Scholar Profile
Publons Profile
Capitolo di Libro
A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks, Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli, Lecture Notes in Networks and Systems, Springer 2023
Riviste
A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy , Nicoletta Musacchio, Rita Zilich, Davide Masi, Fabio Baccetti, Besmir Nreu, Carlo Bruno Giorda, Giacomo Guaita, Lelio Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Antonio Rossi, Pierluigi Santin, Damiano Verda, Graziano Di Cianni, Riccardo Candido, International Journal of Medical Informatics, Ottobre 2024
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI, Lucas Rizzo, Damiano Verda, Serena Berretta, Luca Longo, Machine Learning And Knowledge Extraction, Settembre 2024
Deep Learning helps discriminating Autoimmune Hepatitis and Primary Biliary Cholangitis , Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather, JHEP Reports, Agosto 2024
Portfolio optimization and risk management through Hierarchical Risk Parity and Logic Learning Machine: a case study applied to the Turkish stock market , Giacomo Gaggero, Pier Giuseppe Giribone, Marco Muselli, Erenay Ünal, Damiano Verda, Risk Management Magazine, Aprile 2024
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control, Nicoletta Musacchio, Rita Zilich, Davide Masi, Fabio Baccetti, Besmir Nreu, Carlo Bruno Giorda, Giacomo Guaita, Lelilo Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Antonio Rossi, Pierluigi Santin, Damiano Verda, Graziano Di Cianni, Riccardo Candido, Machine Learning And Knowledge Extraction, Febbraio 2024
Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-Learning Projection Using Data from Clinical Practice, Carlo Bruno Giorda, Antonio Rossi, Fabio Baccetti, Rita Zilich, Francesco Romeo, Nreu Besmir, Graziano Di Cianni, Giacomo Guaita, Lelio Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Pierluigi Santin, Damiano Verda, Nicoletta Musacchio, Clinical Therapeutics, Luglio 2023
Optimizing Water Distribution through Explainable AI and Rule-Based Control , Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli, Computers, Giugno 2023
Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group, Davide Masi, Rita Zilich, Riccardo Candido, Annalisa Giancaterini, Giacomo Guaita, Marco Muselli, Paola Ponzani, Pierluigi Santin, Damiano Verda and Nicoletta Musacchio on behalf of the Associazione Medici Diabetologi (AMD) Annals Study Group and AMD Artificial Intelligence Study Group , Journal Of Clinical Medicine (JCM), Giugno 2023
Validation of a predictive model for obstructive sleep apnea in people with Down syndrome, Brian G. Skotko, Alexandra Garza Flores, Ibrahim Elsharkawi, Vasiliki Patsiogiannis, Mary Ellen McDonough, Damiano Verda, Marco Muselli, Roberto Hornero, David Gozal, Eric A. Macklin, American Journal Of Medical Genetics, Part A, Novembre 2022
The clinical meaning of the area under a Receiver Operating Characteristic curve for the evaluation of the performance of disease markers, Stefano Parodi, Damiano Verda, Francesca Bagnasco, Marco Muselli, Epidemiology And Health, Ottobre 2022
LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis, Alessio Gerussi, Damiano Verda, Claudio Cappadona, Laura Cristoferi, Davide Paolo Bernasconi, Sandro Bottaro, Marco Carbone, Marco Muselli, Pietro Invernizzi, and Rosanna Asselta on behalf of The Italian PBC Genetics Study Group, Journal of Personalized Medicine, Settembre 2022
Machine learning in primary biliary cholangitis: A novel approach for risk stratification , Alessio Gerussi, Damiano Verda, Davide Paolo Bernasconi, Marco Carbone, Atsumasa Komori, Masanori Abe, Mie Inao, Tadashi Namisaki, Satoshi Mochida, Hitoshi Yoshiji, Gideon Hirschfield, Keith Lindor, Albert Pares, Christophe Corpechot, Nora Cazzagon, Annarosa Floreani, Marco Marzioni, Domenico Alvaro, Umberto Vespasiani-Gentilucci, Laura Cristoferi, Maria Grazia Valsecchi, Marco Muselli, Bettina E. Hansen, Atsushi Tanaka, Pietro Invernizzi, Liver International, Issue Cover Marzo 2022
Controllo automatico delle variabili cliniche della scheda di dimissione ospedaliera (SDO), mediante l’utilizzo di tecniche di machine learning, E. Montel, A. Richter, R. Vanzetta, S. Ladurner, A. Malizia, D. Verda, M. Muselli, P. Santin, P. Vian, Organizzazione Sanitaria, Marzo 2022
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods , Damiano Verda, Stefano Parodi, Enrico Ferrari, Marco Muselli, BMC Bioinformatics, Novembre 2019
Unsupervised learning and rule extraction for Domain Name Server tunneling detection , Maurizio Aiello, Maurizio Mongelli, Marco Muselli, Damiano Verda, Internet Technology Letters, Marzo/Aprile 2019
Logic Learning Machine and standard supervised methods for Hodgkin’s lymphoma prognosis using gene expression data and clinical variables , Stefano Parodi, Chiara Manneschi, Damiano Verda, Enrico Ferrari, Marco Muselli, Health Informatics Journal, Marzo 2018
Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles, Andràs L. Majdik, Damiano Verda, Yves Albers-Schoenberg, Davide Scaramuzza, Journal of Field Robotics (JFR), October 2015
Structure-based object representation and classification in mobile robotics through a Microsoft Kinect, Antonio Sgorbissa, Damiano Verda Robotics And Autonomous Systems (RAS), Dicembre 2013
Human navigation and mapping with a 6DOF IMU and a laser scanner, Marco Baglietto, Antonio Sgorbissa, Damiano Verda, Renato Zaccaria Robotics And Autonomous Systems (RAS), Dicembre 2011
Conferenze
Rulex Platform: leveraging domain knowledge and data-driven rules to support decisions in the fintech sector through eXplainable AI models, Claudio Muselli, Damiano Verda, Enrico Ferrari, Claire Thomas Gaggiotti, Marco Muselli World Conference on Explainable Artificial Intelligence 2024
Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI, Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda, World Conference on Explainable Artificial Intelligence 2024
Evaluating Local Explainable AI Techniques for the Classification of Chest X-Ray Images, Enrico Sciacca, Claudio Estatico, Damiano Verda, Enrico Ferrari, World Conference on Explainable Artificial Intelligence 2024
Using Stratified Sampling to Improve LIME Image Explanations, Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda, Annual AAAI Conference on Artificial Intelligence 2024
A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation, Sara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli, IEEE International Conference on E-health Networking, Application and Services (HealthCom) 2022
Micro Air Vehicle Localization and Position Tracking from Textured 3D Cadastral Models, Andràs L. Majdik, Damiano Verda, Yves Albers-Schoenberg, Davide Scaramuzza, International Conference on Robotics and Automation (ICRA) 2014
Abstract
Clustering Reveals the Prognostic Role of Serum Albumin Values Within the Normal Range in Patients with Primary Biliary Cholangitis, Alessio Gerussi, Damiano Verda, Davide Bernasconi, Marco Carbone, A. Komori, M. Abe, M. Inao, T. Namisaki, S. Mochida, H. Yoshiji, G. Hirschfield, K. Lindor, A. Pares, C. Corpechot, N. Cazzagon, A. Floreani, M. Marzioni, D. Alvaro, U. Vespasiani-Gentilucci, L. Cristoferi, M.G. Valsecchi, M. Muselli, the Japan PBC Study Group, the Global PBC Study Group, the Italian PBC study Group, B.E. Hansen, A. Tanaka, Pietro Invernizzi, Digestive And Liver Disease Volume 53 Supplement 1, Luglio 2021
