Marco Muselli - RankMe

73 papers B 2C 4Journal 35Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel score function for conformal prediction in rule-based binary classification. Pattern Recognit. Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2024	J	`jnl`	A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy. Int. J. Medical Informatics Musacchio Nicoletta, 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
2024	J	`jnl`	Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control. Mach. Learn. Knowl. Extr. Musacchio Nicoletta, 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
2024	—	`conf`	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) Claudio Muselli, Damiano Verda, Enrico Ferrari, Claire Thomas Gaggiotti, Marco Muselli
2023	—	`conf`	CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. COPA Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023	J	`jnl`	CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. CoRR Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023	J	`jnl`	Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli
2023	J	`jnl`	Trustworthy artificial intelligence classification-based equivalent bandwidth control. Comput. Commun. Sara Narteni, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli
2023	—	`conf`	Weighted Mutual Information for Out-Of-Distribution Detection. xAI (3) Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Marco Muselli, Maurizio Mongelli
2022	—	`conf`	A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks. SYSINT Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli
2022	J	`jnl`	VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications. Computing Ali Walid Daher, Enrico Ferrari, Marco Muselli, Hussein Chible, Daniele D. Caviglia
2021	J	`jnl`	Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. Sensors Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia
2020	—	`conf`	A Unified View to Machine Learning and Control for Measurement-based Equivalent Bandwidth. DRCN Maurizio Mongelli, Marco Muselli, Mario Marchese
2020	—	`conf`	Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device. ApplePies Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia
2019	—	`conf`	Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari
2019	—	`conf`	Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS Maurizio Mongelli, Marco Muselli, Enrico Ferrari
2019	J	`jnl`	Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods. BMC Bioinform. Damiano Verda, Stefano Parodi, Enrico Ferrari, Marco Muselli
2019	J	`jnl`	Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi
2019	J	`jnl`	Unsupervised learning and rule extraction for Domain Name Server tunneling detection. Internet Technol. Lett. Maurizio Aiello, Maurizio Mongelli, Marco Muselli, Damiano Verda
2018	C	`conf`	Identification of safety regions in vehicle platooning via machine learning. WFCS Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari
2018	J	`jnl`	Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables. Health Informatics J. Stefano Parodi, Chiara Manneschi, Damiano Verda, Enrico Ferrari, Marco Muselli
2015	J	`jnl`	Differential diagnosis of pleural mesothelioma using Logic Learning Machine. BMC Bioinform. Stefano Parodi, Rosa Filiberti, Paola Marroni, Roberta Libener, Giovanni Ivaldi, Michele Mussap, Enrico Ferrari, Chiara Manneschi, Erika Montani, Marco Muselli
2014	J	`jnl`	Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients. BMC Bioinform. Davide Cangelosi, Marco Muselli, Stefano Parodi, Fabiola Blengio, Pamela Becherini, Rogier Versteeg, Massimo Conte, Luigi Varesio
2013	—	`conf`	Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments. CIBB Stefano Parodi, Vito Pistoia, Marco Muselli
2013	J	`jnl`	Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients. BMC Bioinform. Davide Cangelosi, Fabiola Blengio, Rogier Versteeg, Angelika Eggert, Alberto Garaventa, Claudio Gambini, Massimo Conte, Alessandra Eva, Marco Muselli, Luigi Varesio
2011	J	`jnl`	A Mathematical Model for the Validation of Gene Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino, Giorgio Valentini
2011	J	`jnl`	Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction. IEEE Trans. Knowl. Data Eng. Marco Muselli, Enrico Ferrari
2011	—	`conf`	Implementing reliable learning through Reliable Support Vector Machines. FOCI Enrico Ferrari, Marco Muselli
2010	J	`jnl`	Efficient global maximum likelihood estimation through kernel methods. Neural Networks Cristiano Cervellera, Danilo Macciò, Marco Muselli
2010	J	`jnl`	Functional Optimization Through Semilocal Approximate Minimization. Oper. Res. Cristiano Cervellera, Danilo Macciò, Marco Muselli
2010	B	`conf`	Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN Enrico Ferrari, Marco Muselli
2010	—	`conf`	Switching Neural Network: An application to Regression Problems. WIRN Enrico Ferrari, Marco Muselli
2009	—	`ch.`	Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks Enrico Ferrari, Marco Muselli
2009	J	`jnl`	Evaluating switching neural networks through artificial and real gene expression data. Artif. Intell. Medicine Marco Muselli, Massimiliano Costacurta, Francesca Ruffino
2008	—	`conf`	A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) Enrico Ferrari, Marco Muselli
2008	—	`conf`	A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB Enrico Ferrari, Marco Muselli
2008	J	`jnl`	Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. IEEE Trans. Neural Networks Cristiano Cervellera, Danilo Macciò, Marco Muselli
2008	J	`jnl`	Gene expression modeling through positive boolean functions. Int. J. Approx. Reason. Francesca Ruffino, Marco Muselli, Giorgio Valentini
2008	J	`jnl`	Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments. BMC Bioinform. Stefano Parodi, Vito Pistoia, Marco Muselli
2007	J	`jnl`	Efficient sampling in approximate dynamic programming algorithms. Comput. Optim. Appl. Cristiano Cervellera, Marco Muselli
2007	—	`conf`	Evaluating Switching Neural Networks for Gene Selection. WILF Francesca Ruffino, Massimiliano Costacurta, Marco Muselli
2007	—	`ch.`	Network Reliability Assessment through Empirical Models Using a Machine Learning Approach. Intelligence in Reliability Engineering Claudio M. Rocco Sanseverino, Marco Muselli
2007	—	`conf`	Reliable Learning: A Theoretical Framework. KES (3) Marco Muselli, Francesca Ruffino
2005	J	`jnl`	Approximate multi-state reliability expressions using a new machine learning technique. Reliab. Eng. Syst. Saf. Claudio M. Rocco Sanseverino, Marco Muselli
2005	—	`conf`	Approximation Properties of Positive Boolean Functions. WIRN/NAIS Marco Muselli
2005	—	`conf`	Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF Francesca Ruffino, Marco Muselli, Giorgio Valentini
2005	—	`conf`	Reconstructing positive Boolean functions with shadow clustering. ECCTD Marco Muselli, Alfonso Quarati
2005	—	`conf`	Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS Marco Muselli
2004	—	`conf`	Assessing the Reliability of Communication Networks Through Maghine Learning Techniques. WIRN Claudio M. Rocco S., Marco Muselli
2004	J	`jnl`	Cancer recognition with bagged ensembles of support vector machines. Neurocomputing Giorgio Valentini, Marco Muselli, Francesca Ruffino
2004	—	`conf`	Consistency of Empirical Risk Minimization for Unbounded Loss Functions. WIRN Marco Muselli, Francesca Ruffino
2004	J	`jnl`	Deterministic design for neural network learning: an approach based on discrepancy. IEEE Trans. Neural Networks Cristiano Cervellera, Marco Muselli
2004	J	`jnl`	Empirical models based on machine learning techniques for determining approximate reliability expressions. Reliab. Eng. Syst. Saf. Claudio M. Rocco Sanseverino, Marco Muselli
2003	—	`conf`	A Deterministic Learning Approch Based on Discrepancy. WIRN Cristiano Cervellera, Marco Muselli
2003	J	`jnl`	A clustering technique for the identification of piecewise affine systems. Autom. Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
2003	B	`conf`	Bagged ensembles of Support Vector Machines for gene expression data analysis. IJCNN Giorgio Valentini, Marco Muselli, Francesca Ruffino
2003	—	`conf`	Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression. ADHS Giancarlo Ferrari-Trecate, Marco Muselli
2002	C	`conf`	A New Learning Method for Piecewise Linear Regression. ICANN Giancarlo Ferrari-Trecate, Marco Muselli
2002	J	`jnl`	Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. Marco Muselli, Diego Liberati
2001	—	`conf`	A Clustering Technique for the Identification of Piecewise Affine Systems. HSCC Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
2001	—	`conf`	A Learning Algorithm for Piecewise Linear Regression. WIRN Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
2001	—	`conf`	Detecting uncertainty regions for characterizing classification problems. WIRN Gian Paolo Drago, Marco Muselli
2001	C	`conf`	Identification of piecewise affine and hybrid systems. ACC Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
2001	—	`conf`	Support Vector Machines for uncertainty region detection. WIRN Gian Paolo Drago, Marco Muselli
2000	—	`conf`	Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. IJCNN (1) Marco Muselli
1999	—	`conf`	Hamming Clustering: A New Approach to Rule Extraction. IIA/SOCO Marco Muselli, Diego Liberati
1997	J	`jnl`	A Theoretical Approach to Restart in Global Optimization. J. Glob. Optim. Marco Muselli
1997	J	`jnl`	On convergence properties of pocket algorithm. IEEE Trans. Neural Networks Marco Muselli
1996	J	`jnl`	Hamming-Clustering method for signals prediction in 5' and 3' regions of eukaryotic genes. Comput. Appl. Biosci. Luciano Milanesi, Marco Muselli, P. Arrigo
1996	C	`conf`	Optimality of Pocket Algorithm. ICANN Marco Muselli
1995	—	`conf`	Is Pocket algorithm optimal? EuroCOLT Marco Muselli
1995	J	`jnl`	On sequential construction of binary neural networks. IEEE Trans. Neural Networks Marco Muselli
1992	J	`jnl`	Global Optimization of Functions with the Interval Genetic Algorithm. Complex Syst. Marco Muselli, Sandro Ridella