A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera IEEE Transactions on Fuzzy systems 21 (1), 45-65, 2012 | 365 | 2012 |
An intelligent system for detecting faults in photovoltaic fields P Ducange, M Fazzolari, B Lazzerini, F Marcelloni 2011 11th International Conference on Intelligent Systems Design and …, 2011 | 144 | 2011 |
An effective Decision Support System for social media listening based on cross-source sentiment analysis models P Ducange, M Fazzolari, M Petrocchi, M Vecchio Engineering Applications of Artificial Intelligence 78, 71-85, 2019 | 98 | 2019 |
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification … M Fazzolari, R Alcalá, F Herrera Applied Soft Computing 24, 470-481, 2014 | 87 | 2014 |
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off M Fazzolari, B Giglio, R Alcalá, F Marcelloni, F Herrera Knowledge-Based Systems 54, 32-41, 2013 | 41 | 2013 |
A study on online travel reviews through intelligent data analysis M Fazzolari, M Petrocchi Information Technology & Tourism 20 (1), 37-58, 2018 | 40 | 2018 |
Adaptive management of applications across multiple clouds: The SeaClouds Approach A Brogi, M Fazzolari, A Ibrahim, J Soldani, J Carrasco, J Cubo, F Durán, ... CLEI electronic journal 18 (1), 2-2, 2015 | 35 | 2015 |
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification P Ducange, M Fazzolari, F Marcelloni Journal of Big Data 7 (1), 19, 2020 | 22 | 2020 |
A study on text-score disagreement in online reviews M Fazzolari, V Cozza, M Petrocchi, A Spognardi Cognitive Computation 9 (5), 689-701, 2017 | 16 | 2017 |
Explainable internet traffic classification C Callegari, P Ducange, M Fazzolari, M Vecchio Applied Sciences 11 (10), 4697, 2021 | 11 | 2021 |
Experience: improving opinion spam detection by cumulative relative frequency distribution M Fazzolari, F Buccafurri, G Lax, M Petrocchi Journal of Data and Information Quality (JDIQ) 13 (1), 1-16, 2021 | 10 | 2021 |
Social sensing and sentiment analysis: Using social media as useful information source P Ducange, M Fazzolari 2017 International Conference on Smart Systems and Technologies (SST), 301-306, 2017 | 9 | 2017 |
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities M Fazzolari, R Alcalá, Y Nojima, H Ishibuchi, F Herrera 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems …, 2013 | 9 | 2013 |
Emotions and interests of evolving Twitter bots M Fazzolari, M Pratelli, F Martinelli, M Petrocchi 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2020 | 6 | 2020 |
A case study on the application of instance selection techniques for genetic fuzzy rule-based classifiers B Giglio, F Marcelloni, M Fazzolari, R Alcalá, F Herrera 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 5 | 2012 |
Incremental and interpretable learning analytics through fuzzy hoeffding decision trees G Casalino, P Ducange, M Fazzolari, R Pecori International Workshop on Higher Education Learning Methodologies and …, 2022 | 2 | 2022 |
An explainable and evolving car driver identification system based on decision trees L Aversano, ML Bernardi, M Cimitile, P Ducange, M Fazzolari, R Pecori 2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022 | 2 | 2022 |
Fuzzy hoeffding decision trees for learning analytics C Gabriella, P Ducange, M Fazzolari, R Pecori proceedings of First Workshop on Online Learning from Uncertain Data Streams …, 2022 | 2 | 2022 |
An Explainable Intrusion Detection System for IoT Networks M Fazzolari, P Ducange, F Marcelloni 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023 | 1 | 2023 |
Fuzzy hoeffding decision trees for learning analytics G Casalino, P Ducange, M Fazzolari, R Pecori First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022), 2022 | 1 | 2022 |