IEEE Computational Intelligence Magazine

Papers
(The median citation count of IEEE Computational Intelligence Magazine is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users282
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research149
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]126
A Self-Adaptive Mutation Neural Architecture Search Algorithm Based on Blocks101
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm73
Multi-Scale Neural Network for EEG Representation Learning in BCI59
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More55
Evolutionary Computation for Intelligent Transportation in Smart Cities: A Survey [Review Article]55
Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making44
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios43
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]42
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values35
Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction26
Computational Intelligence Techniques for Combating COVID-19: A Survey25
COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features21
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]20
Towards Generalized Resource Allocation on Evolutionary Multitasking for Multi-Objective Optimization18
Meaningful Big Data Integration for a Global COVID-19 Strategy18
Improving Evolutionary Multitasking Optimization by Leveraging Inter-Task Gene Similarity and Mirror Transformation17
Deep Evolutionary Learning for Molecular Design16
Type-1 and Interval Type-2 Fuzzy Systems [AI- eXplained]16
Graph Lifelong Learning: A Survey16
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]15
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being15
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]15
Multilayer Network Community Detection: A Novel Multi-Objective Evolutionary Algorithm Based on Consensus Prior Information [Feature]14
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]14
Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes]14
Choosing Representation, Mutation, and Crossover in Genetic Algorithms13
Distributed and Democratized Learning: Philosophy and Research Challenges13
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?13
Evolutionary Multi-Objective Model Compression for Deep Neural Networks13
Intelligent Optimization of Diversified Community Prevention of COVID-19 Using Traditional Chinese Medicine12
Forecasting Wind Speed Time Series Via Dendritic Neural Regression12
An Evolutionary Game Model for Understanding Fraud in Consumption Taxes [Research Frontier]12
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-1912
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]12
Self-Supervised Representation Learning for Evolutionary Neural Architecture Search12
RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems11
Self-Supervised Fusion for Multi-Modal Medical Images via Contrastive Auto-Encoding and Convolutional Information Exchange10
How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem10
Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives10
Data Hiding in Neural Networks for Multiple Receivers [Research Frontier]9
Evolutionary Multitasking AUC Optimization [Research Frontier]8
Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]8
A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]8
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]7
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks7
Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature]7
Explainable and Trustworthy Artificial Intelligence [Guest Editorial]6
PIP: Pictorial Interpretable Prototype Learning for Time Series Classification6
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot6
2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes]6
Surrogate-Assisted Many-Objective Optimization of Building Energy Management6
Advances in Memetic Automaton: Toward Human-Like Autonomous Agents in Complex Multi-Agent Learning Problems5
Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach5
A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem5
Meta-Learning for Fast and Privacy-Preserving Source Knowledge Transfer of EEG-Based BCIs5
Recent Developments in Recommender Systems: A Survey [Review Article]4
How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]4
SPAIC: A Spike-Based Artificial Intelligence Computing Framework4
A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]4
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]4
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models3
Multi-Magnification Attention Convolutional Neural Networks [AI-eXplained]3
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era2
IEEE CAI 2023, an Industry-Centered Conference on AI [Industrial and Governmental Activities]2
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods2
Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning2
What is New in Industry? [Industrial and Governmental Activities]2
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming2
Evolutionary Algorithms Designing Nanoparticle Cancer Treatments with Multiple Particle Types [Application Notes]2
DSAA 20212
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection2
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]2
Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]2
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison2
Interactive Augmentations, Features, and Parameters for Contrastive Learning [AI-eXplained]1
IEEE Computational Intelligence Society Publications1
An Evolutionary Multitasking Method for Multiclass Classification [Research Frontier]1
An Interactive Approach to Build Fuzzy Color Spaces [AI-eXplained]1
Obituary for Michio Sugeno [In Memoriam]1
2022 IEEE Conference on Games1
IEEE Connecting1
Forward Composition Propagation for Explainable Neural Reasoning1
When Evolutionary Computation Meets Privacy1
2022 IEEE Conference on Games1
An Objective Space Constraint-Based Evolutionary Method for High-Dimensional Feature Selection [Research Frontier]1
Spring Forward, Fall Back [President's Message]1
Call for Papers1
Hierarchical Bipartite Graph Convolutional Network for Recommendation1
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier]1
Conference Report on 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) [Conference Reports]1
Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]1
Playing With Monte-Carlo Tree Search [AI-eXplained]1
Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]1
Conference Report on the Inaugural 2023 IEEE Conference on Artificial Intelligence (IEEE CAI 2023) [Conference Reports]1
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Quest for the Balance of AI and Privacy [Editor’s Remarks]0
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2024 IEEE CIS Awards [Society Briefs]0
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Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]0
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A Multi-Tree Genetic Programming-Based Ensemble Approach to Image Classification With Limited Training Data [Research Frontier]0
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RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem0
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Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling0
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