Publications

2026

1. J57

   Uncertainty-aware multilingual AI-generated text detection using contrastive empowered multi-granular evidential network

   Muhammad Sohail, Hongying Zan, Kunli Zhang, and 4 more authors

   Expert Systems with Applications, 2026

   DOI Bib

   @article{sohail2026j57,
     author = {Sohail, Muhammad and Zan, Hongying and Zhang, Kunli and Javed, Arifa and Abdullah, Muhammad and Wahid, Junaid Abdul and Caraffini, Fabio},
     title = {{Uncertainty-aware multilingual AI-generated text detection using contrastive empowered multi-granular evidential network}},
     journal = {Expert Systems with Applications},
     year = {2026},
     doi = {10.1016/j.eswa.2026.135017},
     pages = {135017},
     issn = {0957-4174},
     themes = {lang},
     section = {journal}
   }

2. J56

   How does thermal imaging compare with other pose estimation techniques? A survey on gait analysis in healthcare applications with a focus on knee osteoarthritis

   Mohammad Abudayeh, David Elizondo, Sarah Greenfield, and 1 more author

   Artificial Intelligence Review, 2026

   Bib

   @article{abudayeh2026j56,
     author = {Abudayeh, Mohammad and Elizondo, David and Greenfield, Sarah and Caraffini, Fabio},
     title = {{How does thermal imaging compare with other pose estimation techniques? A survey on gait analysis in healthcare applications with a focus on knee osteoarthritis}},
     journal = {Artificial Intelligence Review},
     year = {2026},
     themes = {health},
     section = {journal}
   }

3. J55

   Safe speeds in rear-end collisions: Injury-risk thresholds from population-weighted event data recorder analysis

   Jarrad Neil Morden, Fabio Caraffini, Ali Hilal Al-Bayatti, and 2 more authors

   Transport Policy, 2026

   DOI Bib

   @article{morden2026j55,
     author = {Morden, Jarrad Neil and Caraffini, Fabio and Al-Bayatti, Ali Hilal and Abudayeh, Mohammed and Bamba, Mamadou},
     title = {{Safe speeds in rear-end collisions: Injury-risk thresholds from population-weighted event data recorder analysis}},
     journal = {Transport Policy},
     volume = {187},
     year = {2026},
     doi = {10.1016/j.tranpol.2026.104329},
     pages = {104329},
     themes = {transport},
     section = {journal}
   }

4. J54

   A network-based epidemic simulation model for assessing non-pharmaceutical interventions

   Sadek Benhammada, Souheila Khalfi, Abdelghani Ababsa, and 1 more author

   New Generation Computing, 2026

   DOI Bib

   @article{benhammada2026j54,
     author = {Benhammada, Sadek and Khalfi, Souheila and Ababsa, Abdelghani and Caraffini, Fabio},
     title = {{A network-based epidemic simulation model for assessing non-pharmaceutical interventions}},
     journal = {New Generation Computing},
     volume = {44},
     number = {3},
     year = {2026},
     pages = {26},
     doi = {10.1007/s00354-026-00330-y},
     themes = {health},
     section = {journal}
   }

5. J53

   Context-aware quantitative risk assessment machine learning model for drivers distraction

   Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden, and 1 more author

   Next Research, 2026

   DOI Bib

   @article{fasanmade2026j53,
     author = {Fasanmade, Adebamigbe and Al-Bayatti, Ali H. and Morden, Jarrad Neil and Caraffini, Fabio},
     title = {{Context-aware quantitative risk assessment machine learning model for drivers distraction}},
     journal = {Next Research},
     pages = {101931},
     year = {2026},
     doi = {10.1016/j.nexres.2026.101931},
     themes = {env, transport},
     section = {journal}
   }

6. J52

   A multimodal ensemble-based framework for detecting fake news using visual and textual features

   Muhammad Abdullah, Hongying Zan, Arifa Javed, and 5 more authors

   Mathematics, 2026

   DOI Bib

   @article{abdullah2026j52,
     author = {Abdullah, Muhammad and Zan, Hongying and Javed, Arifa and Sohail, Muhammad and Mamyrbayev, Orken and Turysbek, Zhanibek and Eshkiki, Hassan and Caraffini, Fabio},
     title = {{A multimodal ensemble-based framework for detecting fake news using visual and textual features}},
     journal = {Mathematics},
     volume = {14},
     number = {2},
     year = {2026},
     pages = {360},
     doi = {10.3390/math14020360},
     themes = {lang},
     section = {journal}
   }

7. J51

   Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models

   Muhammad Sohail, Hongying Zan, Muhammad Abdullah, and 3 more authors

   Knowledge-Based Systems, 2026

   DOI Bib

   @article{sohail2026j51,
     author = {Sohail, Muhammad and Zan, Hongying and Abdullah, Muhammad and Caraffini, Fabio and Javed, Arifa and Eshkiki, Hassan},
     title = {{Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models}},
     journal = {Knowledge-Based Systems},
     volume = {335},
     year = {2026},
     doi = {10.1016/j.knosys.2025.115206},
     pages = {115206},
     themes = {lang},
     section = {journal}
   }

2025

1. J50

   A survey of the application of explainable artificial intelligence in biomedical informatics

   Hassan Eshkiki, Farinaz Tanhaei, Fabio Caraffini, and 1 more author

   Applied Sciences, 2025

   DOI Bib

   @article{eshkiki2025j50,
     author = {Eshkiki, Hassan and Tanhaei, Farinaz and Caraffini, Fabio and Mora, Benjamin},
     title = {{A survey of the application of explainable artificial intelligence in biomedical informatics}},
     journal = {Applied Sciences},
     volume = {15},
     number = {24},
     year = {2025},
     doi = {10.3390/app152412934},
     themes = {health},
     section = {journal}
   }

2. J49

   Using generative artificial intelligence to enhance the performance of disadvantaged students in secondary education

   Fabio Caraffini and others

   Social Sciences & Humanities Open, 2025

   DOI Bib

   @article{caraffini2025j49,
     author = {Caraffini, Fabio and others},
     title = {{Using generative artificial intelligence to enhance the performance of disadvantaged students in secondary education}},
     journal = {Social Sciences \& Humanities Open},
     volume = {12},
     pages = {102110},
     year = {2025},
     doi = {10.1016/j.ssaho.2025.102110},
     themes = {lang, society},
     section = {journal}
   }

3. J48

   Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging

   Arslan Akbar, Suya Han, Naveed Urr Rehman, and 3 more authors

   Applied Intelligence, 2025

   DOI Bib

   @article{akbar2025j48,
     author = {Akbar, Arslan and Han, Suya and Rehman, Naveed Urr and Ahmed, Kanwal and Eshkiki, Hassan and Caraffini, Fabio},
     title = {{Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging}},
     journal = {Applied Intelligence},
     volume = {55},
     number = {13},
     year = {2025},
     pages = {901},
     doi = {10.1007/s10489-025-06803-9},
     themes = {health},
     section = {journal}
   }

4. J47

   A joint learning framework for fake news detection

   Muhammad Abdullah, Hongying Zan, Arifa Javed, and 3 more authors

   Displays, 2025

   DOI Bib

   @article{abdullah2025j47,
     author = {Abdullah, Muhammad and Zan, Hongying and Javed, Arifa and Mamyrbayev, Orken and Caraffini, Fabio and Eshkiki, Hassan},
     title = {{A joint learning framework for fake news detection}},
     journal = {Displays},
     volume = {90},
     year = {2025},
     doi = {10.1016/j.displa.2025.103154},
     pages = {103154},
     themes = {lang},
     section = {journal}
   }

5. J46

   Temporal optimisation of satellite image-based crop mapping: A comparison of deep time series and semi-supervised time warping strategies

   Rosie Finnegan, Joseph Metcalfe, Sara Sharifzadeh, and 4 more authors

   IET Computer Vision, 2025

   DOI Bib

   @article{finnegan2025j46,
     author = {Finnegan, Rosie and Metcalfe, Joseph and Sharifzadeh, Sara and Caraffini, Fabio and Xie, Xianghua and Hornero, Alberto and Synes, Nicholas W.},
     title = {{Temporal optimisation of satellite image-based crop mapping: A comparison of deep time series and semi-supervised time warping strategies}},
     journal = {IET Computer Vision},
     volume = {19},
     number = {1},
     year = {2025},
     doi = {10.1049/cvi2.70014},
     pages = {e70014},
     themes = {opt, env},
     section = {journal}
   }

2024

1. J45

   Using artificial intelligence to predict the financial impact of climate transition risks within organisations

   Juan F. Pérez-Pérez, Isis Bonet, María Solange Sánchez-Pinzón, and 2 more authors

   International Journal of Intelligent Systems, 2024

   DOI Bib

   @article{perezperez2024j45,
     author = {Pérez-Pérez, Juan F. and Bonet, Isis and Sánchez-Pinzón, María Solange and Caraffini, Fabio and Lochmuller, Christian},
     title = {{Using artificial intelligence to predict the financial impact of climate transition risks within organisations}},
     journal = {International Journal of Intelligent Systems},
     volume = {2024},
     number = {1},
     year = {2024},
     doi = {10.1155/int/3334263},
     pages = {3334263},
     themes = {env, society},
     section = {journal}
   }

2. J44

   Assessing climate transition risks in the colombian processed food sector: A fuzzy logic and multi-criteria decision-making approach

   Juan F. Pérez-Pérez, Pablo Isaza Gómez, Isis Bonet, and 3 more authors

   Mathematics, 2024

   DOI Bib

   @article{perezperez2024j44,
     author = {Pérez-Pérez, Juan F. and Gómez, Pablo Isaza and Bonet, Isis and Sánchez-Pinzón, María Solange and Caraffini, Fabio and Lochmuller, Christian},
     title = {{Assessing climate transition risks in the colombian processed food sector: A fuzzy logic and multi-criteria decision-making approach}},
     journal = {Mathematics},
     volume = {12},
     number = {17},
     year = {2024},
     doi = {10.3390/math12172713},
     themes = {env, mas},
     section = {journal}
   }

3. J43

   Hybrid summarization of medical records for predicting length of stay in the intensive care unit

   Soukaina Rhazzafe, Fabio Caraffini, Simon Colreavy-Donnelly, and 3 more authors

   Applied Sciences, 2024

   DOI Bib

   @article{rhazzafe2024j43,
     author = {Rhazzafe, Soukaina and Caraffini, Fabio and Colreavy-Donnelly, Simon and Dhassi, Younes and Kuhn, Stefan and Nikolov, Nikola S.},
     title = {{Hybrid summarization of medical records for predicting length of stay in the intensive care unit}},
     journal = {Applied Sciences},
     volume = {14},
     number = {13},
     year = {2024},
     doi = {10.3390/app14135809},
     themes = {health, lang},
     section = {journal}
   }

2023

1. J42

   Metaheuristics in the balance: A survey on memory-saving approaches for platforms with seriously limited resources

   Souheila Khalfi, Fabio Caraffini, and Giovanni Iacca

   International Journal of Intelligent Systems, 2023

   DOI Bib

   @article{khalfi2023j42,
     author = {Khalfi, Souheila and Caraffini, Fabio and Iacca, Giovanni},
     title = {{Metaheuristics in the balance: A survey on memory-saving approaches for platforms with seriously limited resources}},
     journal = {International Journal of Intelligent Systems},
     volume = {2023},
     number = {1},
     year = {2023},
     doi = {10.1155/2023/5708085},
     pages = {5708085},
     themes = {opt},
     section = {journal}
   }

2. J41

   Driving in the rain: A survey toward visibility estimation through windshields

   Jarrad Neil Morden, Fabio Caraffini, Ioannis Kypraios, and 2 more authors

   International Journal of Intelligent Systems, 2023

   DOI Bib

   @article{morden2023j41,
     author = {Morden, Jarrad Neil and Caraffini, Fabio and Kypraios, Ioannis and Al-Bayatti, Ali H. and Smith, Richard},
     title = {{Driving in the rain: A survey toward visibility estimation through windshields}},
     journal = {International Journal of Intelligent Systems},
     volume = {2023},
     number = {1},
     year = {2023},
     doi = {10.1155/2023/9939174},
     pages = {9939174},
     themes = {transport},
     section = {journal}
   }

3. J40

   The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond

   Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, and 2 more authors

   Evolutionary Computation, 2023

   DOI Bib

   @article{kononova2023j40,
     author = {Kononova, Anna V. and Vermetten, Diederick and Caraffini, Fabio and Mitran, Madalina-A. and Zaharie, Daniela},
     title = {{The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond}},
     journal = {Evolutionary Computation},
     pages = {1--46},
     year = {2023},
     doi = {10.1162/evco_a_00333},
     themes = {opt, behav},
     section = {journal}
   }

4. J39

   An evolutionary intelligent control system for a flexible joints robot

   Alejandro Pena, Juan C. Tejada, Juan David Gonzalez-Ruiz, and 4 more authors

   Applied Soft Computing, 2023

   DOI Bib

   @article{pena2023j39,
     author = {Pena, Alejandro and Tejada, Juan C. and Gonzalez-Ruiz, Juan David and Sepúlveda-Cano, Lina María and Chiclana, Francisco and Caraffini, Fabio and Gongora, Mario},
     title = {{An evolutionary intelligent control system for a flexible joints robot}},
     journal = {Applied Soft Computing},
     volume = {135},
     year = {2023},
     doi = {10.1016/j.asoc.2023.110043},
     pages = {110043},
     themes = {opt},
     section = {journal}
   }

5. J38

   Direct deduction of chemical class from nmr spectra

   Stefan Kuhn, Carlos Cobas, Agustin Barba, and 3 more authors

   Journal of Magnetic Resonance, 2023

   DOI Bib

   @article{kuhn2023j38,
     author = {Kuhn, Stefan and Cobas, Carlos and Barba, Agustin and Colreavy-Donnelly, Simon and Caraffini, Fabio and Borges, Ricardo Moreira},
     title = {{Direct deduction of chemical class from nmr spectra}},
     journal = {Journal of Magnetic Resonance},
     volume = {348},
     year = {2023},
     doi = {10.1016/j.jmr.2023.107381},
     pages = {107381},
     section = {journal}
   }

6. J33

   Towards a software tool for general meal optimisation

   James Izzard, Fabio Caraffini, and Francisco Chiclana

   Applied Intelligence, 2023

   DOI Bib

   @article{izzard2023j33,
     author = {Izzard, James and Caraffini, Fabio and Chiclana, Francisco},
     title = {{Towards a software tool for general meal optimisation}},
     journal = {Applied Intelligence},
     volume = {53},
     number = {7},
     pages = {7751--7775},
     year = {2023},
     doi = {10.1007/s10489-022-03935-0},
     themes = {opt, health},
     section = {journal}
   }

2022

1. J37

   An empirical investigation of multinationality and stock price crash risk for mncs in china

   Larry Su, Elmina Homapour, Fabio Caraffini, and 1 more author

   Mathematics, 2022

   DOI Bib HTML

   @article{su2022j37,
     author = {Su, Larry and Homapour, Elmina and Caraffini, Fabio and Chiclana, Francisco},
     title = {{An empirical investigation of multinationality and stock price crash risk for mncs in china}},
     journal = {Mathematics},
     volume = {10},
     number = {19},
     year = {2022},
     doi = {10.3390/math10193464},
     themes = {society},
     section = {journal}
   }

2. J36

   Particle swarm optimisation in practice: Multiple applications in a digital microscope system

   Louis Ryan, Stefan Kuhn, Simon Colreavy-Donnelly, and 1 more author

   Applied Sciences, 2022

   DOI Bib

   @article{ryan2022j36,
     author = {Ryan, Louis and Kuhn, Stefan and Colreavy-Donnelly, Simon and Caraffini, Fabio},
     title = {{Particle swarm optimisation in practice: Multiple applications in a digital microscope system}},
     journal = {Applied Sciences},
     volume = {12},
     number = {15},
     year = {2022},
     doi = {10.3390/app12157827},
     themes = {opt},
     section = {journal}
   }

3. J35

   A new moving peaks benchmark with attractors for dynamic evolutionary algorithms

   Matthew Fox, Shengxiang Yang, and Fabio Caraffini

   Swarm and Evolutionary Computation, 2022

   DOI Bib

   @article{fox2022j35,
     author = {Fox, Matthew and Yang, Shengxiang and Caraffini, Fabio},
     title = {{A new moving peaks benchmark with attractors for dynamic evolutionary algorithms}},
     journal = {Swarm and Evolutionary Computation},
     volume = {74},
     year = {2022},
     doi = {10.1016/j.swevo.2022.101125},
     pages = {101125},
     themes = {opt, behav},
     section = {journal}
   }

4. J34

   BIAS: A toolbox for benchmarking structural bias in the continuous domain

   Diederick Vermetten, Bas Stein, Fabio Caraffini, and 2 more authors

   IEEE Transactions on Evolutionary Computation, 2022

   DOI Bib

   @article{vermetten2022j34,
     author = {Vermetten, Diederick and van Stein, Bas and Caraffini, Fabio and Minku, Leandro L. and Kononova, Anna V.},
     title = {{BIAS: A toolbox for benchmarking structural bias in the continuous domain}},
     journal = {IEEE Transactions on Evolutionary Computation},
     volume = {26},
     number = {6},
     pages = {1380--1393},
     year = {2022},
     doi = {10.1109/TEVC.2022.3189848},
     themes = {behav},
     section = {journal}
   }

5. J32

   A proposed vr platform for supporting blended learning post covid-19

   Simon Colreavy-Donnelly, Alan Ryan, Stuart O’Connor, and 3 more authors

   Education Sciences, 2022

   DOI Bib

   @article{colreavydonnelly2022j32,
     author = {Colreavy-Donnelly, Simon and Ryan, Alan and O’Connor, Stuart and Caraffini, Fabio and Kuhn, Stefan and Hasshu, Salim},
     title = {{A proposed vr platform for supporting blended learning post covid-19}},
     journal = {Education Sciences},
     volume = {12},
     number = {7},
     year = {2022},
     doi = {10.3390/educsci12070435},
     themes = {society},
     section = {journal}
   }

6. J31

   Regression analysis of macroeconomic conditions and capital structures of publicly listed british firms

   Elmina Homapour, Larry Su, Fabio Caraffini, and 1 more author

   Mathematics, 2022

   DOI Bib

   @article{homapour2022j31,
     author = {Homapour, Elmina and Su, Larry and Caraffini, Fabio and Chiclana, Francisco},
     title = {{Regression analysis of macroeconomic conditions and capital structures of publicly listed british firms}},
     journal = {Mathematics},
     volume = {10},
     number = {7},
     year = {2022},
     doi = {10.3390/math10071119},
     pages = {1119},
     themes = {society},
     section = {journal}
   }

7. J27

   Using self-organising maps to predict and contain natural disasters and pandemics

   Raymond Moodley, Francisco Chiclana, Fabio Caraffini, and 1 more author

   International Journal of Intelligent Systems, 2022

   DOI Bib

   @article{moodley2022j27,
     author = {Moodley, Raymond and Chiclana, Francisco and Caraffini, Fabio and Gongora, Mario},
     title = {{Using self-organising maps to predict and contain natural disasters and pandemics}},
     journal = {International Journal of Intelligent Systems},
     volume = {37},
     number = {4},
     year = {2022},
     doi = {10.1002/int.22440},
     pages = {2739--2757},
     themes = {health, env},
     section = {journal}
   }

2021

1. J30

   Using optimisation meta-heuristics for the roughness estimation problem in river flow analysis

   Antonio Agresta, Marco Baioletti, Chiara Biscarini, and 3 more authors

   Applied Sciences, 2021

   DOI Bib

   @article{agresta2021j30,
     author = {Agresta, Antonio and Baioletti, Marco and Biscarini, Chiara and Caraffini, Fabio and Milani, Alfredo and Santucci, Valentino},
     title = {{Using optimisation meta-heuristics for the roughness estimation problem in river flow analysis}},
     journal = {Applied Sciences},
     volume = {11},
     number = {22},
     year = {2021},
     doi = {10.3390/app112210575},
     themes = {opt, env},
     section = {journal}
   }

2. J29

   Differential evolution outside the box

   Anna V. Kononova, Fabio Caraffini, and Thomas Bäck

   Information Sciences, 2021

   DOI Bib

   @article{kononova2021j29,
     author = {Kononova, Anna V. and Caraffini, Fabio and Bäck, Thomas},
     title = {{Differential evolution outside the box}},
     journal = {Information Sciences},
     volume = {581},
     pages = {587--604},
     year = {2021},
     doi = {10.1016/j.ins.2021.09.058},
     themes = {opt},
     section = {journal}
   }

3. J28

   SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security

   Stuart O’Connor, Salim Hasshu, James Bielby, and 4 more authors

   Information Sciences, 2021

   DOI Bib

   @article{oconnor2021j28,
     author = {O’Connor, Stuart and Hasshu, Salim and Bielby, James and Colreavy-Donnelly, Simon and Kuhn, Stefan and Caraffini, Fabio and Smith, Richard},
     title = {{SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security}},
     journal = {Information Sciences},
     volume = {580},
     pages = {524--540},
     year = {2021},
     doi = {10.1016/j.ins.2021.08.098},
     themes = {transport, society},
     section = {journal}
   }

4. J26

   Evolving deep learning convolutional neural networks for early covid-19 detection in chest x-ray images

   Mohammad Khishe, Fabio Caraffini, and Stefan Kuhn

   Mathematics, 2021

   DOI Bib

   @article{khishe2021j26,
     author = {Khishe, Mohammad and Caraffini, Fabio and Kuhn, Stefan},
     title = {{Evolving deep learning convolutional neural networks for early covid-19 detection in chest x-ray images}},
     journal = {Mathematics},
     volume = {9},
     number = {9},
     year = {2021},
     doi = {10.3390/math9091002},
     pages = {1002},
     themes = {opt, health},
     section = {journal}
   }

5. J25

   Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events

   Alejandro Pena, Alejandro Patino, Francisco Chiclana, and 4 more authors

   Applied Soft Computing, 2021

   DOI Bib

   @article{pena2021j25,
     author = {Pena, Alejandro and Patino, Alejandro and Chiclana, Francisco and Caraffini, Fabio and Gongora, Mario and Gonzalez-Ruiz, Juan D. and Duque-Grisales, Eduardo},
     title = {{Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events}},
     journal = {Applied Soft Computing},
     pages = {107381},
     year = {2021},
     doi = {10.1016/j.asoc.2021.107381},
     themes = {society},
     section = {journal}
   }

2020

1. J24

   Re-sampled inheritance compact optimization

   Giovanni Iacca and Fabio Caraffini

   Knowledge-Based Systems, 2020

   DOI Bib

   @article{iacca2020j24,
     author = {Iacca, Giovanni and Caraffini, Fabio},
     title = {{Re-sampled inheritance compact optimization}},
     journal = {Knowledge-Based Systems},
     volume = {208},
     year = {2020},
     doi = {10.1016/j.knosys.2020.106416},
     pages = {106416},
     themes = {opt},
     section = {journal}
   }

2. J23

   A robust decision-making framework based on collaborative agents

   Johana M Florez-Lozano, Fabio Caraffini, Carlos Parra, and 1 more author

   IEEE Access, 2020

   DOI Bib

   @article{florezlozano2020j23,
     author = {Florez-Lozano, Johana M and Caraffini, Fabio and Parra, Carlos and Gongora, Mario},
     title = {{A robust decision-making framework based on collaborative agents}},
     journal = {IEEE Access},
     volume = {8},
     pages = {150974--150988},
     year = {2020},
     doi = {10.1109/ACCESS.2020.3016784},
     themes = {mas},
     section = {journal}
   }

3. J22

   Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection

   Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, and 1 more author

   Information Fusion, 2020

   DOI Bib

   @article{florezlozano2020j22,
     author = {Florez-Lozano, Johana and Caraffini, Fabio and Parra, Carlos and Gongora, Mario},
     title = {{Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection}},
     journal = {Information Fusion},
     volume = {64},
     year = {2020},
     doi = {10.1016/j.inffus.2020.06.009},
     pages = {32 - 49},
     themes = {env, mas, transport},
     section = {journal}
   }

4. J21

   Shallow buried improvised explosive device detection via convolutional neural networks

   Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, and 3 more authors

   Integrated Computer-Aided Engineering, 2020

   DOI Bib

   @article{colreavydonnelly2020j21,
     author = {Colreavy-Donnelly, Simon and Caraffini, Fabio and Kuhn, Stefan and Gongora, Mario and Florez-Lozano, Johana and Parra, Carlos},
     title = {{Shallow buried improvised explosive device detection via convolutional neural networks}},
     journal = {Integrated Computer-Aided Engineering},
     pages = {1--14},
     year = {2020},
     number = {},
     doi = {10.3233/ICA-200638},
     themes = {env, transport},
     section = {journal}
   }

5. J20

   The SOS platform: designing, tuning and statistically benchmarking optimisation algorithms

   Fabio Caraffini and Giovanni Iacca

   Mathematics, 2020

   DOI Bib

   @article{caraffini2020j20,
     author = {Caraffini, Fabio and Iacca, Giovanni},
     title = {{The SOS platform: designing, tuning and statistically benchmarking optimisation algorithms}},
     journal = {Mathematics},
     pages = {785},
     year = {2020},
     doi = {10.3390/math8050785},
     volume = {},
     themes = {opt, behav},
     section = {journal}
   }

6. J19

   Using data mining in educational administration: A case study on improving school attendance

   Raymond Moodley, Francisco Chiclana, Jenny Carter, and 1 more author

   Applied Sciences, 2020

   DOI Bib

   @article{moodley2020j19,
     author = {Moodley, Raymond and Chiclana, Francisco and Carter, Jenny and Caraffini, Fabio},
     title = {{Using data mining in educational administration: A case study on improving school attendance}},
     journal = {Applied Sciences},
     volume = {10},
     number = {9},
     year = {2020},
     doi = {10.3390/app10093116},
     pages = {3116},
     themes = {society},
     section = {journal}
   }

7. J18

   Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients

   Athinoula A. Kosti, Simon Colreavy-Donnelly, Fabio Caraffini, and 1 more author

   Mathematics, 2020

   DOI Bib

   @article{kosti2020j18,
     author = {Kosti, Athinoula A. and Colreavy-Donnelly, Simon and Caraffini, Fabio and Anastassi, Zacharias A.},
     title = {{Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients}},
     journal = {Mathematics},
     volume = {8},
     number = {3},
     pages = {374},
     year = {2020},
     doi = {10.3390/MATH8030374},
     section = {journal}
   }

8. J15

   A product-centric data mining algorithm for targeted promotions

   Raymond Moodley, Francisco Chiclana, Fabio Caraffini, and 1 more author

   Journal of Retailing and Consumer Services, 2020

   DOI Bib

   @article{moodley2020j15,
     author = {Moodley, Raymond and Chiclana, Francisco and Caraffini, Fabio and Carter, Jenny},
     title = {{A product-centric data mining algorithm for targeted promotions}},
     journal = {Journal of Retailing and Consumer Services},
     year = {2020},
     doi = {10.1016/j.jretconser.2019.101940},
     pages = {101940},
     themes = {society},
     section = {journal}
   }

2019

1. J17

   A clustering system for dynamic data streams based on metaheuristic optimisation

   Jia Ming Yeoh, Fabio Caraffini, Elmina Homapour, and 2 more authors

   Mathematics, 2019

   DOI Bib

   @article{yeoh2019j17,
     author = {Yeoh, Jia Ming and Caraffini, Fabio and Homapour, Elmina and Santucci, Valentino and Milani, Alfredo},
     title = {{A clustering system for dynamic data streams based on metaheuristic optimisation}},
     journal = {Mathematics},
     volume = {12},
     year = {2019},
     doi = {10.3390/math7121229},
     pages = {1229},
     themes = {opt},
     section = {journal}
   }

2. J16

   An optimisation-driven prediction method for automated diagnosis and prognosis

   Valentino Santucci, Alfredo Milani, and Fabio Caraffini

   Mathematics, 2019

   DOI Bib

   @article{santucci2019j16,
     author = {Santucci, Valentino and Milani, Alfredo and Caraffini, Fabio},
     title = {{An optimisation-driven prediction method for automated diagnosis and prognosis}},
     journal = {Mathematics},
     volume = {7},
     year = {2019},
     doi = {10.3390/math7111051},
     pages = {1052},
     themes = {opt, health},
     section = {journal}
   }

3. J14

   Infeasibility and structural bias in differential evolution

   Fabio Caraffini, Anna V. Kononova, and David Corne

   Information Sciences, 2019

   DOI Bib

   @article{caraffini2019j14,
     author = {Caraffini, Fabio and Kononova, Anna V. and Corne, David},
     title = {{Infeasibility and structural bias in differential evolution}},
     journal = {Information Sciences},
     year = {2019},
     doi = {10.1016/j.ins.2019.05.019},
     pages = {161 - 179},
     themes = {opt, behav},
     section = {journal}
   }

4. J13

   HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain

   Fabio Caraffini, Ferrante Neri, and Michael Epitropakis

   Information Sciences, 2019

   DOI Bib

   @article{caraffini2019j13,
     author = {Caraffini, Fabio and Neri, Ferrante and Epitropakis, Michael},
     title = {{HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain}},
     journal = {Information Sciences},
     volume = {477},
     year = {2019},
     doi = {10.1016/j.ins.2018.10.033},
     pages = {186 - 202},
     themes = {opt},
     section = {journal}
   }

5. J12

   A study on rotation invariance in differential evolution

   Fabio Caraffini and Ferrante Neri

   Swarm and Evolutionary Computation, 2019

   DOI Bib

   @article{caraffini2019j12,
     author = {Caraffini, Fabio and Neri, Ferrante},
     title = {{A study on rotation invariance in differential evolution}},
     journal = {Swarm and Evolutionary Computation},
     volume = {50},
     year = {2019},
     doi = {10.1016/j.swevo.2018.08.013},
     pages = {100436},
     themes = {opt, behav},
     section = {journal}
   }

6. J11

   Application of uninorms to market basket analysis

   Raymond Moodley, Francisco Chiclana, Fabio Caraffini, and 1 more author

   International Journal of Intelligent Systems, 2019

   DOI Bib

   @article{moodley2019j11,
     author = {Moodley, Raymond and Chiclana, Francisco and Caraffini, Fabio and Carter, Jenny},
     title = {{Application of uninorms to market basket analysis}},
     journal = {International Journal of Intelligent Systems},
     volume = {34},
     number = {1},
     pages = {39--49},
     year = {2019},
     doi = {10.1002/int.22039},
     themes = {society},
     section = {journal}
   }

2015

1. J10

   Multicriteria adaptive differential evolution for global numerical optimization

   Jixianga Cheng, Gexianga Zhang, Fabio Caraffini, and 1 more author

   Integrated Computer-Aided Engineering, 2015

   Bib

   @article{cheng2015j10,
     author = {Cheng, Jixianga and Zhang, Gexianga and Caraffini, Fabio and Neri, Ferrante},
     title = {{Multicriteria adaptive differential evolution for global numerical optimization}},
     journal = {Integrated Computer-Aided Engineering},
     volume = {22},
     number = {2},
     pages = {103--107},
     year = {2015},
     themes = {opt},
     section = {journal}
   }

2. J9

   Structural bias in population-based algorithms

   Anna Kononova, David W. Corne, Philippe De Wilde, and 2 more authors

   Information Sciences, 2015

   Bib

   @article{kononova2015j9,
     author = {Kononova, Anna and Corne, David W. and De Wilde, Philippe and Shneer, Vsevolod and Caraffini, Fabio},
     title = {{Structural bias in population-based algorithms}},
     journal = {Information Sciences},
     volume = {298},
     pages = {468--490},
     year = {2015},
     themes = {behav},
     section = {journal}
   }

3. J8

   Cluster-based population initialization for differential evolution frameworks

   Ilpo Poikolainen, Ferrante Neri, and Fabio Caraffini

   Information Sciences, 2015

   Bib

   @article{poikolainen2015j8,
     author = {Poikolainen, Ilpo and Neri, Ferrante and Caraffini, Fabio},
     title = {{Cluster-based population initialization for differential evolution frameworks}},
     journal = {Information Sciences},
     volume = {297},
     pages = {216--235},
     year = {2015},
     themes = {opt},
     section = {journal}
   }

2014

1. J7

   An analysis on separability for memetic computing automatic design

   Fabio Caraffini, Ferrante Neri, and Lorenzo Picinali

   Information Sciences, 2014

   DOI Bib

   @article{caraffini2014j7,
     author = {Caraffini, Fabio and Neri, Ferrante and Picinali, Lorenzo},
     title = {{An analysis on separability for memetic computing automatic design}},
     journal = {Information Sciences},
     volume = {265},
     year = {2014},
     doi = {10.1016/j.ins.2013.12.044},
     pages = {1 - 22},
     themes = {opt, behav},
     section = {journal}
   }

2. J6

   Multi-strategy coevolving aging particle optimization

   Giovanni Iacca, Fabio Caraffini, and Ferrante Neri

   International Journal of Neural Systems, 2014

   DOI Bib

   @article{iacca2014j6,
     author = {Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante},
     title = {{Multi-strategy coevolving aging particle optimization}},
     journal = {International Journal of Neural Systems},
     volume = {24},
     number = {01},
     year = {2014},
     doi = {10.1142/S0129065714500087},
     pages = {1450008},
     themes = {opt},
     section = {journal}
   }

2013

1. J5

   Re-sampled inheritance search: High performance despite the simplicity

   Fabio Caraffini, Ferrante Neri, Benjamin N. Passow, and 1 more author

   Soft Computing, 2013

   Bib

   @article{caraffini2013j5,
     author = {Caraffini, Fabio and Neri, Ferrante and Passow, Benjamin N. and Iacca, Giovanni},
     title = {{Re-sampled inheritance search: High performance despite the simplicity}},
     journal = {Soft Computing},
     pages = {1--22},
     year = {2013},
     themes = {opt},
     section = {journal}
   }

2. J4

   Focusing the search: a progressively shrinking memetic computing framework

   I. Poikolainen, Giovanni Iacca, Fabio Caraffini, and 1 more author

   International Journal of Innovative Computing and Applications, 2013

   Bib

   @article{poikolainen2013j4,
     author = {Poikolainen, I. and Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante},
     title = {{Focusing the search: a progressively shrinking memetic computing framework}},
     journal = {International Journal of Innovative Computing and Applications},
     volume = {5},
     year = {2013},
     pages = {127--142},
     themes = {opt},
     section = {journal}
   }

3. J3

   Memory-saving memetic computing for path-following mobile robots

   Giovanni Iacca, Fabio Caraffini, and Ferrante Neri

   Applied Soft Computing, 2013

   Bib

   @article{iacca2013j3,
     author = {Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante},
     title = {{Memory-saving memetic computing for path-following mobile robots}},
     journal = {Applied Soft Computing},
     volume = {13},
     number = {4},
     year = {2013},
     pages = {2003 - 2016},
     themes = {opt},
     section = {journal}
   }

4. J2

   Parallel memetic structures

   Fabio Caraffini, Ferrante Neri, Giovanni Iacca, and 1 more author

   Information Sciences, 2013

   DOI Bib

   @article{caraffini2013j2,
     author = {Caraffini, Fabio and Neri, Ferrante and Iacca, Giovanni and Mol, Aran},
     title = {{Parallel memetic structures}},
     journal = {Information Sciences},
     volume = {227},
     number = {0},
     year = {2013},
     doi = {10.1016/j.ins.2012.11.017},
     pages = { 60 - 82 },
     themes = {opt},
     section = {journal}
   }

2012

1. J1

   Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead

   Giovanni Iacca, Fabio Caraffini, and Ferrante Neri

   Journal of Computer Science and Technology, 2012

   Bib

   @article{iacca2012j1,
     author = {Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante},
     title = {{Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead}},
     journal = {Journal of Computer Science and Technology},
     volume = {27},
     number = {5},
     pages = {1056--1076},
     year = {2012},
     themes = {opt},
     section = {journal}
   }

2027

1. P48

   Comparative analysis of convolutional, transformer and hybrid architectures for lateral ventricle segmentation in neonatal cranial ultrasound

   Amarilis Lopez-Guerrero, Fabio Caraffini, Isidro A. Gutierrez-Alvarez, and 2 more authors

   In Telematics and Computing, 2027

   DOI Bib

   @inproceedings{lopezguerrero2027p48,
     author = {Lopez-Guerrero, Amarilis and Caraffini, Fabio and Gutierrez-Alvarez, Isidro A. and Alfonso-Francia, Gendry and Arriaga, Saúl Tovar},
     title = {{Comparative analysis of convolutional, transformer and hybrid architectures for lateral ventricle segmentation in neonatal cranial ultrasound}},
     booktitle = {Telematics and Computing},
     pages = {348--364},
     year = {2027},
     doi = {10.1007/978-3-032-42763-2_19},
     themes = {health},
     section = {conference}
   }

2026

1. P49

   CNNs for bean leaf disease classification: Accuracy-efficiency trade-off analysis

   Widad Oucif, Souheila Khalfi, Fabio Caraffini, and 1 more author

   In 2026 IEEE International Conference on Artificial Intelligence and Autonomous Systems (ICAIAS), 2026

   Bib

   @inproceedings{oucif2026p49,
     author = {Oucif, Widad and Khalfi, Souheila and Caraffini, Fabio and Melgani, Farid},
     title = {{CNNs for bean leaf disease classification: Accuracy-efficiency trade-off analysis}},
     booktitle = {2026 IEEE International Conference on Artificial Intelligence and Autonomous Systems (ICAIAS)},
     year = {2026},
     themes = {env},
     section = {conference}
   }

2. P47

   Creating synthetic test data for rail design tools – the case of linear scheme plans

   Marek T. Jezinski, Markus Roggenbach, Monika Seisenberger, and 2 more authors

   In Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 2026

   DOI Bib

   @inproceedings{jezinski2026p47,
     author = {Jezinski, Marek T. and Roggenbach, Markus and Seisenberger, Monika and Cai, Victor and Caraffini, Fabio},
     title = {{Creating synthetic test data for rail design tools – the case of linear scheme plans}},
     booktitle = {Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification},
     pages = {78--87},
     year = {2026},
     doi = {10.1007/978-3-032-10762-6_8},
     themes = {transport},
     section = {conference}
   }

3. P46

   Enhancing cardiac cell networks segmentation via hybrid supervised and zero-shot strategies

   Sarah Costa, Hassan Eshkiki, Fabio Caraffini, and 1 more author

   In Artificial Intelligence in Healthcare, 2026

   DOI Bib

   @inproceedings{costa2026p46,
     author = {Costa, Sarah and Eshkiki, Hassan and Caraffini, Fabio and George, Christopher H.},
     title = {{Enhancing cardiac cell networks segmentation via hybrid supervised and zero-shot strategies}},
     booktitle = {Artificial Intelligence in Healthcare},
     pages = {351--365},
     year = {2026},
     doi = {10.1007/978-3-031-67285-9_8},
     themes = {health},
     section = {conference}
   }

2025

1. P45

   A multi-agent system for optimal train scheduling in single-track railways

   Raziyeh Moghaddas, Fabio Caraffini, and Monika Seisenberger

   In Applications of Evolutionary Computation, 2025

   DOI Bib

   @inproceedings{moghaddas2025p45,
     author = {Moghaddas, Raziyeh and Caraffini, Fabio and Seisenberger, Monika},
     title = {{A multi-agent system for optimal train scheduling in single-track railways}},
     booktitle = {Applications of Evolutionary Computation},
     pages = {320--333},
     year = {2025},
     doi = {10.1007/978-3-031-90065-5_20},
     themes = {mas, transport},
     section = {conference}
   }

2024

1. P44

   Towards improving single-cell segmentation in heterogeneous configurations of cardiomyocyte networks

   Fabio Caraffini, Hassan Eshkiki, Mostafa Mohammadpour, and 2 more authors

   In Artificial Intelligence in Healthcare, 2024

   DOI Bib

   @inproceedings{caraffini2024p44,
     author = {Caraffini, Fabio and Eshkiki, Hassan and Mohammadpour, Mostafa and Sullo, Nikol and George, Christopher H.},
     title = {{Towards improving single-cell segmentation in heterogeneous configurations of cardiomyocyte networks}},
     booktitle = {Artificial Intelligence in Healthcare},
     pages = {104--117},
     year = {2024},
     doi = {10.1007/978-3-031-67285-9_8},
     themes = {health},
     section = {conference}
   }

2. P43

   Segmenting breast ultrasound scans using a generative adversarial network embedding u-net

   Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, and 3 more authors

   In Artificial Intelligence in Healthcare, 2024

   DOI Bib

   @inproceedings{enobun2024p43,
     author = {Enobun, Abraham Etinosa and Anakwenze, Uche Henry and Taherkhani, Aboozar and Anastassi, Zacharias and Caraffini, Fabio and Eshkiki, Hassan},
     title = {{Segmenting breast ultrasound scans using a generative adversarial network embedding u-net}},
     booktitle = {Artificial Intelligence in Healthcare},
     pages = {149--159},
     year = {2024},
     doi = {10.1007/978-3-031-67285-9_11},
     themes = {health},
     section = {conference}
   }

3. P42

   An investigation on the use of large language models for hyperparameter tuning in evolutionary algorithms

   Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO ’24 Companion, 2024

   DOI Bib

   @inproceedings{custode2024p42,
     author = {Custode, Leonardo Lucio and Caraffini, Fabio and Yaman, Anil and Iacca, Giovanni},
     title = {{An investigation on the use of large language models for hyperparameter tuning in evolutionary algorithms}},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO ’24 Companion},
     pages = {1838--1845},
     year = {2024},
     doi = {10.1145/3638530.3664163},
     themes = {opt, lang},
     section = {conference}
   }

2023

1. P41

   Image processing model to estimate nutritional values in raw and cooked vegetables

   Tan Jo Yen, Sivakumar Vengusamy, Fabio Caraffini, and 2 more authors

   In 2023 34th Conference of Open Innovations Association (FRUCT), 2023

   DOI Bib

   @inproceedings{yen2023p41,
     author = {Yen, Tan Jo and Vengusamy, Sivakumar and Caraffini, Fabio and Kuhn, Stefan and Colreavy-Donnelly, Simon},
     title = {{Image processing model to estimate nutritional values in raw and cooked vegetables}},
     booktitle = {2023 34th Conference of Open Innovations Association (FRUCT)},
     pages = {183--191},
     year = {2023},
     doi = {10.23919/FRUCT60429.2023.10328158},
     volume = {},
     number = {},
     themes = {health},
     section = {conference}
   }

2. P40

   Extended reality, augmented users, and design implications for virtual learning environments

   Lilian G Motti Ader, Katie Crowley, Stefan Kuhn, and 3 more authors

   In 2023 IEEE International Symposium on Technology and Society (ISTAS), 2023

   Bib

   @inproceedings{mottiader2023p40,
     author = {Motti Ader, Lilian G and Crowley, Katie and Kuhn, Stefan and Caraffini, Fabio and Altındağ, Turgay and Colreavy-Donnelly, Simon},
     title = {{Extended reality, augmented users, and design implications for virtual learning environments}},
     booktitle = {2023 IEEE International Symposium on Technology and Society (ISTAS)},
     pages = {1--8},
     year = {2023},
     themes = {society},
     section = {conference}
   }

3. P39

   Forecasting climate transition regulatory and market risk variables with machine learning

   Juan F Pérez-Pérez, Isis Bonet Cruz, María Solange Sánchez-Pinzón, and 2 more authors

   In 2023 IEEE International Symposium on Technology and Society (ISTAS), 2023

   Bib

   @inproceedings{perezperez2023p39,
     author = {Pérez-Pérez, Juan F and Bonet Cruz, Isis and Sánchez-Pinzón, María Solange and Caraffini, Fabio and Lochmuller, Christian},
     title = {{Forecasting climate transition regulatory and market risk variables with machine learning}},
     booktitle = {2023 IEEE International Symposium on Technology and Society (ISTAS)},
     pages = {1--8},
     year = {2023},
     themes = {env},
     section = {conference}
   }

4. P38

   Patterns of convergence and bound constraint violation in differential evolution on sbox-cost benchmarking suite

   Mădălina-Andreea Mitran, Anna Kononova, Fabio Caraffini, and 1 more author

   In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, GECCO ’23 Companion, 2023

   DOI Bib

   @inproceedings{mitran2023p38,
     author = {Mitran, Mădălina-Andreea and Kononova, Anna and Caraffini, Fabio and Zaharie, Daniela},
     title = {{Patterns of convergence and bound constraint violation in differential evolution on sbox-cost benchmarking suite}},
     booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation, GECCO ’23 Companion},
     pages = {2337--2345},
     year = {2023},
     doi = {10.1145/3583133.3596410},
     themes = {opt, behav},
     section = {conference}
   }

5. P37

   Deep bias: Detecting structural bias using explainable AI

   Bas Van Stein, Diederick Vermetten, Fabio Caraffini, and 1 more author

   In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, GECCO ’23 Companion, 2023

   DOI Bib

   @inproceedings{vanstein2023p37,
     author = {Van Stein, Bas and Vermetten, Diederick and Caraffini, Fabio and Kononova, Anna V.},
     title = {{Deep bias: Detecting structural bias using explainable AI}},
     booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation, GECCO ’23 Companion},
     pages = {455--458},
     year = {2023},
     doi = {10.1145/3583133.3590551},
     themes = {behav},
     section = {conference}
   }

6. P36

   Modular differential evolution

   Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’23, 2023

   DOI Bib

   @inproceedings{vermetten2023p36,
     author = {Vermetten, Diederick and Caraffini, Fabio and Kononova, Anna V. and Bäck, Thomas},
     title = {{Modular differential evolution}},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’23},
     pages = {864--872},
     year = {2023},
     doi = {10.1145/3583131.3590417},
     themes = {opt},
     section = {conference}
   }

7. P35

   An intelligent optimised estimation of the hydraulic jump roller length

   Antonio Agresta, Chiara Biscarini, Fabio Caraffini, and 1 more author

   In Applications of Evolutionary Computation, 2023

   DOI Bib

   @inproceedings{agresta2023p35,
     author = {Agresta, Antonio and Biscarini, Chiara and Caraffini, Fabio and Santucci, Valentino},
     title = {{An intelligent optimised estimation of the hydraulic jump roller length}},
     booktitle = {Applications of Evolutionary Computation},
     pages = {475--490},
     year = {2023},
     doi = {10.1007/978-3-031-30229-9_31},
     themes = {opt, env},
     section = {conference}
   }

8. P34

   An AI-based support system for microgrids energy management

   Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, and 1 more author

   In Applications of Evolutionary Computation, 2023

   DOI Bib

   @inproceedings{puerta2023p34,
     author = {Puerta, Alejandro and Hoyos, Santiago Horacio and Bonet, Isis and Caraffini, Fabio},
     title = {{An AI-based support system for microgrids energy management}},
     booktitle = {Applications of Evolutionary Computation},
     pages = {507--518},
     year = {2023},
     doi = {10.1007/978-3-031-30229-9_33},
     themes = {env},
     section = {conference}
   }

9. P33

   Data-driven design for anomaly detection in network access control systems

   Musa Abubakar Muhammad, Fabio Caraffini, Adebamigbe Fasanmade, and 3 more authors

   In 2023 International Conference on Business Analytics for Technology and Security (ICBATS), 2023

   DOI Bib

   @inproceedings{muhammad2023p33,
     author = {Muhammad, Musa Abubakar and Caraffini, Fabio and Fasanmade, Adebamigbe and Ishola, Olabayo and Mohammed, Kabiru and Morden, Jarrad},
     title = {{Data-driven design for anomaly detection in network access control systems}},
     booktitle = {2023 International Conference on Business Analytics for Technology and Security (ICBATS)},
     pages = {1--10},
     year = {2023},
     doi = {10.1109/ICBATS57792.2023.10111130},
     volume = {},
     number = {},
     themes = {transport},
     section = {conference}
   }

2022

1. P32

   Emotimask: Mapping mouth movements to an LED matrix for improving recognition when teaching with a face mask

   Salim Hasshu, Stuart O’Connor, Simon Colreavy-Donnelly, and 3 more authors

   In The European Conference on Education 2022: Official Conference Proceedings, 2022

   Bib

   @inproceedings{hasshu2022p32,
     author = {Hasshu, Salim and O’Connor, Stuart and Colreavy-Donnelly, Simon and Ryan, Alan and Caraffini, Fabio and Kuhn, Stefan},
     title = {{Emotimask: Mapping mouth movements to an LED matrix for improving recognition when teaching with a face mask}},
     booktitle = {The European Conference on Education 2022: Official Conference Proceedings},
     publisher = {iafor},
     year = {2022},
     themes = {society},
     section = {conference}
   }

2. P31

   Using Structural Bias to Analyse the Behaviour of Modular CMA-ES

   Diederick Vermetten, Fabio Caraffini, Bas Stein, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

   Bib

   @inproceedings{vermetten2022p31,
     author = {Vermetten, Diederick and Caraffini, Fabio and van Stein, Bas and Kononova, Anna V.},
     title = {{Using Structural Bias to Analyse the Behaviour of Modular CMA-ES}},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {9},
     year = {2022},
     themes = {opt, behav},
     section = {conference}
   }

2021

1. P30

   Emergence of Structural Bias in Differential Evolution

   Bas Stein, Fabio Caraffini, and Anna V. Kononova

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021

   DOI Bib

   @inproceedings{vanstein2021p30,
     author = {van Stein, Bas and Caraffini, Fabio and Kononova, Anna V.},
     title = {{Emergence of Structural Bias in Differential Evolution}},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {1234--1242},
     doi = {10.1145/3449726.3463223},
     year = {2021},
     themes = {opt, behav},
     section = {conference}
   }

2. P29

   Is There Anisotropy in Structural Bias?

   Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, and 2 more authors

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021

   DOI Bib

   @inproceedings{vermetten2021p29,
     author = {Vermetten, Diederick and Kononova, Anna V. and Caraffini, Fabio and Wang, Hao and Bäck, Thomas},
     title = {{Is There Anisotropy in Structural Bias?}},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {1243--1250},
     doi = {10.1145/3449726.3463218},
     year = {2021},
     themes = {behav},
     section = {conference}
   }

2020

1. P28

   Can compact optimisation algorithms be structurally biased?

   Anna V. Kononova, Fabio Caraffini, Hao Wang, and 1 more author

   In Parallel Problem Solving from Nature – PPSN XVI, 2020

   DOI Bib

   @inproceedings{kononova2020p28,
     author = {Kononova, Anna V. and Caraffini, Fabio and Wang, Hao and Bäck, Thomas},
     title = {{Can compact optimisation algorithms be structurally biased?}},
     booktitle = {Parallel Problem Solving from Nature – PPSN XVI},
     pages = {229--242},
     year = {2020},
     doi = {10.1007/978-3-030-58112-1_16},
     themes = {opt},
     section = {conference}
   }

2. P27

   A neural network for interpolating light-sources

   Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, and 3 more authors

   In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020

   Bib

   @inproceedings{colreavydonnelly2020p27,
     author = {Colreavy-Donnelly, Simon and Kuhn, Stefan and Caraffini, Fabio and O’Connor, Stuart and Anastassi, Zacharias and Coupland, Simon},
     title = {{A neural network for interpolating light-sources}},
     booktitle = {2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)},
     pages = {1634--1640},
     year = {2020},
     section = {conference}
   }

3. P26

   Training data set assessment for decision-making in a multiagent landmine detection platform

   Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, and 1 more author

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   Bib

   @inproceedings{florezlozano2020p26,
     author = {Florez-Lozano, Johana and Caraffini, Fabio and Parra, Carlos and Gongora, Mario},
     title = {{Training data set assessment for decision-making in a multiagent landmine detection platform}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--8},
     year = {2020},
     volume = {},
     number = {},
     themes = {mas, transport},
     section = {conference}
   }

4. P25

   Can single solution optimisation methods be structurally biased?

   Anna V. Kononova, Fabio Caraffini, Hao Wang, and 1 more author

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   Bib

   @inproceedings{kononova2020p25,
     author = {Kononova, Anna V. and Caraffini, Fabio and Wang, Hao and Bäck, Thomas},
     title = {{Can single solution optimisation methods be structurally biased?}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--9},
     year = {2020},
     volume = {},
     number = {},
     themes = {opt},
     section = {conference}
   }

5. P24

   An experimental study of prediction methods in robust optimization over time

   Matthew Fox, Shengxiang Yang, and Fabio Caraffini

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   Bib

   @inproceedings{fox2020p24,
     author = {Fox, Matthew and Yang, Shengxiang and Caraffini, Fabio},
     title = {{An experimental study of prediction methods in robust optimization over time}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--7},
     year = {2020},
     volume = {},
     number = {},
     themes = {opt},
     section = {conference}
   }

6. P23

   Oil palm detection via deep transfer learning

   Isis Bonet, Fabio Caraffini, Alejandro Pena, and 2 more authors

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   Bib

   @inproceedings{bonet2020p23,
     author = {Bonet, Isis and Caraffini, Fabio and Pena, Alejandro and Puerta, Alejandro and gongora, Mario},
     title = {{Oil palm detection via deep transfer learning}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--8},
     year = {2020},
     volume = {},
     number = {},
     themes = {env},
     section = {conference}
   }

7. P22

   Identifying parkinson’s disease through the classification of audio recording data

   James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, and 3 more authors

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   Bib

   @inproceedings{bielby2020p22,
     author = {Bielby, James and Kuhn, Stefan and Colreavy-Donnelly, Simon and Caraffini, Fabio and O’Connor, Stuart and Anastassi, Zacharias},
     title = {{Identifying parkinson’s disease through the classification of audio recording data}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--7},
     year = {2020},
     volume = {},
     number = {},
     themes = {health},
     section = {conference}
   }

8. P21

   A multi-agent system for modelling the spread of lethal wilt in oil-palm plantations

   Conor Fahy, Fabio Caraffini, and Mario Gongora

   In 2020 IEEE Congress on Evolutionary Computation (CEC), 2020

   DOI Bib

   @inproceedings{fahy2020p21,
     author = {Fahy, Conor and Caraffini, Fabio and Gongora, Mario},
     title = {{A multi-agent system for modelling the spread of lethal wilt in oil-palm plantations}},
     booktitle = {2020 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1--7},
     year = {2020},
     doi = {10.1109/CEC48606.2020.9185742},
     volume = {},
     number = {},
     themes = {env, mas},
     section = {conference}
   }

2019

1. P20

   Validation of convolutional layers in deep learning models to identify patterns in multispectral images

   A. Peña, I. Bonet, D. Manzur, and 2 more authors

   In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019

   DOI Bib

   @inproceedings{pena2019p20,
     author = {Peña, A. and Bonet, I. and Manzur, D. and Gongora, M. and Caraffini, F.},
     title = {{Validation of convolutional layers in deep learning models to identify patterns in multispectral images}},
     booktitle = {2019 14th Iberian Conference on Information Systems and Technologies (CISTI)},
     pages = {1--6},
     year = {2019},
     doi = {10.23919/CISTI.2019.8760741},
     volume = {},
     number = {},
     themes = {env},
     section = {conference}
   }

2. P19

   Compact optimization algorithms with re-sampled inheritance

   Giovanni Iacca and Fabio Caraffini

   In Applications of Evolutionary Computation, 2019

   DOI Bib

   @inproceedings{iacca2019p19,
     author = {Iacca, Giovanni and Caraffini, Fabio},
     title = {{Compact optimization algorithms with re-sampled inheritance}},
     booktitle = {Applications of Evolutionary Computation},
     pages = {523--534},
     year = {2019},
     doi = {10.1007/978-3-030-16692-2_35},
     themes = {opt},
     section = {conference}
   }

3. P18

   Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach

   Fabio Caraffini, Giovanni Iacca, and Anil Yaman

   In AIP Conference Proceedings, 2019

   DOI Bib

   @inproceedings{caraffini2019p18,
     author = {Caraffini, Fabio and Iacca, Giovanni and Yaman, Anil},
     title = {{Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach}},
     booktitle = {AIP Conference Proceedings},
     volume = {2070},
     number = {1},
     pages = {020004},
     year = {2019},
     doi = {10.1063/1.5089971},
     themes = {opt},
     section = {conference}
   }

4. P17

   Structural bias in differential evolution: A preliminary study

   Fabio Caraffini and Anna V. Kononova

   In AIP Conference Proceedings, 2019

   DOI Bib

   @inproceedings{caraffini2019p17,
     author = {Caraffini, Fabio and Kononova, Anna V.},
     title = {{Structural bias in differential evolution: A preliminary study}},
     booktitle = {AIP Conference Proceedings},
     volume = {2070},
     number = {1},
     pages = {020005},
     year = {2019},
     doi = {10.1063/1.5089972},
     themes = {opt, behav},
     section = {conference}
   }

5. P16

   A comparison of three differential evolution strategies in terms of early convergence with different population sizes

   Anil Yaman, Giovanni Iacca, and Fabio Caraffini

   In AIP Conference Proceedings, 2019

   DOI Bib

   @inproceedings{yaman2019p16,
     author = {Yaman, Anil and Iacca, Giovanni and Caraffini, Fabio},
     title = {{A comparison of three differential evolution strategies in terms of early convergence with different population sizes}},
     booktitle = {AIP Conference Proceedings},
     volume = {2070},
     number = {1},
     pages = {020002},
     year = {2019},
     doi = {10.1063/1.5089969},
     themes = {opt, behav},
     section = {conference}
   }

2018

1. P15

   Rotation invariance and rotated problems: An experimental study on differential evolution

   Fabio Caraffini and Ferrante Neri

   In Applications of Evolutionary Computation, 2018

   DOI Bib

   @inproceedings{caraffini2018p15,
     author = {Caraffini, Fabio and Neri, Ferrante},
     title = {{Rotation invariance and rotated problems: An experimental study on differential evolution}},
     booktitle = {Applications of Evolutionary Computation},
     series = {Lecture Notes in Computer Science},
     volume = {10784},
     pages = {597--614},
     year = {2018},
     doi = {10.1007/978-3-319-77538-8_41},
     themes = {opt, behav},
     section = {conference}
   }

2017

1. P14

   Large scale problems in practice: The effect of dimensionality on the interaction among variables

   F. Caraffini, F. Neri, and G. Iacca

   In Applications of Evolutionary Computation (EvoApplications 2017), 2017

   DOI Bib

   @inproceedings{caraffini2017p14,
     author = {Caraffini, F. and Neri, F. and Iacca, G.},
     title = {{Large scale problems in practice: The effect of dimensionality on the interaction among variables}},
     booktitle = {Applications of Evolutionary Computation (EvoApplications 2017)},
     series = {Lecture Notes in Computer Science},
     volume = {10199},
     pages = {636--652},
     year = {2017},
     doi = {10.1007/978-3-319-55849-3_41},
     themes = {behav},
     section = {conference}
   }

2015

1. P13

   Continuous parameter pools in ensemble differential evolution

   G. Iacca, F. Caraffini, and F. Neri

   In 2015 IEEE Symposium Series on Computational Intelligence, 2015

   Bib

   @inproceedings{iacca2015p13,
     author = {Iacca, G. and Caraffini, F. and Neri, F.},
     title = {{Continuous parameter pools in ensemble differential evolution}},
     booktitle = {2015 IEEE Symposium Series on Computational Intelligence},
     pages = {1529--1536},
     year = {2015},
     themes = {opt},
     section = {conference}
   }

2014

1. P12

   Separability prototype for automatic memes with adaptive operator selection

   Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, and 1 more author

   In IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing, 2014

   Bib

   @inproceedings{epitropakis2014p12,
     author = {Epitropakis, Michael G. and Caraffini, Fabio and Neri, Ferrante and Burke, Edmund},
     title = {{Separability prototype for automatic memes with adaptive operator selection}},
     booktitle = {IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing},
     pages = {70--77},
     year = {2014},
     themes = {behav},
     section = {conference}
   }

2. P11

   A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

   Giovanni Iacca, Ferrante Neri, Fabio Caraffini, and 1 more author

   In Springer Berlin Heidelberg, 2014

   DOI Bib

   @inproceedings{iacca2014p11,
     author = {Iacca, Giovanni and Neri, Ferrante and Caraffini, Fabio and Suganthan, Ponnuthurai Nagaratnam},
     title = {{A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms}},
     booktitle = {Springer Berlin Heidelberg},
     pages = {615--626},
     year = {2014},
     doi = {10.1007/978-3-662-45523-4_50},
     themes = {opt},
     section = {conference}
   }

2013

1. P10

   A cma-es super-fit scheme for the re-sampled inheritance search

   Fabio Caraffini, Giovanni Iacca, Ferrante Neri, and 2 more authors

   In 2013 IEEE Congress on Evolutionary Computation (CEC), 2013

   Bib

   @inproceedings{caraffini2013p10,
     author = {Caraffini, Fabio and Iacca, Giovanni and Neri, Ferrante and Picinali, L. and Mininno, E.},
     title = {{A cma-es super-fit scheme for the re-sampled inheritance search}},
     booktitle = {2013 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1123--1130},
     year = {2013},
     themes = {opt},
     section = {conference}
   }

2. P9

   Single particle algorithms for continuous optimization

   Giovanni Iacca, Fabio Caraffini, Ferrante Neri, and 1 more author

   In 2013 IEEE Congress on Evolutionary Computation (CEC), 2013

   Bib

   @inproceedings{iacca2013p9,
     author = {Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante and Mininno, E.},
     title = {{Single particle algorithms for continuous optimization}},
     booktitle = {2013 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1610--1617},
     year = {2013},
     themes = {opt},
     section = {conference}
   }

3. P8

   Super-fit multicriteria adaptive differential evolution

   Fabio Caraffini, Ferrante Neri, Jixianga Cheng, and 4 more authors

   In 2013 IEEE Congress on Evolutionary Computation (CEC), 2013

   Bib

   @inproceedings{caraffini2013p8,
     author = {Caraffini, Fabio and Neri, Ferrante and Cheng, Jixianga and Zhang, Gexianga and Picinali, Lorenzo and Iacca, Giovanni and Mininno, Ernesto},
     title = {{Super-fit multicriteria adaptive differential evolution}},
     booktitle = {2013 IEEE Congress on Evolutionary Computation (CEC)},
     pages = {1678--1685},
     year = {2013},
     themes = {opt},
     section = {conference}
   }

4. P7

   Re-sampling search: A seriously simple memetic approach with a high performance

   Fabio Caraffini, Ferrante Neri, Mario Gongora, and 1 more author

   In IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing, 2013

   Bib

   @inproceedings{caraffini2013p7,
     author = {Caraffini, Fabio and Neri, Ferrante and Gongora, Mario and Passow, Benjamin},
     title = {{Re-sampling search: A seriously simple memetic approach with a high performance}},
     booktitle = {IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing},
     pages = {52--59},
     year = {2013},
     themes = {opt},
     section = {conference}
   }

5. P6

   Micro-differential evolution with extra moves along the axes

   Fabio Caraffini, Ferrante Neri, and Ilpo Poikolainen

   In IEEE Symposium Series on Computational Intelligence, Symposium on Differential Evolution, 2013

   Bib

   @inproceedings{caraffini2013p6,
     author = {Caraffini, Fabio and Neri, Ferrante and Poikolainen, Ilpo},
     title = {{Micro-differential evolution with extra moves along the axes}},
     booktitle = {IEEE Symposium Series on Computational Intelligence, Symposium on Differential Evolution},
     pages = {46--53},
     year = {2013},
     themes = {opt},
     section = {conference}
   }

2012

1. P5

   Three variants of three stage optimal memetic exploration for handling non-separable fitness landscapes

   Fabio Caraffini, Giovanni Iacca, Ferrante Neri, and 1 more author

   In Proceedings of the UK Workshop on Computational Intelligence, 2012

   Bib HTML

   @inproceedings{caraffini2012p5,
     author = {Caraffini, Fabio and Iacca, Giovanni and Neri, Ferrante and Mininno, E.},
     title = {{Three variants of three stage optimal memetic exploration for handling non-separable fitness landscapes}},
     booktitle = {Proceedings of the UK Workshop on Computational Intelligence},
     publisher = {IEEE},
     year = {2012},
     themes = {opt, behav},
     section = {conference}
   }

2. P4

   The importance of being structured: a comparative study on multi stage memetic approaches

   Fabio Caraffini, Giovanni Iacca, Ferrante Neri, and 1 more author

   In Proceedings of the UK Workshop on Computational Intelligence, 2012

   Bib HTML

   @inproceedings{caraffini2012p4,
     author = {Caraffini, Fabio and Iacca, Giovanni and Neri, Ferrante and Mininno, Ernesto},
     title = {{The importance of being structured: a comparative study on multi stage memetic approaches}},
     booktitle = {Proceedings of the UK Workshop on Computational Intelligence},
     publisher = {IEEE},
     year = {2012},
     themes = {opt},
     section = {conference}
   }

3. P3

   Meta-lamarckian learning in three stage optimal memetic exploration

   Ferrante Neri, M. Weber, Fabio Caraffini, and 1 more author

   In Proceedings of the UK Workshop on Computational Intelligence, 2012

   Bib HTML

   @inproceedings{neri2012p3,
     author = {Neri, Ferrante and Weber, M. and Caraffini, Fabio and Poikolainen, I.},
     title = {{Meta-lamarckian learning in three stage optimal memetic exploration}},
     booktitle = {Proceedings of the UK Workshop on Computational Intelligence},
     publisher = {IEEE},
     year = {2012},
     themes = {opt},
     section = {conference}
   }

4. P2

   Handling non-separability in three stage memetic exploration

   I. Poikolainen, Fabio Caraffini, Ferrante Neri, and 1 more author

   In Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications, 2012

   Bib

   @inproceedings{poikolainen2012p2,
     author = {Poikolainen, I. and Caraffini, Fabio and Neri, Ferrante and Weber, M.},
     title = {{Handling non-separability in three stage memetic exploration}},
     booktitle = {Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications},
     pages = {195--205},
     year = {2012},
     themes = {opt, behav},
     section = {conference}
   }

5. P1

   Robot base disturbance optimization with compact differential evolution light

   Giovanni Iacca, Fabio Caraffini, Ferrante Neri, and 1 more author

   In Applications of Evolutionary Computation (EvoApplications 2012), 2012

   DOI Bib

   @inproceedings{iacca2012p1,
     author = {Iacca, Giovanni and Caraffini, Fabio and Neri, Ferrante and Mininno, E.},
     title = {{Robot base disturbance optimization with compact differential evolution light}},
     booktitle = {Applications of Evolutionary Computation (EvoApplications 2012)},
     series = {Lecture Notes in Computer Science},
     volume = {7248},
     pages = {285--294},
     year = {2012},
     doi = {10.1007/978-3-642-29178-4_29},
     themes = {opt},
     section = {conference}
   }

2022

1. C1

   Analysis of structural bias in differential evolution configurations

   Diederick Vermetten, Bas Stein, Anna V. Kononova, and 1 more author

   In Differential Evolution: From Theory to Practice, 2022

   DOI Bib

   @incollection{vermetten2022c1,
     author = {Vermetten, Diederick and van Stein, Bas and Kononova, Anna V. and Caraffini, Fabio},
     editor = {Kumar, B. Vinoth and Oliva, Diego and Suganthan, P. N.},
     title = {{Analysis of structural bias in differential evolution configurations}},
     booktitle = {Differential Evolution: From Theory to Practice},
     pages = {1--22},
     publisher = {Springer},
     year = {2022},
     doi = {10.1007/978-981-16-8082-3_1},
     themes = {opt, behav},
     section = {chapter}
   }

2023

1. E3

   Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”

   Yong-Hyuk Kim and Fabio Caraffini

   Mathematics, 2023

   DOI Bib

   @article{kim2023e3,
     author = {Kim, Yong-Hyuk and Caraffini, Fabio},
     title = {{Preface to ``Swarm and Evolutionary Computation---Bridging Theory and Practice''}},
     journal = {Mathematics},
     volume = {11},
     number = {5},
     year = {2023},
     doi = {10.3390/math11051209},
     themes = {opt},
     section = {editorial}
   }

2022

1. E2

   Special issue “Emerging Artificial Intelligence (AI) Technologies for Learning”

   Alfredo Milani, Valentino Santucci, and Fabio Caraffini

   Applied Sciences, 2022

   DOI Bib

   @article{milani2022e2,
     author = {Milani, Alfredo and Santucci, Valentino and Caraffini, Fabio},
     title = {{Special issue ``Emerging Artificial Intelligence (AI) Technologies for Learning''}},
     journal = {Applied Sciences},
     volume = {12},
     number = {17},
     year = {2022},
     doi = {10.3390/app12178819},
     themes = {society},
     section = {editorial}
   }

2. E1

   Applications of computational intelligence-based systems for societal enhancement

   Fabio Caraffini, Francisco Chiclana, Raymond Moodley, and 1 more author

   International Journal of Intelligent Systems, 2022

   DOI Bib

   @article{caraffini2022e1,
     author = {Caraffini, Fabio and Chiclana, Francisco and Moodley, Raymond and Gongora, Mario},
     title = {{Applications of computational intelligence-based systems for societal enhancement}},
     journal = {International Journal of Intelligent Systems},
     volume = {37},
     number = {4},
     year = {2022},
     doi = {10.1002/int.22862},
     pages = {2679--2682},
     themes = {society},
     section = {editorial}
   }

2021

1. B1

   Evolutionary Computation & Swarm Intelligence

   2021

   DOI Bib

   @book{caraffini2021b1,
     editor = {Caraffini, Fabio and Santucci, Valentino and Milani, Alfredo},
     title = {{Evolutionary Computation \& Swarm Intelligence}},
     publisher = {MDPI},
     year = {2021},
     doi = {10.3390/books978-3-03943-455-8},
     themes = {opt},
     section = {edited}
   }

2016

1. T

   Algorithmic issues in computational intelligence optimization: from design to implementation, from implementation to design

   Fabio Caraffini

   University of Jyväskylä, 2016

   Bib HTML

   @phdthesis{caraffini2016jyu,
     author = {Caraffini, Fabio},
     title = {{Algorithmic issues in computational intelligence optimization: from design to implementation, from implementation to design}},
     school = {University of Jyv{\"a}skyl{\"a}},
     series = {Jyv{\"a}skyl{\"a} Studies in Computing},
     number = {243},
     isbn = {978-951-39-6742-0},
     year = {2016},
     section = {thesis}
   }

2014

1. T

   Novel Memetic Computing Structures for Continuous Optimisation

   Fabio Caraffini

   De Montfort University, Oct 2014

   DOI Bib

   @phdthesis{caraffini2014dmu,
     author = {Caraffini, Fabio},
     title = {{Novel Memetic Computing Structures for Continuous Optimisation}},
     school = {De Montfort University},
     month = oct,
     year = {2014},
     doi = {10.13140/2.1.3248.5447},
     section = {thesis}
   }