A fuzzy logic-based method for outliers detection. - Silvia Cateni; Valentina Colla; Marco Vannucci (Artificial Intelligence and Applications, 2007)

General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. - Silvia Cateni; Valentina Colla; Marco Vannucci (ISDA, 2009)

A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. - Silvia Cateni; Valentina Colla; Marco Vannucci (EMS, 2010)

Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. - Silvia Cateni; Valentina Colla; Marco Vannucci (ISDA, 2011)

Genetic Algorithms Applied to Discrete Distribution Fitting. - Valentina Colla; Gianluca Nastasi; Silvia Cateni; Marco Vannocci (EMS, 2013)

A multivariate fuzzy system applied for outliers detection. - Silvia Cateni; Valentina Colla; Gianluca Nastasi (J. Intell. Fuzzy Syst., 2013)

A Hybrid Feature Selection Method for Classification Purposes. - Silvia Cateni; Valentina Colla; Marco Vannucci (EMS, 2014)

A method for resampling imbalanced datasets in binary classification tasks for real-world problems. - Silvia Cateni; Valentina Colla; Marco Vannucci (Neurocomputing, 2014)

Improving the stability of Sequential Forward variables selection. - Silvia Cateni; Valentina Colla (ISDA, 2015)

An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks. - Marco Vannucci; Valentina Colla; Silvia Cateni (IWANN (2), 2015)

Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications. - Silvia Cateni; Valentina Colla (EANN, 2016)

The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context. - Silvia Cateni; Valentina Colla (Advances in Neural Networks, 2016)

A Fuzzy System for Combining Filter Features Selection Methods. - Silvia Cateni; Valentina Colla; Marco Vannucci (Int. J. Fuzzy Syst., 2017)

Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method. - Marco Vannucci; Valentina Colla; Silvia Cateni (Neural Process. Lett., 2017)

A Dive into the Specific Electric Energy Consumption in Steelworks. - Claudio Mocci; Alessandro Maddaloni; Marco Vannucci; Silvia Cateni; Valentina Colla (WorldCIST (2), 2018)

Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse. - Gianluca Nastasi; Valentina Colla; Silvia Cateni; Simone Campigli (J. Intell. Manuf., 2018)

A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context. - Silvia Cateni; Valentina Colla (Multidisciplinary Approaches to Neural Computing, 2018)

Reservoir Computing Approaches Applied to Energy Management in Industry. - Valentina Colla; Ismael Matino; Stefano Dettori; Silvia Cateni; Ruben Matino (EANN, 2019)

Genetic Operators Impact on Genetic Algorithms Based Variable Selection. - Marco Vannucci; Valentina Colla; Silvia Cateni (KES-IDT, 2020)

Quality4.0 - Transparent product quality supervision in the age of Industry 4.0. - Jens Brandenburger; Christoph Schirm; Josef Melcher; Edgar Hancke; Marco Vannucci; Valentina Colla; Silvia Cateni; Rami Sellami; Sébastien Dupont; Annick Majchrowski; Asier Arteaga (CoRR, 2020)

Improving the Stability of Variable Selection for Industrial Datasets. - Silvia Cateni; Valentina Colla; Vincenzo Iannino (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement. - Silvia Cateni; Valentina Colla; Antonella Vignali; Jens Brandenburger (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks. - Silvia Cateni; Valentina Colla; Marco Vannucci (IWANN (2), 2021)

Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks. - Silvia Cateni; Valentina Colla; Marco Vannucci (Neural Process. Lett., 2023)