Items where Author is "Angelov, Plamen P."

Journal Article

Gu, Xiaowei and Angelov, Plamen P. (2022) Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. IEEE Transactions on Fuzzy Systems, 30 (9). pp. 3722-3735. ISSN 1063-6706

Baisa, Nathanael L. and Williams, Bryan M. and Rahmani, Hossein and Angelov, Plamen P. and Black, Sue (2021) Multi-Branch with Attention Network for Hand-Based Person Recognition. arXiv, abs/21.

Huang, J. and Angelov, Plamen P. and Yin, C. (2020) Interpretable policies for reinforcement learning by empirical fuzzy sets. Engineering Applications of Artificial Intelligence, 91: 103559. ISSN 0952-1976

Pratama, Mahardhika and Angelov, Plamen P. and Lughofer, Edwin and Joo Er, Meng (2018) Parsimonious random vector functional link network for data streams. Information Sciences, 430-43. pp. 519-537. ISSN 0020-0255

Pratama, Mahardhika and Angelov, Plamen P. and Lughofer, Edwin and Joo Er, Meng (2018) Parsimonious Random Vector Functional Link Network for Data Streams. Information Sciences, 430-43. pp. 519-537. ISSN 0020-0255

Trevisan, Júlio and Angelov, Plamen P. and Scott, Andrew D. and Carmichael, Paul L. and Martin, Francis L. (2013) IRootLab : A free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis. Bioinformatics, 29 (8). pp. 1095-1097. ISSN 1367-4803

Trevisan, Julio and Angelov, Plamen P. and Carmichael, Paul L. and Scott, Andrew and Martin, Francis L. (2012) Advances in Fourier-transform infrared spectroscopy analysis to characterise chemical-induced alterations in the Syrian hamster embryo assay-towards biomarkers stability. Mutagenesis, 27 (6). p. 792. ISSN 0267-8357

Trevisan, Julio and Angelov, Plamen P. and Carmichael, Paul L. and Scott, Andrew D. and Martin, Francis L. (2012) Designing open, multi-class computational strategies to classify infrared spectroscopy data derived from the Syrian hamster embryo (SHE) assay. Mutagenesis, 27 (1). p. 111. ISSN 0267-8357

Kerns, Jemma and Angelov, Plamen P. and Trevisan, Júlio and Vlachopoulou, Anastasia and Paraskevaidis, Evangelos and Martin-Hirsch, Pierre L. and Martin, Francis L. (2010) Robust classification of low-grade cervical cytology following analysis with ATR-FTIR spectroscopy and subsequent application of self-learning classifier eClass. Analytical and Bioanalytical Chemistry, 398 (5). pp. 2191-2201. ISSN 1618-2642

Trevisan, Julio and Angelov, Plamen P. and Patel, Imran I. and Najand, Ghazel M. and Cheung, Karen T. and Llabjani, Valon and Pollock, Hubert M. and Bruce, Shannon W. and Pant, Kamala and Carmichael, Paul M. and Scott, Andrew D. and Martin, Francis L. (2010) Syrian hamster embryo (SHE) assay (pH 6.7) coupled with infrared spectroscopy and chemometrics towards toxicological assessment. Analyst, 135 (12). pp. 3266-3272. ISSN 0003-2654

Trevisan, Julio and Angelov, Plamen P. and Carmichael, Paul L. and Scott, Andrew D. and Martin, Francis L. (2010) A mathematical framework for spectroscopy data analysis to characterize chemical-induced alterations in the SHE assay. Mutagenesis, 25 (6). p. 658. ISSN 0267-8357

Kelly, Jemma G. and Angelov, Plamen P. and Walsh, Michael J. and Pollock, Hubert M. and Pitt, M. A. and Martin-Hirsch, Pierre L. and Martin, Frank L. (2008) A Self-Learning Fuzzy Classifier with Feature Selection for Intelligent interrogation of mid-IR spectroscopy data from exfoliative cervical cytology using selflearning classifier eClass. International Journal of Computational Intelligence Research, 4 (4). pp. 392-401. ISSN 0973-1873

Contribution in Book/Report/Proceedings

Gu, Xiaowei and Angelov, Plamen P. (2022) A multistream deep rule-based ensemble system for aerial image scene classification. In: Deep Learning, Intelligent Control and Evolutionary Computation :. World Scientific Publishing Co., pp. 661-695. ISBN 9789811245145

Moran, Alejandro and Canals, Vincent and Angelov, Plamen P. and Frasser, Christian F. and Skibinsky-Gitlin, Erik S. and Font, Joan and Isern, Eugeni and Roca, Miquel and Rossello, Josep L. (2021) Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. In: 36th Conference on Design of Circuits and Integrated Systems, DCIS 2021 :. 36th Conference on Design of Circuits and Integrated Systems, DCIS 2021 . IEEE, pp. 1-6. ISBN 9781665421164

Angelov, Plamen P. and Gu, Xiaowei (2019) Preface. In: Empirical Approach to Machine Learning :. Studies in Computational Intelligence . Springer, Cham, xv-xviii. ISBN 9783030023836

Ali, Azman and Hutchison, David and Angelov, Plamen P. and Smith, Paul (2013) Adaptive resilience for computer networks: Using online fuzzy learning. In: 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems :. IEEE, pp. 772-778. ISBN 978-1-4673-2016-0