• Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms
  • A Study on Multi-Objective Optimization of Epistatic Binary Problems Using Q-learning
  • Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters
  • Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites
  • A Genetic Algorithm for Marine Spatial Planning with Minimized Conflict Between Planned Regions
  • Comparison of Different Surrogate Models for the JADE Algorithm
  • Equidistant Reorder Operator for Cartesian Genetic Programming
  • Adaptive Case Selection for Symbolic Regression in Grammatical Evolution
  • Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization
  • MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization
  • Optimizing CMA-ES with CMA-ES
  • Enhancing ε-Sampling in the AεSεH Evolutionary Multi-Objective Optimization Algorithm
  • A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions
  • A Hybrid Bayesian-Genetic Algorithm Based Hyperparameter Optimization of a LSTM Network for Demand Forecasting of Retail Products
  • Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
  • On Switching Selection Methods to Increase Parsimony Pressure
  • Too Constrained for Genetic Algorithms too Hard for Evolutionary Computing the Traveling Tournament Problem
  • A Game Theoretic Approach Based on Differential Evolution to Ensemble Learning for Classification
  • Hybrid Training to Generate Robust Behaviour for Swarm Robotics Tasks
  • Meta-Heuristic Optimization of Transistor Sizing in CMOS Digital Designs
  • Assisting Convergence Behaviour Characterisation with Unsupervised Clustering
  • A Survey and Analysis of Evolutionary Operators for Permutations
  • Challenges of ELA-Guided Function Evolution Using Genetic Programming
  • Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection
  • Towards Understanding Crossover for Cartesian Genetic Programming
  • Can HP-protein Folding Be Solved with Genetic Algorithms? Maybe not
  • Differential Evolution Algorithm Based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition
  • Approximations of New MV-Valued Types of Fuzzy Sets
  • Measuring and Ranking Bipolarity via Orthopairs
  • On the Categories of Coalgebras, Dialgebras and Powerset Theory over L-Fuzzy Approximation Spaces
  • Fuzzy Least Squares and Fuzzy Orthogonal Least Squares Linear Regressions
  • A New Approach to Addressing Uncertainty in Information Technology with Fuzzy Multi-Criteria Decision Analysis
  • Semi-Supervised Fuzzy C-Means for Regression
  • A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality
  • Experimental Assessment of Heterogeneous Fuzzy Regression Trees
  • The Partition Problem, and How The Distribution of Input Bits Affects the Solving Process
  • Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets
  • MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing
  • MASD: Malicious Web Session Detection Using ML-Based Classifier
  • Robust Drone Detection and Classification from Radio Frequency Signals Using Convolutional Neural Networks
  • Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation
  • Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies
  • Exploring Segnet Architectures for iGPU Embedded Devices
  • Neural Network-Based Approach for Supervised Nonlinear Feature Selection
  • Testing Variants of LSTM Networks for a Production Forecasting Problem
  • Development of Kendo Motion Prediction System for VR Kendo Training System
  • Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification
  • Automatic Emoticons Insertion System Based on Acoustic Information of User Voice: 1st Report on Data Model for Emotion Estimation Using Machine Learning
  • The Opaque Nature of Intelligence and the Pursuit of Explainable AI
  • Unsupervised Representation Learning by Quasiconformal Extension
  • Molecule Builder: Environment for Testing Reinforcement Learning Agents
  • A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids
  • A One-Vs-One Approach to Improve Tangled Program Graph Performance on Classification Tasks
  • CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding
  • Towards True Explainable Artificial Intelligence for Real World Applications
  • Deep Learning for Active Robotic Perception
  • Maximizing Particle Coverage with Fixed-Area Rectangles
  • Abstraction of Prevention Conceived in Distributed Knowledge Base
  • Structural Analysis of the Curriculum Through a Bipartite Network
  • Exploring Potential Causal Models for Climate-Society-Conflict Interaction
  • Mainstream and Alternative Narratives in the Wake of Gun Shootings
  • Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study
  • Examining the Intra-Location Differences Among Twitter Samples
  • The Transition from Kanban to Scrum and Risk Prevention in Big Telco Corporation
  • A Case Study of Genealogical Networks from Network Science Perspective
  • The Correlation Between Media Consumption and Loneliness: The Case of Young People in Portugal
  • An Analysis of Twitter Communities Related to the 2022 War in Ukraine
  • International Economic Integration from the Perspective of Economic Complexity and Economic Fitness: A Methodological Proposal
  • Tuning of the Update Timing Will Stop the Defector Invasion in the Spatial Game Theory
  • ALARP in Engineering: Risk Based Design and CBA