| Coupling logical analysis of data and shadow clustering for partially defined positive Boolean function reconstruction M Muselli, E Ferrari IEEE Transactions on Knowledge and Data Engineering 23 (1), 37-50, 2009 | 60 | 2009 |
| Validation of a new multiple osteochondromas classification through Switching Neural Networks M Mordenti, E Ferrari, E Pedrini, N Fabbri, L Campanacci, M Muselli, ... American Journal of Medical Genetics Part A 161 (3), 556-560, 2013 | 38 | 2013 |
| Differential diagnosis of pleural mesothelioma using Logic Learning Machine S Parodi, R Filiberti, P Marroni, R Libener, GP Ivaldi, M Mussap, E Ferrari, ... BMC bioinformatics 16, 1-10, 2015 | 26 | 2015 |
| Logic Learning Machine and standard supervised methods for Hodgkin’s lymphoma prognosis using gene expression data and clinical variables S Parodi, C Manneschi, D Verda, E Ferrari, M Muselli Health informatics journal 24 (1), 54-65, 2018 | 21 | 2018 |
| Performance validation of vehicle platooning through intelligible analytics M Mongelli, E Ferrari, M Muselli, A Fermi IET Cyber‐Physical Systems: Theory & Applications 4 (2), 120-127, 2019 | 20 | 2019 |
| Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods D Verda, S Parodi, E Ferrari, M Muselli BMC bioinformatics 20 (Suppl 9), 390, 2019 | 15 | 2019 |
| Identification of safety regions in vehicle platooning via machine learning A Fermi, M Mongelli, M Muselli, E Ferrari 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS …, 2018 | 13 | 2018 |
| Achieving zero collision probability in vehicle platooning under cyber attacks via machine learning M Mongelli, M Muselli, E Ferrari 2019 4th international conference on system reliability and safety (ICSRS …, 2019 | 12 | 2019 |
| V2I cooperation for traffic management with SafeCop G Agosta, A Barenghi, C Brandolese, W Fornaciari, G Pelosi, S Delucchi, ... 2016 Euromicro Conference on Digital System Design (DSD), 621-627, 2016 | 12 | 2016 |
| The VALU3S ECSEL project: Verification and validation of automated systems safety and security JA Agirre, L Etxeberria, R Barbosa, S Basagiannis, G Giantamidis, ... Microprocessors and microsystems 87, 104349, 2021 | 10 | 2021 |
| Accellerating prism validation of vehicle platooning through machine learning M Mongelli, M Muselli, A Scorzoni, E Ferrari 2019 4th international conference on system reliability and safety (ICSRS …, 2019 | 10 | 2019 |
| The ECSEL fractal project: a cognitive fractal and secure edge based on a unique open-safe-reliable-low power hardware platform A Lojo, L Rubio, JM Ruano, T Di Mascio, L Pomante, E Ferrari, IG Vega, ... 2020 23rd Euromicro Conference on Digital System Design (DSD), 393-400, 2020 | 9 | 2020 |
| Identifying environmental and social factors predisposing to pathological gambling combining standard logistic regression and logic learning machine S Parodi, C Dosi, A Zambon, E Ferrari, M Muselli Journal of Gambling Studies 33, 1121-1137, 2017 | 9 | 2017 |
| The VALU3S ECSEL project: verification and validation of automated systems safety and security R Barbosa, S Basagiannis, G Giantamidis, H Becker, E Ferrari, J Jahic, ... 2020 23rd Euromicro Conference on Digital System Design (DSD), 352-359, 2020 | 8 | 2020 |
| Efficient constructive techniques for training Switching Neural Networks E Ferrari, M Muselli Constructive Neural Networks, 25-48, 2009 | 7 | 2009 |
| Maximizing pattern separation in discretizing continuous features for classification purposes E Ferrari, M Muselli The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 6 | 2010 |
| Safe cooperative CPS: A V2I traffic management scenario in the SafeCOP project A Agneessens, F Buemi, S Delucchi, M Massa, G Agosta, A Barenghi, ... 2016 International Conference on Embedded Computer Systems: Architectures …, 2016 | 4 | 2016 |
| Optimizing Water Distribution through Explainable AI and Rule-Based Control E Ferrari, D Verda, N Pinna, M Muselli Computers 12 (6), 123, 2023 | 3 | 2023 |
| Method for detecting anomalies in a data set M Muselli, M Costacurta, D Verda, E Ferrari US Patent App. 17/275,981, 2022 | 3 | 2022 |
| Implementing reliable learning through Reliable Support Vector Machines E Ferrari, M Muselli 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 100-106, 2011 | 3 | 2011 |
