| 2026 | ESANN | Variational Deep Embedding for Unsupervised Clustering of Industrial Noise in Steelmaking Plants. | Muhammad Waseem Akram, Marco Vannucci, Giorgio Carlo Buttazzo, Valentina Colla, Stefano Dettori, Donatella Salvatore |
| 2024 | EANN | Unsupervised Anomaly Detection Combining PCA and Neural Gases. | Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid |
| 2023 | IWANN | A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning. | Marco Vannucci, Valentina Colla |
| 2021 | CCGRID | Forecasting Operation Metrics for Virtualized Network Functions. | Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Filippo Galli, Vincenzo Iannino, Marco Vannucci, Antonino Artale, Joo Barata, Enrica Sposato |
| 2021 | IWANN | A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks. | Silvia Cateni, Valentina Colla, Marco Vannucci |
| 2020 | CLOSER | Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach. | Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Marco Vannucci, Antonino Artale, Joo Barata, Enrica Sposato, Luca Basili |
| 2020 | CLOSER | Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions. | Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, Joo Barata, Enrica Sposato |
| 2020 | SAC | SOM-based behavioral analysis for virtualized network functions. | Giacomo Lanciano, Antonio Ritacco, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, Luca Basili, Enrica Sposato, Joo Barata |
| 2019 | EANN | Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. | Marco Vannucci, Valentina Colla |
| 2019 | IWANN | 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 |
| 2018 | IJCNN | Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. | Marco Vannucci, Valentina Colla |
| 2018 | WorldCIST | A Dive into the Specific Electric Energy Consumption in Steelworks. | Claudio Mocci, Alessandro Maddaloni, Marco Vannucci, Silvia Cateni, Valentina Colla |
| 2017 | IWANN | Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel. | Marco Vannucci, Valentina Colla, Vincenzo Iannino |
| 2016 | EANN | Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. | Marco Vannucci, Valentina Colla |
| 2015 | IWANN | An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks. | Marco Vannucci, Valentina Colla, Silvia Cateni |
| 2012 | IPMU | Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. | Marco Vannucci, Valentina Colla, Marco Vannocci, Leonardo Maria Reyneri |
| 2011 | ISDA | Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. | Silvia Cateni, Valentina Colla, Marco Vannucci |
| 2011 | IWANN | 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 |
| 2011 | IWANN | Estimate of a Probability Density Function through Neural Networks. | Leonardo Reyneri, Valentina Colla, Marco Vannucci |
| 2009 | CSEDU | 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 |
| 2009 | ISDA | General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. | Silvia Cateni, Valentina Colla, Marco Vannucci |
| 2009 | IWANN | Self-estimation of Data and Approximation Reliability through Neural Networks. | Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, Marco Vannucci |
| 2009 | IWANN | Thresholded Neural Networks for Sensitive Industrial Classification Tasks. | Marco Vannucci, Valentina Colla, Mirko Sgarbi, Orlando Toscanelli |
| 2004 | ESANN | Comparison of different classification methods on castabilty data coming from steelmaking practice. | Marco Vannucci, Valentina Colla |
| 2004 | ESANN | Meaningful discretization of continuous features for association rules mining by means of a SOM. | Marco Vannucci, Valentina Colla |
| 2003 | ESANN | Comparison of traditional and neural systems for train speed estimation. | Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi |
| 2003 | IWANN | Estimation of Train Speed via Neuro-Fuzzy Techniques. | Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi |
| 2003 | KES | Two Industrial Problems Solved through a Novel Optimization Algorithm. | Marco Vannucci, Valentina Colla, Gianluca Bioli, R. Valentini |