Fabio Caraffini

94 papers A 1B 14C 2Misc 1Journal 52Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Temporal Frames Projection for Dynamic Processes Fusion in Fluorescence Microscopy. CoRR Hassan Eshkiki, Sarah Costa, Mostafa Mohammadpour, Farinaz Tanhaei, Christopher H. George, Fabio Caraffini
2026	J	`jnl`	Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models. Knowl. Based Syst. Muhammad Sohail, Hongying Zan, Muhammad Abdullah, Fabio Caraffini, Arifa Javed, Hassan Eshkiki
2025	—	`conf`	A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. EvoApplications (2) Raziyeh Moghaddas, Fabio Caraffini, Monika Seisenberger
2025	J	`jnl`	A joint learning framework for fake news detection. Displays Muhammad Abdullah, Hongying Zan, Arifa Javed, Orken Mamyrbayev, Fabio Caraffini, Hassan Eshkiki
2025	—	`conf`	Creating Synthetic Test Data for Rail Design Tools - The Case of Linear Scheme Plans. RSSRail Marek T. Jezinski, Markus Roggenbach, Monika Seisenberger, Victor Cai, Fabio Caraffini
2025	—	`conf`	Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies. AIiH (2) Sarah Costa, Hassan Eshkiki, Fabio Caraffini, Christopher H. George
2025	J	`jnl`	Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging. Appl. Intell. Arslan Akbar, Suya Han, Naveed Urr Rehman, Kanwal Ahmed, Hassan Eshkiki, Fabio Caraffini
2025	J	`jnl`	Named Entity Recognition for the Kurdish Sorani Language: Dataset Creation and Comparative Analysis. CoRR Bakhtawar Abdalla, Rebwar Mala Nabi, Hassan Eshkiki, Fabio Caraffini
2025	J	`jnl`	Temporal Optimisation of Satellite Image-Based Crop Mapping: A Comparison of Deep Time Series and Semi-Supervised Time Warping Strategies. IET Comput. Vis. Rosie Finnegan, Joseph Metcalfe, Sara Sharifzadeh, Fabio Caraffini, Xianghua Xie, Alberto Hornero, Nicholas W. Synes
2024	—	`conf`	An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. GECCO Companion Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca
2024	J	`jnl`	An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. CoRR Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca
2024	J	`jnl`	Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. CoRR Juan F. Pérez-Pérez, Pablo Isaza Gómez, Isis Bonet, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller
2024	J	`jnl`	Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction. CoRR Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden, Fabio Caraffini
2024	—	`conf`	Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net. AIiH (2) Abraham Etinosa Enobun, Uche Henry Anakwenze, Aboozar Taherkhani, Zacharias A. Anastassi, Fabio Caraffini, Hassan Eshkiki
2024	J	`jnl`	The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evol. Comput. Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2024	—	`conf`	Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks. AIiH (2) Fabio Caraffini, Hassan Eshkiki, Mostafa Mohammadpour, Nikol Sullo, Christopher H. George
2024	J	`jnl`	Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations. Int. J. Intell. Syst. Juan F. Pérez-Pérez, Isis Bonet, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller
2023	—	`conf`	A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa
2023	—	`conf`	An AI-Based Support System for Microgrids Energy Management. EvoApplications@EvoStar Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, Fabio Caraffini
2023	—	`conf`	An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. EvoApplications@EvoStar Antonio Agresta, Chiara Biscarini, Fabio Caraffini, Valentino Santucci
2023	J	`jnl`	An evolutionary intelligent control system for a flexible joints robot. Appl. Soft Comput. Alejandro Peña, Juan C. Tejada, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora
2023	—	`conf`	Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023	J	`jnl`	Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
2023	J	`jnl`	Driving in the Rain: A Survey toward Visibility Estimation through Windshields. Int. J. Intell. Syst. Jarrad Neil Morden, Fabio Caraffini, Ioannis Kypraios, Ali H. Al-Bayatti, Richard Smith
2023	C	`conf`	Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments. ISTAS Lilian Genaro Motti Ader, Katie Crowley, Stefan Kuhn, Fabio Caraffini, Turgay Altindag, Simon Colreavy-Donnelly
2023	C	`conf`	Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. ISTAS Juan F. Pérez-Pérez, Isis Bonet Cruz, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller
2023	Misc	`conf`	Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables. FRUCT Tan Jo Yen, Sivakumar Vengusamy, Fabio Caraffini, Stefan Kuhn, Simon Colreavy-Donnelly
2023	J	`jnl`	Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources. Int. J. Intell. Syst. Souheila Khalfi, Fabio Caraffini, Giovanni Iacca
2023	A	`conf`	Modular Differential Evolution. GECCO Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023	J	`jnl`	Modular Differential Evolution. CoRR Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023	—	`conf`	Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. GECCO Companion Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
2023	J	`jnl`	Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. CoRR Madalina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini, Daniela Zaharie
2023	J	`jnl`	Towards a software tool for general meal optimisation. Appl. Intell. James Izzard, Fabio Caraffini, Francisco Chiclana
2022	J	`jnl`	A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. Swarm Evol. Comput. Matthew Fox, Shengxiang Yang, Fabio Caraffini
2022	J	`jnl`	Applications of computational intelligence-based systems for societal enhancement. Int. J. Intell. Syst. Fabio Caraffini, Francisco Chiclana, Raymond Moodley, Mario Gongora
2022	J	`jnl`	BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. IEEE Trans. Evol. Comput. Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro L. Minku, Anna V. Kononova
2022	J	`jnl`	Direct deduction of chemical class from NMR spectra. CoRR Stefan Kuhn, Carlos Cobas, Agustin Barba, Simon Colreavy-Donnelly, Fabio Caraffini, Ricardo Moreira Borges
2022	J	`jnl`	The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond. CoRR Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie
2022	J	`jnl`	Using self-organising maps to predict and contain natural disasters and pandemics. Int. J. Intell. Syst. Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Mario Gongora
2022	—	`conf`	Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova
2021	J	`jnl`	Differential evolution outside the box. Inf. Sci. Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2021	J	`jnl`	Emergence of Structural Bias in Differential Evolution. CoRR Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021	—	`conf`	Emergence of structural bias in differential evolution. GECCO Companion Bas van Stein, Fabio Caraffini, Anna V. Kononova
2021	J	`jnl`	Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. Appl. Soft Comput. Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales
2021	J	`jnl`	Is there Anisotropy in Structural Bias? CoRR Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021	—	`conf`	Is there anisotropy in structural bias? GECCO Companion Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021	J	`jnl`	SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security. Inf. Sci. Stuart O'Connor, Salim Hasshu, James Bielby, Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Richard Smith
2020	B	`conf`	A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC Conor Fahy, Fabio Caraffini, Mario Gongora
2020	B	`conf`	A Neural Network for Interpolating Light-Sources. COMPSAC Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi, Simon Coupland
2020	J	`jnl`	A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	B	`conf`	An Experimental Study of Prediction Methods in Robust optimization Over Time. CEC Matthew Fox, Shengxiang Yang, Fabio Caraffini
2020	—	`conf`	Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020	B	`conf`	Can Single Solution Optimisation Methods Be Structurally Biased? CEC Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020	J	`jnl`	Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	J	`jnl`	Differential evolution outside the box. CoRR Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2020	B	`conf`	Identifying Parkinson's Disease Through the Classification of Audio Recording Data. CEC James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi
2020	B	`conf`	Oil Palm Detection via Deep Transfer Learning. CEC Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora
2020	J	`jnl`	Re-sampled inheritance compact optimization. Knowl. Based Syst. Giovanni Iacca, Fabio Caraffini
2020	J	`jnl`	Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra
2020	B	`conf`	Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	J	`jnl`	Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2019	J	`jnl`	A study on rotation invariance in differential evolution. Swarm Evol. Comput. Fabio Caraffini, Ferrante Neri
2019	J	`jnl`	Application of uninorms to market basket analysis. Int. J. Intell. Syst. Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Jenny Carter
2019	B	`conf`	Compact Optimization Algorithms with Re-Sampled Inheritance. EvoApplications Giovanni Iacca, Fabio Caraffini
2019	J	`jnl`	HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Inf. Sci. Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis
2019	J	`jnl`	Infeasibility and structural bias in Differential Evolution. CoRR Fabio Caraffini, Anna V. Kononova, David Corne
2019	J	`jnl`	Infeasibility and structural bias in differential evolution. Inf. Sci. Fabio Caraffini, Anna V. Kononova, David Corne
2018	J	`jnl`	Compact Optimization Algorithms with Re-sampled Inheritance. CoRR Giovanni Iacca, Fabio Caraffini
2018	J	`jnl`	Multi-Strategy Coevolving Aging Particle Optimization. CoRR Giovanni Iacca, Fabio Caraffini, Ferrante Neri
2018	B	`conf`	Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution. EvoApplications Fabio Caraffini, Ferrante Neri
2017	—	`conf`	Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables. EvoApplications (1) Fabio Caraffini, Ferrante Neri, Giovanni Iacca
2016	—	`—`	Algorithmic issues in computational intelligence optimization: from design to implementation, from implementation to design. Fabio Caraffini
2015	J	`jnl`	Cluster-Based Population Initialization for differential evolution frameworks. Inf. Sci. Ilpo Poikolainen, Ferrante Neri, Fabio Caraffini
2015	—	`conf`	Continuous Parameter Pools in Ensemble Differential Evolution. SSCI Giovanni Iacca, Fabio Caraffini, Ferrante Neri
2015	J	`jnl`	Multicriteria adaptive differential evolution for global numerical optimization. Integr. Comput. Aided Eng. Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri
2015	J	`jnl`	Structural bias in population-based algorithms. Inf. Sci. Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
2014	B	`conf`	A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms. EvoApplications Giovanni Iacca, Ferrante Neri, Fabio Caraffini, Ponnuthurai Nagaratnam Suganthan
2014	—	`conf`	A Separability Prototype for Automatic Memes with Adaptive Operator Selection. FOCI Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke
2014	J	`jnl`	An analysis on separability for Memetic Computing automatic design. Inf. Sci. Fabio Caraffini, Ferrante Neri, Lorenzo Picinali
2014	J	`jnl`	Multi-Strategy coevolving aging Particle Optimization. Int. J. Neural Syst. Giovanni Iacca, Fabio Caraffini, Ferrante Neri
2014	J	`jnl`	Structural bias in population-based algorithms. CoRR Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini
2013	B	`conf`	A CMA-ES super-fit scheme for the re-sampled inheritance search. IEEE Congress on Evolutionary Computation Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Lorenzo Picinali, Ernesto Mininno
2013	J	`jnl`	Memory-saving memetic computing for path-following mobile robots. Appl. Soft Comput. Giovanni Iacca, Fabio Caraffini, Ferrante Neri
2013	—	`conf`	Micro-differential evolution with extra moves along the axes. SDE Fabio Caraffini, Ferrante Neri, Ilpo Poikolainen
2013	J	`jnl`	Parallel memetic structures. Inf. Sci. Fabio Caraffini, Ferrante Neri, Giovanni Iacca, Aran Mol
2013	J	`jnl`	Re-sampled inheritance search: high performance despite the simplicity. Soft Comput. Fabio Caraffini, Ferrante Neri, Benjamin N. Passow, Giovanni Iacca
2013	—	`conf`	Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing Fabio Caraffini, Ferrante Neri, Mario Gongora, Benjamin N. Passow
2013	B	`conf`	Single particle algorithms for continuous optimization. IEEE Congress on Evolutionary Computation Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno
2013	B	`conf`	Super-fit Multicriteria Adaptive Differential Evolution. IEEE Congress on Evolutionary Computation Fabio Caraffini, Ferrante Neri, Jixiang Cheng, Gexiang Zhang, Lorenzo Picinali, Giovanni Iacca, Ernesto Mininno
2012	J	`jnl`	Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead. J. Comput. Sci. Technol. Giovanni Iacca, Fabio Caraffini, Ferrante Neri
2012	—	`conf`	Meta-Lamarckian learning in three stage optimal memetic exploration. UKCI Ferrante Neri, Matthieu Weber, Fabio Caraffini, Ilpo Poikolainen
2012	B	`conf`	Robot Base Disturbance Optimization with Compact Differential Evolution Light. EvoApplications Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno
2012	—	`conf`	The importance of being structured: A comparative study on multi stage memetic approaches. UKCI Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno
2012	—	`conf`	Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes. UKCI Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno