Interpretability of Fuzzy Systems: Current Research Trends and Prospects JM Alonso, C Castiello, C Mencar Springer Handbook of Computational Intelligence, 219-237, 2015 | 145 | 2015 |
Meta-data: Characterization of input features for meta-learning C Castiello, G Castellano, AM Fanelli International Conference on Modeling Decisions for Artificial Intelligence …, 2005 | 135 | 2005 |
Interpretability assessment of fuzzy knowledge bases: A cointension based approach C Mencar, C Castiello, R Cannone, AM Fanelli International Journal of Approximate Reasoning 52 (4), 501-518, 2011 | 113 | 2011 |
A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field JM Alonso, C Castiello, C Mencar International Conference on Information Processing and Management of …, 2018 | 109 | 2018 |
Knowledge discovery by a neuro-fuzzy modeling framework G Castellano, C Castiello, AM Fanelli, C Mencar Fuzzy sets and Systems 149 (1), 187-207, 2005 | 82 | 2005 |
Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks G Castellano, C Castiello, C Mencar, G Vessio IEEE Access 8, 64534-64544, 2020 | 51 | 2020 |
Document page segmentation using neuro-fuzzy approach L Caponetti, C Castiello, P Górecki Applied Soft Computing 8 (1), 118-126, 2008 | 44 | 2008 |
Explainable Fuzzy Systems-Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems JM Alonso, C Castiello, L Magdalena, C Mencar Studies in Computational Intelligence, 2021 | 43 | 2021 |
Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks G Castellano, C Castiello, C Mencar, G Vessio International Conference on Current Trends in Theory and Practice of …, 2020 | 42 | 2020 |
Design of fuzzy rule-based classifiers with semantic cointension C Mencar, C Castiello, R Cannone, AM Fanelli Information Sciences 181 (20), 4361-4377, 2011 | 41 | 2011 |
Explainable Fuzzy Systems: Paving the way from Interpretable Fuzzy Systems to Explainable AI Systems JMA Moral, C Castiello, L Magdalena, C Mencar Springer, 2021 | 37* | 2021 |
A framework for intelligent Twitter data analysis with non-negative matrix factorization G Casalino, C Castiello, N Del Buono, C Mencar International Journal of Web Information Systems, 2018 | 37 | 2018 |
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results D Du, L Wen, P Zhu, H Fan, Q Hu, H Ling, M Shah, J Pan, A Al-Ali, ... European Conference on Computer Vision, 675-691, 2020 | 33 | 2020 |
Modeling Interpretable Fuzzy Rule-Based Classifiers for Medical Decision Support JM Alonso, C Castiello, M Lucarelli, C Mencar Medical applications of intelligent data analysis: Research advancements …, 2012 | 29 | 2012 |
Evolutionary neuro-fuzzy systems and applications G Castellano, C Castiello, A Fanelli, L Jain Advances in Evolutionary Computing for System Design, 11-45, 2007 | 29 | 2007 |
Design of strong fuzzy partitions from cuts C Mencar, M Lucarelli, C Castiello, AM Fanelli 8th conference of the European Society for Fuzzy Logic and Technology …, 2013 | 27 | 2013 |
Explainable AI Beer Style Classifier. JM Alonso, A Ramos-Soto, C Castiello, C Mencar SICSA ReaLX, 2018 | 25 | 2018 |
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment G Casalino, G Castellano, C Castiello, V Pasquadibisceglie, G Zaza International Workshop on Fuzzy Logic and Applications, 97-108, 2018 | 24 | 2018 |
Menti tribali. Perché le brave persone si dividono su politica e religione C CASTIELLO, M Cupellaro, P Marangon, M Rullo Codice edizioni, 2013 | 24 | 2013 |
Interpretable fuzzy partitioning of classified data with variable granularity C Castiello, AM Fanelli, M Lucarelli, C Mencar Applied Soft Computing 74, 567-582, 2019 | 23 | 2019 |