A neural approach to a sensor fusion problem. - Valentina Colla; Mirko Sgarbi; Leonardo Maria Reyneri; Angelo M. Sabatini (ESANN, 1998)

A comparison between weighted radial basis functions and wavelet networks. - Mirko Sgarbi; Valentina Colla; Leonardo Maria Reyneri (ESANN, 1998)

Wavelet-Based Control of Penetration in a Mechatronic Drill for Orthopaedic Surgery. - Valentina Colla; Benedetto Allotta (ICRA, 1998)

A method for sonar based recognition of walking people. - Angelo M. Sabatini; Valentina Colla (Robotics Auton. Syst., 1998)

Neuro-wavelet parametric characterization of hardness profiles. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (ESANN, 1999)

Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (ESANN, 1999)

A Mechatronic Device for Simulating Push-Buttons and Knobs. - Benedetto Allotta; Valentina Colla; Gianluca Bioli (ICMCS, Vol. 1, 1999)

Neuro-Wavelet Networks applied to Parametric Characterization of Jominy Profiles of Steels. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (IIA/SOCO, 1999)

Parametric Characterization of Hardness Profiles of Steels with Nero-Wavelet Networks. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (IWANN (2), 1999)

Training activation function in parametric classification. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (ESANN, 2000)

Neuro-Wavelet Parametric Modeling. - Valentina Colla; Mirko Sgarbi; Leonardo Maria Reyneri (IJCNN (4), 2000)

Neuro-wavelet parametric characterization of Jominy profiles of steels. - Valentina Colla; Leonardo Maria Reyneri; Mirko Sgarbi (Integr. Comput. Aided Eng., 2000)

Comparison of traditional and neural systems for train speed estimation. - Valentina Colla; Marco Vannucci; Benedetto Allotta; Monica Malvezzi (ESANN, 2003)

Estimation of Train Speed via Neuro-Fuzzy Techniques. - Valentina Colla; Marco Vannucci; Benedetto Allotta; Monica Malvezzi (IWANN (2), 2003)

Two Industrial Problems Solved through a Novel Optimization Algorithm. - Marco Vannucci; Valentina Colla; Gianluca Bioli; R. Valentini (KES, 2003)

Comparison of different classification methods on castabilty data coming from steelmaking practice. - Marco Vannucci; Valentina Colla (ESANN, 2004)

Meaningful discretization of continuous features for association rules mining by means of a SOM. - Marco Vannucci; Valentina Colla (ESANN, 2004)

A Novel Classification Method for Predicting the Casting Behaviour in the Steelmaking Practice. - Marco Vannucci; Valentina Colla (Artificial Intelligence and Applications, 2006)

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

Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms. - Valentina Colla; Gianluca Bioli; Marco Vannucci (EMS, 2008)

Simulation of an Automated Warehouse for Steel Tubes. - Valentina Colla; Gianluca Nastasi; Nicola Matarese; Andrea Ucci (UKSim, 2008)

Three Little Pigs Discovering Materials - A Software for the Sensitization of Primary School Students to Environmental Themes. - Marco Vannucci; Valentina Colla; Leonardo Bendinelli; Marco Colombini; Rachele Massei; Silvia Ciulli (CSEDU (2), 2009)

Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem. - Marco Vannucci; Valentina Colla; Gianluca Nastasi; Nicola Matarese (EMS, 2009)

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

A Method to Point Out Anomalous Input-Output Patterns in a Database for Training Neuro-Fuzzy System with a Supervised Learning Rule. - Valentina Colla; Nicola Matarese; Leonardo Maria Reyneri (ISDA, 2009)

GA-Based Solutions Comparison for Storage Strategies Optimization for an Automated Warehouse. - Valentina Colla; Gianluca Nastasi; Nicola Matarese; Leonardo Maria Reyneri (ISDA, 2009)

Self-estimation of Data and Approximation Reliability through Neural Networks. - Leonardo Maria Reyneri; Valentina Colla; Mirko Sgarbi; Marco Vannucci (IWANN (1), 2009)

Thresholded Neural Networks for Sensitive Industrial Classification Tasks. - Marco Vannucci; Valentina Colla; Mirko Sgarbi; Orlando Toscanelli (IWANN (1), 2009)

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

Finite Element Simulation of Hot Cross Wedge Rolling of Steel Products. - Orlando Toscanelli; Valentina Colla; Z. Idoyaga Olano (EMS, 2010)

A fuzzy inference system applied to defect detection in flat steel production. - Alice Borselli; Valentina Colla; Marco Vannucci; Marco Veroli (FUZZ-IEEE, 2010)

GADF - Genetic Algorithms for distribution fitting. - Valentina Colla; Gianluca Nastasi; Nicola Matarese (ISDA, 2010)

GA-based solutions comparison for warehouse storage optimization. - Valentina Colla; Gianluca Nastasi; Nicola Matarese; Leonardo Maria Reyneri (Int. J. Hybrid Intell. Syst., 2010)

Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks. - Marco Vannucci; Giacomo Filippo Porzio; Valentina Colla; Barbara Fornai (EMS, 2011)

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

Detection of Transients in Steel Casting through Standard and AI-Based Techniques. - Valentina Colla; Marco Vannucci; Nicola Matarese; Gerard Stephens; Marco Pianezzola; Izaskun Alonso; Torsten Lamp; Juan Palacios; Siegfried Schiewe (IWANN (1), 2011)

Estimate of a Probability Density Function through Neural Networks. - Leonardo Reyneri; Valentina Colla; Marco Vannucci (IWANN (1), 2011)

Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic. - Marco Vannucci; Valentina Colla (Appl. Soft Comput., 2011)

An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability. - Marco Vannucci; Valentina Colla; Marco Vannocci; Gianluca Nastasi (EMS, 2012)

Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. - Marco Vannucci; Valentina Colla; Marco Vannocci; Leonardo Maria Reyneri (IPMU (2), 2012)

Prediction of under pickling defects on steel strip surface - Valentina Colla; Nicola Matarese; Gianluca Nastasi (CoRR, 2012)

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

Improving the Estimation of Mean Flow Stress within Hot Rolling of Steel by Means of Different Artificial Intelligence Techniques. - Marco Vannucci; Valentina Colla; Antonella Dimatteo (MIM, 2013)

A CO2-Management Tool for Integrated Steelworks. - Alessandro Amato; Valentina Colla; Giacomo Filippo Porzio; Nicola Matarese; Lisa Chiappelli (UKSim, 2013)

Quality Improvement in Hot Dip Galvanizing Line through Hybrid Case-Based Reasoning System. - Valentina Colla; Nicola Matarese; Francesco Cervigni (UKSim, 2013)

A procedure for the detection of anomalous input-output patterns. - Nicola Matarese; Valentina Colla; Marco Vannucci; Leonardo Maria Reyneri (Intell. Data Anal., 2013)

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

Simplified Ionic Representation of Industrial Water Streams. - Erika Alcamisi; Ismael Matino; Marco Vannocci; Valentina Colla (EMS, 2014)

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

Evaluation and Monitoring of Physico-Chemical Properties of Water Streams through Unconventional Techniques. - Ismael Matino; Erika Alcamisi; Giacomo Filippo Porzio; Valentina Colla (EMS, 2014)

A Route Planning Optimisation System for the Steelmaking Industry Based on Multi-objective Evolutionary Algorithms. - Gianluca Nastasi; Valentina Colla; Marco Del Seppia (EMS, 2014)

Fuzzy Control of a Sintering Plant. - Marco Vannocci; Valentina Colla; Piero Pulito; Michele Zagaria; Vincenzo Di Mastromatteo; Marco Saccone (IJCCI (FCTA), 2014)

Fuzzy Control of a Sintering Plant Using the Charging Gates. - Marco Vannocci; Valentina Colla; Piero Pulito; Michele Zagaria; Vincenzo Di Mastromatteo; Marco Saccone (IJCCI (Selected Papers), 2014)

Monitoring Concepts for a 3D Printer Applied to Build a Human Outpost on the Moon. - Valentina Colla; Enrico Dini; Giovanni Cesaretti; Xavier De Kestelier; Laurent Pambaguian (UKSim, 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)

Artificial Intelligence Based Techniques for Rare Patterns Detection in the Industrial Field. - Marco Vannucci; Valentina Colla (KES-IDT, 2015)

Artificial neural networks applied for estimating a probability density function. - Valentina Colla; Marco Vannucci; Leonardo Maria Reyneri (Intell. Data Anal., 2015)

Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. - Marco Vannucci; Valentina Colla (J. Intell. Fuzzy Syst., 2015)

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

Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. - Marco Vannucci; Valentina Colla (EANN, 2016)

A Bin Packing Algorithm for Steel Production. - Alessandro Maddaloni; Valentina Colla; Gianluca Nastasi; Marco Del Seppia; Vincenzo Iannino (EMS, 2016)

Smart Under-Sampling for the Detection of Rare Patterns in Unbalanced Datasets. - Marco Vannucci; Valentina Colla (KES-IDT (1), 2016)

Multi-objective particle swarm optimization applied to distribution fitting for industrial data. - Valentina Colla; Gianluca Nastasi; Simone Baldetti; Marco Del Seppia; Scuola Superiore Sant'Anna (RTSI, 2016)

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

Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives. - Valentina Colla; Marco Vannucci; Leonardo M. Reyneri (Advances in Neural Networks, 2016)

Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel. - Marco Vannucci; Valentina Colla; Vincenzo Iannino (IWANN (1), 2017)

Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets. - Marco Vannucci; Valentina Colla (KES-IDT (2), 2017)

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)

Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. - Marco Vannucci; Valentina Colla (IJCNN, 2018)

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)

A Neural Network-Based Approach for Steam Turbine Monitoring. - Stefano Dettori; Valentina Colla; Giuseppe Salerno; Annamaria Signorini (Multidisciplinary Approaches to Neural Computing, 2018)

SOM-Based Analysis to Relate Non-uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions. - Gianluca Nastasi; Claudio Mocci; Valentina Colla; Frenk Van Den Berg; Willem Beugeling (Multidisciplinary Approaches to Neural Computing, 2018)

Advanced Neural Networks Systems for Unbalanced Industrial Datasets. - Marco Vannucci; 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)

Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. - Marco Vannucci; Valentina Colla (EANN, 2019)

Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks. - Marco Vannocci; Antonio Ritacco; Angelo Castellano; Filippo Galli; Marco Vannucci; Vincenzo Iannino; Valentina Colla (IWANN (2), 2019)

Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques. - Marco Vannucci; Valentina Colla (KES-IDT (2), 2019)

Deep Echo State Networks in Industrial Applications. - Stefano Dettori; Ismael Matino; Valentina Colla; Ramon Speets (AIAI (2), 2020)

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)

Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems. - Marco Vannucci; Valentina Colla; Stefano Dettori; Vincenzo Iannino (J. Intell. Syst., 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)

Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors. - Ismael Matino; Stefano Dettori; Valentina Colla; Katharina Rechberger; Nina Kieberger (ESANN, 2021)

Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives. - Vincenzo Iannino; Valentina Colla; Alessandro Maddaloni; Jens Brandenburger; Ahmad Rajabi; Andreas Wolff; Joaquín Ordieres; Miguel Gutierrez 001; Erwin Sirovnik; Dirk Mueller; Christoph Schirm (AIAI, 2021)

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)

A Brokering-Based Interaction Protocol for Dynamic Resource Allocation in Steel Production Processes. - Vincenzo Iannino; Claudio Mocci; Valentina Colla (WorldCIST (4), 2021)

Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms. - Marco Vannucci; Valentina Colla (Neural Comput. Appl., 2021)

A hybrid approach for improving the flexibility of production scheduling in flat steel industry. - Vincenzo Iannino; Valentina Colla; Alessandro Maddaloni; Jens Brandenburger; Ahmad Rajabi; Andreas Wolff; Joaquín Ordieres; Miguel Gutierrez 001; Erwin Sirovnik; Dirk Mueller; Christoph Schirm (Integr. Comput. Aided Eng., 2022)

A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace. - Stefano Dettori; Ismael Matino; Valentina Colla; Ramon Speets (Neural Comput. Appl., 2022)

A Decision Support System for off-gas and steam optimal management in integrated steelworks. - Stefano Dettori; Ismael Matino; Ruben Matino; Angelo Castellano; Valentina Colla; Lorenzo Vannini; Andreas Wolff; Dustin Schroeder; Valentin Baric (ICCAIS, 2023)

A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning. - Marco Vannucci; Valentina Colla (IWANN (2), 2023)

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)

Unsupervised Anomaly Detection Combining PCA and Neural Gases. - Marco Vannucci; Valentina Colla; Antonella Zaccara; Stefano Dettori; Laura Laid (EANN, 2024)

Automatic Surveillance of Accelerated Cooling Line Against Cyber-Attacks and Faults. - Stefano Dettori; Vincenzo Iannino; Lorenzo Vannini; Valentina Colla; Francesco Ferraris (RTSI, 2024)

Automating grapevine LAI features estimation with UAV imagery and machine learning. - Muhammad Waseem Akram 004; Marco Vannucci; Giorgio C. Buttazzo; Valentina Colla; Stefano Roccella; Andrea Vannini; Giovanni Caruso; Simone Nesi; Alessandra Francini; Luca Sebastiani (CoRR, 2024)

ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition. - Muhammad Waseem Akram 004; Stefano Dettori; Valentina Colla; Giorgio Carlo Buttazzo (CoRR, 2025)