What You Always Wanted to Know About Evolution Strategies, But Never Dared to AskTowards Better Explainable AI Through Genetic ProgrammingDecomposition Multi-Objective Optimization: Current Developments and Future OpportunitiesEvolutionary Algorithms and Hyper-HeuristicsEvolutionary Feature Reduction for Machine LearningEvolutionary Bilevel Optimization: Methods and ApplicationsFair Performance Comparison of Evolutionary Multi-Objective AlgorithmsNew EMO Algorithm Framework with an Unbounded External Archive: Basic Ideas and Research DirectionsMulti-Objective Machine LearningPareto Optimization for Subset Selection: Theories and Practical AlgorithmsParticle Swarm Optimization: A Multi-Purpose Optimization ApproachGenetic Programming and Machine Learning for SchedulingEvolutionary neural architecture searchA Deep Dive into Robust Optimization Over Time: Problems, Algorithms, and BeyondPrinciple and Applications of Semantic Genetic ProgrammingBenchmarking and analyzing iterative optimization heuristics with IOHprofilerTracking the moving optimum in dynamic optimization problemsEvolutionary Diversity Optimization for Combinatorial OptimizationDesigning Metaheuristics with Large Language Models: Challenges and OpportunitiesEmbedding Knowledge into Optimization ProcessLandscape Analysis for Explainable OptimizationAdversarial Optimisation through Competitive co-Evolutionary AlgorithmsEvolutionary Multi-task OptimizationDifferential Evolution with Ensembles, Adaptations and Topologies
Dynamic Programming (DP) for AI with DP Perceptions of Back-PropagationMethods for Learning with Few DataEfficient and Secure Foundation ModelsFrom Natural Language Processing to Technical Language ProcessingInstance Space Analysis for Rigorous and Insightful Algorithm TestingLearning from Imbalanced Data StreamsA Comprehensive Tutorial on Active Learning: Strategies and ApplicationsTinyML: An Introduction to Machine Learning on Tiny DevicesHypercomplex Neural Networks for Multidimensional DataCausal Reinforcement Learning: Empowering Agents with CausalityExplainable AI (XAI) for Computer Vision – A Review of Existing Methods and a New Method to Extract a Symbolic Model from a CNN ModelDeep Learning for GraphsCollaborative Learning and OptimizationProspects and Limits of Generative Artificial Intelligence for Medical Systems: Intelligent HealthcareConscious Learning vs. Deep LearningNeural Network Design and Optimization for 3D Point Cloud ComputingEthical Risks and Challenges of Computational IntelligenceA Guided Tour of Neural Architecture SearchIn-Material Physical ComputingQuantum Tensor Networks in Machine Learning and Artificial Intelligence
A primer on challenges in Ethical AI – from practice to teachingInterpretable Fuzzy Networks for Explainable Artificial IntelligenceUsing Fuzzy Sets and Systems for Explainable Artificial Intelligence – How and Why?A leap forward in overcoming the drawbacks of fuzzy set theory Efficient Optimization of TSK Fuzzy Systems
