IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computational Intelligence is 10. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion240
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data223
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization133
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning126
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization118
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems114
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective107
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning107
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps103
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling99
Multi-View Adjacency-Constrained Hierarchical Clustering97
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification96
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images95
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach90
Feature Diversity Learning for a Compact CNN Module87
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models87
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction86
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement84
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding79
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages73
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement67
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation66
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images65
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification64
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training63
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer63
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space63
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm61
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification61
IEEE Computational Intelligence Society60
Table of Contents58
Learning EEG Motor Characteristics via Temporal-Spatial Representations56
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning54
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings52
Knowledge Transfer-Based Co-Evolutionary Search for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling50
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios49
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis48
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means47
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification46
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information45
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure45
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem44
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning42
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification41
TDM: Trustworthy Decision-Making Via Interpretability Enhancement41
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information41
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification40
Indeterminacy-Driven Trade-Off in Reinforcement Learning on Neutrosophic Fuzzy Hypergraphs for Explainable Item Recommendation With Path-Compliant Rewards40
Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation38
QGHNN: A Quantum Graph Hamiltonian Neural Network37
Security Risks of AI/ML With a Focus on Reinforcement Learning: A Review and Perspectives From Grid Applications37
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis37
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation37
ProtoNAS: Accelerating Differentiable Neural Architecture Search via Prototypical Data Pruning37
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge36
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems36
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks35
Class Discriminative Knowledge Distillation35
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution35
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding35
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model34
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion34
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction34
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems34
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion34
IEEE Computational Intelligence Society Information33
Neuromorphic Auditory Perception by Neural Spiketrum33
Curvature Regularized Similarity Based Ricci Flow Embedding33
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 Farmers33
Table of Contents33
IEEE Computational Intelligence Society Information32
Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification32
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors32
Risk-Regularization Optimization for Learning Wind Power Curve32
PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning32
Smart Energy Hub Frequency Control-Based Machine Learning31
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images30
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images30
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems30
Defending Against DDoS Attacks via Heterogeneous Data Conflict Resolution for Secure Services in Internet of Things30
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion30
Table of Contents30
AVNPSO: Hyperparameter Optimization of Encoder-Decoder Networks for Image Segmentation30
Adversarial Attention Networks for Early Action Recognition29
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement29
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach29
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms29
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data29
Dynamic Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization29
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection28
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators28
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges28
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses28
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data28
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach27
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems27
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification26
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization26
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts26
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence26
Super Neurons26
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms25
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan25
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks25
Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification25
IEEE Computational Intelligence Society25
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information25
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games25
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network25
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction25
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability24
Cross-Domain RGB-to-Event Image Translation Using Spiking Neurons for Eye Detection24
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing24
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation24
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM24
TrustFL: Robustness-Enhanced Privacy-Preserving Federated Learning Based on Blockchain24
Mutual Information Guided Financial Report Generation With Domain Adaption23
Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning23
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines23
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks23
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros23
Morphology Recognition Network via Contrastive Distillation for Detecting Rail Surface Defects23
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features23
Granular Symmetric Implicational Method23
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot22
On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage22
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision22
Generative Probabilistic Meta-Learning for Few-Shot Image Classification22
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors22
AI Empowered Short-Term Wind Forecasting for Participation in Electricity Market22
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging22
TSK Fuzzy System Optimization for High-Dimensional Regression Problems22
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling21
Adaptive Indoor People-Counting System Based on Edge AI Computing21
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
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine21
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease21
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection21
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model21
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification20
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems20
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors20
Multilevel Joint Association Networks for Diverse Human Motion Prediction20
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review20
Dual-Population Evolution-Based Collaborative Optimization for Coordinated UAVs Mission Patrol Under Mountainous Environments20
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation20
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons20
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems20
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search20
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images19
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns19
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets19
Image Super-Resolution Reconstruction Network Based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features19
Multi-Medium Image Enhancement With Attentive Deformable Transformers19
Deep Hamming Hashing Integrating Transformer and Attention Mechanism19
Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach19
Attributes Guided Feature Learning for Vehicle Re-Identification19
Coupled Kernel Model-Assisted Bi-Level Optimization Based on an Adaptive Knowledge Sharing Mechanism18
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification18
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems18
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity18
Diverse-Feature Hierarchical Fusion Learning for Visible-Infrared Person Re-Identification18
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures18
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters18
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer17
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning17
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution17
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation17
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach17
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph17
MRM: Improving Multihop Reasoning Capability for LLMs With Multistage QA Retrieval17
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization17
Incentivized Federated Learning: A Survey17
Transfer Learning-Based Region Statistical Data Completion via Double Graphs17
How to Characterize Imprecision in Multi-View Clustering?17
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector16
Information for Authors16
Joint Multi-View Unsupervised Feature Selection and Graph Learning16
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution16
IEEE Computational Intelligence Society16
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward16
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement16
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling16
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors16
Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection15
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders15
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks15
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision15
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification15
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint15
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem15
MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification15
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment15
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data14
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization14
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification14
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat14
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing14
Anomaly Detection in Resource Constrained Environments With Streaming Data14
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles14
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation14
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting14
StreamSoNG: A Soft Streaming Classification Approach14
Unified Twin Support Vector Machines for Large-Scale Pattern Classification14
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach14
Learning Adaptive Differential Evolution by Natural Evolution Strategies14
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network14
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction14
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information14
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs14
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities14
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study14
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning14
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm13
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection13
Genetic-Algorithm-Optimized Fuzzy Zeroing Dynamics for Visual Servoing of Robot-Camera Systems Without Modeling and Calibration13
An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences13
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis13
Collaborating Constrained and Unconstrained Encodings for Cross-Modal Salient Object Detection13
Deep Variational Inference Network for Single Image Reflection Removal13
Evo-Panel: Dynamic Visualization Tool for Optimization Process13
Membrane Potential-Driven Adaptive Threshold Plasticity for SNNs: A Bio-Inspired Mechanism Combining Inverse Depolarization Rate and Proportional Membrane Potential Dynamics13
Progressive Feature Enhancement Network for Surface Defect Segmentation13
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems13
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization13
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking13
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism13
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data13
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds13
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging12
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm12
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors12
Prototype-Based Modality-Specific Feature Distillation for Incomplete Multimodal Sentiment Analysis12
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications12
Pseudo Progressive Global to Local Transformer Network for Segmentation Refinement12
Design and Optimisations of Metal-Oxide Artificial Synaptic Device Based Machine Learning Model12
Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling12
A Multi-Task Deep Learning Framework Integrating Segmentation and Reconstruction for Lensless Imaging12
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey12
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering12
Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay12
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning12
Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework12
2025 Index IEEE Transactions on Emerging Topics in Computational Intelligence12
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction12
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures12
Smart Sensor Control for Rehabilitation in Parkinson's Patients12
CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution12
Heterogeneity-Aware Federated Graph Neural Networks for Incomplete Multi-View Clustering12
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning12
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