IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computational Intelligence is 8. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
2021 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5599
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective177
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion149
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems126
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data115
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement112
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization105
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models102
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization99
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images94
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning94
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction89
Multi-View Adjacency-Constrained Hierarchical Clustering85
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning82
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement82
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm80
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding78
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features77
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps73
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer66
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training64
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space63
Feature Diversity Learning for a Compact CNN Module59
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation58
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification56
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images55
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification54
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model50
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach49
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling49
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages48
Table of Contents48
IEEE Computational Intelligence Society46
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction46
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding45
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis44
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model43
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge42
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning41
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios40
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification37
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems37
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means37
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis37
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation36
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification36
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure36
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information36
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion35
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks35
Learning EEG Motor Characteristics via Temporal-Spatial Representations35
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem35
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion34
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation33
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems33
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings32
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning32
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification32
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution31
TDM: Trustworthy Decision-Making Via Interpretability Enhancement31
Class Discriminative Knowledge Distillation30
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses29
Table of Contents29
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach29
Curvature Regularized Similarity Based Ricci Flow Embedding29
IEEE Computational Intelligence Society Information29
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems28
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach28
IEEE Computational Intelligence Society Information28
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 Farmers28
Neuromorphic Auditory Perception by Neural Spiketrum28
Super Neurons28
Smart Energy Hub Frequency Control-Based Machine Learning28
Information for Authors28
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games27
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection27
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems27
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement27
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization26
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data26
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion26
Adversarial Attention Networks for Early Action Recognition26
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images26
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges25
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images25
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators25
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms25
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence25
Table of Contents25
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data24
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification24
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot24
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images24
IEEE Computational Intelligence Society24
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts24
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms24
IEEE Computational Intelligence Society24
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data23
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling23
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information23
Adaptive Indoor People-Counting System Based on Edge AI Computing23
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction23
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros23
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM23
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan23
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision22
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons22
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems22
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model22
Some Generalized Integrals Applied in Scientometrics and Related Evaluation21
Granular Symmetric Implicational Method21
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation21
TSK Fuzzy System Optimization for High-Dimensional Regression Problems21
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks21
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks21
Cross-Domain RGB-to-Event Image Translation Using Spiking Neurons for Eye Detection21
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features21
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging20
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine20
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability20
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection20
Mutual Information Guided Financial Report Generation With Domain Adaption20
A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times20
Generative Probabilistic Meta-Learning for Few-Shot Image Classification20
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines19
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors19
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward19
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network19
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification19
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors19
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review19
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing19
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease19
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets19
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach18
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization18
Transfer Learning-Based Region Statistical Data Completion via Double Graphs18
Multilevel Joint Association Networks for Diverse Human Motion Prediction18
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems17
Incentivized Federated Learning: A Survey17
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation17
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images17
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector17
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph17
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems17
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer17
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification17
Diverse-Feature Hierarchical Fusion Learning for Visible-Infrared Person Re-Identification17
Multi-Medium Image Enhancement With Attentive Deformable Transformers17
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning17
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling17
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures17
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns16
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity16
Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach16
How to Characterize Imprecision in Multi-View Clustering?16
Using Feature Selection for Local Causal Structure Learning16
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement16
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation16
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search16
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution16
Attributes Guided Feature Learning for Vehicle Re-Identification16
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors15
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision15
Joint Multi-View Unsupervised Feature Selection and Graph Learning15
IEEE Transactions on Emerging Topics in Computational Intelligence15
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint15
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction15
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters15
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning15
Information for Authors15
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization15
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution15
IEEE Computational Intelligence Society15
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing14
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment14
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification14
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval14
Anomaly Detection in Resource Constrained Environments With Streaming Data14
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks14
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat14
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach14
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching14
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem14
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation14
Learning Adaptive Differential Evolution by Natural Evolution Strategies14
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities14
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders13
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles13
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification13
MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification13
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data13
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds13
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network13
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting13
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information13
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study13
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization12
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking12
Deep Variational Inference Network for Single Image Reflection Removal12
Progressive Feature Enhancement Network for Surface Defect Segmentation12
Smart Sensor Control for Rehabilitation in Parkinson's Patients12
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey12
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection12
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm12
CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution12
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection12
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems12
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data12
StreamSoNG: A Soft Streaming Classification Approach12
Collaborating Constrained and Unconstrained Encodings for Cross-Modal Salient Object Detection12
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs11
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications11
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism11
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures11
Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay11
Evolutionary Multitasking With Adaptive Cross-Dataset Knowledge Transfer for Band Selection of Hyperspectral Images11
Evo-Panel: Dynamic Visualization Tool for Optimization Process11
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering11
Complex-Order Quantum-Behaved Particle Swarm Optimization With Double Jump-Out Strategy11
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning11
Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework11
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction11
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors11
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis11
Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning11
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data11
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem11
Design and Optimisations of Metal-Oxide Artificial Synaptic Device Based Machine Learning Model11
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification10
Incomplete Data Transfer Calibration Classification10
Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning10
Decentralized Triggering and Event-Based Integral Reinforcement Learning for Multiplayer Differential Game Systems10
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning10
Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks10
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction10
Evolutionary Neural Architecture Search for Transferable Networks10
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks10
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging10
AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning10
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game10
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition10
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning10
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training10
Heterogeneity-Aware Federated Graph Neural Networks for Incomplete Multi-View Clustering10
A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring10
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting10
BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing10
A Cross-Level Interaction Network Based on Scale-Aware Augmentation for Camouflaged Object Detection9
Sparse Graph Tensor Learning for Multi-View Spectral Clustering9
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