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Fabio Caraffini
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2020 – today
- 2024
- [j29]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): 3-48 (2024) - [c38]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: 104-117 - [c37]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: 149-159 - [c36]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: 1838-1845 - [i16]Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden, Fabio Caraffini:
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction. CoRR abs/2402.13421 (2024) - [i15]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 abs/2404.16055 (2024) - [i14]Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca:
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. CoRR abs/2408.02451 (2024) - 2023
- [j28]James Izzard, Fabio Caraffini, Francisco Chiclana:
Towards a software tool for general meal optimisation. Appl. Intell. 53(7): 7751-7775 (2023) - [j27]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: 110043 (2023) - [j26]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: 1-32 (2023) - [j25]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: 1-26 (2023) - [c35]Antonio Agresta, Chiara Biscarini, Fabio Caraffini, Valentino Santucci:
An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. EvoApplications@EvoStar 2023: 475-490 - [c34]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 2023: 491-506 - [c33]Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, Fabio Caraffini:
An AI-Based Support System for Microgrids Energy Management. EvoApplications@EvoStar 2023: 507-518 - [c32]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: 183-191 - [c31]Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova:
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion 2023: 455-458 - [c30]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. GECCO 2023: 864-872 - [c29]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: 2337-2345 - [c28]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: 1-8 - [c27]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: 1-8 - [i13]Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova:
Deep-BIAS: Detecting Structural Bias using Explainable AI. CoRR abs/2304.01869 (2023) - [i12]Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck:
Modular Differential Evolution. CoRR abs/2304.09524 (2023) - [i11]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 abs/2305.12221 (2023) - 2022
- [j24]Fabio Caraffini, Francisco Chiclana, Raymond Moodley, Mario Gongora:
Applications of computational intelligence-based systems for societal enhancement. Int. J. Intell. Syst. 37(4): 2679-2682 (2022) - [j23]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): 2739-2757 (2022) - [j22]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. Swarm Evol. Comput. 74: 101125 (2022) - [j21]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): 1380-1393 (2022) - [c26]Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova:
Using structural bias to analyse the behaviour of modular CMA-ES. GECCO Companion 2022: 1674-1682 - [i10]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. CoRR abs/2203.03512 (2022) - [i9]Stefan Kuhn, Carlos Cobas, Agustin Barba, Simon Colreavy-Donnelly, Fabio Caraffini, Ricardo Moreira Borges:
Direct deduction of chemical class from NMR spectra. CoRR abs/2211.03173 (2022) - 2021
- [j20]Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, 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: 107381 (2021) - [j19]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: 524-540 (2021) - [j18]Anna V. Kononova, Fabio Caraffini, Thomas Bäck:
Differential evolution outside the box. Inf. Sci. 581: 587-604 (2021) - [c25]Bas van Stein, Fabio Caraffini, Anna V. Kononova:
Emergence of structural bias in differential evolution. GECCO Companion 2021: 1234-1242 - [c24]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there anisotropy in structural bias? GECCO Companion 2021: 1243-1250 - [i8]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there Anisotropy in Structural Bias? CoRR abs/2105.04480 (2021) - [i7]Bas van Stein, Fabio Caraffini, Anna V. Kononova:
Emergence of Structural Bias in Differential Evolution. CoRR abs/2105.04693 (2021) - 2020
- [j17]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access 8: 150974-150988 (2020) - [j16]Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra:
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27(4): 403-416 (2020) - [j15]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion 64: 32-49 (2020) - [j14]Giovanni Iacca, Fabio Caraffini:
Re-sampled inheritance compact optimization. Knowl. Based Syst. 208: 106416 (2020) - [c23]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: 1-7 - [c22]Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora:
Oil Palm Detection via Deep Transfer Learning. CEC 2020: 1-8 - [c21]Conor Fahy, Fabio Caraffini, Mario Gongora:
A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC 2020: 1-7 - [c20]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC 2020: 1-8 - [c19]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
An Experimental Study of Prediction Methods in Robust optimization Over Time. CEC 2020: 1-7 - [c18]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Single Solution Optimisation Methods Be Structurally Biased? CEC 2020: 1-9 - [c17]Simon Colreavy-Donnelly, Stefan Kuhn, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi, Simon Coupland:
A Neural Network for Interpolating Light-Sources. COMPSAC 2020: 1634-1640 - [c16]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) 2020: 229-242 - [i6]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR abs/2004.05380 (2020) - [i5]Anna V. Kononova, Fabio Caraffini, Thomas Bäck:
Differential evolution outside the box. CoRR abs/2004.10489 (2020)
2010 – 2019
- 2019
- [j13]Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Jenny Carter:
Application of uninorms to market basket analysis. Int. J. Intell. Syst. 34(1): 39-49 (2019) - [j12]Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis:
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Inf. Sci. 477: 186-202 (2019) - [j11]Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in differential evolution. Inf. Sci. 496: 161-179 (2019) - [j10]Fabio Caraffini, Ferrante Neri:
A study on rotation invariance in differential evolution. Swarm Evol. Comput. 50 (2019) - [c15]Giovanni Iacca, Fabio Caraffini:
Compact Optimization Algorithms with Re-Sampled Inheritance. EvoApplications 2019: 523-534 - [i4]Fabio Caraffini, Anna V. Kononova, David Corne:
Infeasibility and structural bias in Differential Evolution. CoRR abs/1901.06153 (2019) - 2018
- [c14]Fabio Caraffini, Ferrante Neri:
Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution. EvoApplications 2018: 597-614 - [i3]Giovanni Iacca, Fabio Caraffini:
Compact Optimization Algorithms with Re-sampled Inheritance. CoRR abs/1809.04343 (2018) - [i2]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Multi-Strategy Coevolving Aging Particle Optimization. CoRR abs/1810.05018 (2018) - 2017
- [c13]Fabio Caraffini, Ferrante Neri, Giovanni Iacca:
Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables. EvoApplications (1) 2017: 636-652 - 2015
- [j9]Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri:
Multicriteria adaptive differential evolution for global numerical optimization. Integr. Comput. Aided Eng. 22(2): 103-107 (2015) - [j8]Ilpo Poikolainen, Ferrante Neri, Fabio Caraffini:
Cluster-Based Population Initialization for differential evolution frameworks. Inf. Sci. 297: 216-235 (2015) - [j7]Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini:
Structural bias in population-based algorithms. Inf. Sci. 298: 468-490 (2015) - [c12]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Continuous Parameter Pools in Ensemble Differential Evolution. SSCI 2015: 1529-1536 - 2014
- [j6]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Multi-Strategy coevolving aging Particle Optimization. Int. J. Neural Syst. 24(1) (2014) - [j5]Fabio Caraffini, Ferrante Neri, Lorenzo Picinali:
An analysis on separability for Memetic Computing automatic design. Inf. Sci. 265: 1-22 (2014) - [c11]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: 615-626 - [c10]Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke:
A Separability Prototype for Automatic Memes with Adaptive Operator Selection. FOCI 2014: 70-77 - [i1]Anna V. Kononova, David W. Corne, Philippe De Wilde, Vsevolod Shneer, Fabio Caraffini:
Structural bias in population-based algorithms. CoRR abs/1408.5350 (2014) - 2013
- [j4]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Memory-saving memetic computing for path-following mobile robots. Appl. Soft Comput. 13(4): 2003-2016 (2013) - [j3]Fabio Caraffini, Ferrante Neri, Giovanni Iacca, Aran Mol:
Parallel memetic structures. Inf. Sci. 227: 60-82 (2013) - [j2]Fabio Caraffini, Ferrante Neri, Benjamin N. Passow, Giovanni Iacca:
Re-sampled inheritance search: high performance despite the simplicity. Soft Comput. 17(12): 2235-2256 (2013) - [c9]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: 1123-1130 - [c8]Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno:
Single particle algorithms for continuous optimization. IEEE Congress on Evolutionary Computation 2013: 1610-1617 - [c7]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: 1678-1685 - [c6]Fabio Caraffini, Ferrante Neri, Mario Gongora, Benjamin N. Passow:
Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing 2013: 52-59 - [c5]Fabio Caraffini, Ferrante Neri, Ilpo Poikolainen:
Micro-differential evolution with extra moves along the axes. SDE 2013: 46-53 - 2012
- [j1]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): 1056-1076 (2012) - [c4]Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno:
Robot Base Disturbance Optimization with Compact Differential Evolution Light. EvoApplications 2012: 285-294 - [c3]Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes. UKCI 2012: 1-8 - [c2]Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
The importance of being structured: A comparative study on multi stage memetic approaches. UKCI 2012: 1-8 - [c1]Ferrante Neri, Matthieu Weber, Fabio Caraffini, Ilpo Poikolainen:
Meta-Lamarckian learning in three stage optimal memetic exploration. UKCI 2012: 1-8
Coauthor Index
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last updated on 2025-01-09 13:26 CET by the dblp team
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