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)

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)

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)

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

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

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

A method for resampling imbalanced datasets in binary classification tasks for real-world problems. - Silvia Cateni; Valentina Colla; Marco Vannucci (Neurocomputing, 2014)

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)

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

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

Advanced Neural Networks Systems for Unbalanced Industrial Datasets. - Marco Vannucci; Valentina Colla (Multidisciplinary Approaches to Neural Computing, 2018)

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)

Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach. - Tommaso Cucinotta; Giacomo Lanciano; Antonio Ritacco; Marco Vannucci; Antonino Artale; João Barata; Enrica Sposato; Luca Basili (CLOSER, 2020)

Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions. - Giacomo Lanciano; Antonio Ritacco; Fabio Brau; Tommaso Cucinotta; Marco Vannucci; Antonino Artale; João Barata; Enrica Sposato (CLOSER (Selected Papers), 2020)

Genetic Operators Impact on Genetic Algorithms Based Variable Selection. - Marco Vannucci; Valentina Colla; Silvia Cateni (KES-IDT, 2020)

SOM-based behavioral analysis for virtualized network functions. - Giacomo Lanciano; Antonio Ritacco; Tommaso Cucinotta; Marco Vannucci; Antonino Artale; Luca Basili; Enrica Sposato; João Barata (SAC, 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)

Forecasting Operation Metrics for Virtualized Network Functions. - Tommaso Cucinotta; Giacomo Lanciano; Antonio Ritacco; Fabio Brau; Filippo Galli; Vincenzo Iannino; Marco Vannucci; Antonino Artale; João Barata; Enrica Sposato (CCGRID, 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)

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

Near Real-Time Anomaly Detection in NFV Infrastructures. - Arman Derstepanians; Marco Vannucci; Tommaso Cucinotta; Avhad Kiran Sahebrao; Sourav Lahiri; Antonino Artale; Silvia Fichera (NFV-SDN, 2022)

GNGraph: Self-Organizing Maps for Autonomous Aerial Vehicle Planning. - Edwin Paúl Herrera-Alarcón; Massimo Satler; Marco Vannucci; Carlo Alberto Avizzano (IEEE Robotics Autom. Lett., 2022)

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)

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)