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Marco Muselli
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Journal Articles
- 2024
- [j32]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): 420-434 (2024) - 2023
- [j31]Sara Narteni
, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli:
Trustworthy artificial intelligence classification-based equivalent bandwidth control. Comput. Commun. 209: 260-272 (2023) - [j30]Enrico Ferrari
, Damiano Verda
, Nicolò Pinna
, Marco Muselli
:
Optimizing Water Distribution through Explainable AI and Rule-Based Control. Comput. 12(6): 123 (2023) - 2022
- [j29]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): 2453-2487 (2022) - 2021
- [j28]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): 6526 (2021) - 2019
- [j27]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. 20-S(9): 390:1-390:13 (2019) - [j26]Maurizio Mongelli
, Enrico Ferrari
, Marco Muselli, Alessandro Fermi:
Performance validation of vehicle platooning through intelligible analytics. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 120-127 (2019) - [j25]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) - 2018
- [j24]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): 54-65 (2018) - 2015
- [j23]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): S3 (2015) - 2014
- [j22]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): S4 (2014) - 2013
- [j21]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): S12 (2013) - 2011
- [j20]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): 1385-1392 (2011) - [j19]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) - 2010
- [j18]Cristiano Cervellera, Danilo Macciò
, Marco Muselli:
Functional Optimization Through Semilocal Approximate Minimization. Oper. Res. 58(5): 1491-1504 (2010) - [j17]Cristiano Cervellera, Danilo Macciò
, Marco Muselli:
Efficient global maximum likelihood estimation through kernel methods. Neural Networks 23(7): 917-925 (2010) - 2009
- [j16]Marco Muselli, Massimiliano Costacurta, Francesca Ruffino:
Evaluating switching neural networks through artificial and real gene expression data. Artif. Intell. Medicine 45(2-3): 163-171 (2009) - 2008
- [j15]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) - [j14]Francesca Ruffino, Marco Muselli, Giorgio Valentini
:
Gene expression modeling through positive boolean functions. Int. J. Approx. Reason. 47(1): 97-108 (2008) - [j13]Cristiano Cervellera, Danilo Macciò
, Marco Muselli:
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. IEEE Trans. Neural Networks 19(8): 1456-1467 (2008) - 2007
- [j12]Cristiano Cervellera, Marco Muselli:
Efficient sampling in approximate dynamic programming algorithms. Comput. Optim. Appl. 38(3): 417-443 (2007) - 2005
- [j11]Claudio M. Rocco Sanseverino, Marco Muselli:
Approximate multi-state reliability expressions using a new machine learning technique. Reliab. Eng. Syst. Saf. 89(3): 261-270 (2005) - 2004
- [j10]Giorgio Valentini
, Marco Muselli, Francesca Ruffino:
Cancer recognition with bagged ensembles of support vector machines. Neurocomputing 56: 461-466 (2004) - [j9]Claudio M. Rocco Sanseverino, Marco Muselli:
Empirical models based on machine learning techniques for determining approximate reliability expressions. Reliab. Eng. Syst. Saf. 83(3): 301-309 (2004) - [j8]Cristiano Cervellera, Marco Muselli:
Deterministic design for neural network learning: an approach based on discrepancy. IEEE Trans. Neural Networks 15(3): 533-544 (2004) - 2003
- [j7]Giancarlo Ferrari-Trecate
, Marco Muselli, Diego Liberati, Manfred Morari:
A clustering technique for the identification of piecewise affine systems. Autom. 39(2): 205-217 (2003) - 2002
- [j6]Marco Muselli, Diego Liberati:
Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. 14(6): 1258-1268 (2002) - 1997
- [j5]Marco Muselli:
A Theoretical Approach to Restart in Global Optimization. J. Glob. Optim. 10(1): 1-16 (1997) - [j4]Marco Muselli:
On convergence properties of pocket algorithm. IEEE Trans. Neural Networks 8(3): 623-629 (1997) - 1996
- [j3]Luciano Milanesi
, Marco Muselli, P. Arrigo:
Hamming-Clustering method for signals prediction in 5' and 3' regions of eukaryotic genes. Comput. Appl. Biosci. 12(5): 399-404 (1996) - 1995
- [j2]Marco Muselli:
On sequential construction of binary neural networks. IEEE Trans. Neural Networks 6(3): 678-690 (1995) - 1992
- [j1]Marco Muselli, Sandro Ridella:
Global Optimization of Functions with the Interval Genetic Algorithm. Complex Syst. 6(3) (1992)
Conference and Workshop Papers
- 2023
- [c34]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: 485-487 - [c33]Giacomo De Bernardi, Sara Narteni
, Enrico Cambiaso
, Marco Muselli, Maurizio Mongelli:
Weighted Mutual Information for Out-Of-Distribution Detection. xAI (3) 2023: 318-331 - 2022
- [c32]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: 33-42 - 2020
- [c31]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: 273-279 - [c30]Maurizio Mongelli, Marco Muselli, Mario Marchese:
A Unified View to Machine Learning and Control for Measurement-based Equivalent Bandwidth. DRCN 2020: 1-6 - 2019
- [c29]Maurizio Mongelli, Marco Muselli, Enrico Ferrari
:
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS 2019: 41-45 - [c28]Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari
:
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS 2019: 452-456 - 2018
- [c27]Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari
:
Identification of safety regions in vehicle platooning via machine learning. WFCS 2018: 1-4 - 2013
- [c26]Stefano Parodi
, Vito Pistoia, Marco Muselli:
Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments. CIBB 2013: 238-247 - 2011
- [c25]Enrico Ferrari
, Marco Muselli:
Implementing reliable learning through Reliable Support Vector Machines. FOCI 2011: 100-106 - 2010
- [c24]Enrico Ferrari
, Marco Muselli:
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN 2010: 1-8 - [c23]Enrico Ferrari
, Marco Muselli:
Switching Neural Network: An application to Regression Problems. WIRN 2010: 14-21 - 2008
- [c22]Enrico Ferrari
, Marco Muselli:
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131 - [c21]Enrico Ferrari
, Marco Muselli:
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753 - 2007
- [c20]Marco Muselli, Francesca Ruffino:
Reliable Learning: A Theoretical Framework. KES (3) 2007: 174-183 - [c19]Francesca Ruffino, Massimiliano Costacurta, Marco Muselli:
Evaluating Switching Neural Networks for Gene Selection. WILF 2007: 557-562 - 2005
- [c18]Marco Muselli, Alfonso Quarati
:
Reconstructing positive Boolean functions with shadow clustering. ECCTD 2005: 377-380 - [c17]Francesca Ruffino, Marco Muselli, Giorgio Valentini
:
Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF 2005: 277-283 - [c16]Marco Muselli:
Approximation Properties of Positive Boolean Functions. WIRN/NAIS 2005: 18-22 - [c15]Marco Muselli:
Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS 2005: 23-30 - 2004
- [c14]Marco Muselli, Francesca Ruffino:
Consistency of Empirical Risk Minimization for Unbounded Loss Functions. WIRN 2004: 261-270 - [c13]Claudio M. Rocco S., Marco Muselli:
Assessing the Reliability of Communication Networks Through Maghine Learning Techniques. WIRN 2004: 375-381 - 2003
- [c12]Giancarlo Ferrari-Trecate
, Marco Muselli:
Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression. ADHS 2003: 33-38 - [c11]Cristiano Cervellera, Marco Muselli:
A Deterministic Learning Approch Based on Discrepancy. WIRN 2003: 53-60 - 2002
- [c10]Giancarlo Ferrari-Trecate, Marco Muselli:
A New Learning Method for Piecewise Linear Regression. ICANN 2002: 444-449 - 2001
- [c9]Giancarlo Ferrari-Trecate
, Marco Muselli, Diego Liberati, Manfred Morari:
Identification of piecewise affine and hybrid systems. ACC 2001: 3521-3526 - [c8]Giancarlo Ferrari-Trecate, Marco Muselli, Diego Liberati, Manfred Morari:
A Clustering Technique for the Identification of Piecewise Affine Systems. HSCC 2001: 218-231 - [c7]Gian Paolo Drago, Marco Muselli:
Detecting uncertainty regions for characterizing classification problems. WIRN 2001: 102-107 - [c6]Gian Paolo Drago, Marco Muselli:
Support Vector Machines for uncertainty region detection. WIRN 2001: 108-113 - [c5]Giancarlo Ferrari-Trecate
, Marco Muselli, Diego Liberati, Manfred Morari:
A Learning Algorithm for Piecewise Linear Regression. WIRN 2001: 114-119 - 2000
- [c4]Marco Muselli:
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm. IJCNN (1) 2000: 27-34 - 1999
- [c3]Marco Muselli, Diego Liberati:
Hamming Clustering: A New Approach to Rule Extraction. IIA/SOCO 1999 - 1996
- [c2]Marco Muselli:
Optimality of Pocket Algorithm. ICANN 1996: 507-512 - 1995
- [c1]Marco Muselli:
Is Pocket algorithm optimal? EuroCOLT 1995: 287-297
Parts in Books or Collections
- 2009
- [p2]Enrico Ferrari
, Marco Muselli:
Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48 - 2007
- [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
Informal and Other Publications
- 2023
- [i1]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 abs/2309.01778 (2023)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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