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ORCIDMarco Vannucci
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- affiliation: Sant'Anna School of Advanced Studies, Pisa, Italy
- not to be confused with: Marco Vannocci
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Journal Articles
- 2023
[j11]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): 5331-5356 (2023)- 2022
- [j10]Edwin Paúl Herrera-Alarcón, Massimo Satler, Marco Vannucci, Carlo Alberto Avizzano:
GNGraph: Self-Organizing Maps for Autonomous Aerial Vehicle Planning. IEEE Robotics Autom. Lett. 7(4): 10721-10728 (2022) - 2021
- [j9]Marco Vannucci, Valentina Colla:
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms. Neural Comput. Appl. 33(23): 16451-16470 (2021) - 2020
- [j8]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): 409-422 (2020) - 2017
- [j7]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Fuzzy System for Combining Filter Features Selection Methods. Int. J. Fuzzy Syst. 19(4): 1168-1180 (2017) - [j6]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): 791-809 (2017) - 2015
- [j5]Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri:
Artificial neural networks applied for estimating a probability density function. Intell. Data Anal. 19(1): 29-41 (2015) - [j4]Marco Vannucci, Valentina Colla:
Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. J. Intell. Fuzzy Syst. 28(4): 1805-1818 (2015) - 2014
- [j3]Silvia Cateni, Valentina Colla, Marco Vannucci:
A method for resampling imbalanced datasets in binary classification tasks for real-world problems. Neurocomputing 135: 32-41 (2014) - 2013
- [j2]Nicola Matarese, Valentina Colla, Marco Vannucci, Leonardo Maria Reyneri:
A procedure for the detection of anomalous input-output patterns. Intell. Data Anal. 17(5): 737-751 (2013) - 2011
- [j1]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): 2383-2390 (2011)
Conference and Workshop Papers
- 2024
- [c43]Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid:
Unsupervised Anomaly Detection Combining PCA and Neural Gases. EANN 2024: 419-432 - 2023
- [c42]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: 491-502 - 2022
- [c41]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: 26-32 - 2021
- [c40]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: 596-605 - [c39]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: 248-259 - 2020
- [c38]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: 150-160 - [c37]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: 153-177 - [c36]Marco Vannucci, Valentina Colla, Silvia Cateni:
Genetic Operators Impact on Genetic Algorithms Based Variable Selection. KES-IDT 2020: 211-221 - [c35]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: 1204-1206 - 2019
- [c34]Marco Vannucci, Valentina Colla:
Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. EANN 2019: 399-411 - [c33]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: 220-234 - [c32]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: 3-12 - 2018
- [c31]Marco Vannucci, Valentina Colla:
Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. IJCNN 2018: 1-6 - [c30]Claudio Mocci, Alessandro Maddaloni, Marco Vannucci, Silvia Cateni, Valentina Colla:
A Dive into the Specific Electric Energy Consumption in Steelworks. WorldCIST (2) 2018: 714-723 - 2017
- [c29]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: 626-637 - [c28]Marco Vannucci, Valentina Colla:
Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets. KES-IDT (2) 2017: 23-32 - 2016
- [c27]Marco Vannucci, Valentina Colla:
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. EANN 2016: 337-351 - [c26]Marco Vannucci, Valentina Colla:
Smart Under-Sampling for the Detection of Rare Patterns in Unbalanced Datasets. KES-IDT (1) 2016: 395-404 - 2015
- [c25]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: 400-411 - [c24]Marco Vannucci, Valentina Colla:
Artificial Intelligence Based Techniques for Rare Patterns Detection in the Industrial Field. KES-IDT 2015: 627-636 - 2014
- [c23]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Hybrid Feature Selection Method for Classification Purposes. EMS 2014: 39-44 - 2013
- [c22]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: 945-950 - 2012
- [c21]Marco Vannucci, Valentina Colla, Marco Vannocci, Gianluca Nastasi:
An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability. EMS 2012: 3-8 - [c20]Marco Vannucci, Valentina Colla, Marco Vannocci, Leonardo Maria Reyneri:
Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. IPMU (2) 2012: 78-87 - 2011
- [c19]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: 6-11 - [c18]Silvia Cateni, Valentina Colla, Marco Vannucci:
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. ISDA 2011: 402-407 - [c17]Leonardo Reyneri, Valentina Colla, Marco Vannucci:
Estimate of a Probability Density Function through Neural Networks. IWANN (1) 2011: 57-64 - [c16]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: 256-264 - 2010
- [c15]Silvia Cateni, Valentina Colla, Marco Vannucci:
A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. EMS 2010: 63-67 - [c14]Alice Borselli, Valentina Colla, Marco Vannucci, Marco Veroli:
A fuzzy inference system applied to defect detection in flat steel production. FUZZ-IEEE 2010: 1-6 - 2009
- [c13]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: 267-272 - [c12]Marco Vannucci, Valentina Colla, Gianluca Nastasi, Nicola Matarese:
Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem. EMS 2009: 257-262 - [c11]Silvia Cateni, Valentina Colla, Marco Vannucci:
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. ISDA 2009: 1278-1283 - [c10]Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, Marco Vannucci:
Self-estimation of Data and Approximation Reliability through Neural Networks. IWANN (1) 2009: 89-96 - [c9]Marco Vannucci, Valentina Colla, Mirko Sgarbi, Orlando Toscanelli:
Thresholded Neural Networks for Sensitive Industrial Classification Tasks. IWANN (1) 2009: 1320-1327 - 2008
- [c8]Valentina Colla, Gianluca Bioli, Marco Vannucci:
Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms. EMS 2008: 34-39 - 2007
- [c7]Silvia Cateni, Valentina Colla, Marco Vannucci:
A fuzzy logic-based method for outliers detection. Artificial Intelligence and Applications 2007: 605-610 - 2006
- [c6]Marco Vannucci, Valentina Colla:
A Novel Classification Method for Predicting the Casting Behaviour in the Steelmaking Practice. Artificial Intelligence and Applications 2006: 173-178 - 2004
- [c5]Marco Vannucci, Valentina Colla:
Comparison of different classification methods on castabilty data coming from steelmaking practice. ESANN 2004: 263-268 - [c4]Marco Vannucci, Valentina Colla:
Meaningful discretization of continuous features for association rules mining by means of a SOM. ESANN 2004: 489-494 - 2003
- [c3]Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
Comparison of traditional and neural systems for train speed estimation. ESANN 2003: 401-406 - [c2]Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
Estimation of Train Speed via Neuro-Fuzzy Techniques. IWANN (2) 2003: 497-503 - [c1]Marco Vannucci, Valentina Colla, Gianluca Bioli, R. Valentini:
Two Industrial Problems Solved through a Novel Optimization Algorithm. KES 2003: 622-628
Parts in Books or Collections
- 2018
- [p2]Marco Vannucci, Valentina Colla:
Advanced Neural Networks Systems for Unbalanced Industrial Datasets. Multidisciplinary Approaches to Neural Computing 2018: 181-189 - 2016
- [p1]Valentina Colla, Marco Vannucci, Leonardo M. Reyneri:
Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives. Advances in Neural Networks 2016: 353-361
Informal and Other Publications
- 2024
- [i2]Muhammad Waseem Akram, Marco Vannucci, Giorgio C. Buttazzo, Valentina Colla, Stefano Roccella, Andrea Vannini, Giovanni Caruso, Simone Nesi, Alessandra Francini, Luca Sebastiani:
Automating grapevine LAI features estimation with UAV imagery and machine learning. CoRR abs/2411.17897 (2024) - 2020
- [i1]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 abs/2011.06502 (2020)
Coauthor Index
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