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

    Article • Next Research, August 2026, Elsevier

    Dr Fabio Caraffini

  2. A Multimodal Ensemble-Based Framework for Detecting Fake News Using Visual and Textual Features

    Article • Mathematics, January 2026, MDPI AG

    Orken Mamyrbayev, Dr Fabio Caraffini

  3. A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics

    Article • Applied Sciences, December 2025, MDPI AG

    Dr Fabio Caraffini

  4. A joint learning framework for fake news detection

    Article • Displays, December 2025, Elsevier

    Orken Mamyrbayev, Dr Fabio Caraffini

  5. Multi-scale Feature Fusion-based Dynamic Framework using Continual Learning to Identify Text Generated by Multiple Large Language Models

    Article • Knowledge-Based Systems, December 2025, Elsevier

    Dr Fabio Caraffini

  6. Creating Synthetic Test Data for Rail Design Tools – The Case of Linear Scheme Plans

    Article • November 2025, Springer Science + Business Media

    Dr Fabio Caraffini

  7. Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies

    Article • August 2025, Springer Science + Business Media

    Dr Fabio Caraffini

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

    Article • Applied Intelligence, August 2025, Springer Science + Business Media

    Dr Fabio Caraffini

  9. A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways

    Article • January 2025, Springer Science + Business Media

    Dr Fabio Caraffini

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

    Article • Social Sciences & Humanities Open, January 2025, Elsevier

    Dr Fabio Caraffini

  11. Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach

    Article • Mathematics, August 2024, MDPI AG

    Dr Fabio Caraffini

  12. An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms

    Article • July 2024, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini, Anil Yaman

  13. Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit

    Article • Applied Sciences, July 2024, MDPI AG

    Dr Fabio Caraffini

  14. Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations

    Article • International Journal of Intelligent Systems, January 2024, Wiley

    Dr Fabio Caraffini

  15. Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net

    Article • January 2024, Springer Science + Business Media

    Dr Fabio Caraffini

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

    Article • Evolutionary Computation, January 2024, The MIT Press

    Dr Fabio Caraffini

  17. Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks

    Article • January 2024, Springer Science + Business Media

    Dr Fabio Caraffini

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

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  19. Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  20. Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite

    Article • July 2023, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini

  21. Deep BIAS: Detecting Structural Bias using Explainable AI

    Article • July 2023, ACM (Association for Computing Machinery)

    Dr. Niki van Stein, Dr Fabio Caraffini

  22. Modular Differential Evolution

    Article • July 2023, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini

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

    Article • March 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

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

    Article • Mathematics, March 2023, MDPI AG

    Dr Fabio Caraffini

  25. An evolutionary intelligent control system for a flexible joints robot

    Article • Applied Soft Computing, March 2023, Elsevier

    Dr Fabio Caraffini

  26. Direct deduction of chemical class from NMR spectra

    Article • Journal of Magnetic Resonance, March 2023, Elsevier

    Dr Fabio Caraffini

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

    Article • International Journal of Intelligent Systems, January 2023, Wiley

    Dr Fabio Caraffini

  28. Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources

    Article • International Journal of Intelligent Systems, January 2023, Wiley

    Dr Fabio Caraffini

  29. A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops

    Article • January 2023, Springer Science + Business Media

    Dr Fabio Caraffini

  30. An AI-Based Support System for Microgrids Energy Management

    Article • January 2023, Springer Science + Business Media

    Dr Fabio Caraffini

  31. An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length

    Article • January 2023, Springer Science + Business Media

    Dr Fabio Caraffini

  32. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain

    Article • IEEE Transactions on Evolutionary Computation, December 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Niki van Stein, Dr Fabio Caraffini

  33. A new moving peaks benchmark with attractors for dynamic evolutionary algorithms

    Article • Swarm and Evolutionary Computation, October 2022, Elsevier

    Dr Fabio Caraffini

  34. An Empirical Investigation of Multinationality and Stock Price Crash Risk for MNCs in China

    Article • Mathematics, September 2022, MDPI AG

    Dr Fabio Caraffini

  35. Special Issue “Emerging Artificial Intelligence (AI) Technologies for Learning”

    Article • Applied Sciences, September 2022, MDPI AG

    Dr Fabio Caraffini

  36. Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System

    Article • Applied Sciences, August 2022, MDPI AG

    Dr Fabio Caraffini

  37. Towards a software tool for general meal optimisation

    Article • Applied Intelligence, July 2022, Springer Science + Business Media

    Dr Fabio Caraffini

  38. Analysis of how bias in search algorithms can affect the search behaviour

    Article • July 2022, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini, Dr. Niki van Stein

  39. A Proposed VR Platform for Supporting Blended Learning Post COVID-19

    Article • Education Sciences, June 2022, MDPI AG

    Dr Fabio Caraffini

  40. Regression Analysis of Macroeconomic Conditions and Capital Structures of Publicly Listed British Firms

    Article • Mathematics, March 2022, MDPI AG

    Dr Fabio Caraffini

  41. Leveraging Immersive Technologies to Support Blended Learning Post Covid-19

    Article • March 2022, MDPI AG

    Dr Fabio Caraffini

  42. Applications of computational intelligence‐based systems for societal enhancement

    Article • International Journal of Intelligent Systems, February 2022, Wiley

    Dr Fabio Caraffini

  43. Analysis of Structural Bias in Differential Evolution Configurations

    Article • January 2022, Springer Science + Business Media

    Dr. Niki van Stein, Dr Fabio Caraffini

  44. Differential evolution outside the box

    Article • Information Sciences, December 2021, Elsevier

    Dr Fabio Caraffini

  45. Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis

    Article • Applied Sciences, November 2021, MDPI AG

    Dr Fabio Caraffini

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

    Article • Information Sciences, November 2021, Elsevier

    Dr Fabio Caraffini

  47. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain

    Article • September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Niki van Stein, Dr Fabio Caraffini

  48. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain

    Article • September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Niki van Stein, Dr Fabio Caraffini

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

    Article • Applied Soft Computing, August 2021, Elsevier

    Dr Fabio Caraffini

  50. Emergence of structural bias in differential evolution

    Article • July 2021, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini, Dr. Niki van Stein

  51. Is there anisotropy in structural bias?

    Article • July 2021, ACM (Association for Computing Machinery)

    Dr Fabio Caraffini

  52. Using self‐organising maps to predict and contain natural disasters and pandemics

    Article • International Journal of Intelligent Systems, May 2021, Wiley

    Dr Fabio Caraffini

  53. Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images

    Article • Mathematics, April 2021, MDPI AG

    Dr Fabio Caraffini

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

    Article • Information Fusion, December 2020, Elsevier

    Dr Fabio Caraffini

  55. Re-sampled inheritance compact optimization

    Article • Knowledge-Based Systems, November 2020, Elsevier

    Dr Fabio Caraffini

  56. Shallow buried improvised explosive device detection via convolutional neural networks

    Article • Integrated Computer-Aided Engineering, July 2020, IOS Press

    Dr Fabio Caraffini

  57. A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  58. A Neural Network for Interpolating Light-Sources

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  59. An Experimental Study of Prediction Methods in Robust optimization Over Time

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  60. Can Single Solution Optimisation Methods Be Structurally Biased?

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  61. Identifying Parkinson’s Disease Through the Classification of Audio Recording Data

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  62. Oil Palm Detection via Deep Transfer Learning

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  63. Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  64. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms

    Article • Mathematics, May 2020, MDPI AG

    Dr Fabio Caraffini

  65. A product-centric data mining algorithm for targeted promotions

    Article • Journal of Retailing and Consumer Services, May 2020, Elsevier

    Dr Fabio Caraffini

  66. Using Data Mining in Educational Administration: A Case Study on Improving School Attendance

    Article • Applied Sciences, April 2020, MDPI AG

    Dr Fabio Caraffini

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

    Article • Mathematics, March 2020, MDPI AG

    Dr Fabio Caraffini

  68. Can Single Solution Optimisation Methods Be Structurally Biased?

    Article • February 2020, MDPI AG

    Dr Fabio Caraffini

  69. A Robust Decision-Making Framework Based on Collaborative Agents

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  70. Can Compact Optimisation Algorithms Be Structurally Biased?

    Article • January 2020, Springer Science + Business Media

    Dr Fabio Caraffini

  71. A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation

    Article • Mathematics, December 2019, MDPI AG

    Dr Fabio Caraffini

  72. An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis

    Article • Mathematics, November 2019, MDPI AG

    Dr Fabio Caraffini

  73. A study on rotation invariance in differential evolution

    Article • Swarm and Evolutionary Computation, November 2019, Elsevier

    Dr Fabio Caraffini

  74. Infeasibility and structural bias in differential evolution

    Article • Information Sciences, September 2019, Elsevier

    Dr Fabio Caraffini

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

    Article • June 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  76. Infeasibility and Structural Bias in Differential Evolution

    Article • April 2019, MDPI AG

    Dr Fabio Caraffini

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

    Article • Information Sciences, March 2019, Elsevier

    Dr Fabio Caraffini

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

    Article • January 2019, American Institute of Physics

    Dr Fabio Caraffini

  79. Compact Optimization Algorithms with Re-Sampled Inheritance

    Article • January 2019, Springer Science + Business Media

    Dr Fabio Caraffini

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

    Article • January 2019, American Institute of Physics

    Dr Fabio Caraffini

  81. Structural bias in differential evolution: A preliminary study

    Article • January 2019, American Institute of Physics

    Dr Fabio Caraffini

  82. Application of uninorms to market basket analysis

    Article • International Journal of Intelligent Systems, October 2018, Wiley

    Dr Fabio Caraffini

  83. Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution

    Article • January 2018, Springer Science + Business Media

    Dr Fabio Caraffini

  84. Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables

    Article • January 2017, Springer Science + Business Media

    Dr Fabio Caraffini

  85. Continuous Parameter Pools in Ensemble Differential Evolution

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  86. Cluster-Based Population Initialization for differential evolution frameworks

    Article • Information Sciences, March 2015, Elsevier

    Dr Fabio Caraffini

  87. Structural bias in population-based algorithms

    Article • Information Sciences, March 2015, Elsevier

    Dr Fabio Caraffini

  88. Multicriteria adaptive differential evolution for global numerical optimization

    Article • Integrated Computer-Aided Engineering, February 2015, IOS Press

    Dr Fabio Caraffini

  89. A Separability Prototype for Automatic Memes with Adaptive Operator Selection

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  90. An analysis on separability for Memetic Computing automatic design

    Article • Information Sciences, May 2014, Elsevier

    Dr Fabio Caraffini

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

    Article • January 2014, Springer Science + Business Media

    Dr Fabio Caraffini

  92. MULTI-STRATEGY COEVOLVING AGING PARTICLE OPTIMIZATION

    Article • International Journal of Neural Systems, December 2013, World Scientific Pub Co Pte Lt

    Dr Fabio Caraffini

  93. Re-sampled inheritance search: high performance despite the simplicity

    Article • Soft Computing, August 2013, Springer Science + Business Media

    Dr Fabio Caraffini

  94. A CMA-ES super-fit scheme for the re-sampled inheritance search

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  95. Single particle algorithms for continuous optimization

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  96. Super-fit Multicriteria Adaptive Differential Evolution

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  97. Memory-saving memetic computing for path-following mobile robots

    Article • Applied Soft Computing, April 2013, Elsevier

    Dr Fabio Caraffini

  98. Micro-differential evolution with extra moves along the axes

    Article • April 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  99. Parallel memetic structures

    Article • Information Sciences, April 2013, Elsevier

    Dr Fabio Caraffini

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

    Article • April 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  101. Focusing the search: a progressively shrinking memetic computing framework

    Article • International Journal of Innovative Computing and Applications, January 2013, Inderscience Publishers

    Dr Fabio Caraffini

  102. Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead

    Article • Journal of Computer Science and Technology, September 2012, Springer Science + Business Media

    Dr Fabio Caraffini

  103. Meta-Lamarckian learning in three stage optimal memetic exploration

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  104. The importance of being structured: A comparative study on multi stage memetic approaches

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  105. Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fabio Caraffini

  106. Robot Base Disturbance Optimization with Compact Differential Evolution Light

    Article • January 2012, Springer Science + Business Media

    Dr Fabio Caraffini