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Enrico Ferrari
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2020 – today
- 2024
- [c22]Muhammad Rashid
, Elvio G. Amparore, Enrico Ferrari, Damiano Verda
Using Stratified Sampling to Improve LIME Image Explanations. AAAI 2024: 14785-14792 - [c21]Hassan Aboushady, Noemie Beringuier-Boher, Kelly Burke, Philippe Dallemagne, Mario De Biase, Manuel Di Frangia, Virginie Deniau, Enrico Ferrari, Christophe Gaquière, Dominique Morche, Fabio Patrone, Stefano Pesci, Luigi Pomante, Andries Stam, Vincenzo Stornelli, Haralampos-G. Stratigopoulos, Mottaqiallah Taouil, Emmanuel Vaumorin, Jonathan Villain, Sander Steeghs:
Trusted SMEs for Sustainable Growth of Europeans Economical Backbone to Strengthen the Digital Sovereignty: The KDT Resilient Trust Project. DSD 2024: 620-627 - [c20]Enrico Sciacca, Claudio Estatico
Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray Images. xAI (4) 2024: 66-83 - [c19]Muhammad Rashid
Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI. xAI (4) 2024: 243-254 - [c18]Claudio Muselli, Damiano Verda, Enrico Ferrari, Claire Thomas Gaggiotti, Marco Muselli:
Rulex Platform: leveraging domain knowledge and data-driven rules to support decisions in the fintech sector through eXplainable AI models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 305-312 - [i2]Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. CoRR abs/2403.17742 (2024) - [i1]Muhammad Rashid, Elvio Gilberto Amparore, Enrico Ferrari, Damiano Verda:
Can I trust my anomaly detection system? A case study based on explainable AI. CoRR abs/2407.19951 (2024) - 2023
- [j8]Enrico Ferrari
Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. 12(6): 123 (2023) - 2022
- [j7]Ali Walid Daher
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications. Computing 104(11): 2453-2487 (2022) - [c17]Filippo Berto
A 5G-IoT enabled Big Data infrastructure for data-driven agronomy. GLOBECOM (Workshops) 2022: 588-594 - [c16]Sara Narteni
A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation. HealthCom 2022: 167-172 - [c15]Enrico Ferrari
Criteria for the Analysis of Gaps and Limitations of V&V Methods for Safety- and Security-Critical Systems. SAFECOMP Workshops 2022: 35-46 - [c14]Enrico Ferrari
A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks. SYSINT 2022: 33-42 - 2021
- [j6]Joseba Andoni Agirre, Leire Etxeberria, Raul Barbosa
The VALU3S ECSEL project: Verification and validation of automated systems safety and security. Microprocess. Microsystems 87: 104349 (2021) - 2020
- [c13]Raul Barbosa
The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security. DSD 2020: 352-359 - [c12]Aizea Lojo, Leire Rubio
The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform. DSD 2020: 393-400
2010 – 2019
- 2019
- [j5]Damiano Verda
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods. BMC Bioinform. 20-S(9): 390:1-390:13 (2019) - [j4]Maurizio Mongelli
Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 120-127 (2019) - [c11]Imon Banerjee
Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG 2019: 41-50 - [c10]Maurizio Mongelli, Marco Muselli, Enrico Ferrari
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS 2019: 41-45 - [c9]Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS 2019: 452-456 - 2018
- [j3]Stefano Parodi
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables. Health Informatics J. 24(1): 54-65 (2018) - [c8]Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari
Identification of safety regions in vehicle platooning via machine learning. WFCS 2018: 1-4 - 2016
- [c7]Giovanni Agosta
V2I Cooperation for Traffic Management with SafeCop. DSD 2016: 621-627 - [c6]Alessio Agneessens, Francesco Buemi, Stefano Delucchi, Massimo Massa, Giovanni Agosta
Safe cooperative CPS: A V2I traffic management scenario in the SafeCOP project. SAMOS 2016: 320-327 - 2015
- [j2]Stefano Parodi
Differential diagnosis of pleural mesothelioma using Logic Learning Machine. BMC Bioinform. 16(S-9): S3 (2015) - 2011
- [j1]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): 37-50 (2011) - [c5]Enrico Ferrari
Implementing reliable learning through Reliable Support Vector Machines. FOCI 2011: 100-106 - 2010
- [c4]Enrico Ferrari
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN 2010: 1-8 - [c3]Enrico Ferrari
Switching Neural Network: An application to Regression Problems. WIRN 2010: 14-21
2000 – 2009
- 2009
- [p1]Enrico Ferrari
Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48 - 2008
- [c2]Enrico Ferrari
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131 - [c1]Enrico Ferrari
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753
Coauthor Index
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