Enrico Ferrari

Orcid: 0000-0002-0666-6597

According to our database1, Enrico Ferrari authored at least 28 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Can I trust my anomaly detection system? A case study based on explainable AI.
CoRR, 2024

Using Stratified Sampling to Improve LIME Image Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Optimizing Water Distribution through Explainable AI and Rule-Based Control.
Comput., June, 2023

2022
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications.
Computing, 2022

A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks.
Proceedings of the Advances in System-Integrated Intelligence, 2022

Criteria for the Analysis of Gaps and Limitations of V&V Methods for Safety- and Security-Critical Systems.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops, 2022

A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation.
Proceedings of the IEEE International Conference on E-health Networking, 2022

A 5G-IoT enabled Big Data infrastructure for data-driven agronomy.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
The VALU3S ECSEL project: Verification and validation of automated systems safety and security.
Microprocess. Microsystems, November, 2021

2020
The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

2019
Performance validation of vehicle platooning through intelligible analytics.
IET Cyper-Phys. Syst.: Theory & Appl., 2019

Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.
BMC Bioinform., 2019

Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning.
Proceedings of the 4th International Conference on System Reliability and Safety, 2019

Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning.
Proceedings of the 4th International Conference on System Reliability and Safety, 2019

Feature-based Characterisation of Patient-specific 3D Anatomical Models.
Proceedings of the Italian Chapter Conference 2019, 2019

2018
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables.
Health Informatics J., 2018

Identification of safety regions in vehicle platooning via machine learning.
Proceedings of the 14th IEEE International Workshop on Factory Communication Systems, 2018

2016
Safe cooperative CPS: A V2I traffic management scenario in the SafeCOP project.
Proceedings of the International Conference on Embedded Computer Systems: Architectures, 2016

V2I Cooperation for Traffic Management with SafeCop.
Proceedings of the 2016 Euromicro Conference on Digital System Design, 2016

2015
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
BMC Bioinform., 2015

2011
Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction.
IEEE Trans. Knowl. Data Eng., 2011

Implementing reliable learning through Reliable Support Vector Machines.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011

2010
Switching Neural Network: An application to Regression Problems.
Proceedings of the Neural Nets WIRN10, 2010

Maximizing pattern separation in discretizing continuous features for classification purposes.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Efficient Constructive Techniques for Training Switching Neural Networks.
Proceedings of the Constructive Neural Networks, 2009

2008
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks.
Proceedings of the Artificial Neural Networks, 2008

A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008


  Loading...