ANTONELLI, MICHELA
ANTONELLI, MICHELA
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data
2017-01-01 Ferranti, Andrea; Marcelloni, Francesco; Segatori, Armando; Antonelli, Michela; Ducange, Pietro
A novel associative classification model based on a fuzzy frequent pattern mining algorithm
2015-01-01 Antonelli, Michela; Ducange, Pietro; Marcelloni, Francesco; Segatori, Armando
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework
2019-01-01 Antonelli, M.; Cardoso, M. J.; Johnston, E. W.; Appayya, M. B.; Presles, B.; Modat, M.; Punwani, S.; Ourselin, S.
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework
2009-01-01 Michela, Antonelli; Ducange, Pietro; Beatrice, Lazzerini; Francesco, Marcelloni
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
2019-01-01 Antonelli, M.; Johnston, E. W.; Dikaios, N.; Cheung, K. K.; Sidhu, H. S.; Appayya, M. B.; Giganti, F.; Simmons, L. A. M.; Freeman, A.; Allen, C.; Ahmed, H. U.; Atkinson, D.; Ourselin, S.; Punwani, S.
Multi-Objective Evolutionary Design of Granular Rule-based Classifiers
2016-01-01 Antonelli, Michela; Ducange, Pietro; Lazzerini, Beatrice; Marcelloni, Francesco
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems
2009-01-01 Michela, Antonelli; Ducange, Pietro; Beatrice, Lazzerini; Francesco, Marcelloni
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
2017-01-01 Antonelli, M.; Bernardo, D.; Hagras, H.; Marcelloni, F.
On the influence of feature selection in fuzzy rule-based regression model generation
2016-01-01 Antonelli, Michela; Ducange, Pietro; Marcelloni, Francesco; Segatori, Armando
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data | 1-gen-2017 | Ferranti, Andrea; Marcelloni, Francesco; Segatori, Armando; Antonelli, Michela; Ducange, Pietro | |
| A novel associative classification model based on a fuzzy frequent pattern mining algorithm | 1-gen-2015 | Antonelli, Michela; Ducange, Pietro; Marcelloni, Francesco; Segatori, Armando | |
| GAS: A genetic atlas selection strategy in multi-atlas segmentation framework | 1-gen-2019 | Antonelli, M.; Cardoso, M. J.; Johnston, E. W.; Appayya, M. B.; Presles, B.; Modat, M.; Punwani, S.; Ourselin, S. | |
| Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework | 1-gen-2009 | Michela, Antonelli; Ducange, Pietro; Beatrice, Lazzerini; Francesco, Marcelloni | |
| Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists | 1-gen-2019 | Antonelli, M.; Johnston, E. W.; Dikaios, N.; Cheung, K. K.; Sidhu, H. S.; Appayya, M. B.; Giganti, F.; Simmons, L. A. M.; Freeman, A.; Allen, C.; Ahmed, H. U.; Atkinson, D.; Ourselin, S.; Punwani, S. | |
| Multi-Objective Evolutionary Design of Granular Rule-based Classifiers | 1-gen-2016 | Antonelli, Michela; Ducange, Pietro; Lazzerini, Beatrice; Marcelloni, Francesco | |
| Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems | 1-gen-2009 | Michela, Antonelli; Ducange, Pietro; Beatrice, Lazzerini; Francesco, Marcelloni | |
| Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification | 1-gen-2017 | Antonelli, M.; Bernardo, D.; Hagras, H.; Marcelloni, F. | |
| On the influence of feature selection in fuzzy rule-based regression model generation | 1-gen-2016 | Antonelli, Michela; Ducange, Pietro; Marcelloni, Francesco; Segatori, Armando |