| An approach to online identification of Takagi-Sugeno fuzzy models PP Angelov, DP Filev IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 1241 | 2004 |
| Explainable artificial intelligence: an analytical review PP Angelov, EA Soares, R Jiang, NI Arnold, PM Atkinson Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (5 …, 2021 | 593 | 2021 |
| SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification E Soares, P Angelov, S Biaso, MH Froes, DK Abe MedRxiv, 2020.04. 24.20078584, 2020 | 545 | 2020 |
| Evolving fuzzy-rule-based classifiers from data streams PP Angelov, X Zhou Ieee transactions on fuzzy systems 16 (6), 1462-1475, 2008 | 449 | 2008 |
| Optimization in an intuitionistic fuzzy environment PP Angelov Fuzzy sets and Systems 86 (3), 299-306, 1997 | 429 | 1997 |
| Evolving intelligent systems: methodology and applications P Angelov, DP Filev, N Kasabov John Wiley & Sons, 2010 | 398 | 2010 |
| Evolving rule-based models: a tool for design of flexible adaptive systems PP Angelov Springer Science & Business Media, 2002 | 357 | 2002 |
| Towards explainable deep neural networks (xDNN) P Angelov, E Soares Neural Networks 130, 185-194, 2020 | 312 | 2020 |
| Simpl_eTS: A simplified method for learning evolving Takagi-Sugeno fuzzy models P Angelov, D Filev The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ'05 …, 2005 | 312 | 2005 |
| Autonomous learning systems: from data streams to knowledge in real-time P Angelov John Wiley & Sons, 2012 | 297 | 2012 |
| Evolving fuzzy systems from Data Streams in Real-time P Angelov, X Zhou 2006 International Symposium on Evolving Fuzzy Systems, 29-35, 2006 | 287 | 2006 |
| Evolving Fuzzy Systems from Data Streams in Real-time P Angelov, X Zhou International Symposium on Evolving Fuzzy Systems, 29-35, 2006 | 287 | 2006 |
| PANFIS: A novel incremental learning machine M Pratama, SG Anavatti, PP Angelov, E Lughofer IEEE Transactions on Neural Networks and Learning Systems 25 (1), 55-68, 2013 | 280 | 2013 |
| Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives J Trevisan, PP Angelov, PL Carmichael, AD Scott, FL Martin Analyst 137 (14), 3202-3215, 2012 | 273 | 2012 |
| Evolving fuzzy classifiers using different model architectures P Angelov, E Lughofer, X Zhou Fuzzy sets and systems 159 (23), 3160-3182, 2008 | 230 | 2008 |
| Evolving takagi-sugeno fuzzy systems from streaming data (eTS+) P Angelov Evolving intelligent systems: methodology and applications 12, 21, 2010 | 229 | 2010 |
| A new type of simplified fuzzy rule-based system P Angelov, R Yager International Journal of General Systems 41 (2), 163-185, 2012 | 214 | 2012 |
| Handling drifts and shifts in on-line data streams with evolving fuzzy systems E Lughofer, P Angelov Applied Soft Computing 11 (2), 2057-2068, 2011 | 205 | 2011 |
| An overview on fault diagnosis and nature-inspired optimal control of industrial process applications RE Precup, P Angelov, BSJ Costa, M Sayed-Mouchaweh Computers in Industry 74, 75-94, 2015 | 201 | 2015 |
| An approach for fuzzy rule-base adaptation using on-line clustering P Angelov International Journal of Approximate Reasoning 35 (3), 275-289, 2004 | 200 | 2004 |
