Marco Muselli

Marco Muselli, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Switching Neural Network: An application to Regression Problems

Marco Muselli, Enrico Ferrari, 2010, WIRN.

A Theoretical Approach to Restart in Global Optimization

Marco Muselli, M. Muselli, 1997, J. Glob. Optim..

Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods

Marco Muselli, Damiano Verda, Enrico Ferrari, 2019, BMC Bioinformatics.

Binary Rule Generation via Hamming Clustering

Marco Muselli, Diego Liberati, D. Liberati, 2002, IEEE Trans. Knowl. Data Eng..

Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks

Cristiano Cervellera, Marco Muselli, Danilo Macciò, 2008, IEEE Transactions on Neural Networks.

Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression

Marco Muselli, Giancarlo Ferrari-Trecate, 2003, ADHS.

Logic Learning Machine and standard supervised methods for Hodgkin’s lymphoma prognosis using gene expression data and clinical variables

Marco Muselli, Damiano Verda, Enrico Ferrari, 2018, Health Informatics J..

Gene Selection through Switched Neural Networks

Marco Muselli, 2003 .

A Learning Algorithm for Piecewise Linear Regression

Manfred Morari, Marco Muselli, Diego Liberati, 2001, WIRN.

A Constructive Technique Based on Linear Programming for Training Switching Neural Networks

Marco Muselli, Enrico Ferrari, M. Muselli, 2008, ICANN.

Efficient Constructive Techniques for Training Switching Neural Networks

Marco Muselli, Enrico Ferrari, 2009, Constructive Neural Networks.

Sequential constructive techniques

Marco Muselli, M. Muselli, 1998 .

Functional Optimization Through Semilocal Approximate Minimization

Cristiano Cervellera, Marco Muselli, Danilo Macciò, 2010, Oper. Res..

Detecting uncertainty regions for characterizing classification problems

Marco Muselli, Gian Paolo Drago, 2001, WIRN.

Evaluating switching neural networks through artificial and real gene expression data

Marco Muselli, Francesca Ruffino, Massimiliano Costacurta, 2009, Artif. Intell. Medicine.

Reliable Learning: A Theoretical Framework

Marco Muselli, Francesca Ruffino, M. Muselli, 2007, KES.

Switching Neural Networks: A New Connectionist Model for Classification

Marco Muselli, M. Muselli, 2005, WIRN/NAIS.

A Mathematical Model for the Validation of Gene Selection Methods

Giorgio Valentini, Alberto Bertoni, Marco Muselli, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Approximation Properties of Positive Boolean Functions

Marco Muselli, 2005, WIRN/NAIS.

Supervised Learning Using a Genetic Algorithm

Sandro Ridella, Marco Muselli, 1990 .

A clustering technique for the identification of piecewise affine systems

Manfred Morari, Marco Muselli, Diego Liberati, 2001, Autom..

Implementing reliable learning through Reliable Support Vector Machines

Marco Muselli, Enrico Ferrari, 2011, 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability

Marco Muselli, Enrico Ferrari, 2008, CIBB.

Network Reliability Assessment through Empirical Models Using a Machine Learning Approach

Marco Muselli, Claudio M. Rocco Sanseverino, 2007, Intelligence in Reliability Engineering.