iterative Learning Control Algorithms for 3D Crane Systems, in: Aspects of Computational Intelligence: Theory and Applications, L. Madarasz and Jivcak , Eds., Topics in Intelligent Engineering and Informatics, vol. 2 (Springer-Verlag), pp. 25-38, 2013.


• P. Angelov, J. Iglesias, Design and Tuning of Fuzzy Systems, In Ency-clopedia of Life Support Systems, Book on Computational Intelligence, (H. Ishibuchi, Ed.), commissioned by UNESCO, 2013.


• P. Angelov, I Skrjanc, S. Blazic, Self-learning Controllers, In Springer Handbook on Computational Intelligence, (O. Castillo and P. Melin, Eds.), 2013.