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2020 – today
- 2023
[j6]Silvia Cateni, Valentina Colla
, Marco Vannucci:
Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks. Neural Process. Lett. 55(5): 5331-5356 (2023)- 2021
- [c13]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks. IWANN (2) 2021: 248-259 - 2020
- [c12]Marco Vannucci, Valentina Colla, Silvia Cateni:
Genetic Operators Impact on Genetic Algorithms Based Variable Selection. KES-IDT 2020: 211-221 - [p4]Silvia Cateni, Valentina Colla, Vincenzo Iannino:
Improving the Stability of Variable Selection for Industrial Datasets. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 209-218 - [p3]Silvia Cateni, Valentina Colla, Antonella Vignali, Jens Brandenburger:
Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 219-228 - [i1]Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont, Annick Majchrowski, Asier Arteaga:
Quality4.0 - Transparent product quality supervision in the age of Industry 4.0. CoRR abs/2011.06502 (2020)
2010 – 2019
- 2019
- [c11]Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino:
Reservoir Computing Approaches Applied to Energy Management in Industry. EANN 2019: 66-79 - 2018
- [j5]Gianluca Nastasi, Valentina Colla, Silvia Cateni, Simone Campigli:
Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse. J. Intell. Manuf. 29(7): 1545-1557 (2018) - [c10]Claudio Mocci, Alessandro Maddaloni, Marco Vannucci, Silvia Cateni, Valentina Colla:
A Dive into the Specific Electric Energy Consumption in Steelworks. WorldCIST (2) 2018: 714-723 - [p2]Silvia Cateni, Valentina Colla:
A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context. Multidisciplinary Approaches to Neural Computing 2018: 173-180 - 2017
- [j4]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Fuzzy System for Combining Filter Features Selection Methods. Int. J. Fuzzy Syst. 19(4): 1168-1180 (2017) - [j3]Marco Vannucci, Valentina Colla, Silvia Cateni:
Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method. Neural Process. Lett. 46(3): 791-809 (2017) - 2016
- [c9]Silvia Cateni, Valentina Colla:
Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications. EANN 2016: 352-366 - [p1]Silvia Cateni, Valentina Colla:
The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context. Advances in Neural Networks 2016: 363-370 - 2015
- [c8]Silvia Cateni, Valentina Colla:
Improving the stability of Sequential Forward variables selection. ISDA 2015: 374-379 - [c7]Marco Vannucci, Valentina Colla, Silvia Cateni:
An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks. IWANN (2) 2015: 400-411 - 2014
- [j2]Silvia Cateni, Valentina Colla, Marco Vannucci:
A method for resampling imbalanced datasets in binary classification tasks for real-world problems. Neurocomputing 135: 32-41 (2014) - [c6]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Hybrid Feature Selection Method for Classification Purposes. EMS 2014: 39-44 - 2013
- [j1]Silvia Cateni, Valentina Colla, Gianluca Nastasi:
A multivariate fuzzy system applied for outliers detection. J. Intell. Fuzzy Syst. 24(4): 889-903 (2013) - [c5]Valentina Colla, Gianluca Nastasi, Silvia Cateni, Marco Vannocci:
Genetic Algorithms Applied to Discrete Distribution Fitting. EMS 2013: 30-35 - 2011
- [c4]Silvia Cateni, Valentina Colla, Marco Vannucci:
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. ISDA 2011: 402-407 - 2010
- [c3]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. EMS 2010: 63-67
2000 – 2009
- 2009
- [c2]Silvia Cateni, Valentina Colla, Marco Vannucci:
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. ISDA 2009: 1278-1283 - 2007
- [c1]Silvia Cateni, Valentina Colla, Marco Vannucci:
A fuzzy logic-based method for outliers detection. Artificial Intelligence and Applications 2007: 605-610
Coauthor Index
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