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Enrico Ferrari

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2020 – today

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2024
[c22]
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. AAAI 2024: 14785-14792
[c21]
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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]
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Enrico Sciacca, Claudio Estatico, Damiano Verda, Enrico Ferrari:
Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray Images. xAI (4) 2024: 66-83
[c19]
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI. xAI (4) 2024: 243-254
[c18]
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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]
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  - journals/corr/abs-2403-17742
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Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. CoRR abs/2403.17742 (2024)
[i1]
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  - journals/corr/abs-2407-19951
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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]
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  - journals/computers/FerrariVPM23
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Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli:
Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. 12(6): 123 (2023)
2022
[j7]
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  - journals/computing/DaherFMCC22
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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): 2453-2487 (2022)
[c17]
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Filippo Berto, Claudio A. Ardagna, Marco Torrente, Daniele Manenti, Enrico Ferrari, Aldo Calcante, Roberto Oberti, Cristina Frà, Luca Ciani:
A 5G-IoT enabled Big Data infrastructure for data-driven agronomy. GLOBECOM (Workshops) 2022: 588-594
[c16]
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  - conf/healthcom/NarteniOFVCM22
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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: 167-172
[c15]
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  - conf/safecomp/FerrariSVFS22
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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: 35-46
[c14]
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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: 33-42
2021
[j6]
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  - journals/mam/AgirreEBBGBFEOOPPSSTTBYS21
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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: 104349 (2021)
2020
[c13]
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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, Ales Smrcka, Ahmet Yazici, Peter Folkesson, Behrooz Sangchoolie:
The VALU3S ECSEL Project: Verification and Validation of Automated Systems Safety and Security. DSD 2020: 352-359
[c12]
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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: 393-400

2010 – 2019

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2019
[j5]
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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. 20-S(9): 390:1-390:13 (2019)
[j4]
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Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi:
Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 120-127 (2019)
[c11]
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Imon Banerjee, Martina Paccini, Enrico Ferrari, Chiara Eva Catalano, Silvia Biasotti, Michela Spagnuolo:
Feature-based Characterisation of Patient-specific 3D Anatomical Models. STAG 2019: 41-50
[c10]
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Maurizio Mongelli, Marco Muselli, Enrico Ferrari:
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS 2019: 41-45
[c9]
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Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari:
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS 2019: 452-456
2018
[j3]
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  - journals/hij/ParodiMVFM18
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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): 54-65 (2018)
[c8]
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Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari:
Identification of safety regions in vehicle platooning via machine learning. WFCS 2018: 1-4
2016
[c7]
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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: 621-627
[c6]
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  - conf/samos/AgneessensBDMAB16
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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: 320-327
2015
[j2]
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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): S3 (2015)
2011
[j1]
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  - journals/tkde/MuselliF11
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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]
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Enrico Ferrari, Marco Muselli:
Implementing reliable learning through Reliable Support Vector Machines. FOCI 2011: 100-106
2010
[c4]
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  - conf/ijcnn/FerrariM10
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Enrico Ferrari, Marco Muselli:
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN 2010: 1-8
[c3]
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  - conf/wirn/FerrariM10
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Enrico Ferrari, Marco Muselli:
Switching Neural Network: An application to Regression Problems. WIRN 2010: 14-21

2000 – 2009

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2009
[p1]
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Enrico Ferrari, Marco Muselli:
Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48
2008
[c2]
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  - conf/cibb/FerrariM08
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Enrico Ferrari, Marco Muselli:
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131
[c1]
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  - conf/icann/FerrariM08
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Enrico Ferrari, Marco Muselli:
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753

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