Fabio Caraffini

Publications

• A product-centric data mining algorithm for targeted promotions
• Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients
• Collaborative methodology for enhancing sustainability in rural communities and the use of land
• A Neural Network for Interpolating Light-Sources
• Data & Code for "Living through Pandemics - Using Protective Cordons to Enhance Continuity"
• Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection –Extended Results–
• Data & Code for "Living through Pandemics - Using Protective Cordons to Enhance Continuity"
• Oil Palm Detection via Deep Transfer Learning (collection)
• Source Code - A Robust Decision-Making Framework Based on Collaborative Agents
• Using Data Mining in Educational Administration: A Case Study on Improving School Attendance
• Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis
• Compact Optimization Algorithms with Re-Sampled Inheritance
• A comparison of three differential evolution strategies in terms of early convergence with different population sizes
• CoD2M-MAPS Source Code
• Improvised Landmine facsimiles
• The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms
• Artificial Intelligence for Data Analysis and Process Optimisation
• Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection –Extended Results–
• Ground penetrating radar dataset
• Collecting multispectral aerial imagery data
• Ground penetrating radar dataset
• Collecting multispectral aerial imagery data
• Can Compact Optimisation Algorithms Be Structurally Biased?
• HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain
• A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation
• A Robust Decision-Making Framework Based on Collaborative Agents
• A study on rotation invariance in differential evolution
• A Proposed VR Platform for Supporting Blended Learning Post COVID-19
• Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
• Analysis of Structural Bias in Differential Evolution Configurations
• BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
• BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
• Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
• Application of uninorms to market basket analysis
• Infeasibility and structural bias in differential evolution
• NIR Dataset for Palm Unit Identification
• Collecting multispectral aerial imagery data
• Collaborative methodology for enhancing sustainability in rural communities and the use of land
• CoD2M-MAPS Source Code
• Intelligent system to improve the sustainability of oil palm crops through the construction of forecasting maps
• BIAS: A Toolbox for BenchmarkingStructural Bias in the Continuous Domain -- Tests Statistics and Rejections
• BIAS: A Toolbox for BenchmarkingStructural Bias in the Continuous Domain -- Tests Statistics and Rejections
• Regression Analysis of Macroeconomic Conditions and Capital Structures of Publicly Listed British Firms
• Applications of computational intelligence‐based systems for societal enhancement
• An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
• Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
• Re-sampled inheritance compact optimization
• Shallow buried improvised explosive device detection via convolutional neural networks
• Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images
• Using self‐organising maps to predict and contain natural disasters and pandemics
• Structural bias in population-based algorithms
• A differential evolution framework with ensemble of parameters and strategies and pool of local search algorithms
• Handling non-separability in Three Stage Optimal Memetic Exploration
• Micro-differential evolution with extra moves along the axes
• Parallel memetic structures
• A CMA-ES super-fit scheme for the re-sampled inheritance search
• Re-sampled inheritance search: High performance despite the simplicity
• Cluster-Based Population Initialization for differential evolution frameworks
• Compact differential evolution light: High performance despite limited memory requirement and modest computational overhead
• Meta-Lamarckian learning in three stage optimal memetic exploration
• Single particle algorithms for continuous optimization
• Super-fit multicriteria adaptive differential evolution
• A Separability Prototype for Automatic Memes with Adaptive Operator Selection
• Memory-saving memetic computing for path-following mobile robots
• Robot base disturbance optimization with compact differential evolution light
• An analysis on separability for Memetic Computing automatic design
• Multicriteria adaptive differential evolution for global numerical optimization
• Continuous parameter pools in ensemble differential evolution
• Three variants of three stage optimal memetic exploration for handling non-separable fitness landscapes
• Focusing the search: A progressively shrinking memetic computing framework
• The importance of being structured: A comparative study on multi stage memetic approaches
• Re-sampling search: A seriously simple memetic approach with a high performance
• Validation of convolutional layers in deep learning models to identify patterns in multispectral images: Identification of palm units,Validación de capas convolucionales en modelos deep learning para la identificación de patrones en imágenes multiespectrales: Identificación de unidades de cultivo de palma
• Multi-strategy coevolving aging particle optimization
• Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution
• Large scale problems in practice: The effect of dimensionality on the interaction among variables
• Kick-starting our GCRF project!
• Kick-starting our GCRF project!
• Multi-agent robotic system dataset
• Infrared images dataset
• Stitched images & masks - August 2017
• Visible spectrum (RGB) images dataset
• Thermal sensor dataset
• Ultraviolet images datatset
• Infrared images dataset
• Ultraviolet images datatset
• Multi-agent perception system dataset
• Thermal images dataset
• Stitched images & masks - August 2017
• Thermal sensor dataset
• Multi-Agent Perception System (MAPS)
• Improvised Landmine facsimiles
• Structural bias in differential evolution: A preliminary study
• Multi-agent robotic system dataset
• Visible spectrum (RGB) images dataset
• Multi-Agent Perception System (MAPS)
• A New Moving Peaks Benchmark with Attractors for Dynamic Evolutionary Algorithms
• Towards a software tool for general meal optimisation
• Differential evolution outside the box
• SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security
• Can Single Solution Optimisation Methods Be Structurally Biased?
• Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
• A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations
• Oil Palm Detection via Deep Transfer Learning
• An Experimental Study of Prediction Methods in Robust Optimization Over Time
• Identifying Parkinson's Disease Through the Classification of Audio Recording Data
• Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System
• Leveraging Immersive Technologies to Support Blended Learning Post Covid-19
• Infeasibility and Structural Bias in Differential Evolution
• Validation of convolutional layers in deep learning models to identify patterns in multispectral images Identification of palm units
• Special Issue “Emerging Artificial Intelligence (AI) Technologies for Learning”
• An Empirical Investigation of Multinationality and Stock Price Crash Risk for MNCs in China
• The Importance of Being Constrained - Dataset
• The Importance of Being Constrained - Figures
• The Importance of Being Constrained - Figures
• Serological surveillance of healthcare workers to evaluate natural infection- and vaccine-derived immunity to SARS-CoV-2 during an outbreak in Dili, Timor-Leste
• A FT-NIR spectroscopy methodology to estimate firing distance based on the direct analysis of the bullet impact surface
• Density and Viscosity of Binary Systems Containing (Linseed or Corn) Oil, (Linseed or Corn) Biodiesel and Diesel
• Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”
• Deep-BIAS v1.0.0
• Deep-BIAS v1.0.0
• A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops
• An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length
• An AI-Based Support System for Microgrids Energy Management
• An evolutionary intelligent control system for a flexible joints robot
• An Evolutionary Intelligent Control System for a Flexible Joints Robot
• The importance of being constrained: Dealing with infeasible solutions in Differential Evolution and beyond
• Emergence of structural bias in differential evolution
• Is there anisotropy in structural bias?
• Preface
• Using structural bias to analyse the behaviour of modular CMA-ES
• Emergence of structural bias in differential evolution
• Data-Driven Design for Anomaly Detection in Network Access Control Systems
• Is there anisotropy in structural bias?
• DIRECT DEDUCTION OF CHEMICAL CLASS FROM NMR SPECTRA
• Direct deduction of chemical class from NMR spectra
• DEEP-BIAS: DETECTING STRUCTURAL BIAS USING EXPLAINABLE AI
• Modular Differential Evolution
• Compact optimization algorithms with re-sampled inheritance
• Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
• Deep BIAS: Detecting Structural Bias using Explainable AI
• The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond
• Emergence of Structural Bias in Differential Evolution
• Is there Anisotropy in Structural Bias?
• facaraff/SOS
• Infeasibility and structural bias in Differential Evolution
• Multi-Strategy Coevolving Aging Particle Optimization
• Compact Optimization Algorithms with Re-sampled Inheritance
• Driving in the Rain: A Survey toward Visibility Estimation through Windshields
• Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources
• Modular Differential Evolution - Figures
• Modular Differential Evolution - Figures
• Deep-BIAS: Detecting Structural Bias using Explainable AI
• Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments
• The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond
• Forecasting climate transition regulatory and market risk variables with machine learning
• Supporting material for "Assessing the Climate Transition Value at Risk in the Colombian Food Sector".
• Supporting material for "Assessing the Climate Transition Value at Risk in the Colombian Food Sector".
• Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit
• Hybrid summarization of medical records for predicting length of stay in the intensive care unit
• Hybrid summarization of medical records for predicting length of stay in the intensive care unit
• An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
• Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
• Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net
• Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach
• Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations
• AgaCKNER: First Kurdish Sorani Named Entity Recognition Dataset
• AgaCKNER: First Kurdish Sorani Named Entity Recognition Dataset
• A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways