Items where Author is "Angelov, P.P."

Journal Article

Gu, X. and Han, J. and Shen, Q. and Angelov, P.P. (2023) Autonomous learning for fuzzy systems : a review. Artificial Intelligence Review, 56 (8). pp. 7549-7595. ISSN 0269-2821

Pratama, M. and Lughofer, E. and Angelov, P.P. (2022) Editorial: Special issue on recent progress in autonomous machine learning. Information Sciences, 595. pp. 195-196. ISSN 0020-0255

Bezerra, C.G. and Costa, B.S.J. and Guedes, L.A. and Angelov, P.P. (2020) An evolving approach to data streams clustering based on typicality and eccentricity data analytics. Information Sciences, 518. pp. 13-28. ISSN 0020-0255

Contribution in Book/Report/Proceedings

Angelov, P.P. and Gu, X. (2019) Empirical Approach—Introduction. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence . Springer-Verlag, Cham, pp. 103-133. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Anomaly Detection—Empirical Approach. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence . Springer, Cham, pp. 157-173. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Applications of Autonomous Anomaly Detection. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 249-259. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Applications of Autonomous Data Partitioning. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 261-276. ISBN 9783030023836)

Angelov, P.P. and Gu, X. (2019) Applications of Autonomous Learning Multi-model Systems. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 277-293. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Applications of Deep Rule-Based Classifiers. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 295-319. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Applications of Semi-supervised Deep Rule-Based Classifiers. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 321-340. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Autonomous Learning Multi-model Systems. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 199-222. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Brief Introduction to Computational Intelligence. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 69-99. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Brief Introduction to Statistical Machine Learning. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 17-67. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Data Partitioning—Empirical Approach. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 175-198. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Empirical Fuzzy Sets and Systems. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 135-155. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Epilogue : Studies in Computational Intelligence. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 341-346. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Introduction. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 1-14. ISBN 9783030023836

Angelov, P.P. and Gu, X. (2019) Transparent Deep Rule-Based Classifiers. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence, 800 . Springer-Verlag, pp. 223-245. ISBN 9783030023836