Silvia Cateni
Orcid: 0000-0002-5103-3481
According to our database1,
Silvia Cateni
authored at least 24 papers
between 2007 and 2023.
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Bibliography
2023
Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks.
Neural Process. Lett., October, 2023
2021
A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks.
Proceedings of the Advances in Computational Intelligence, 2021
2020
Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
CoRR, 2020
Proceedings of the Intelligent Decision Technologies, 2020
2019
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse.
J. Intell. Manuf., 2018
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018
2017
Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method.
Neural Process. Lett., 2017
Int. J. Fuzzy Syst., 2017
2016
The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications.
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015
2014
A method for resampling imbalanced datasets in binary classification tasks for real-world problems.
Neurocomputing, 2014
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
2013
J. Intell. Fuzzy Syst., 2013
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013
2011
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks.
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010
2009
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
2007
A fuzzy logic-based method for outliers detection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007