Marco Muselli

	2009
21		Marco Muselli, Massimiliano Costacurta, Francesca Ruffino: Evaluating switching neural networks through artificial and real gene expression data. Artificial Intelligence in Medicine 45(2-3): 163-171 (2009)
	2008
20		Enrico Ferrari, Marco Muselli: A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131
19		Enrico Ferrari, Marco Muselli: A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753
18		Stefano Parodi, Vito Pistoia, Marco Muselli: Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments. BMC Bioinformatics 9: (2008)
17		Cristiano Cervellera, D. Maccio, Marco Muselli: Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. IEEE Transactions on Neural Networks 19(8): 1456-1467 (2008)
16		Francesca Ruffino, Marco Muselli, Giorgio Valentini: Gene expression modeling through positive boolean functions. Int. J. Approx. Reasoning 47(1): 97-108 (2008)
	2007
15		Marco Muselli, Francesca Ruffino: Reliable Learning: A Theoretical Framework. KES (3) 2007: 174-183
14		Francesca Ruffino, Massimiliano Costacurta, Marco Muselli: Evaluating Switching Neural Networks for Gene Selection. WILF 2007: 557-562
13		Claudio M. Rocco, Marco Muselli: Network Reliability Assessment through Empirical Models Using a Machine Learning Approach. Intelligence in Reliability Engineering 2007: 145-174
	2005
12		Francesca Ruffino, Marco Muselli, Giorgio Valentini: Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF 2005: 277-283
11		Marco Muselli: Approximation Properties of Positive Boolean Functions. WIRN/NAIS 2005: 18-22
10		Marco Muselli: Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS 2005: 23-30
	2004
9		Giorgio Valentini, Marco Muselli, Francesca Ruffino: Cancer recognition with bagged ensembles of support vector machines. Neurocomputing 56: 461-466 (2004)
	2003
8		Cristiano Cervellera, Marco Muselli: A Deterministic Learning Approch Based on Discrepancy. WIRN 2003: 53-60
	2002
7		Giancarlo Ferrari-Trecate, Marco Muselli: A New Learning Method for Piecewise Linear Regression. ICANN 2002: 444-449
6		Marco Muselli, Diego Liberati: Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. 14(6): 1258-1268 (2002)
	2001
5		Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari: A Clustering Technique for the Identification of Piecewise Affine Systems. HSCC 2001: 218-231
	2000
4		Marco Muselli: Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. IJCNN (1) 2000: 27-34
	1999
3		Marco Muselli, Diego Liberati: Hamming Clustering: A New Approach to Rule Extraction. IIA/SOCO 1999
	1996
2		Marco Muselli: Optimality of Pocket Algorithm. ICANN 1996: 507-512
	1995
1		Marco Muselli: Is Pocket algorithm optimal? EuroCOLT 1995: 287-297

Coauthor Index

1	Cristiano Cervellera	[8] [17]
2	Massimiliano Costacurta	[14] [21]
3	Enrico Ferrari	[19] [20]
4	Giancarlo Ferrari-Trecate	[5] [7]
5	Diego Liberati	[3] [5] [6]
6	D. Maccio	[17]
7	Manfred Morari	[5]
8	Stefano Parodi	[18]
9	Vito Pistoia	[18]
10	Claudio M. Rocco	[13]
11	Francesca Ruffino	[9] [12] [14] [15] [16] [21]
12	Giorgio Valentini	[9] [12] [16]

Colors in the list of coauthors