Fabio Caraffini

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 57

Top Topics

Infeasible Solutions

Operational Risk

Breast Ultrasound

Top Venues

GECCO Companion

Publications

Fabio Caraffini, Hassan Eshkiki, Mostafa Mohammadpour, Nikol Sullo, Christopher H. George
Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks. AIiH (2) (2024)
Juan F. Pérez-Pérez, Pablo Isaza Gómez, Isis Bonet, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller
Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. CoRR (2024)
Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. GECCO Companion (2024)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evol. Comput. 32 (1) (2024)
Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, Zacharias A. Anastassi, Fabio Caraffini, Hassan Eshkiki
Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net. AIiH (2) (2024)
Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden, Fabio Caraffini
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction. CoRR (2024)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. GECCO (2023)
Juan F. Pérez-Pérez, Isis Bonet Cruz, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller
Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. ISTAS (2023)
Tan Jo Yen, Sivakumar Vengusamy, Fabio Caraffini, Stefan Kuhn, Simon Colreavy-Donnelly
Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables. FRUCT (2023)
Souheila Khalfi, Fabio Caraffini, Giovanni Iacca
Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources. Int. J. Intell. Syst. 2023 (2023)
Lilian Genaro Motti Ader, Katie Crowley, Stefan Kuhn, Fabio Caraffini, Turgay Altindag, Simon Colreavy-Donnelly
Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments. ISTAS (2023)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR (2023)
Jarrad Neil Morden, Fabio Caraffini, Ioannis Kypraios, Ali H. Al-Bayatti, Richard Smith
Driving in the Rain: A Survey toward Visibility Estimation through Windshields. Int. J. Intell. Syst. 2023 (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. CoRR (2023)
Alejandro Peña, Juan C. Tejada, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora
An evolutionary intelligent control system for a flexible joints robot. Appl. Soft Comput. 135 (2023)
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. CoRR (2023)
Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. GECCO Companion (2023)
James Izzard, Fabio Caraffini, Francisco Chiclana
Towards a software tool for general meal optimisation. Appl. Intell. 53 (7) (2023)
Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion (2022)
Matthew Fox, Shengxiang Yang, Fabio Caraffini
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. Swarm Evol. Comput. 74 (2022)
Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Mario Gongora
Using self-organising maps to predict and contain natural disasters and pandemics. Int. J. Intell. Syst. 37 (4) (2022)
Fabio Caraffini, Francisco Chiclana, Raymond Moodley, Mario Gongora
Applications of computational intelligence-based systems for societal enhancement. Int. J. Intell. Syst. 37 (4) (2022)
Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. 26 (6) (2022)
Stefan Kuhn, Carlos Cobas, Agustin Barba, Simon Colreavy-Donnelly, Fabio Caraffini, Ricardo Moreira Borges
Direct deduction of chemical class from NMR spectra. CoRR (2022)
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-A. Mitran, Daniela Zaharie
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond. CoRR (2022)
Bas van Stein, Fabio Caraffini, Anna V. Kononova
Emergence of Structural Bias in Differential Evolution. CoRR (2021)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there anisotropy in structural bias? GECCO Companion (2021)
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
Differential evolution outside the box. Inf. Sci. 581 (2021)
Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario A. Góngora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. Appl. Soft Comput. 107 (2021)
Stuart O'Connor, Salim Hasshu, James Bielby, Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Richard Smith
SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security. Inf. Sci. 580 (2021)
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Is there Anisotropy in Structural Bias? CoRR (2021)
Bas van Stein, Fabio Caraffini, Anna V. Kononova
Emergence of structural bias in differential evolution. GECCO Companion (2021)
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Can Single Solution Optimisation Methods Be Structurally Biased? CEC (2020)
Matthew Fox, Shengxiang Yang, Fabio Caraffini
An Experimental Study of Prediction Methods in Robust optimization Over Time. CEC (2020)
Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario A. Góngora, Johana Florez-Lozano, Carlos Parra
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27 (4) (2020)
James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi
Identifying Parkinson's Disease Through the Classification of Audio Recording Data. CEC (2020)
Giovanni Iacca, Fabio Caraffini
Re-sampled inheritance compact optimization. Knowl. Based Syst. 208 (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access 8 (2020)
Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi, Simon Coupland
A Neural Network for Interpolating Light-Sources. COMPSAC (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR (2020)
Conor Fahy, Fabio Caraffini, Mario A. Góngora
A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC (2020)
Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario A. Góngora
Oil Palm Detection via Deep Transfer Learning. CEC (2020)
Anna V. Kononova, Fabio Caraffini, Thomas Bäck
Differential evolution outside the box. CoRR (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion 64 (2020)
Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC (2020)
Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Jenny Carter
Application of uninorms to market basket analysis. Int. J. Intell. Syst. 34 (1) (2019)
Fabio Caraffini, Anna V. Kononova, David Corne
Infeasibility and structural bias in differential evolution. Inf. Sci. 496 (2019)
Giovanni Iacca, Fabio Caraffini
Compact Optimization Algorithms with Re-Sampled Inheritance. EvoApplications (2019)
Fabio Caraffini, Ferrante Neri
A study on rotation invariance in differential evolution. Swarm Evol. Comput. 50 (2019)
Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Inf. Sci. 477 (2019)
Fabio Caraffini, Anna V. Kononova, David Corne
Infeasibility and structural bias in Differential Evolution. CoRR (2019)
Giovanni Iacca, Fabio Caraffini
Compact Optimization Algorithms with Re-sampled Inheritance. CoRR (2018)
Fabio Caraffini, Ferrante Neri
Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution. EvoApplications (2018)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
Multi-Strategy Coevolving Aging Particle Optimization. CoRR (2018)
Fabio Caraffini, Ferrante Neri, Giovanni Iacca
Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables. EvoApplications (1) (2017)
Ilpo Poikolainen, Ferrante Neri, Fabio Caraffini
Cluster-Based Population Initialization for differential evolution frameworks. Inf. Sci. 297 (2015)
Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri
Multicriteria adaptive differential evolution for global numerical optimization. Integr. Comput. Aided Eng. 22 (2) (2015)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
Continuous Parameter Pools in Ensemble Differential Evolution. SSCI (2015)
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
Structural bias in population-based algorithms. Inf. Sci. 298 (2015)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
Multi-Strategy coevolving aging Particle Optimization. Int. J. Neural Syst. 24 (1) (2014)
Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke
A Separability Prototype for Automatic Memes with Adaptive Operator Selection. FOCI (2014)
Giovanni Iacca, Ferrante Neri, Fabio Caraffini, Ponnuthurai Nagaratnam Suganthan
A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms. EvoApplications (2014)
Fabio Caraffini, Ferrante Neri, Lorenzo Picinali
An analysis on separability for Memetic Computing automatic design. Inf. Sci. 265 (2014)
Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
Structural bias in population-based algorithms. CoRR (2014)
Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar (2013)
Fabio Caraffini, Ferrante Neri, Benjamin N. Passow, Giovanni Iacca
Re-sampled inheritance search: high performance despite the simplicity. Soft Comput. 17 (12) (2013)
Fabio Caraffini, Ferrante Neri, Giovanni Iacca, Aran Mol
Parallel memetic structures. Inf. Sci. 227 (2013)
Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Lorenzo Picinali, Ernesto Mininno
A CMA-ES super-fit scheme for the re-sampled inheritance search. IEEE Congress on Evolutionary Computation (2013)
Fabio Caraffini, Ferrante Neri, Ilpo Poikolainen
Micro-differential evolution with extra moves along the axes. SDE (2013)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno
Single particle algorithms for continuous optimization. IEEE Congress on Evolutionary Computation (2013)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
Memory-saving memetic computing for path-following mobile robots. Appl. Soft Comput. 13 (4) (2013)
Fabio Caraffini, Ferrante Neri, Jixiang Cheng, Gexiang Zhang, Lorenzo Picinali, Giovanni Iacca, Ernesto Mininno
Super-fit Multicriteria Adaptive Differential Evolution. IEEE Congress on Evolutionary Computation (2013)
Antonio Agresta, Chiara Biscarini, Fabio Caraffini, Valentino Santucci
An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. EvoApplications@EvoStar (2013)
Fabio Caraffini, Ferrante Neri, Mario A. Góngora, Benjamin N. Passow
Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing (2013)
Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, Fabio Caraffini
An AI-Based Support System for Microgrids Energy Management. EvoApplications@EvoStar (2013)
Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno
The importance of being structured: A comparative study on multi stage memetic approaches. UKCI (2012)
Ferrante Neri, Matthieu Weber, Fabio Caraffini, Ilpo Poikolainen
Meta-Lamarckian learning in three stage optimal memetic exploration. UKCI (2012)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri
Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead. J. Comput. Sci. Technol. 27 (5) (2012)
Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno
Robot Base Disturbance Optimization with Compact Differential Evolution Light. EvoApplications (2012)
Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno
Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes. UKCI (2012)