IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The median citation count of IEEE Transactions on Emerging Topics in Computational Intelligence is 2. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion214
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data197
2021 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5119
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning116
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization116
Multi-View Adjacency-Constrained Hierarchical Clustering115
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement112
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space106
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement102
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer97
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images94
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training94
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective91
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding87
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps86
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification84
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling82
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification82
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm75
Feature Diversity Learning for a Compact CNN Module69
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction68
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach65
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization62
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models62
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems61
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning60
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages58
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation57
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images57
IEEE Computational Intelligence Society55
Table of Contents54
Learning EEG Motor Characteristics via Temporal-Spatial Representations52
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems51
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning46
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge45
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings45
QGHNN: A Quantum Graph Hamiltonian Neural Network44
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis43
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios43
Knowledge Transfer-Based Co-Evolutionary Search for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling43
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis42
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification42
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means42
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information41
Class Discriminative Knowledge Distillation40
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation37
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information37
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem37
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding37
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification36
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification36
Indeterminacy-Driven Trade-Off in Reinforcement Learning on Neutrosophic Fuzzy Hypergraphs for Explainable Item Recommendation With Path-Compliant Rewards35
Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation34
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning33
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion33
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion33
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model32
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction32
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks32
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems32
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure32
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges31
Curvature Regularized Similarity Based Ricci Flow Embedding31
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 Farmers31
Dynamic Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization31
Table of Contents31
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution31
IEEE Computational Intelligence Society Information31
Neuromorphic Auditory Perception by Neural Spiketrum31
TDM: Trustworthy Decision-Making Via Interpretability Enhancement31
Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification30
IEEE Computational Intelligence Society Information30
Risk-Regularization Optimization for Learning Wind Power Curve30
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators29
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data29
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors29
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems29
PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning29
Adversarial Attention Networks for Early Action Recognition29
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses28
Smart Energy Hub Frequency Control-Based Machine Learning28
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images27
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence27
Defending Against DDoS Attacks via Heterogeneous Data Conflict Resolution for Secure Services in Internet of Things27
AVNPSO: Hyperparameter Optimization of Encoder-Decoder Networks for Image Segmentation27
Super Neurons26
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection26
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement26
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems26
Table of Contents26
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images25
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion25
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms25
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data25
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms25
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach25
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach25
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games24
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization24
IEEE Computational Intelligence Society24
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts24
IEEE Computational Intelligence Society24
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification24
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks23
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network23
Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification23
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling22
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information22
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM22
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan22
TSK Fuzzy System Optimization for High-Dimensional Regression Problems21
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation21
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification21
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
TrustFL: Robustness-Enhanced Privacy-Preserving Federated Learning Based on Blockchain21
Adaptive Indoor People-Counting System Based on Edge AI Computing21
Cross-Domain RGB-to-Event Image Translation Using Spiking Neurons for Eye Detection21
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction21
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection21
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons21
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging20
Mutual Information Guided Financial Report Generation With Domain Adaption20
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features20
Morphology Recognition Network via Contrastive Distillation for Detecting Rail Surface Defects20
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors20
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks20
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data19
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision19
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease19
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing19
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines19
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros19
Granular Symmetric Implicational Method19
Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning19
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine19
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability19
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot19
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model19
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review19
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems19
Transfer Learning-Based Region Statistical Data Completion via Double Graphs18
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach18
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems18
Multilevel Joint Association Networks for Diverse Human Motion Prediction18
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer18
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph18
Generative Probabilistic Meta-Learning for Few-Shot Image Classification18
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems18
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors18
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation17
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns17
Incentivized Federated Learning: A Survey17
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures17
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution17
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search17
Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach17
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation17
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images17
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity17
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization17
Image Super-Resolution Reconstruction Network Based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features16
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters16
Attributes Guided Feature Learning for Vehicle Re-Identification16
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement16
Diverse-Feature Hierarchical Fusion Learning for Visible-Infrared Person Re-Identification16
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector16
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification16
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward16
Coupled Kernel Model-Assisted Bi-Level Optimization Based on an Adaptive Knowledge Sharing Mechanism16
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning16
Joint Multi-View Unsupervised Feature Selection and Graph Learning16
How to Characterize Imprecision in Multi-View Clustering?16
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets16
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors15
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision15
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution15
IEEE Computational Intelligence Society15
Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection15
Multi-Medium Image Enhancement With Attentive Deformable Transformers15
Information for Authors15
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network15
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation15
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling15
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment14
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat14
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities14
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks14
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification14
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders14
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem14
Anomaly Detection in Resource Constrained Environments With Streaming Data14
MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification14
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization14
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles14
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint13
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing13
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction13
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning13
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach13
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study13
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs12
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems12
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization12
Progressive Feature Enhancement Network for Surface Defect Segmentation12
Evo-Panel: Dynamic Visualization Tool for Optimization Process12
Learning Adaptive Differential Evolution by Natural Evolution Strategies12
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds12
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering12
Collaborating Constrained and Unconstrained Encodings for Cross-Modal Salient Object Detection12
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection12
An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences12
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting12
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information12
StreamSoNG: A Soft Streaming Classification Approach12
Deep Variational Inference Network for Single Image Reflection Removal12
Genetic-Algorithm-Optimized Fuzzy Zeroing Dynamics for Visual Servoing of Robot-Camera Systems Without Modeling and Calibration12
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey12
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data12
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification12
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors11
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking11
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data11
Evolutionary Neural Architecture Search for Transferable Networks11
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data11
Incomplete Data Transfer Calibration Classification11
Heterogeneity-Aware Federated Graph Neural Networks for Incomplete Multi-View Clustering11
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction11
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis11
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem11
CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution11
Smart Sensor Control for Rehabilitation in Parkinson's Patients11
A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring11
BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing11
Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks11
AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning11
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting11
A Multi-Task Deep Learning Framework Integrating Segmentation and Reconstruction for Lensless Imaging11
Evolutionary Multitasking With Adaptive Cross-Dataset Knowledge Transfer for Band Selection of Hyperspectral Images11
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures11
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism11
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications11
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm11
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition11
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training11
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction11
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning11
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning11
Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay11
A Facile Approach To Represent Neural Network With Less Storage Space10
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information10
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