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2020 – today
- 2023
[j27]Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio
:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. Neurocomputing 526: 169-179 (2023)- [c62]Corrado Mencar, Ciro Castiello:
A Bayesian Interpretation of Fuzzy C-Means. EUSFLAT/AGOP 2023: 443-454 - [c61]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Semi-Supervised Fuzzy C-Means for Regression. IJCCI 2023: 369-375 - [i2]Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. CoRR abs/2301.04937 (2023) - 2022
- [j26]Jose Maria Alonso-Moral, Corrado Mencar, Hisao Ishibuchi:
Explainable and Trustworthy Artificial Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 17(1): 14-15 (2022) - [j25]Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Corrado Mencar:
Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference. Soft Comput. 26(14): 6519-6527 (2022) - [c60]Giovanna Castellano, Corrado Mencar, Gennaro Vessio:
Computer Vision Meets Drones: Our Research Experience. DP@AI*IA 2022: 48-54 - [c59]Giovanna Castellano, Corrado Mencar, Gaetano Sette, Francesco Saverio Troccoli, Gennaro Vessio:
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. IJCNN 2022: 1-8 - [c58]Corrado Mencar, Didier Dubois:
Connections Between Granular Counts and Twofold Fuzzy Sets. IPMU (2) 2022: 508-519 - [e1]Angelo Ciaramella, Corrado Mencar, Susana Montes, Stefano Rovetta:
Proceedings of WILF 2021, the 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), Vietri sul Mare, Italy, December 20-22, 2021. CEUR Workshop Proceedings 3074, CEUR-WS.org 2022 [contents] - 2021
- [c57]Sergio Caputo, Giovanna Castellano, Francesco Greco, Corrado Mencar, Niccolò Petti, Gennaro Vessio:
Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations. AI*IA 2021: 326-337 - [c56]Corrado Mencar, Ciro Castiello:
Descriptive Stability of Fuzzy Rule-Based Systems. FUZZ-IEEE 2021: 1-6 - [c55]Giovanni Acampora, Tiago da Cruz Asmus, Benjamín R. C. Bedregal, Humberto Bustince, Graçaliz Pereira Dimuro, Javier Fernández, Chin-Teng Lin, Giancarlo Lucca, Corrado Mencar, Radko Mesiar, José Antonio Sanz Delgado, Autilia Vitiello:
Highlights. WILF 2021 - [i1]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - 2020
- [j24]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks. IEEE Access 8: 64534-64544 (2020) - [j23]Corrado Mencar, Witold Pedrycz:
Granular counting of uncertain data. Fuzzy Sets Syst. 387: 108-126 (2020) - [j22]Corrado Mencar, Crescenzio Gallo, Marco Mantero, Paolo Tarsia, Giovanna E. Carpagnano, Maria P. Foschino Barbaro, Donato Lacedonia:
Application of machine learning to predict obstructive sleep apnea syndrome severity. Health Informatics J. 26(1) (2020) - [j21]Ciro Castiello, Corrado Mencar:
Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO. Int. J. Comput. Intell. Syst. 13(1): 1415-1428 (2020) - [c54]Giovanna Castellano, Ciro Castiello, Marco Cianciotta, Corrado Mencar, Gennaro Vessio:
Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images. ECCV Workshops (4) 2020: 588-603 - [c53]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c52]Corrado Mencar:
An Incremental Algorithm for Granular Counting with Possibility Theory. FUZZ-IEEE 2020: 1-7 - [c51]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. IJCNN 2020: 1-8 - [c50]Corrado Mencar:
Possibilistic Bounds for Granular Counting. IPMU (3) 2020: 27-40 - [c49]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks. SOFSEM 2020: 301-312
2010 – 2019
- 2019
- [j20]Ciro Castiello, Anna Maria Fanelli, Marco Lucarelli, Corrado Mencar:
Interpretable fuzzy partitioning of classified data with variable granularity. Appl. Soft Comput. 74: 567-582 (2019) - [j19]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering. Int. J. Artif. Intell. Tools 28(8): 1960009:1-1960009:26 (2019) - [c48]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering. EUSFLAT Conf. 2019 - [c47]Ciro Castiello, Corrado Mencar:
Exploiting Particle Swarm Optimization to Attune Strong Fuzzy Partitions Based on Cuts. EUSFLAT Conf. 2019 - [c46]Jesús Alcalá-Fdez, José Maria Alonso, Ciro Castiello, Corrado Mencar, José M. Soto-Hidalgo:
Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. FUZZ-IEEE 2019: 1-6 - [c45]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis. IV (1) 2019: 382-387 - 2018
- [j18]Francesca A. Lisi, Corrado Mencar:
A Granular Computing Method for OWL Ontologies. Fundam. Informaticae 159(1-2): 147-174 (2018) - [j17]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar:
A framework for intelligent Twitter data analysis with non-negative matrix factorization. Int. J. Web Inf. Syst. 14(3): 334-356 (2018) - [c44]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental adaptive semi-supervised fuzzy clustering for data stream classification. EAIS 2018: 1-7 - [c43]José Maria Alonso, Ciro Castiello, Corrado Mencar:
A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field. IPMU (1) 2018: 3-15 - [c42]José Maria Alonso, Alejandro Ramos-Soto, Ciro Castiello, Corrado Mencar:
Explainable AI Beer Style Classifier. SICSA ReaLX 2018 - [c41]Gabriella Casalino, Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
Enhancing the DISSFCM Algorithm for Data Stream Classification. WILF 2018: 109-122 - [c40]Corrado Mencar, José Maria Alonso:
Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling - Tutorial. WILF 2018: 215-227 - [c39]Corrado Mencar:
Looking at the Branches and Roots. WILF 2018: 249-252 - 2017
- [c38]José Maria Alonso, Corrado Mencar:
Building Cognitive Cities with Explainable Artificial Intelligent Systems. CEx@AI*IA 2017 - [c37]Ciro Castiello, Corrado Mencar, Marco Lucarelli, Franz Rothlauf:
Efficiency improvement of DC∗ through a Genetic Guidance. FUZZ-IEEE 2017: 1-6 - [c36]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar:
Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations. ICCSA (1) 2017: 188-202 - [c35]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Flavia Esposito, Corrado Mencar:
Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations. ICCSA (1) 2017: 203-216 - [c34]Francesca Alessandra Lisi, Corrado Mencar:
Introducing Fuzzy Quantification in OWL 2 Ontologies. ICTCS/CILC 2017: 321-325 - 2016
- [j16]Arianna Consiglio, Corrado Mencar, Giorgio Grillo, Flaviana Marzano, Mariano Francesco Caratozzolo, Sabino Liuni:
A fuzzy method for RNA-Seq differential expression analysis in presence of multireads. BMC Bioinform. 17(S-12): 95-110 (2016) - [c33]Francesca A. Lisi, Corrado Mencar:
A System for Fuzzy Granulation of OWL Ontologies. WILF 2016: 126-135 - 2015
- [c32]Arianna Consiglio, Corrado Mencar, Giorgio Grillo, Sabino Liuni:
Managing NGS Differential Expression Uncertainty with Fuzzy Sets. CIBB 2015: 42-53 - [c31]Francesca Alessandra Lisi, Corrado Mencar:
Towards fuzzy granulation in OWL ontologies. CILC 2015: 144-158 - [c30]Marco Lucarelli, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
Interpretable knowledge discovery from data with DC. IFSA-EUSFLAT 2015 - [p3]José Maria Alonso, Ciro Castiello, Corrado Mencar:
Interpretability of Fuzzy Systems: Current Research Trends and Prospects. Handbook of Computational Intelligence 2015: 219-237 - 2014
- [j15]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Subtractive clustering for seeding non-negative matrix factorizations. Inf. Sci. 257: 369-387 (2014) - [c29]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Part-Based Data Analysis with Masked Non-negative Matrix Factorization. ICCSA (6) 2014: 440-454 - 2013
- [j14]Piero Molino, Gianvito Pio, Corrado Mencar:
Fast Fuzzy Inference in Octave. Int. J. Comput. Intell. Syst. 6(2): 307-317 (2013) - [c28]Corrado Mencar, Marco Lucarelli, Ciro Castiello, Anna Maria Fanelli:
Design of Strong Fuzzy Partitions from Cuts. EUSFLAT Conf. 2013 - [c27]Marco Lucarelli, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
Automatic Design of Interpretable Fuzzy Partitions with Variable Granularity: An Experimental Comparison. ICAISC (1) 2013: 318-328 - [c26]Corrado Mencar:
Interpretability of Fuzzy Systems. WILF 2013: 22-35 - [c25]Marco Lucarelli, Corrado Mencar, Ciro Castiello, Anna Maria Fanelli:
A New Heuristic Function for DC. WILF 2013: 44-51 - 2011
- [j13]Corrado Mencar, Ciro Castiello, Raffaele Cannone, Anna Maria Fanelli:
Interpretability assessment of fuzzy knowledge bases: A cointension based approach. Int. J. Approx. Reason. 52(4): 501-518 (2011) - [j12]Corrado Mencar, Ciro Castiello, Raffaele Cannone, Anna Maria Fanelli:
Design of fuzzy rule-based classifiers with semantic cointension. Inf. Sci. 181(20): 4361-4377 (2011) - [c24]Raffaele Cannone, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
Assessment of semantic cointension of fuzzy rule-based classifiers in a medical context. ISDA 2011: 1353-1358 - [c23]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering. WILF 2011: 188-195 - [c22]Danilo Dell'Agnello, Anna Maria Fanelli, Corrado Mencar, Massimo Minervini:
Serendipitous Fuzzy Item Recommendation with ProfileMatcher. WILF 2011: 220-227 - 2010
- [j11]Giovanna Castellano, Ciro Castiello, Danilo Dell'Agnello, Anna Maria Fanelli, Corrado Mencar, Maria Alessandra Torsello:
Learning Fuzzy User Profiles for Resource Recommendation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(4): 389-410 (2010) - [c21]Raffaele Cannone, Ciro Castiello, Corrado Mencar, Anna Maria Fanelli:
Data-driven design of fuzzy classification rules with semantic cointension. FUZZ-IEEE 2010: 1-8 - [c20]Giovanna Castellano, Danilo Dell'Agnello, Anna Maria Fanelli, Corrado Mencar, Maria Alessandra Torsello:
A competitive learning strategy for adapting fuzzy user profiles. ISDA 2010: 959-964
2000 – 2009
- 2009
- [c19]Corrado Mencar, Ciro Castiello, Anna Maria Fanelli:
A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers. IFSA/EUSFLAT Conf. 2009: 339-344 - [c18]Danilo Dell'Agnello, Corrado Mencar, Anna Maria Fanelli:
Item Recommendation with Veristic and Possibilistic Metadata: A Preliminary Approach. ISDA 2009: 261-266 - [c17]Raffaele Cannone, Ciro Castiello, Corrado Mencar, Anna Maria Fanelli:
A Study on Interpretability Conditions for Fuzzy Rule-Based Classifiers. ISDA 2009: 438-443 - [c16]Corrado Mencar, Maria Alessandra Torsello, Danilo Dell'Agnello, Giovanna Castellano, Ciro Castiello:
Modeling User Preferences through Adaptive Fuzzy Profiles. ISDA 2009: 1031-1036 - [c15]Corrado Mencar, Ciro Castiello, Anna Maria Fanelli:
Interpretability Assessment of Fuzzy Rule-Based Classifiers. WILF 2009: 155-162 - [p2]Corrado Mencar:
Interpretability of Fuzzy Information Granules. Human-Centric Information Processing Through Granular Modelling 2009: 95-118 - [p1]Corrado Mencar, Ciro Castiello, Danilo Dell'Agnello, Anna Maria Fanelli:
A System for Fuzzy Items Recommendation. Web Personalization in Intelligent Environments 2009: 119-140 - 2008
- [j10]Corrado Mencar, Anna Maria Fanelli:
Interpretability constraints for fuzzy information granulation. Inf. Sci. 178(24): 4585-4618 (2008) - [c14]Corrado Mencar, Anna Maria Fanelli, Michele Chieco:
A Neural Network for Water Level Prediction in Artesian Wells. CIMCA/IAWTIC/ISE 2008: 686-691 - [c13]Corrado Mencar, Ciro Castiello, Anna Maria Fanelli:
A Profile Modelling Approach for E-Learning Systems. ICCSA (2) 2008: 275-290 - [c12]Corrado Mencar, Ciro Castiello, Anna Maria Fanelli:
Fuzzy User Profiling in e-Learning Contexts. KES (2) 2008: 230-237 - 2007
- [j9]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
On the Role of Interpretability in Fuzzy Data Mining. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 521-537 (2007) - [j8]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
Distinguishability quantification of fuzzy sets. Inf. Sci. 177(1): 130-149 (2007) - [c11]Corrado Mencar, Arianna Consiglio, Anna Maria Fanelli:
DCg: Interpretable Granulation of Data through GA-based Double Clustering. FUZZ-IEEE 2007: 1-6 - [c10]Corrado Mencar, Arianna Consiglio, Anna Maria Fanelli:
Interpretable Granulation of Medical Data with DC. HIS 2007: 162-167 - [c9]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar, Maria Alessandra Torsello:
Similarity-Based Fuzzy Clustering for User Profiling. Web Intelligence/IAT Workshops 2007: 75-78 - [c8]Corrado Mencar, Arianna Consiglio, Giovanna Castellano, Anna Maria Fanelli:
Improving the Classification Ability of DC* Algorithm. WILF 2007: 145-151 - 2006
- [j7]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
Interface optimality in fuzzy inference systems. Int. J. Approx. Reason. 41(2): 128-145 (2006) - [c7]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation. FUZZ-IEEE 2006: 2157-2163 - 2005
- [j6]Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
Knowledge discovery by a neuro-fuzzy modeling framework. Fuzzy Sets Syst. 149(1): 187-207 (2005) - [j5]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
Deriving prediction intervals for neuro-fuzzy networks. Math. Comput. Model. 42(7-8): 719-726 (2005) - [c6]Corrado Mencar, Giovanna Castellano, Anna Maria Fanelli:
Some Fundamental Interpretability Issues in Fuzzy Modeling. EUSFLAT Conf. 2005: 100-105 - [c5]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
DCf: a double clustering framework for fuzzy information granulation. GrC 2005: 397-400 - 2004
- [b1]Corrado Mencar:
Theory of fuzzy information granulation. University of Bari, Italy, 2004 - [j4]Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
A neuro-fuzzy methodology for predicting industrial discarded material properties. Intelligenza Artificiale 1(3): 27-33 (2004) - [j3]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
An empirical risk functional to improve learning in a neuro-fuzzy classifier. IEEE Trans. Syst. Man Cybern. Part B 34(1): 725-731 (2004) - 2003
- [j2]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
Fuzzy Information Granules: a Compact, Transparent and Efficient Representation. J. Adv. Comput. Intell. Intell. Informatics 7(2): 160-168 (2003) - [c4]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
Design of Transparent Mamdani Fuzzy Inference Systems. HIS 2003: 468-477 - [c3]Giovanna Castellano, Ciro Castiello, Anna Maria Fanelli, Corrado Mencar:
Discovering Prediction Rules by a Neuro-fuzzy Modeling Framework. KES 2003: 1242-1248 - [c2]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
A fuzzy clustering approach for mining diagnostic rules. SMC 2003: 2007-2012 - [c1]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
Bi-monotonic Fuzzy Sets Lead to Optimal Fuzzy Interfaces. WILF 2003: 39-45 - 2002
- [j1]Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
A neuro-fuzzy network to generate human-understandable knowledge from data. Cogn. Syst. Res. 3(2): 125-144 (2002)
Coauthor Index
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