Marco Vannucci

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 29

Top Topics

Variable Selection

Anomaly Detection

Genetic Algorithm

Top Venues

Publications

Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid
Unsupervised Anomaly Detection Combining PCA and Neural Gases. EANN (2024)
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)
Edwin Paul Herrera Alarcón, Massimo Satler, Marco Vannucci, Carlo Alberto Avizzano
GNGraph: Self-Organizing Maps for Autonomous Aerial Vehicle Planning. IEEE Robotics Autom. Lett. 7 (4) (2022)
Arman Derstepanians, Marco Vannucci, Tommaso Cucinotta, Avhad Kiran Sahebrao, Sourav Lahiri, Antonino Artale, Silvia Fichera
Near Real-Time Anomaly Detection in NFV Infrastructures. NFV-SDN (2022)
Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Filippo Galli, Vincenzo Iannino, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato
Forecasting Operation Metrics for Virtualized Network Functions. CCGRID (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)
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)
Marco Vannucci, Valentina Colla, Silvia Cateni
Genetic Operators Impact on Genetic Algorithms Based Variable Selection. KES-IDT (2020)
Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions. CLOSER (Selected Papers) (2020)
Giacomo Lanciano, Antonio Ritacco, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, Luca Basili, Enrica Sposato, João Barata
SOM-based behavioral analysis for virtualized network functions. SAC (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)
Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato, Luca Basili
Behavioral Analysis for Virtualized Network Functions: A SOM-based Approach. CLOSER (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)
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)
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)
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)
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)
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)
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)
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)
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)
Marco Vannucci, Valentina Colla, Gianluca Nastasi, Nicola Matarese
Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem. EMS (2009)
Silvia Cateni, Valentina Colla, Marco Vannucci
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. 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 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)