Valentina Colla

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 31

Top Topics

Production Scheduling

Genetic Algorithm

Imbalanced Datasets

Top Venues

Neural Process. Lett.

Publications

Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid
Unsupervised Anomaly Detection Combining PCA and Neural Gases. EANN (2024)
Stefano Dettori, Ismael Matino, Ruben Matino, Angelo Castellano, Valentina Colla, Lorenzo Vannini, Andreas Wolff, Dustin Schroeder, Valentin Baric
A Decision Support System for off-gas and steam optimal management in integrated steelworks. ICCAIS (2023)
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) (2023)
Marco Vannucci, Valentina Colla
A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning. IWANN (2) (2023)
Stefano Dettori, Ismael Matino, Valentina Colla, Ramon Speets
A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace. Neural Comput. Appl. 34 (2) (2022)
Vincenzo Iannino, Valentina Colla, Alessandro Maddaloni, Jens Brandenburger, Ahmad Rajabi, Andreas Wolff, Joaquín Ordieres, Miguel Gutierrez, Erwin Sirovnik, Dirk Mueller, Christoph Schirm
A hybrid approach for improving the flexibility of production scheduling in flat steel industry. Integr. Comput. Aided Eng. 29 (4) (2022)
Vincenzo Iannino, Claudio Mocci, Valentina Colla
A Brokering-Based Interaction Protocol for Dynamic Resource Allocation in Steel Production Processes. WorldCIST (4) (2021)
Marco Vannucci, Valentina Colla
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms. Neural Comput. Appl. 33 (23) (2021)
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)
Vincenzo Iannino, Valentina Colla, Alessandro Maddaloni, Jens Brandenburger, Ahmad Rajabi, Andreas Wolff, Joaquín Ordieres, Miguel Gutierrez, Erwin Sirovnik, Dirk Mueller, Christoph Schirm
Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives. AIAI (2021)
Ismael Matino, Stefano Dettori, Valentina Colla, Katharina Rechberger, Nina Kieberger
Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors. ESANN (2021)
Marco Vannucci, Valentina Colla, Stefano Dettori, Vincenzo Iannino
Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems. J. Intell. Syst. 29 (1) (2020)
Stefano Dettori, Ismael Matino, Valentina Colla, Ramon Speets
Deep Echo State Networks in Industrial Applications. AIAI (2) (2020)
Marco Vannucci, Valentina Colla, Silvia Cateni
Genetic Operators Impact on Genetic Algorithms Based Variable Selection. KES-IDT (2020)
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 (2020)
Marco Vannocci, Antonio Ritacco, Angelo Castellano, Filippo Galli, Marco Vannucci, Vincenzo Iannino, Valentina Colla
Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks. IWANN (2) (2019)
Marco Vannucci, Valentina Colla
Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. EANN (2019)
Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino
Reservoir Computing Approaches Applied to Energy Management in Industry. EANN (2019)
Marco Vannucci, Valentina Colla
Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques. KES-IDT (2) (2019)
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) (2018)
Marco Vannucci, Valentina Colla
Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. IJCNN (2018)
Claudio Mocci, Alessandro Maddaloni, Marco Vannucci, Silvia Cateni, Valentina Colla
A Dive into the Specific Electric Energy Consumption in Steelworks. WorldCIST (2) (2018)
Silvia Cateni, Valentina Colla, Marco Vannucci
A Fuzzy System for Combining Filter Features Selection Methods. Int. J. Fuzzy Syst. 19 (4) (2017)
Marco Vannucci, Valentina Colla
Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets. KES-IDT (2) (2017)
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) (2017)
Marco Vannucci, Valentina Colla, Vincenzo Iannino
Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel. IWANN (1) (2017)
Silvia Cateni, Valentina Colla
Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications. EANN (2016)
Alessandro Maddaloni, Valentina Colla, Gianluca Nastasi, Marco Del Seppia, Vincenzo Iannino
A Bin Packing Algorithm for Steel Production. EMS (2016)
Marco Vannucci, Valentina Colla
Smart Under-Sampling for the Detection of Rare Patterns in Unbalanced Datasets. KES-IDT (1) (2016)
Marco Vannucci, Valentina Colla
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. EANN (2016)
Valentina Colla, Gianluca Nastasi, Simone Baldetti, Marco Del Seppia, Scuola Superiore Sant'Anna
Multi-objective particle swarm optimization applied to distribution fitting for industrial data. RTSI (2016)
Silvia Cateni, Valentina Colla
Improving the stability of Sequential Forward variables selection. ISDA (2015)
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)
Marco Vannucci, Valentina Colla
Artificial Intelligence Based Techniques for Rare Patterns Detection in the Industrial Field. KES-IDT (2015)
Marco Vannucci, Valentina Colla
Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. J. Intell. Fuzzy Syst. 28 (4) (2015)
Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri
Artificial neural networks applied for estimating a probability density function. Intell. Data Anal. 19 (1) (2015)
Ismael Matino, Erika Alcamisi, Giacomo Filippo Porzio, Valentina Colla
Evaluation and Monitoring of Physico-Chemical Properties of Water Streams through Unconventional Techniques. EMS (2014)
Marco Vannocci, Valentina Colla, Piero Pulito, Michele Zagaria, Vincenzo Di Mastromatteo, Marco Saccone
Fuzzy Control of a Sintering Plant. IJCCI (FCTA) (2014)
Erika Alcamisi, Ismael Matino, Marco Vannocci, Valentina Colla
Simplified Ionic Representation of Industrial Water Streams. EMS (2014)
Valentina Colla, Enrico Dini, Giovanni Cesaretti, Xavier De Kestelier, Laurent Pambaguian
Monitoring Concepts for a 3D Printer Applied to Build a Human Outpost on the Moon. UKSim (2014)
Gianluca Nastasi, Valentina Colla, Marco Del Seppia
A Route Planning Optimisation System for the Steelmaking Industry Based on Multi-objective Evolutionary Algorithms. EMS (2014)
Marco Vannocci, Valentina Colla, Piero Pulito, Michele Zagaria, Vincenzo Di Mastromatteo, Marco Saccone
Fuzzy Control of a Sintering Plant Using the Charging Gates. IJCCI (Selected Papers) (2014)
Silvia Cateni, Valentina Colla, Marco Vannucci
A Hybrid Feature Selection Method for Classification Purposes. EMS (2014)
Silvia Cateni, Valentina Colla, Marco Vannucci
A method for resampling imbalanced datasets in binary classification tasks for real-world problems. Neurocomputing 135 (2014)
Marco Vannucci, Valentina Colla, Antonella Dimatteo
Improving the Estimation of Mean Flow Stress within Hot Rolling of Steel by Means of Different Artificial Intelligence Techniques. MIM (2013)
Valentina Colla, Gianluca Nastasi, Silvia Cateni, Marco Vannocci
Genetic Algorithms Applied to Discrete Distribution Fitting. EMS (2013)
Alessandro Amato, Valentina Colla, Giacomo Filippo Porzio, Nicola Matarese, Lisa Chiappelli
A CO2-Management Tool for Integrated Steelworks. UKSim (2013)
Valentina Colla, Nicola Matarese, Francesco Cervigni
Quality Improvement in Hot Dip Galvanizing Line through Hybrid Case-Based Reasoning System. UKSim (2013)
Silvia Cateni, Valentina Colla, Gianluca Nastasi
A multivariate fuzzy system applied for outliers detection. J. Intell. Fuzzy Syst. 24 (4) (2013)
Nicola Matarese, Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri
A procedure for the detection of anomalous input-output patterns. Intell. Data Anal. 17 (5) (2013)
Marco Vannucci, Valentina Colla, Marco Vannocci, Leonardo Maria Reyneri
Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. IPMU (2) (2012)
Valentina Colla, Nicola Matarese, Gianluca Nastasi
Prediction of under pickling defects on steel strip surface CoRR (2012)
Marco Vannucci, Valentina Colla, Marco Vannocci, Gianluca Nastasi
An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability. EMS (2012)
Leonardo Reyneri, Valentina Colla, Marco Vannucci
Estimate of a Probability Density Function through Neural Networks. IWANN (1) (2011)
Marco Vannucci, Valentina Colla
Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic. Appl. Soft Comput. 11 (2) (2011)
Marco Vannucci, Giacomo Filippo Porzio, Valentina Colla, Barbara Fornai
Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks. EMS (2011)
Valentina Colla, Marco Vannucci, Nicola Matarese, Gerard Stephens, Marco Pianezzola, Izaskun Alonso, Torsten Lamp, Juan Palacios, Siegfried Schiewe
Detection of Transients in Steel Casting through Standard and AI-Based Techniques. IWANN (1) (2011)
Silvia Cateni, Valentina Colla, Marco Vannucci
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. ISDA (2011)
Orlando Toscanelli, Valentina Colla, Z. Idoyaga Olano
Finite Element Simulation of Hot Cross Wedge Rolling of Steel Products. EMS (2010)
Alice Borselli, Valentina Colla, Marco Vannucci, Marco Veroli
A fuzzy inference system applied to defect detection in flat steel production. FUZZ-IEEE (2010)
Silvia Cateni, Valentina Colla, Marco Vannucci
A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. EMS (2010)
Valentina Colla, Gianluca Nastasi, Nicola Matarese
GADF - Genetic Algorithms for distribution fitting. ISDA (2010)
Valentina Colla, Gianluca Nastasi, Nicola Matarese, Leonardo Maria Reyneri
GA-based solutions comparison for warehouse storage optimization. Int. J. Hybrid Intell. Syst. 7 (4) (2010)
Marco Vannucci, Valentina Colla, Gianluca Nastasi, Nicola Matarese
Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem. EMS (2009)
Valentina Colla, Nicola Matarese, Leonardo Maria Reyneri
A Method to Point Out Anomalous Input-Output Patterns in a Database for Training Neuro-Fuzzy System with a Supervised Learning Rule. ISDA (2009)
Silvia Cateni, Valentina Colla, Marco Vannucci
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. ISDA (2009)
Valentina Colla, Gianluca Nastasi, Nicola Matarese, Leonardo Maria Reyneri
GA-Based Solutions Comparison for Storage Strategies Optimization for an Automated Warehouse. ISDA (2009)
Marco Vannucci, Valentina Colla, Leonardo Bendinelli, Marco Colombini, Rachele Massei, Silvia Ciulli
Three Little Pigs Discovering Materials - A Software for the Sensitization of Primary School Students to Environmental Themes. CSEDU (2) (2009)
Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, Marco Vannucci
Self-estimation of Data and Approximation Reliability through Neural Networks. IWANN (1) (2009)
Marco Vannucci, Valentina Colla, Mirko Sgarbi, Orlando Toscanelli
Thresholded Neural Networks for Sensitive Industrial Classification Tasks. IWANN (1) (2009)
Valentina Colla, Gianluca Nastasi, Nicola Matarese, Andrea Ucci
Simulation of an Automated Warehouse for Steel Tubes. UKSim (2008)
Valentina Colla, Gianluca Bioli, Marco Vannucci
Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms. EMS (2008)
Silvia Cateni, Valentina Colla, Marco Vannucci
A fuzzy logic-based method for outliers detection. Artificial Intelligence and Applications (2007)
Marco Vannucci, Valentina Colla
A Novel Classification Method for Predicting the Casting Behaviour in the Steelmaking Practice. Artificial Intelligence and Applications (2006)
Marco Vannucci, Valentina Colla
Meaningful discretization of continuous features for association rules mining by means of a SOM. ESANN (2004)
Marco Vannucci, Valentina Colla
Comparison of different classification methods on castabilty data coming from steelmaking practice. ESANN (2004)
Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi
Comparison of traditional and neural systems for train speed estimation. ESANN (2003)
Marco Vannucci, Valentina Colla, Gianluca Bioli, R. Valentini
Two Industrial Problems Solved through a Novel Optimization Algorithm. KES (2003)
Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi
Estimation of Train Speed via Neuro-Fuzzy Techniques. IWANN (2) (2003)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Training activation function in parametric classification. ESANN (2000)
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri
Neuro-Wavelet Parametric Modeling. IJCNN (4) (2000)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Neuro-wavelet parametric characterization of Jominy profiles of steels. Integr. Comput. Aided Eng. 7 (3) (2000)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Neuro-Wavelet Networks applied to Parametric Characterization of Jominy Profiles of Steels. IIA/SOCO (1999)
Benedetto Allotta, Valentina Colla, Gianluca Bioli
A Mechatronic Device for Simulating Push-Buttons and Knobs. ICMCS, Vol. 1 (1999)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Parametric Characterization of Hardness Profiles of Steels with Nero-Wavelet Networks. IWANN (2) (1999)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons. ESANN (1999)
Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
Neuro-wavelet parametric characterization of hardness profiles. ESANN (1999)
Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyneri
A comparison between weighted radial basis functions and wavelet networks. ESANN (1998)
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri, Angelo M. Sabatini
A neural approach to a sensor fusion problem. ESANN (1998)
Angelo M. Sabatini, Valentina Colla
A method for sonar based recognition of walking people. Robotics Auton. Syst. 25 (1-2) (1998)
Valentina Colla, Benedetto Allotta
Wavelet-Based Control of Penetration in a Mechatronic Drill for Orthopaedic Surgery. ICRA (1998)