Marco Muselli
Orcid: 0000-0002-9999-2331
According to our database1,
Marco Muselli
authored at least 67 papers
between 1992 and 2023.
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Bibliography
2023
Trustworthy artificial intelligence classification-based equivalent bandwidth control.
Comput. Commun., September, 2023
Comput., June, 2023
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
CoRR, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023
2022
VAMPIRE: vectorized automated ML pre-processing and post-processing framework for edge applications.
Computing, 2022
A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks.
Proceedings of the Advances in System-Integrated Intelligence, 2022
2021
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge.
Sensors, 2021
2020
A Unified View to Machine Learning and Control for Measurement-based Equivalent Bandwidth.
Proceedings of the 16th International Conference on the Design of Reliable Communication Networks, 2020
Porting Rulex Machine Learning Software to the Raspberry Pi as an Edge Computing Device.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2020
2019
Unsupervised learning and rule extraction for Domain Name Server tunneling detection.
Internet Technol. Lett., 2019
IET Cyper-Phys. Syst.: Theory & Appl., 2019
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.
BMC Bioinform., 2019
Proceedings of the 4th International Conference on System Reliability and Safety, 2019
Achieving Zero Collision Probability in Vehicle Platooning under Cyber Attacks via Machine Learning.
Proceedings of the 4th International Conference on System Reliability and Safety, 2019
2018
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables.
Health Informatics J., 2018
Proceedings of the 14th IEEE International Workshop on Factory Communication Systems, 2018
2015
BMC Bioinform., 2015
2014
Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients.
BMC Bioinform., 2014
2013
Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients.
BMC Bioinform., 2013
Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013
2011
Coupling Logical Analysis of Data and Shadow Clustering for Partially Defined Positive Boolean Function Reconstruction.
IEEE Trans. Knowl. Data Eng., 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011
2010
Neural Networks, 2010
Proceedings of the Neural Nets WIRN10, 2010
Maximizing pattern separation in discretizing continuous features for classification purposes.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Constructive Neural Networks, 2009
Evaluating switching neural networks through artificial and real gene expression data.
Artif. Intell. Medicine, 2009
2008
IEEE Trans. Neural Networks, 2008
Int. J. Approx. Reason., 2008
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments.
BMC Bioinform., 2008
A Constructive Technique Based on Linear Programming for Training Switching Neural Networks.
Proceedings of the Artificial Neural Networks, 2008
A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008
2007
Network Reliability Assessment through Empirical Models Using a Machine Learning Approach.
Proceedings of the Intelligence in Reliability Engineering: New Metaheuristics, 2007
Comput. Optim. Appl., 2007
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
2005
Approximate multi-state reliability expressions using a new machine learning technique.
Reliab. Eng. Syst. Saf., 2005
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005
2004
IEEE Trans. Neural Networks, 2004
Empirical models based on machine learning techniques for determining approximate reliability expressions.
Reliab. Eng. Syst. Saf., 2004
Neurocomputing, 2004
Proceedings of the Biological and Artificial Intelligence Environments, 2004
Assessing the Reliability of Communication Networks Through Maghine Learning Techniques.
Proceedings of the Biological and Artificial Intelligence Environments, 2004
2003
Autom., 2003
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003
Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems, 2003
2002
Proceedings of the Artificial Neural Networks, 2002
2001
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
Proceedings of the American Control Conference, 2001
2000
Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Hamming Clustering: A New Approach to Rule Extraction.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999
1997
1996
Hamming-Clustering method for signals prediction in 5' and 3' regions of eukaryotic genes.
Comput. Appl. Biosci., 1996
1995
IEEE Trans. Neural Networks, 1995
Proceedings of the Computational Learning Theory, Second European Conference, 1995
1992
Complex Syst., 1992