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Valentina Colla
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2020 – today
- 2024
- [c73]Marco Vannucci
, Valentina Colla
Unsupervised Anomaly Detection Combining PCA and Neural Gases. EANN 2024: 419-432 - [c72]Stefano Dettori, Vincenzo Iannino, Lorenzo Vannini, Valentina Colla, Francesco Ferraris:
Automatic Surveillance of Accelerated Cooling Line Against Cyber-Attacks and Faults. RTSI 2024: 542-547 - [e3]Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla:
Information Systems and Technologies - WorldCIST 2023, Volume 2, Pisa, Italy, April 4-6, 2023. Lecture Notes in Networks and Systems 800, Springer 2024, ISBN 978-3-031-45644-2 [contents] - [e2]Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla:
Information Systems and Technologies - WorldCIST 2023, Volume 3, Pisa, Italy, April 4-6, 2023. Lecture Notes in Networks and Systems 801, Springer 2024, ISBN 978-3-031-45647-3 [contents] - [e1]Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Valentina Colla:
Information Systems and Technologies - WorldCIST 2023, Volume 4, Pisa, Italy, April 4-6, 2023. Lecture Notes in Networks and Systems 802, Springer 2024, ISBN 978-3-031-45650-3 [contents] - 2023
- [j17]Silvia Cateni, Valentina Colla
Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks. Neural Process. Lett. 55(5): 5331-5356 (2023) - [c71]Stefano Dettori, Ismael Matino, Ruben Matino, Angelo Castellano, Valentina Colla, Lorenzo Vannini, Andreas Wolff, Dustin Schroeder, Valentin Baric:
A Decision Support System for off-gas and steam optimal management in integrated steelworks. ICCAIS 2023: 757-762 - [c70]Marco Vannucci
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
- [j16]Vincenzo Iannino, Valentina Colla, Alessandro Maddaloni, Jens Brandenburger, Ahmad Rajabi, Andreas Wolff, Joaquín Ordieres, Miguel Gutierrez
A hybrid approach for improving the flexibility of production scheduling in flat steel industry. Integr. Comput. Aided Eng. 29(4): 367-387 (2022) - [j15]Stefano Dettori
A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace. Neural Comput. Appl. 34(2): 911-923 (2022) - 2021
- [j14]Marco Vannucci
Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms. Neural Comput. Appl. 33(23): 16451-16470 (2021) - [c69]Ismael Matino, Stefano Dettori
Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors. ESANN 2021 - [c68]Vincenzo Iannino
Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives. AIAI 2021: 619-632 - [c67]Silvia Cateni
A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks. IWANN (2) 2021: 248-259 - [c66]Vincenzo Iannino
A Brokering-Based Interaction Protocol for Dynamic Resource Allocation in Steel Production Processes. WorldCIST (4) 2021: 119-129 - 2020
- [j13]Marco Vannucci
Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems. J. Intell. Syst. 29(1): 409-422 (2020) - [c65]Stefano Dettori
Deep Echo State Networks in Industrial Applications. AIAI (2) 2020: 53-63 - [c64]Marco Vannucci
Genetic Operators Impact on Genetic Algorithms Based Variable Selection. KES-IDT 2020: 211-221 - [p8]Silvia Cateni, Valentina Colla, Vincenzo Iannino
Improving the Stability of Variable Selection for Industrial Datasets. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 209-218 - [p7]Silvia Cateni, Valentina Colla, Antonella Vignali, Jens Brandenburger:
Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 219-228 - [i2]Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont
Quality4.0 - Transparent product quality supervision in the age of Industry 4.0. CoRR abs/2011.06502 (2020)
2010 – 2019
- 2019
- [c63]Valentina Colla, Ismael Matino
Reservoir Computing Approaches Applied to Energy Management in Industry. EANN 2019: 66-79 - [c62]Marco Vannucci
Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. EANN 2019: 399-411 - [c61]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 - [c60]Marco Vannucci
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
- [j12]Gianluca Nastasi, Valentina Colla
Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse. J. Intell. Manuf. 29(7): 1545-1557 (2018) - [c59]Marco Vannucci
Self-Organizing-Maps Based Undersampling for the Classification of Unbalanced Datasets. IJCNN 2018: 1-6 - [c58]Claudio Mocci, Alessandro Maddaloni, Marco Vannucci
A Dive into the Specific Electric Energy Consumption in Steelworks. WorldCIST (2) 2018: 714-723 - [p6]Silvia Cateni, Valentina Colla:
A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context. Multidisciplinary Approaches to Neural Computing 2018: 173-180 - [p5]Marco Vannucci
Advanced Neural Networks Systems for Unbalanced Industrial Datasets. Multidisciplinary Approaches to Neural Computing 2018: 181-189 - [p4]Stefano Dettori
A Neural Network-Based Approach for Steam Turbine Monitoring. Multidisciplinary Approaches to Neural Computing 2018: 203-211 - [p3]Gianluca Nastasi, Claudio Mocci, Valentina Colla, Frenk Van Den Berg, Willem Beugeling:
SOM-Based Analysis to Relate Non-uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions. Multidisciplinary Approaches to Neural Computing 2018: 223-231 - 2017
- [j11]Silvia Cateni, Valentina Colla, Marco Vannucci
A Fuzzy System for Combining Filter Features Selection Methods. Int. J. Fuzzy Syst. 19(4): 1168-1180 (2017) - [j10]Marco Vannucci
Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method. Neural Process. Lett. 46(3): 791-809 (2017) - [c57]Marco Vannucci
Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel. IWANN (1) 2017: 626-637 - [c56]Marco Vannucci
Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets. KES-IDT (2) 2017: 23-32 - 2016
- [c55]Marco Vannucci
Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. EANN 2016: 337-351 - [c54]Silvia Cateni, Valentina Colla
Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications. EANN 2016: 352-366 - [c53]Alessandro Maddaloni, Valentina Colla, Gianluca Nastasi, Marco Del Seppia, Vincenzo Iannino
A Bin Packing Algorithm for Steel Production. EMS 2016: 19-24 - [c52]Marco Vannucci
Smart Under-Sampling for the Detection of Rare Patterns in Unbalanced Datasets. KES-IDT (1) 2016: 395-404 - [c51]Valentina Colla
Multi-objective particle swarm optimization applied to distribution fitting for industrial data. RTSI 2016: 1-6 - [p2]Valentina Colla
Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives. Advances in Neural Networks 2016: 353-361 - [p1]Silvia Cateni, Valentina Colla
The Importance of Variable Selection for Neural Networks-Based Classification in an Industrial Context. Advances in Neural Networks 2016: 363-370 - 2015
- [j9]Valentina Colla
Artificial neural networks applied for estimating a probability density function. Intell. Data Anal. 19(1): 29-41 (2015) - [j8]Marco Vannucci
Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. J. Intell. Fuzzy Syst. 28(4): 1805-1818 (2015) - [c50]Silvia Cateni, Valentina Colla
Improving the stability of Sequential Forward variables selection. ISDA 2015: 374-379 - [c49]Marco Vannucci
An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks. IWANN (2) 2015: 400-411 - [c48]Marco Vannucci
Artificial Intelligence Based Techniques for Rare Patterns Detection in the Industrial Field. KES-IDT 2015: 627-636 - 2014
- [j7]Silvia Cateni, Valentina Colla
A method for resampling imbalanced datasets in binary classification tasks for real-world problems. Neurocomputing 135: 32-41 (2014) - [c47]Silvia Cateni, Valentina Colla
A Hybrid Feature Selection Method for Classification Purposes. EMS 2014: 39-44 - [c46]Ismael Matino
Evaluation and Monitoring of Physico-Chemical Properties of Water Streams through Unconventional Techniques. EMS 2014: 281-285 - [c45]Erika Alcamisi, Ismael Matino
Simplified Ionic Representation of Industrial Water Streams. EMS 2014: 286-290 - [c44]Gianluca Nastasi, Valentina Colla
A Route Planning Optimisation System for the Steelmaking Industry Based on Multi-objective Evolutionary Algorithms. EMS 2014: 326-331 - [c43]Marco Vannocci, Valentina Colla, Piero Pulito, Michele Zagaria, Vincenzo Di Mastromatteo, Marco Saccone:
Fuzzy Control of a Sintering Plant. IJCCI (FCTA) 2014: 68-75 - [c42]Marco Vannocci, Valentina Colla
Fuzzy Control of a Sintering Plant Using the Charging Gates. IJCCI (Selected Papers) 2014: 267-282 - [c41]Valentina Colla
Monitoring Concepts for a 3D Printer Applied to Build a Human Outpost on the Moon. UKSim 2014: 206-210 - 2013
- [j6]Nicola Matarese, Valentina Colla
A procedure for the detection of anomalous input-output patterns. Intell. Data Anal. 17(5): 737-751 (2013) - [j5]Silvia Cateni, Valentina Colla
A multivariate fuzzy system applied for outliers detection. J. Intell. Fuzzy Syst. 24(4): 889-903 (2013) - [c40]Valentina Colla
Genetic Algorithms Applied to Discrete Distribution Fitting. EMS 2013: 30-35 - [c39]Marco Vannucci
Improving the Estimation of Mean Flow Stress within Hot Rolling of Steel by Means of Different Artificial Intelligence Techniques. MIM 2013: 945-950 - [c38]Valentina Colla
Quality Improvement in Hot Dip Galvanizing Line through Hybrid Case-Based Reasoning System. UKSim 2013: 161-166 - [c37]Alessandro Amato, Valentina Colla
A CO2-Management Tool for Integrated Steelworks. UKSim 2013: 501-506 - 2012
- [c36]Marco Vannucci, Valentina Colla
An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability. EMS 2012: 3-8 - [c35]Marco Vannucci, Valentina Colla
Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. IPMU (2) 2012: 78-87 - [i1]Valentina Colla, Nicola Matarese, Gianluca Nastasi:
Prediction of under pickling defects on steel strip surface. CoRR abs/1207.0911 (2012) - 2011
- [j4]Marco Vannucci
Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic. Appl. Soft Comput. 11(2): 2383-2390 (2011) - [c34]Marco Vannucci
Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks. EMS 2011: 6-11 - [c33]Silvia Cateni, Valentina Colla
Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems. ISDA 2011: 402-407 - [c32]Leonardo Reyneri, Valentina Colla
Estimate of a Probability Density Function through Neural Networks. IWANN (1) 2011: 57-64 - [c31]Valentina Colla
Detection of Transients in Steel Casting through Standard and AI-Based Techniques. IWANN (1) 2011: 256-264 - 2010
- [j3]Valentina Colla, Gianluca Nastasi, Nicola Matarese, Leonardo Maria Reyneri:
GA-based solutions comparison for warehouse storage optimization. Int. J. Hybrid Intell. Syst. 7(4): 283-297 (2010) - [c30]Silvia Cateni, Valentina Colla
A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. EMS 2010: 63-67 - [c29]Orlando Toscanelli, Valentina Colla
Finite Element Simulation of Hot Cross Wedge Rolling of Steel Products. EMS 2010: 546-551 - [c28]Alice Borselli, Valentina Colla
A fuzzy inference system applied to defect detection in flat steel production. FUZZ-IEEE 2010: 1-6 - [c27]Valentina Colla
GADF - Genetic Algorithms for distribution fitting. ISDA 2010: 6-11
2000 – 2009
- 2009
- [c26]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 - [c25]Marco Vannucci
Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem. EMS 2009: 257-262 - [c24]Valentina Colla
GA-Based Solutions Comparison for Storage Strategies Optimization for an Automated Warehouse. ISDA 2009: 976-981 - [c23]Silvia Cateni, Valentina Colla
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP. ISDA 2009: 1278-1283 - [c22]Valentina Colla
A Method to Point Out Anomalous Input-Output Patterns in a Database for Training Neuro-Fuzzy System with a Supervised Learning Rule. ISDA 2009: 1307-1311 - [c21]Leonardo Maria Reyneri, Valentina Colla
Self-estimation of Data and Approximation Reliability through Neural Networks. IWANN (1) 2009: 89-96 - [c20]Marco Vannucci
Thresholded Neural Networks for Sensitive Industrial Classification Tasks. IWANN (1) 2009: 1320-1327 - 2008
- [c19]Valentina Colla
Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms. EMS 2008: 34-39 - [c18]Valentina Colla
Simulation of an Automated Warehouse for Steel Tubes. UKSim 2008: 150-155 - 2007
- [c17]Silvia Cateni, Valentina Colla, Marco Vannucci:
A fuzzy logic-based method for outliers detection. Artificial Intelligence and Applications 2007: 605-610 - 2006
- [c16]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
- [c15]Marco Vannucci, Valentina Colla:
Comparison of different classification methods on castabilty data coming from steelmaking practice. ESANN 2004: 263-268 - [c14]Marco Vannucci, Valentina Colla:
Meaningful discretization of continuous features for association rules mining by means of a SOM. ESANN 2004: 489-494 - 2003
- [c13]Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
Comparison of traditional and neural systems for train speed estimation. ESANN 2003: 401-406 - [c12]Valentina Colla, Marco Vannucci
Estimation of Train Speed via Neuro-Fuzzy Techniques. IWANN (2) 2003: 497-503 - [c11]Marco Vannucci
Two Industrial Problems Solved through a Novel Optimization Algorithm. KES 2003: 622-628 - 2000
- [j2]Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Neuro-wavelet parametric characterization of Jominy profiles of steels. Integr. Comput. Aided Eng. 7(3): 217-228 (2000) - [c10]Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Training activation function in parametric classification. ESANN 2000: 365-370 - [c9]Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri:
Neuro-Wavelet Parametric Modeling. IJCNN (4) 2000: 499-504
1990 – 1999
- 1999
- [c8]Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Neuro-wavelet parametric characterization of hardness profiles. ESANN 1999: 141-146 - [c7]Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons. ESANN 1999: 363-369 - [c6]Benedetto Allotta, Valentina Colla, Gianluca Bioli:
A Mechatronic Device for Simulating Push-Buttons and Knobs. ICMCS, Vol. 1 1999: 636-642 - [c5]Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi:
Neuro-Wavelet Networks applied to Parametric Characterization of Jominy Profiles of Steels. IIA/SOCO 1999 - [c4]Valentina Colla
Parametric Characterization of Hardness Profiles of Steels with Nero-Wavelet Networks. IWANN (2) 1999: 606-614 - 1998
- [j1]Angelo M. Sabatini, Valentina Colla:
A method for sonar based recognition of walking people. Robotics Auton. Syst. 25(1-2): 117-126 (1998) - [c3]Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyneri:
A comparison between weighted radial basis functions and wavelet networks. ESANN 1998: 13-20 - [c2]Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri, Angelo M. Sabatini:
A neural approach to a sensor fusion problem. ESANN 1998: 357-362 - [c1]Valentina Colla, Benedetto Allotta:
Wavelet-Based Control of Penetration in a Mechatronic Drill for Orthopaedic Surgery. ICRA 1998: 711-716
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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