V. Colla

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Efficient Use of Water Resources in the Steel Industry

V. Colla, I. Matino, T. Branca, 2017 .

Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes

Klaus Peters, V. Colla, C. Pietrosanti, 2020, Matériaux & Techniques.

Extension of pilot tests of cyanide elimination by ozone from blast furnace gas washing water through Aspen Plus® based model

V. Colla, I. Matino, T. Branca, 2018, Frontiers of Chemical Science and Engineering.

Internal Slags Reuse in an Electric Steelmaking Route and Process Sustainability: Simulation of Different Scenarios Through the EIRES Monitoring Tool

V. Colla, I. Matino, S. Baragiola, 2018 .

Wastewater treatment in iron and steel industry: process integration for water re-use

G. F. Porzio, V. Colla, I. Matino, 2014 .

Sustainable Reverse Osmosis application for wastewater treatment in the steel industry

Beatriz Padilla Vivas, V. Colla, T. Branca, 2016 .

Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap

G. F. Porzio, M. Larsson, H. Stripple, 2016 .

Application of Unconventional Techniques for Evaluation and Monitoring of Physico-Chemical Properties of Water Streams

G. F. Porzio, V. Colla, I. Matino, 2020 .

Monitoring erosion and skull profile in blast furnace hearth

V. Colla, M. Zagaria, V. Dimastromatteo, 2010 .

14 Outlier Detection Methods for Industrial Applications

V. Colla, M. Vannucci, S. Cateni, 2017 .

Diagnosis of the instability of the cooling behaviour of flat steel products through parametric characterisation, neural networks and statistics.

V. Colla, M. Vannucci, A. Dimatteo, 2010, ISA transactions.

A Finite Element Method for the Prediction of Thermal, Metallurgical, and Mechanical Behavior of Rebars in the TempCore Process

Marco Vannucci, Valentina Colla, A. Dimatteo, 2016 .

AI and ML Techniques for Generation and Assessment of Products Properties Data

V. Colla, M. Vannucci, Antonio Ritacco, 2020 .

Application of Different Control Techniques to Railway Semi-Active Suspension Systems

B. Allotta, F. Bartolini, L. Pugi, 2012 .

Evaluation of Internal Slag Reuse in an Electric Steelmaking Route : Simulation Analyses through the EIRES Monitoring Tool

V. Colla, I. Matino, S. Baragiola, 2017 .

In-line Characterisation of Microstructure and Mechanical Properties in the Manufacturing of Steel Strip for the Purpose of Product Uniformity Control

Valentina Colla, Christophe Reboud, Patrick Lombard, 2016 .

The Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip

Haibing Yang, V. Colla, M. Vannucci, 2020 .

Chill marks effect detection algorithm for plant IMPOC data

V. Colla, F. V. D. Berg, T. Kebe, 2016 .

A model for simulation of an integrated steelmaking plant focused on energy consumptions and CO2 emissions

Marco Vannucci, Valentina Colla, Silvia Cateni, 2012 .

Steam gasification process of chlorine-rich shredder granules: experiments and flow-sheeting modelling for process evaluation and scale-up

G. F. Porzio, W. Krumm, V. Colla, 2013 .

An Application-Oriented Cyber-Physical Production Optimisation System Architecture for the Steel Industry

V. Colla, Vincenzo Iannino, Joachim Denker, 2022, IFAC-PapersOnLine.

Weighted Radial Basis Functions Networks Applied to Model Jominy Hardness Pro les of Steels

L. Reyneri, V. Colla, M. Sgarbi, 1998 .

Steel and biodiversity: a promising alliance

J. Hodges, G. Ragaglini, A. Moonen, 2017 .

Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks

V. Colla, M. Vannucci, S. Cateni, 2022, Neural Processing Letters.

Kinematic Control of Redundant Manipulators via the Gradient Projection Method

B. Allotta, V. Colla, G. Bioli, 1997 .

Renewable Hydrogen Production Processes for the Off-Gas Valorization in Integrated Steelworks through Hydrogen Intensified Methane and Methanol Syntheses

K. Panopoulos, V. Colla, I. Matino, 2020, Metals.

An integrated approach to the reduction of energy demand and CO2-emissions within a conventional iron and steel works

Valentina Colla, A. Amato, Teresa Annunziata Branca, 2011 .

Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse

V. Colla, S. Cateni, Gianluca Nastasi, 2016, Journal of Intelligent Manufacturing.

Strain Hardening Behavior of Dual-Phase Steels

V. Colla, R. Valentini, A. Dimatteo, 2009 .

Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control

Valentina Colla, Stefano Dettori, Annamaria Signorini, 2021, Energies.

A Model for Predicting Residual Hydrogen Content in Blooms and Billets Stacked in Large Industrial Piles

V. Colla, M. Vannucci, R. Valentini, 2018, steel research international.

Possible Uses of Steelmaking Slag in Agriculture: An Overview

V. Colla, T. Branca, 2012 .

Paving the way for the optimization of water consumption in the steelmaking processes: barriers, analysis and KPIs definition

V. Colla, I. Matino, T. Branca, 2020, Matériaux & Techniques.

Internal Slags Reuse in an Electric Steelmaking Route and Process Sustainability: Simulation of Different Scenarios Through the EIRES Monitoring Tool

V. Colla, I. Matino, S. Baragiola, 2018, Waste and Biomass Valorization.

Building components for an outpost on the Lunar soil by means of a novel 3D printing technology

Valentina Colla, Giovanni Cesaretti, Enrico Dini, 2014 .

Reuse and Recycling of By-Products in the Steel Sector: Recent Achievements Paving the Way to Circular Economy and Industrial Symbiosis in Europe

V. Colla, T. Branca, S. Rosendahl, 2020, Metals.

A Software Tool for Comparing the Economic Value of Different Scrap Mixes in Steel Production

G. F. Porzio, V. Colla, M. Vannucci, 2013, 2013 4th International Conference on Intelligent Systems, Modelling and Simulation.

Variable Selection and Feature Extraction Through Artificial Intelligence Techniques

Marco Vannucci, Valentina Colla, Silvia Cateni, 2013 .

Electric energy consumption and environmental impact in unconventional EAF steelmaking scenarios

Valentina Colla, Ismael Matino, Stefano Baragiola, 2017 .

A neural networks-based model relating properties of the as cast-semi and rolling parameters with rolled product properties for plate rolled pipeline steels

Marco Vannucci, Valentina Colla, A. Dimatteo, 2012 .

Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms

Marco Vannucci, Valentina Colla, V. Colla, 2021, Neural Computing and Applications.

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, 2013, MIM.

Prediction of hot deformation resistance during processing of microalloyed steels in plate rolling process

V. Colla, M. Vannucci, A. Dimatteo, 2012, The International Journal of Advanced Manufacturing Technology.

Prediction of under pickling defects on steel strip surface pdf

Valentina Colla, Nicola Matarese, Gianluca Nastasi, 2011, ArXiv.

Strain Hardening Behavior Prediction Model For Automotive High Strength Multiphase Steels

V. Colla, R. Valentini, A. Dimatteo, 2015 .

A fuzzy logic-based method for outliers detection

Marco Vannucci, Valentina Colla, Silvia Cateni, 2007, Artificial Intelligence and Applications.

Data processing for outliers detection

Valentina Colla, Silvia Cateni, V. Colla, 2013 .

Fuzzy Inference Systems Applied to Image Classification in the Industrial Field

Marco Vannucci, Valentina Colla, Silvia Cateni, 2012 .

Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic

Marco Vannucci, Valentina Colla, V. Colla, 2011, Appl. Soft Comput..

The Challenge of Digitalization in the Steel Sector

Valentina Colla, Barbara Fornai, Teresa Annunziata Branca, 2020, Metals.

Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry

Marco Vannucci, Valentina Colla, Barbara Fornai, 2013 .

Prediction of Continuous Cooling Transformation Diagrams for Dual-Phase Steels from the Intercritical Region

V. Colla, A. Dimatteo, V. Colla, 2011 .

Exchangeable Sodium Percentage decrease in saline sodic soil after Basic Oxygen Furnace Slag application in a lysimeter trial.

Valentina Colla, Teresa Annunziata Branca, Giorgio Ragaglini, 2017, Journal of environmental management.

Pre-Processing for Neural Model Design in A Real Industrial Problem

Silvia Cateni, Valentina Colla, Antonella Vignali, 2019, International journal of simulation: systems, science & technology.

A Procedure for Building Reduced reliable Training Datasets from Real-World Data

Marco Vannucci, Valentina Colla, Silvia Cateni, 2014 .

A multivariate fuzzy system applied for outliers detection

Valentina Colla, Silvia Cateni, Gianluca Nastasi, 2013, J. Intell. Fuzzy Syst..

Outlier Detection Methods for Industrial Applications

Marco Vannucci, Valentina Colla, Silvia Cateni, 2008, ICRA 2008.

Mathematical Modelling of Plastic Deformation Process with an Eulerian Approach

V. Colla, S. Anna, O. Toscanelli, 2012 .

Equation-Based Modeling: The Structural Contact Problem Solved By the Velocity Approach

Valentina Colla, O.Toscanelli Otoscanelli, V. Colla, 2010 .

Assessment of Critical Hydrogen Concentration in As‐Cast and Hot‐Rolled Billets in Medium Carbon Steels

V. Colla, R. Valentini, 2020, steel research international.

Human-Centered Robotic Development in the Steel Shop: Improving Health, Safety and Digital Skills at the Workplace

Valentina Colla, Antonius Schröder, Ruben Matino, 2021, Metals.

QUANTITATIVE SUSTAINABILITY ASSESSMENT THROUGH KEY PERFORMANCE INDICATORS IN ULCOS PROJECT

Marco Vannucci, Valentina Colla, Barbara Fornai, 2008 .

Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance

Marco Vannucci, Valentina Colla, V. Colla, 2015, J. Intell. Fuzzy Syst..

Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems

Marco Vannucci, Valentina Colla, Stefano Dettori, 2018, J. Intell. Syst..

Implementation and comparison of algorithms for multi-objective optimization based on genetic algorithms applied to the management of an automated warehouse

Valentina Colla, Silvia Cateni, Gianluca Nastasi, 2016, Journal of Intelligent Manufacturing.

A Comprehensive Review of Secondary Carbon Bio-Carriers for Application in Metallurgical Processes: Utilization of Torrefied Biomass in Steel Production

J. Schenk, C. Brondi, Klaus Peters, 2022, Metals.

A hybrid approach for improving the flexibility of production scheduling in flat steel industry

Joaquín B. Ordieres Meré, D. Mueller, V. Colla, 2022, Integr. Comput. Aided Eng..

From controlling single processes to the complex automation of process chains by artificially intelligent control systems: the Control In Steel project

Joaquín B. Ordieres Meré, M. Neuer, V. Colla, 2022, IFAC-PapersOnLine.

Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement

Valentina Colla, Silvia Cateni, Jens Brandenburger, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

An adaptive Fuzzy logic-based approach to PID control of steam turbines in solar applications

Valentina Colla, Stefano Dettori, Annamaria Signorini, 2017, Applied Energy.

A Fuzzy System for Combining Filter Features Selection Methods

Marco Vannucci, Valentina Colla, Silvia Cateni, 2016, International Journal of Fuzzy Systems.

A Fuzzy System for Combining Filter Features Selection Methods

V. Colla, M. Vannucci, S. Cateni, 2016, International Journal of Fuzzy Systems.

Detection of Transients in Steel Casting through Standard and AI-Based Techniques

Marco Vannucci, Valentina Colla, Torsten Lamp, 2011, IWANN.

GA-based solutions comparison for warehouse storage optimization

Leonardo Maria Reyneri, Valentina Colla, Nicola Matarese, 2010, Int. J. Hybrid Intell. Syst..

An Event-Driven Agent-Based Simulation Model for Industrial Processes

Marco Vannocci, Valentina Colla, Vincenzo Iannino, 2020 .

Steam Turbine Control Valve and Actuation System Modeling for Dynamics Analysis

Valentina Colla, M. Pondini, A. Signorini, 2017 .

Investigation of (BOF) Converter slag use for agriculture in europe

Valentina Colla, Giorgio Ragaglini, Cristiano Tozzini, 2014 .

Assessment of treatment configurations through process simulations to improve basic oxygen furnace slag reuse

V. Colla, I. Matino, T. Branca, 2017 .

Industrial Symbiosis and Energy Efficiency in European Process Industries: A Review

A. Schröder, V. Colla, T. Branca, 2021, Sustainability.

Two innovative modelling approaches in order to forecast consumption of blast furnace gas by hot blast stoves

Valentina Colla, Ismael Matino, Stefano Dettori, 2019, Energy Procedia.

A simplified approach to the simulation of direct reduction of iron ore

Marco Vannucci, Valentina Colla, G. Corbo, 2010 .

Comparison of different alternative steel technologies: evaluation of case studies for an innovative and sustainable steelwork

Valentina Colla, Renzo Valentini, Barbara Fornai, 2016 .

Multi-objective optimization applied to retrofit analysis: A case study for the iron and steel industry

Valentina Colla, Teresa Annunziata Branca, Gianluca Nastasi, 2015 .

Process integration in energy and carbon intensive industries: An example of exploitation of optimization techniques and decision support

Marco Vannucci, Valentina Colla, Massimo Bergamasco, 2014 .

A Brokering-Based Interaction Protocol for Dynamic Resource Allocation in Steel Production Processes

Valentina Colla, Vincenzo Iannino, Claudio Mocci, 2021, WorldCIST.

A Genetic Algorithm-Based Approach for Selecting Input Variables and Setting Relevant Network Parameters of a SOM-Based Classifier

Marco Vannucci, Valentina Colla, Silvia Cateni, 2020, International journal of simulation: systems, science & technology.

Smart Under-Sampling for the Detection of Rare Patterns in Unbalanced Datasets

Marco Vannucci, Valentina Colla, V. Colla, 2016, KES-IDT.

A method for resampling imbalanced datasets in binary classification tasks for real-world problems

Marco Vannucci, Valentina Colla, Silvia Cateni, 2014, Neurocomputing.

Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets

Leonardo Maria Reyneri, Marco Vannucci, Valentina Colla, 2012, IPMU.

Fuzzy Inference System for Data Processing in Industrial Applications

Valentina Colla, Silvia Cateni, V. Colla, 2012 .

Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem

Marco Vannucci, Valentina Colla, Nicola Matarese, 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.

Artificial intelligence techniques for unbalanced datasets in real world classification tasks

Marco Vannucci, Valentina Colla, Silvia Cateni, 2011 .

Detection of rare events within industrial datasets by means of data resampling and specific algorithms

Marco Vannucci, Valentina Colla, Nicola Matarese, 2010 .

Assessing the efficiency of the off-gas network management in integrated steelworks

Valentina Colla, Ismael Matino, Stefano Dettori, 2019, Matériaux & Techniques.

Process integration analysis for innovative environmentally friendly recovery and pre-treatment of steel scrap

Marco Vannucci, Valentina Colla, Barbara Fornai, 2014 .

A CPS-Based Simulation Platform for Long Production Factories

Valentina Colla, Vincenzo Iannino, Joachim Denker, 2019, Metals.

Quantification of energy and environmental impacts in uncommon electric steelmaking scenarios to improve process sustainability

Valentina Colla, Ismael Matino, Stefano Baragiola, 2017 .

Integration of Renewable Hydrogen Production in Steelworks Off-Gases for the Synthesis of Methanol and Methane

P. Seferlis, K. Panopoulos, V. Colla, 2021, Energies.

3D printing technology for a moon outpost exploiting lunar soil

Valentina Colla, Enrico Dini, L. Priami, 2010 .

Meaningful discretization of continuous features for association rules mining by means of a SOM

Marco Vannucci, Valentina Colla, V. Colla, 2004, ESANN.

Large Scale 3D Printing: from Deep Sea to the Moon

Valentina Colla, Enrico Dini, V. Colla, 2013 .

A way to reduce environmental impact of ladle furnace slag

Valentina Colla, Renzo Valentini, Teresa Annunziata Branca, 2009 .

Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method

Marco Vannucci, Valentina Colla, Silvia Cateni, 2017, Neural Processing Letters.

An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks

Marco Vannucci, Valentina Colla, Silvia Cateni, 2015, IWANN.

Valorizing Steelworks Gases by Coupling Novel Methane and Methanol Synthesis Reactors with an Economic Hybrid Model Predictive Controller

A. Hauser, K. Panopoulos, Nina Kieberger, 2022, Metals.

Multi-agent systems to improve efficiency in steelworks

S. Kolb, Thomas Plankenbühler, V. Colla, 2021, Matériaux & Techniques.

A method for sonar based recognition of walking people

Valentina Colla, Angelo M. Sabatini, A. Sabatini, 1998, Robotics Auton. Syst..

The European Steel Technology Platform faces resource efficiency in its Strategic Research Agenda

Valentina Colla, Klaus Peters, Enrico Malfa, 2015 .

Energy efficiency and reduction of CO2 emissions from campsites management in a protected area.

Valentina Colla, Teresa Annunziata Branca, V. Colla, 2018, Journal of environmental management.

A Modular Machine-Learning-Based Approach to Improve Tensile Properties Uniformity Along Hot Dip Galvanized Steel Strips for Automotive Applications

Silvia Cateni, Valentina Colla, Antonella Vignali, 2020 .

Residue Valorization in the Iron and Steel Industries: Sustainable Solutions for a Cleaner and More Competitive Future Europe

T. Fenzl, A. Panizza, C. Brondi, 2021, Metals.

Improving the stability of Sequential Forward variables selection

Valentina Colla, Silvia Cateni, V. Colla, 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

Improving the stability of wrapper variable selection applied to binary classification

Valentina Colla, Silvia Cateni, V. Colla, 2016, CISIM 2016.

Model Parameters Optimisation for an Industrial Application: A Comparison between Traditional Approaches and Genetic Algorithms

Marco Vannucci, Valentina Colla, Gianluca Bioli, 2008, 2008 Second UKSIM European Symposium on Computer Modeling and Simulation.

Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons

Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, 1999, ESANN.

A fuzzy inference system applied to defect detection in flat steel production

Marco Vannucci, Valentina Colla, Alice Borselli, 2010, International Conference on Fuzzy Systems.

A Hybrid Feature Selection Method for Classification Purposes

Marco Vannucci, Valentina Colla, Silvia Cateni, 2014, 2014 European Modelling Symposium.

Hydrogen role in the valorization of integrated steelworks process off-gases through methane and methanol syntheses

K. Panopoulos, Nina Kieberger, S. Kolb, 2021, Matériaux & Techniques.

A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace

Valentina Colla, Ismael Matino, Stefano Dettori, 2021, Neural Computing and Applications.

Sustainable Steel Industry: Energy and Resource Efficiency, Low-Emissions and Carbon-Lean Production

V. Colla, T. Branca, 2021, Metals.

Sustainable mobility for campsites: The case of Macchia Lucchese

Valentina Colla, Teresa Annunziata Branca, Deny Del Moretto, 2017 .

Improving energy and resource efficiency of electric steelmaking through simulation tools and process data analyses

Valentina Colla, Ismael Matino, B. Kleimt, 2016 .

A novel Key Performance Indicator for measuring the competitiveness of materials production within the EU

V. Colla, B. Fornai, A. Amato, 2011 .

Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets

Marco Vannucci, Valentina Colla, V. Colla, 2017, KES-IDT.

Welcome message from the chairs

A. Pantelous, D. Al-Dabass, V. Colla, 2014, Ninth International Conference on Digital Information Management (ICDIM 2014).

Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms

Marco Vannucci, Valentina Colla, V. Colla, 2019, EANN.

Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems

Marco Vannucci, Valentina Colla, Silvia Cateni, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Skills Demand in Energy Intensive Industries Targeting Industrial Symbiosis and Energy Efficiency

A. Schröder, V. Colla, T. Branca, 2022, Sustainability.

Forecasting blast furnace gas production and demand through echo state neural network-based models: Pave the way to off-gas optimized management

Valentina Colla, Ismael Matino, Stefano Dettori, 2019, Applied Energy.

Current state of Industrial Symbiosis and Energy Efficiency in the European energy intensive sectors

A. Schröder, V. Colla, T. Branca, 2021, Matériaux & Techniques.

Introduction of symbiotic human-robot-cooperation in the steel sector: an example of social innovation

Valentina Colla, Lea Romaniello, Andrea Buzzelli, 2017 .

A multi-objective coil route planning system for the steelmaking industry based on evolutionary algorithms

Valentina Colla, Gianluca Nastasi, Marco Del Seppia, 2020 .

Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork

Marco Vannucci, Valentina Colla, Teresa Annunziata Branca, 2014 .

A Route Planning Optimisation System for the Steelmaking Industry Based on Multi-objective Evolutionary Algorithms

Valentina Colla, Gianluca Nastasi, Marco Del Seppia, 2014, 2014 European Modelling Symposium.

A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context

Valentina Colla, Silvia Cateni, V. Colla, 2018, Multidisciplinary Approaches to Neural Computing.

Simulation of an Automated Warehouse for Steel Tubes

Valentina Colla, Nicola Matarese, Gianluca Nastasi, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Neuro-wavelet parametric characterization of Jominy profiles of steels

Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, 2000, Integr. Comput. Aided Eng..

Parametric Characterization of Hardness Profiles of Steels with Nero-Wavelet Networks

Leonardo Maria Reyneri, Valentina Colla, Mirko Sgarbi, 1999, IWANN.

An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability

Marco Vannucci, Valentina Colla, Marco Vannocci, 2012, 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation.

Industrial Multiple Criteria Decision Making Problems Handled by Means of Fuzzy Inference-Based Decision Support Systems

V. Colla, M. Vannucci, S. Cateni, 2013, 2013 4th International Conference on Intelligent Systems, Modelling and Simulation.

Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives

Valentina Colla, Joaquín B. Ordieres Meré, Jens Brandenburger, 2021, AIAI.

Current and future aspects of the digital transformation in the European Steel Industry

A. Schröder, V. Colla, T. Branca, 2020, Matériaux & Techniques.

A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks

Marco Vannucci, Valentina Colla, Silvia Cateni, 2021, IWANN.

Fuzzy Control of a Sintering Plant Using the Charging Gates

Valentina Colla, Marco Vannocci, Piero Pulito, 2014, IJCCI.

Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for Industrial Applications

Valentina Colla, Silvia Cateni, V. Colla, 2016, EANN.