Marco Muselli

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 18

Top Topics

Gene Expression

Water Distribution Networks

Computationally Costly

Top Venues

Publications

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
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control. Mach. Learn. Knowl. Extr. 6 (1) (2024)
Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Marco Muselli, Maurizio Mongelli
Weighted Mutual Information for Out-Of-Distribution Detection. xAI (3) (2023)
Sara Narteni, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli
Trustworthy artificial intelligence classification-based equivalent bandwidth control. Comput. Commun. 209 (2023)
Enrico Ferrari, Damiano Verda, Nicolò Pinna, Marco Muselli
Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. 12 (6) (2023)
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. COPA (2023)
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. CoRR (2023)
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)
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) (2022)
Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. Sensors 21 (19) (2021)
Maurizio Mongelli, Marco Muselli, Mario Marchese
A Unified View to Machine Learning and Control for Measurement-based Equivalent Bandwidth. DRCN (2020)
Ali Walid Daher, Ali Rizik, Marco Muselli, Hussein Chible, Daniele D. Caviglia
Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device. ApplePies (2020)
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. (9) (2019)
Maurizio Mongelli, Marco Muselli, E. Ferrari
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS (2019)
Maurizio Aiello, Maurizio Mongelli, Marco Muselli, Damiano Verda
Unsupervised learning and rule extraction for Domain Name Server tunneling detection. Internet Technol. Lett. 2 (2) (2019)
Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS (2019)
Maurizio Mongelli, Enrico Ferrari, Marco Muselli, Alessandro Fermi
Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. 4 (2) (2019)
Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari
Identification of safety regions in vehicle platooning via machine learning. WFCS (2018)
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) (2018)
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) (2015)
Davide Cangelosi, Marco Muselli, Stefano Parodi, Fabiola Blengio, Pamela Becherini, Rogier Versteeg, Massimo Conte, Luigi Varesio
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients. BMC Bioinform. 15 (S-5) (2014)
Stefano Parodi, Vito Pistoia, Marco Muselli
Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments. CIBB (2013)
Davide Cangelosi, Fabiola Blengio, Rogier Versteeg, Angelika Eggert, Alberto Garaventa, Claudio Gambini, Massimo Conte, Alessandra Eva, Marco Muselli, Luigi Varesio
Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients. BMC Bioinform. 14 (S-7) (2013)
Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino, Giorgio Valentini
A Mathematical Model for the Validation of Gene Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (5) (2011)
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) (2011)
Enrico Ferrari, Marco Muselli
Implementing reliable learning through Reliable Support Vector Machines. FOCI (2011)
Cristiano Cervellera, Danilo Macciò, Marco Muselli
Functional Optimization Through Semilocal Approximate Minimization. Oper. Res. 58 (5) (2010)
Enrico Ferrari, Marco Muselli
Switching Neural Network: An application to Regression Problems. WIRN (2010)
Cristiano Cervellera, Danilo Macciò, Marco Muselli
Efficient global maximum likelihood estimation through kernel methods. Neural Networks 23 (7) (2010)
Enrico Ferrari, Marco Muselli
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN (2010)
Marco Muselli, Massimiliano Costacurta, Francesca Ruffino
Evaluating switching neural networks through artificial and real gene expression data. Artif. Intell. Medicine 45 (2-3) (2009)
Enrico Ferrari, Marco Muselli
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) (2008)
Cristiano Cervellera, Danilo Macciò, Marco Muselli
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. IEEE Trans. Neural Networks 19 (8) (2008)
Francesca Ruffino, Marco Muselli, Giorgio Valentini
Gene expression modeling through positive boolean functions. Int. J. Approx. Reason. 47 (1) (2008)
Enrico Ferrari, Marco Muselli
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB (2008)
Stefano Parodi, Vito Pistoia, Marco Muselli
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments. BMC Bioinform. 9 (2008)
Marco Muselli, Francesca Ruffino
Reliable Learning: A Theoretical Framework. KES (3) (2007)
Cristiano Cervellera, Marco Muselli
Efficient sampling in approximate dynamic programming algorithms. Comput. Optim. Appl. 38 (3) (2007)
Francesca Ruffino, Massimiliano Costacurta, Marco Muselli
Evaluating Switching Neural Networks for Gene Selection. WILF (2007)
Marco Muselli
Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS (2005)
Marco Muselli
Approximation Properties of Positive Boolean Functions. WIRN/NAIS (2005)
Claudio M. Rocco Sanseverino, Marco Muselli
Approximate multi-state reliability expressions using a new machine learning technique. Reliab. Eng. Syst. Saf. 89 (3) (2005)
Francesca Ruffino, Marco Muselli, Giorgio Valentini
Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF (2005)
Marco Muselli, Alfonso Quarati
Reconstructing positive Boolean functions with shadow clustering. ECCTD (2005)
Giorgio Valentini, Marco Muselli, Francesca Ruffino
Cancer recognition with bagged ensembles of support vector machines. Neurocomputing 56 (2004)
Cristiano Cervellera, Marco Muselli
Deterministic design for neural network learning: an approach based on discrepancy. IEEE Trans. Neural Networks 15 (3) (2004)
Claudio M. Rocco S., Marco Muselli
Assessing the Reliability of Communication Networks Through Maghine Learning Techniques. WIRN (2004)
Claudio M. Rocco Sanseverino, Marco Muselli
Empirical models based on machine learning techniques for determining approximate reliability expressions. Reliab. Eng. Syst. Saf. 83 (3) (2004)
Marco Muselli, Francesca Ruffino
Consistency of Empirical Risk Minimization for Unbounded Loss Functions. WIRN (2004)
Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
A clustering technique for the identification of piecewise affine systems. Autom. 39 (2) (2003)
Cristiano Cervellera, Marco Muselli
A Deterministic Learning Approch Based on Discrepancy. WIRN (2003)
Giancarlo Ferrari-Trecate, Marco Muselli
Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression. ADHS (2003)
Giancarlo Ferrari-Trecate, Marco Muselli
A New Learning Method for Piecewise Linear Regression. ICANN (2002)
Marco Muselli, Diego Liberati
Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. 14 (6) (2002)
Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
A Clustering Technique for the Identification of Piecewise Affine Systems. HSCC (2001)
Gian Paolo Drago, Marco Muselli
Detecting uncertainty regions for characterizing classification problems. WIRN (2001)
Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
A Learning Algorithm for Piecewise Linear Regression. WIRN (2001)
Gian Paolo Drago, Marco Muselli
Support Vector Machines for uncertainty region detection. WIRN (2001)
Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari
Identification of piecewise affine and hybrid systems. ACC (2001)
Marco Muselli
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. IJCNN (1) (2000)
Marco Muselli, Diego Liberati
Hamming Clustering: A New Approach to Rule Extraction. IIA/SOCO (1999)
Marco Muselli
A Theoretical Approach to Restart in Global Optimization. J. Glob. Optim. 10 (1) (1997)
Marco Muselli
On convergence properties of pocket algorithm. IEEE Trans. Neural Networks 8 (3) (1997)
Marco Muselli
Optimality of Pocket Algorithm. ICANN (1996)
Marco Muselli
Is Pocket algorithm optimal? EuroCOLT (1995)
Marco Muselli
On sequential construction of binary neural networks. IEEE Trans. Neural Networks 6 (3) (1995)
Marco Muselli, Sandro Ridella
Global Optimization of Functions with the Interval Genetic Algorithm. Complex Syst. 6 (3) (1992)