ANTONELLI, MICHELA

ANTONELLI, MICHELA  

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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.
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.
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