Valentina Colla
Orcid: 0000-0002-9574-0575
According to our database1,
Valentina Colla
authored at least 98 papers
between 1998 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
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
A Decision Support System for off-gas and steam optimal management in integrated steelworks.
Proceedings of the 12th International Conference on Control, 2023
2022
A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace.
Neural Comput. Appl., 2022
A hybrid approach for improving the flexibility of production scheduling in flat steel industry.
Integr. Comput. Aided Eng., 2022
2021
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms.
Neural Comput. Appl., 2021
A Brokering-Based Interaction Protocol for Dynamic Resource Allocation in Steel Production Processes.
Proceedings of the Trends and Applications in Information Systems and Technologies, 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
Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 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
Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems.
J. Intell. Syst., 2020
CoRR, 2020
Proceedings of the Intelligent Decision Technologies, 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 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
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
SOM-Based Analysis to Relate Non-uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 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
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
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
Multi-objective particle swarm optimization applied to distribution fitting for industrial data.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016
Proceedings of the 2016 European Modelling Symposium, 2016
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions.
Proceedings of the Engineering Applications of Neural Networks, 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
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
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 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Proceedings of the FCTA 2014 - Proceedings of the International Conference on Fuzzy Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
A Route Planning Optimisation System for the Steelmaking Industry Based on Multi-objective Evolutionary Algorithms.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
Evaluation and Monitoring of Physico-Chemical Properties of Water Streams through Unconventional Techniques.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
2013
J. Intell. Fuzzy Syst., 2013
Intell. Data Anal., 2013
Quality Improvement in Hot Dip Galvanizing Line through Hybrid Case-Based Reasoning System.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 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
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 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
Int. J. Hybrid Intell. Syst., 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 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
GA-Based Solutions Comparison for Storage Strategies Optimization for an Automated Warehouse.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A Method to Point Out Anomalous Input-Output Patterns in a Database for Training Neuro-Fuzzy System with a Supervised Learning Rule.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 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
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 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
2000
Integr. Comput. Aided Eng., 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000
1999
Parametric Characterization of Hardness Profiles of Steels with Nero-Wavelet Networks.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Neuro-Wavelet Networks applied to Parametric Characterization of Jominy Profiles of Steels.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999
Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
1998
Proceedings of the IEEE International Conference on Robotics and Automation, 1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998