IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The median citation count of IEEE Transactions on Emerging Topics in Computational Intelligence is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data281
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization168
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling144
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images120
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images114
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps113
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer108
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space108
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation101
Feature Diversity Learning for a Compact CNN Module100
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction96
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning96
Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms95
EW2A: Evolutionary Window Attention Adaptation for Medical Image Segmentation93
Unleashing the Potential of Large Language Models for Dynamic Multiobjective Optimization86
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm83
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective82
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement79
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models76
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach76
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages72
Multi-View Adjacency-Constrained Hierarchical Clustering72
Neuron Membership Inference Attack in Federated Learning for bit Scenarios71
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification71
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification70
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization68
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion65
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training64
A Two-Stage Learning Guided Multi-Objective Evolutionary Algorithm for Task Offloading in Edge Computing63
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning62
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding57
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification57
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement54
Table of Contents54
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis53
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means52
Privacy Preserved and Explainable Deep Medical Image Analysis: A Survey51
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification51
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis51
Security Risks of AI/ML With a Focus on Reinforcement Learning: A Review and Perspectives From Grid Applications49
ProtoNAS: Accelerating Differentiable Neural Architecture Search via Prototypical Data Pruning47
Spatio-Temporal Series Prediction Based on Multi-Objective Evolutionary Deep Convolutional Echo State Networks47
Multi-Label Feature Selection by Maximum Affinity-Relevance, Maximum Affinity-Interaction and Minimum Affinity-Redundancy46
TDM: Trustworthy Decision-Making Via Interpretability Enhancement46
Knowledge Transfer-Based Co-Evolutionary Search for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling46
Generative Methods for Solving Interactive Dynamic Influence Diagrams46
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings44
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information44
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure44
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information43
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem43
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification42
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems41
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification41
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios41
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction40
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion40
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation40
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion40
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning39
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model39
Class Discriminative Knowledge Distillation39
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks39
QGHNN: A Quantum Graph Hamiltonian Neural Network38
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems38
Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers38
Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation38
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution38
Learning EEG Motor Characteristics via Temporal-Spatial Representations38
Indeterminacy-Driven Trade-Off in Reinforcement Learning on Neutrosophic Fuzzy Hypergraphs for Explainable Item Recommendation With Path-Compliant Rewards38
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning38
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding38
Neuromorphic Auditory Perception by Neural Spiketrum36
IEEE Computational Intelligence Society Information35
Curvature Regularized Similarity Based Ricci Flow Embedding35
Risk-Regularization Optimization for Learning Wind Power Curve35
Table of Contents35
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach34
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images34
IEEE Computational Intelligence Society Information34
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data34
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors34
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence33
Improved Weakly Supervised Logo Detection Using Semantic Domain Adaptation and Regularization33
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms32
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection32
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses32
Adversarial Attention Networks for Early Action Recognition31
Table of Contents31
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms31
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion31
Defending Against DDoS Attacks via Heterogeneous Data Conflict Resolution for Secure Services in Internet of Things31
Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification31
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems31
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators30
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games30
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images30
EMT-DAKT: Evolutionary Multi-Objective Multi-Task Optimization Algorithm Using Deep Models With Adaptive Knowledge Transfer30
Super Neurons30
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems29
Efficient HDR Reconstruction From Real-World Raw Images29
AVNPSO: Hyperparameter Optimization of Encoder-Decoder Networks for Image Segmentation29
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement29
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges29
Advancing Privacy and Accuracy With Federated Learning and Homomorphic Encryption29
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization28
PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning28
A Global-Local Data Clustering Framework With Adaptive Feature and Sample Weighting and Balanced Constraint28
Smart Energy Hub Frequency Control-Based Machine Learning28
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data28
Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification27
Dynamic Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization27
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts27
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network27
Equilibrium Contrastive Learning for Imbalanced Image Classification27
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information27
IEEE Computational Intelligence Society27
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification27
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach27
TrustFL: Robustness-Enhanced Privacy-Preserving Federated Learning Based on Blockchain26
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction26
Granular Symmetric Implicational Method25
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation25
Mutual Information Guided Financial Report Generation With Domain Adaption25
Adaptive Indoor People-Counting System Based on Edge AI Computing25
On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage25
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks25
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros25
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection25
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing25
Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning25
Cross-Domain RGB-to-Event Image Translation Using Spiking Neurons for Eye Detection24
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot24
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons24
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan24
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM23
GaussFocus RPN for Remote Sensing Object Detection23
AI Empowered Short-Term Wind Forecasting for Participation in Electricity Market23
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability23
Dual-Population Evolution-Based Collaborative Optimization for Coordinated UAVs Mission Patrol Under Mountainous Environments23
Morphology Recognition Network via Contrastive Distillation for Detecting Rail Surface Defects23
Generative Probabilistic Meta-Learning for Few-Shot Image Classification23
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine23
TSK Fuzzy System Optimization for High-Dimensional Regression Problems23
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks22
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease22
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features22
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification22
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging22
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling22
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors22
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision22
A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times21
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems21
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation21
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors21
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines21
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems21
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns21
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model21
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review21
Attributes Guided Feature Learning for Vehicle Re-Identification21
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity20
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search20
Deep Hamming Hashing Integrating Transformer and Attention Mechanism20
Transfer Learning-Based Region Statistical Data Completion via Double Graphs20
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation20
Image Super-Resolution Reconstruction Network Based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features20
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution20
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems20
Coupled Kernel Model-Assisted Bi-Level Optimization Based on an Adaptive Knowledge Sharing Mechanism20
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement20
Multi-Medium Image Enhancement With Attentive Deformable Transformers19
Incentivized Federated Learning: A Survey19
Joint Multi-View Unsupervised Feature Selection and Graph Learning19
Multilevel Joint Association Networks for Diverse Human Motion Prediction19
Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach19
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer19
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization19
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach19
MRM: Improving Multihop Reasoning Capability for LLMs With Multistage QA Retrieval19
Surrogate-Assisted Evolutionary Multi-Objective Optimization Grouped by Significant Influence for High-Dimensional Problems19
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters19
How to Characterize Imprecision in Multi-View Clustering?18
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward18
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification18
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images18
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution18
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling18
Diverse-Feature Hierarchical Fusion Learning for Visible-Infrared Person Re-Identification18
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures18
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector18
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph18
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning17
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors17
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach17
Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection17
IEEE Computational Intelligence Society17
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision17
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders17
MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification17
Information for Authors17
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification17
Anomaly Detection in Resource Constrained Environments With Streaming Data17
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem17
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation16
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study16
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting16
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks16
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction16
Unified Twin Support Vector Machines for Large-Scale Pattern Classification16
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning16
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment16
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing16
Analysis of Bursting Oscillations in a TiO 2- x Memristive Neuron C16
Architecture Transferability Quantifying for Multi-Task Neural Architecture Search16
Prescribed-Time Bipartite Synchronization of Fuzzy Signed Networks via Fuzzy Reinforcement Learning16
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization16
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization16
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data16
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint16
PSINet: Parallel Space Interaction Network for Human Pose Estimation16
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles16
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat15
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information15
A Generic and Robust Agent to Accomplish Quantum Control Tasks15
StreamSoNG: A Soft Streaming Classification Approach15
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities15
Evo-Panel: Dynamic Visualization Tool for Optimization Process15
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm15
Genetic-Algorithm-Optimized Fuzzy Zeroing Dynamics for Visual Servoing of Robot-Camera Systems Without Modeling and Calibration15
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network15
Learning Adaptive Differential Evolution by Natural Evolution Strategies15
Deep Variational Inference Network for Single Image Reflection Removal15
Progressive Feature Enhancement Network for Surface Defect Segmentation15
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis14
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications14
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks14
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification14
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs14
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection14
An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences14
Prototype-Based Modality-Specific Feature Distillation for Incomplete Multimodal Sentiment Analysis14
Collaborating Constrained and Unconstrained Encodings for Cross-Modal Salient Object Detection14
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data14
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems14
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey14
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds14
Event-Based Receding-Horizon Q-Learning Control of Nonlinear Discrete-Time Systems With Asymmetric Control Constraints14
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism14
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