Marco Vannucci
Orcid: 0000-0002-6115-1588Affiliations:
- Sant'Anna School of Advanced Studies, Pisa, Italy
According to our database1,
Marco Vannucci
authored at least 56 papers
between 2003 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on percro.org
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on ict-coisp.it
On csauthors.net:
Bibliography
2023
Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks.
Neural Process. Lett., October, 2023
A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning.
Proceedings of the Advances in Computational Intelligence, 2023
2022
IEEE Robotics Autom. Lett., 2022
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022
2021
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms.
Neural Comput. Appl., 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
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems.
J. Intell. Syst., 2020
CoRR, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Proceedings of the Intelligent Decision Technologies, 2020
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions.
Proceedings of the Cloud Computing and Services Science - 10th International Conference, 2020
Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020
2019
Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques.
Proceedings of the Intelligent Decision Technologies 2019, 2019
Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018
Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 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
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017
Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel.
Proceedings of the Advances in Computational Intelligence, 2017
2016
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions.
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance.
J. Intell. Fuzzy Syst., 2015
Intell. Data Anal., 2015
Artificial Intelligence Based Techniques for Rare Patterns Detection in the Industrial Field.
Proceedings of the Intelligent Decision Technologies, 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
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
Intell. Data Anal., 2013
Improving the Estimation of Mean Flow Stress within Hot Rolling of Steel by Means of Different Artificial Intelligence Techniques.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
2012
Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets.
Proceedings of the Advances on Computational Intelligence, 2012
An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability.
Proceedings of the Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012
2011
Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic.
Appl. Soft Comput., 2011
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Advances in Computational Intelligence, 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
Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks.
Proceedings of the UKSim 5th European Symposium on Computer Modeling and Simulation, 2011
2010
Proceedings of the FUZZ-IEEE 2010, 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
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 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
Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem.
Proceedings of the EMS 2009, 2009
Three Little Pigs Discovering Materials - A Software for the Sensitization of Primary School Students to Environmental Themes.
Proceedings of the CSEDU 2009 - Proceedings of the First International Conference on Computer Supported Education, Lisboa, Portugal, March 23-26, 2009, 2009
2008
Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms.
Proceedings of the EMS 2008, 2008
2007
A fuzzy logic-based method for outliers detection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
2006
A Novel Classification Method for Predicting the Casting Behaviour in the Steelmaking Practice.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006
2004
Meaningful discretization of continuous features for association rules mining by means of a SOM.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Comparison of different classification methods on castabilty data coming from steelmaking practice.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003