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Marco Muselli
2010 – today
- 2013
[j18]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 Bioinformatics 14(S-7): S12 (2013)- 2011
- [j17]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. Biology Bioinform. 8(5): 1385-1392 (2011)
- [j16]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): 37-50 (2011)
- [c19]Enrico Ferrari, Marco Muselli: Implementing reliable learning through Reliable Support Vector Machines. FOCI 2011: 100-106
- 2010
- [j15]Cristiano Cervellera, Danilo Macciò, Marco Muselli: Functional Optimization Through Semilocal Approximate Minimization. Operations Research 58(5): 1491-1504 (2010)
- [j14]Cristiano Cervellera, Danilo Macciò, Marco Muselli: Efficient global maximum likelihood estimation through kernel methods. Neural Networks 23(7): 917-925 (2010)
- [c18]Enrico Ferrari, Marco Muselli: Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN 2010: 1-8
- [c17]Enrico Ferrari, Marco Muselli: Switching Neural Network: An application to Regression Problems. WIRN 2010: 14-21
2000 – 2009
- 2009
- [j13]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)
- [p2]Enrico Ferrari, Marco Muselli: Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48
- 2008
- [j12]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)
- [j11]Francesca Ruffino, Marco Muselli, Giorgio Valentini: Gene expression modeling through positive boolean functions. Int. J. Approx. Reasoning 47(1): 97-108 (2008)
- [j10]Cristiano Cervellera, Danilo Macciò, Marco Muselli: Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. IEEE Transactions on Neural Networks 19(8): 1456-1467 (2008)
- [c16]Enrico Ferrari, Marco Muselli: A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131
- [c15]Enrico Ferrari, Marco Muselli: A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753
- 2007
- [j9]Cristiano Cervellera, Marco Muselli: Efficient sampling in approximate dynamic programming algorithms. Comp. Opt. and Appl. 38(3): 417-443 (2007)
- [c14]
- [c13]Francesca Ruffino, Massimiliano Costacurta, Marco Muselli: Evaluating Switching Neural Networks for Gene Selection. WILF 2007: 557-562
- [p1]Claudio M. Rocco Sanseverino, Marco Muselli: Network Reliability Assessment through Empirical Models Using a Machine Learning Approach. Intelligence in Reliability Engineering 2007: 145-174
- 2005
- [j8]Claudio M. Rocco Sanseverino, Marco Muselli: Approximate multi-state reliability expressions using a new machine learning technique. Rel. Eng. & Sys. Safety 89(3): 261-270 (2005)
- [c12]Francesca Ruffino, Marco Muselli, Giorgio Valentini: Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF 2005: 277-283
- [c11]
- [c10]Marco Muselli: Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS 2005: 23-30
- 2004
- [j7]Giorgio Valentini, Marco Muselli, Francesca Ruffino: Cancer recognition with bagged ensembles of support vector machines. Neurocomputing 56: 461-466 (2004)
- [j6]Claudio M. Rocco Sanseverino, Marco Muselli: Empirical models based on machine learning techniques for determining approximate reliability expressions. Rel. Eng. & Sys. Safety 83(3): 301-309 (2004)
- [j5]Cristiano Cervellera, Marco Muselli: Deterministic design for neural network learning: an approach based on discrepancy. IEEE Transactions on Neural Networks 15(3): 533-544 (2004)
- [c9]Marco Muselli, Francesca Ruffino: Consistency of Empirical Risk Minimization for Unbounded Loss Functions. WIRN 2004: 261-270
- [c8]M. Claudio, S. Rocco, Marco Muselli: Assessing the Reliability of Communication Networks Through Maghine Learning Techniques. WIRN 2004: 375-381
- 2003
- [j4]Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari: A clustering technique for the identification of piecewise affine systems. Automatica 39(2): 205-217 (2003)
- [c7]Cristiano Cervellera, Marco Muselli: A Deterministic Learning Approch Based on Discrepancy. WIRN 2003: 53-60
- 2002
- [j3]Marco Muselli, Diego Liberati: Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. 14(6): 1258-1268 (2002)
- [c6]Giancarlo Ferrari-Trecate, Marco Muselli: A New Learning Method for Piecewise Linear Regression. ICANN 2002: 444-449
- 2001
- [c5]Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari: A Clustering Technique for the Identification of Piecewise Affine Systems. HSCC 2001: 218-231
- 2000
- [c4]Marco Muselli: Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. IJCNN (1) 2000: 27-34
1990 – 1999
- 1999
- [c3]
- 1997
- [j2]Marco Muselli: On convergence properties of pocket algorithm. IEEE Trans. Neural Netw. Learning Syst. 8(3): 623-629 (1997)
- 1996
- [c2]
- 1995
- [j1]Marco Muselli: On sequential construction of binary neural networks. IEEE Trans. Neural Netw. Learning Syst. 6(3): 678-690 (1995)
- [c1]
Coauthor Index
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last updated on 2013-06-11 12:19 CEST by the dblp team