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2020 – today
- 2024
[c18]Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Martina Marino, Roberta Matrella:
Continuous Monitoring of Body Shaming Actions in Social Networks. EAIS 2024: 1-8- [c17]Giovanni Panella
, Pietro Ducange, Manuele Bettelli, Filippo Vurro, Michela Fazzolari, Riccardo Pecori:
Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. EAIS 2024: 1-8 - [c16]Riccardo Pecori, Giovanni Panella, Filippo Vurro, Manuele Bettelli, Michela Fazzolari, Pietro Ducange:
An Explainable Smart Agriculture System based on In- Vivo Biosensors. FUZZ 2024: 1-8 - [c15]Pietro Ducange, Michela Fazzolari, Francesco Marcelloni:
Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification. HICSS 2024: 1784-1793 - 2023
- [c14]Franz Deimling, Michela Fazzolari:
AMOE: A Tool to Automatically Extract and Assess Organizational Evidence for Continuous Cloud Audit. DBSec 2023: 369-385 - [c13]Michela Fazzolari, Pietro Ducange, Francesco Marcelloni:
An Explainable Intrusion Detection System for IoT Networks. FUZZ 2023: 1-6 - [c12]Gabriella Casalino, Giovanna Castellano, Pietro Ducange, Michela Fazzolari, Riccardo Pecori, Gianluca Zaza:
Leveraging Explainable AI Methods and Tools for Educational Data. HELMeTO 2023: 95-111 - [i4]Franz Deimling, Michela Fazzolari:
AMOE: a Tool to Automatically Extract and Assess Organizational Evidence for Continuous Cloud Audit. CoRR abs/2307.16541 (2023) - 2022
- [c11]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS 2022: 1-8 - [c10]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. HELMeTO 2022: 674-690 - [c9]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Fuzzy Hoeffding Decision Trees for Learning Analytics. OLUD@WCCI 2022 - 2021
- [j9]Michela Fazzolari, Francesco Buccafurri, Gianluca Lax, Marinella Petrocchi:
Experience: Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution. ACM J. Data Inf. Qual. 13(1): 4:1-4:16 (2021) - 2020
- [j8]Pietro Ducange, Michela Fazzolari, Francesco Marcelloni:
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification. J. Big Data 7(1): 19 (2020) - [c8]Michela Fazzolari, Manuel Pratelli, Fabio Martinelli, Marinella Petrocchi:
Emotions and Interests of Evolving Twitter Bots. EAIS 2020: 1-8 - [c7]Michela Fazzolari, Stefania Fabbri, Ilaria Matteucci, Marinella Petrocchi, Anna Vaccarelli:
Presente Digitale: An Online Education System for Teachers. HELMeTO 2020: 271-285 - [i3]Michela Fazzolari, Francesco Buccafurri, Gianluca Lax, Marinella Petrocchi:
Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution. CoRR abs/2012.13905 (2020)
2010 – 2019
- 2019
- [j7]Pietro Ducange, Michela Fazzolari, Marinella Petrocchi, Massimo Vecchio:
An effective Decision Support System for social media listening based on cross-source sentiment analysis models. Eng. Appl. Artif. Intell. 78: 71-85 (2019) - 2018
- [j6]Michela Fazzolari, Marinella Petrocchi:
A study on online travel reviews through intelligent data analysis. J. Inf. Technol. Tour. 20(1-4): 37-58 (2018) - [c6]Michela Fazzolari, Marinella Petrocchi, Angelo Spognardi:
Predicting Online Review Scores Across Reviewer Categories. IDEAL (1) 2018: 698-710 - [c5]Francesco Buccafurri, Michela Fazzolari, Gianluca Lax, Marinella Petrocchi:
Contrasting Fake Reviews in TripAdvisor. SEBD 2018 - 2017
- [j5]Michela Fazzolari, Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi:
A Study on Text-Score Disagreement in Online Reviews. Cogn. Comput. 9(5): 689-701 (2017) - [c4]Michela Fazzolari, Marinella Petrocchi, Alessandro Tommasi, Cesare Zavattari:
Mining Worse and Better Opinions - Unsupervised and Agnostic Aggregation of Online Reviews. ICWE 2017: 494-506 - [i2]Michela Fazzolari, Marinella Petrocchi, Alessandro Tommasi, Cesare Zavattari:
Mining Worse and Better Opinions. Unsupervised and Agnostic Aggregation of Online Reviews. CoRR abs/1704.05393 (2017) - [i1]Michela Fazzolari, Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi:
A study on text-score disagreement in online reviews. CoRR abs/1707.06932 (2017) - 2015
- [j4]Antonio Brogi, Jose Carrasco, Javier Cubo, Elisabetta Di Nitto, Francisco Durán, Michela Fazzolari, Ahmad Ibrahim, Ernesto Pimentel, Jacopo Soldani, Pengwei Wang, Francesco D'Andria:
Adaptive management of applications across multiple clouds: The SeaClouds Approach. CLEI Electron. J. 18(1) (2015) - 2014
- [j3]Michela Fazzolari, Rafael Alcalá, Francisco Herrera:
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. Appl. Soft Comput. 24: 470-481 (2014) - 2013
- [j2]Michela Fazzolari, Bruno Giglio, Rafael Alcalá, Francesco Marcelloni, Francisco Herrera:
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowl. Based Syst. 54: 32-41 (2013) - [j1]Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Trans. Fuzzy Syst. 21(1): 45-65 (2013) - [c3]Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. GEFS 2013: 44-51 - 2012
- [c2]Bruno Giglio, Francesco Marcelloni, Michela Fazzolari, Rafael Alcalá, Francisco Herrera:
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. FUZZ-IEEE 2012: 1-8 - 2011
- [c1]Pietro Ducange, Michela Fazzolari, Beatrice Lazzerini, Francesco Marcelloni:
An intelligent system for detecting faults in photovoltaic fields. ISDA 2011: 1341-1346
Coauthor Index
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