Enrico Ferrari

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Supervised Methods

Differential Diagnosis

Gene Expression

Machine Learning

Top Venues

Publications

Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda
Using Stratified Sampling to Improve LIME Image Explanations. CoRR (2024)
Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda
Using Stratified Sampling to Improve LIME Image Explanations. AAAI (2024)
Muhammad Rashid, Elvio Gilberto Amparore, Enrico Ferrari, Damiano Verda
Can I trust my anomaly detection system? A case study based on explainable AI. CoRR (2024)
Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli
Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. 12 (6) (2023)
Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli
A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks. SYSINT (2022)
Enrico Ferrari, Rupert Schlick, Jose Luis de la Vara, Peter Folkesson, Behrooz Sangchoolie
Criteria for the Analysis of Gaps and Limitations of V&V Methods for Safety- and Security-Critical Systems. SAFECOMP Workshops (2022)
Filippo Berto, Claudio A. Ardagna, Marco Torrente, Daniele Manenti, Enrico Ferrari, Aldo Calcante, Roberto Oberti, Cristina Fra', Luca Ciani
A 5G-IoT enabled Big Data infrastructure for data-driven agronomy. GLOBECOM (Workshops) (2022)
Ali Walid Daher, Enrico Ferrari, Marco Muselli, Hussein Chible, Daniele D. Caviglia
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications. Computing 104 (11) (2022)
Sara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli
A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation. HealthCom (2022)
Joseba Andoni Agirre, Leire Etxeberria, Raul Barbosa, Stylianos Basagiannis, Georgios Giantamidis, Thomas Bauer, Enrico Ferrari, Mikel Labayen Esnaola, Vanessa Orani, Johnny Öberg, David Pereira, José Proença, Rupert Schlick, Ales Smrcka, Walter Tiberti, Stefano Tonetta, Marco Bozzano, Ahmet Yazici, Behrooz Sangchoolie
The VALU3S ECSEL project: Verification and validation of automated systems safety and security. Microprocess. Microsystems 87 (2021)
Raul Barbosa, Stylianos Basagiannis, Georgios Giantamidis, H. Becker, Enrico Ferrari, J. Jahic, A. Kanak, Mikel Labayen Esnaola, Vanessa Orani, David Pereira, Luigi Pomante, Rupert Schlick, A. Smrcka, Ahmet Yazici, Peter Folkesson, Behrooz Sangchoolie
The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security. DSD (2020)
Aizea Lojo, Leire Rubio, Jesus Miguel Ruano, Tania Di Mascio, Luigi Pomante, Enrico Ferrari, Ignacio Garcìa Vega, Frank K. Gürkaynak, Mikel Labayen Esnaola, Vanessa Orani, Jaume Abella
The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform. DSD (2020)
Damiano Verda, Stefano Parodi, Enrico Ferrari, Marco Muselli
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods. BMC Bioinform. (9) (2019)
Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, Michela Spagnuolo
Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG (2019)
Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS (2019)
Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi
Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. 4 (2) (2019)
Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari
Identification of safety regions in vehicle platooning via machine learning. WFCS (2018)
Stefano Parodi, Chiara Manneschi, Damiano Verda, Enrico Ferrari, Marco Muselli
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables. Health Informatics J. 24 (1) (2018)
Giovanni Agosta, Alessandro Barenghi, Carlo Brandolese, William Fornaciari, Gerardo Pelosi, Stefano Delucchi, Massimo Massa, Maurizio Mongelli, Enrico Ferrari, Leonardo Napoletani, Luciano Bozzi, Carlo Tieri, Dajana Cassioli, Luigi Pomante
V2I Cooperation for Traffic Management with SafeCop. DSD (2016)
Alessio Agneessens, Francesco Buemi, Stefano Delucchi, Massimo Massa, Giovanni Agosta, Alessandro Barenghi, Carlo Brandolese, William Fornaciari, Gerardo Pelosi, Enrico Ferrari, Dajana Cassioli, Luigi Pomante, Leonardo Napoletani, Luciano Bozzi, Carlo Tieri, Maurizio Mongelli
Safe cooperative CPS: A V2I traffic management scenario in the SafeCOP project. SAMOS (2016)
Stefano Parodi, Rosa Filiberti, Paola Marroni, Roberta Libener, Giovanni Ivaldi, Michele Mussap, Enrico Ferrari, Chiara Manneschi, Erika Montani, Marco Muselli
Differential diagnosis of pleural mesothelioma using Logic Learning Machine. BMC Bioinform. 16 (S-9) (2015)
Marco Muselli, Enrico Ferrari
Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction. IEEE Trans. Knowl. Data Eng. 23 (1) (2011)
Enrico Ferrari, Marco Muselli
Implementing reliable learning through Reliable Support Vector Machines. FOCI (2011)
Enrico Ferrari, Marco Muselli
Switching Neural Network: An application to Regression Problems. WIRN (2010)
Enrico Ferrari, Marco Muselli
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN (2010)
Enrico Ferrari, Marco Muselli
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) (2008)
Enrico Ferrari, Marco Muselli
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB (2008)