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2020 – today
- 2024
[j33]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:
A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy. Int. J. Medical Informatics 190: 105550 (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) - [c36]Claudio Muselli, Damiano Verda, Enrico Ferrari, Claire Thomas Gaggiotti, Marco Muselli:
Rulex Platform: leveraging domain knowledge and data-driven rules to support decisions in the fintech sector through eXplainable AI models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 305-312 - 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) - [c35]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 - [c34]Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Marco Muselli, Maurizio Mongelli:
Weighted Mutual Information for Out-Of-Distribution Detection. xAI (3) 2023: 318-331 - [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) - 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) - [c33]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 - 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) - 2020
- [c32]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 - [c31]Maurizio Mongelli, Marco Muselli, Mario Marchese:
A Unified View to Machine Learning and Control for Measurement-based Equivalent Bandwidth. DRCN 2020: 1-6
2010 – 2019
- 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) - [c30]Maurizio Mongelli, Marco Muselli, Enrico Ferrari:
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning. ICSRS 2019: 41-45 - [c29]Maurizio Mongelli, Marco Muselli, Andrea Scorzoni, Enrico Ferrari:
Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning. ICSRS 2019: 452-456 - 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) - [c28]Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari:
Identification of safety regions in vehicle platooning via machine learning. WFCS 2018: 1-4 - 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) - [c27]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
- [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) - [c26]Enrico Ferrari, Marco Muselli:
Implementing reliable learning through Reliable Support Vector Machines. FOCI 2011: 100-106 - 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) - [c25]Enrico Ferrari, Marco Muselli:
Maximizing pattern separation in discretizing continuous features for classification purposes. IJCNN 2010: 1-8 - [c24]Enrico Ferrari, Marco Muselli:
Switching Neural Network: An application to Regression Problems. WIRN 2010: 14-21
2000 – 2009
- 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) - [p2]Enrico Ferrari, Marco Muselli:
Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48 - 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) - [c23]Enrico Ferrari, Marco Muselli:
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability. CIBB 2008: 123-131 - [c22]Enrico Ferrari, Marco Muselli:
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks. ICANN (2) 2008: 744-753 - 2007
- [j12]Cristiano Cervellera, Marco Muselli:
Efficient sampling in approximate dynamic programming algorithms. Comput. Optim. Appl. 38(3): 417-443 (2007) - [c21]Marco Muselli, Francesca Ruffino:
Reliable Learning: A Theoretical Framework. KES (3) 2007: 174-183 - [c20]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
- [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) - [c19]Marco Muselli, Alfonso Quarati:
Reconstructing positive Boolean functions with shadow clustering. ECCTD 2005: 377-380 - [c18]Francesca Ruffino, Marco Muselli, Giorgio Valentini:
Biological Specifications for a Synthetic Gene Expression Data Generation Model. WILF 2005: 277-283 - [c17]Marco Muselli:
Approximation Properties of Positive Boolean Functions. WIRN/NAIS 2005: 18-22 - [c16]Marco Muselli:
Switching Neural Networks: A New Connectionist Model for Classification. WIRN/NAIS 2005: 23-30 - 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) - [c15]Marco Muselli, Francesca Ruffino:
Consistency of Empirical Risk Minimization for Unbounded Loss Functions. WIRN 2004: 261-270 - [c14]Claudio M. Rocco S., Marco Muselli:
Assessing the Reliability of Communication Networks Through Maghine Learning Techniques. WIRN 2004: 375-381 - 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) - [c13]Giancarlo Ferrari-Trecate, Marco Muselli:
Single-Linkage Clustering for Optimal Classification in Piecewise Affine Regression. ADHS 2003: 33-38 - [c12]Giorgio Valentini, Marco Muselli, Francesca Ruffino:
Bagged ensembles of Support Vector Machines for gene expression data analysis. IJCNN 2003: 1844-1849 - [c11]Cristiano Cervellera, Marco Muselli:
A Deterministic Learning Approch Based on Discrepancy. WIRN 2003: 53-60 - 2002
- [j6]Marco Muselli, Diego Liberati:
Binary Rule Generation via Hamming Clustering. IEEE Trans. Knowl. Data Eng. 14(6): 1258-1268 (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
1990 – 1999
- 1999
- [c3]Marco Muselli, Diego Liberati:
Hamming Clustering: A New Approach to Rule Extraction. IIA/SOCO 1999 - 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) - [c2]Marco Muselli:
Optimality of Pocket Algorithm. ICANN 1996: 507-512 - 1995
- [j2]Marco Muselli:
On sequential construction of binary neural networks. IEEE Trans. Neural Networks 6(3): 678-690 (1995) - [c1]Marco Muselli:
Is Pocket algorithm optimal? EuroCOLT 1995: 287-297 - 1992
- [j1]Marco Muselli, Sandro Ridella:
Global Optimization of Functions with the Interval Genetic Algorithm. Complex Syst. 6(3) (1992)
Coauthor Index
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