Fabio Caraffini

Fabio Caraffini

De Montfort University

H-index: 24

Europe-United Kingdom

About Fabio Caraffini

Fabio Caraffini, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at De Montfort University, specializes in the field of Optimisation, Memetic Computing, Differential Evolution, Evolutionary Computation, Computational.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach

The importance of being constrained: Dealing with infeasible solutions in differential evolution and beyond

Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction

Towards a software tool for general meal optimisation

Modular differential evolution

Driving in the Rain: A Survey toward Visibility Estimation through Windshields

Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables

Data-Driven Design for Anomaly Detection in Network Access Control Systems

Fabio Caraffini Information

University

Position

___

Citations(all)

1748

Citations(since 2020)

1287

Cited By

970

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

46

i10Index(since 2020)

42

Email

University Profile Page

De Montfort University

Google Scholar

View Google Scholar Profile

Fabio Caraffini Skills & Research Interests

Optimisation

Memetic Computing

Differential Evolution

Evolutionary Computation

Computational

Top articles of Fabio Caraffini

Title

Journal

Author(s)

Publication Date

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach

arXiv preprint arXiv:2404.16055

Juan F Pérez-Pérez

Pablo Isaza Gómez

Isis Bonet

María Solange Sánchez-Pinzón

Fabio Caraffini

...

2024/4/13

The importance of being constrained: Dealing with infeasible solutions in differential evolution and beyond

Evolutionary Computation

Anna V. Kononova

Diederick Vermetten

Fabio Caraffini

Madalina-A. Mitran

Daniela Zaharie

2023/5/15

Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction

arXiv preprint arXiv:2402.13421

Adebamigbe Fasanmade

Ali H Al-Bayatti

Jarrad Neil Morden

Fabio Caraffini

2024/2/20

Towards a software tool for general meal optimisation

Applied Intelligence

James Izzard

Fabio Caraffini

Francisco Chiclana

2023/4

Modular differential evolution

Diederick Vermetten

Fabio Caraffini

Anna V Kononova

Thomas Bäck

2023/7/15

Driving in the Rain: A Survey toward Visibility Estimation through Windshields

International Journal of Intelligent Systems

Jarrad Neil Morden

Fabio Caraffini

Ioannis Kypraios

Ali H Al-Bayatti

Richard Smith

2023/1/1

Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables

Tan Jo Yen

Sivakumar Vengusamy

Fabio Caraffini

Stefan Kuhn

Simon Colreavy-Donnelly

2023/11/15

Data-Driven Design for Anomaly Detection in Network Access Control Systems

Musa Abubakar Muhammad

Fabio Caraffini

Adebamigbe Fasanmade

Olabayo Ishola

Kabiru Mohammed

...

2023/3/7

Deep bias: Detecting structural bias using explainable ai

Bas Van Stein

Diederick Vermetten

Fabio Caraffini

Anna V Kononova

2023/7/15

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

Souheila Khalfi

Fabio Caraffini

Giovanni Iacca

2023/11/4

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

Yong-Hyuk Kim

Fabio Caraffini

2023/3/1

An AI-Based Support System for Microgrids Energy Management

Alejandro Puerta

Santiago Horacio Hoyos

Isis Bonet

Fabio Caraffini

2023/4/9

Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning

Juan F Pérez-Pérez

Isis Bonet Cruz

María Solange Sánchez-Pinzón

Fabio Caraffini

Christian Lochmuller

2023/9/13

An intelligent optimised estimation of the hydraulic jump roller length

Antonio Agresta

Chiara Biscarini

Fabio Caraffini

Valentino Santucci

2023/4/9

An evolutionary intelligent control system for a flexible joints robot

Applied Soft Computing

Alejandro Pena

Juan C Tejada

Juan David Gonzalez-Ruiz

Lina María Sepúlveda-Cano

Francisco Chiclana

...

2023/3/1

Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments

Lilian G Motti Ader

Katie Crowley

Stefan Kuhn

Fabio Caraffini

Turgay Altındağ

...

2023/9/13

A multispectral image classification framework for estimating the operational risk of lethal wilt in oil palm crops

Alejandro Peña

Alejandro Puerta

Isis Bonet

Fabio Caraffini

Mario Gongora

...

2023/4/9

Direct deduction of chemical class from NMR spectra

Journal of Magnetic Resonance

Stefan Kuhn

Carlos Cobas

Agustin Barba

Simon Colreavy-Donnelly

Fabio Caraffini

...

2023/3/1

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

Mădălina-Andreea Mitran

Anna Kononova

Fabio Caraffini

Daniela Zaharie

2023/7/15

Regression Analysis of Macroeconomic Conditions and Capital Structures of Publicly Listed British Firm

Mathematics

LARRY SU

Elmina Homapour

Fabio Caraffini

Francisco Chiciana

2022/3/31

See List of Professors in Fabio Caraffini University(De Montfort University)

Co-Authors

H-index: 81
Francisco Chiclana

Francisco Chiclana

De Montfort University

H-index: 66
Thomas Bäck

Thomas Bäck

Universiteit Leiden

H-index: 57
David Corne

David Corne

Heriot-Watt University

H-index: 29
Alfredo Milani

Alfredo Milani

Università degli Studi di Perugia

H-index: 26
Giovanni Iacca

Giovanni Iacca

Università degli Studi di Trento

H-index: 22
Lorenzo Picinali

Lorenzo Picinali

Imperial College London

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