IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computational Intelligence is 11. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data307
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization201
Neuron Membership Inference Attack in Federated Learning for bit Scenarios161
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification133
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization121
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images118
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images116
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling114
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification112
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding109
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective108
A Two-Stage Learning Guided Multi-Objective Evolutionary Algorithm for Task Offloading in Edge Computing106
MARTA: Multi-Person Activity Recognition With mmWave Based on Temporal Attention104
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification100
Feature Diversity Learning for a Compact CNN Module100
Comprehensive Multi-View Clustering via Low-Dimensional Subspace Representation98
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation92
EW2A: Evolutionary Window Attention Adaptation for Medical Image Segmentation88
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm88
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning88
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning83
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion80
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction77
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models76
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps74
Unleashing the Potential of Large Language Models for Dynamic Multiobjective Optimization72
Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms69
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach69
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages67
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement65
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space64
Multi-View Adjacency-Constrained Hierarchical Clustering64
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement61
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer59
Table of Contents56
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training56
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning55
Privacy Preserved and Explainable Deep Medical Image Analysis: A Survey54
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis54
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information53
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information53
ProtoNAS: Accelerating Differentiable Neural Architecture Search via Prototypical Data Pruning53
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification53
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation50
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems48
LGIEA: A Local-Global Information Guided Evolutionary Algorithm for Influence Maximization48
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem48
Security Risks of AI/ML With a Focus on Reinforcement Learning: A Review and Perspectives From Grid Applications47
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis47
Learning EEG Motor Characteristics via Temporal-Spatial Representations47
Generative Methods for Solving Interactive Dynamic Influence Diagrams46
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure46
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings46
Knowledge Transfer-Based Co-Evolutionary Search for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling46
QGHNN: A Quantum Graph Hamiltonian Neural Network45
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios45
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification44
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks44
Spatio-Temporal Series Prediction Based on Multi-Objective Evolutionary Deep Convolutional Echo State Networks43
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding42
EvoBTSeg: Evolutionary Architecture Search for Compact and Precise Heterogeneous Brain Tumor Segmentation41
Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation41
SageIQ: Scene-Graph-Guided Blind Image Quality Assessment41
An Automated Scheduling Framework for Event Extraction40
Class Discriminative Knowledge Distillation40
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution40
Multi-Label Feature Selection by Maximum Affinity-Relevance, Maximum Affinity-Interaction and Minimum Affinity-Redundancy40
Multiparty Multiobjective Optimization for Dynamic Multimodal Optimization Problems40
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion40
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means40
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion40
Probabilistic Federated Learning on Uncertain and Heterogeneous Data With Model Personalization40
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning39
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification39
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction39
Indeterminacy-Driven Trade-Off in Reinforcement Learning on Neutrosophic Fuzzy Hypergraphs for Explainable Item Recommendation With Path-Compliant Rewards38
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model38
Compensating Quantization Errors via Singular-Value Diagonal Expansion and Cross-Layer Learning37
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 Farmers36
Table of Contents36
IEEE Computational Intelligence Society Information35
Curvature Regularized Similarity Based Ricci Flow Embedding35
Risk-Regularization Optimization for Learning Wind Power Curve35
IEEE Computational Intelligence Society Information35
Advancing Privacy and Accuracy With Federated Learning and Homomorphic Encryption34
Inconsistency-Aware Graph Convolutional Networks for Multi-View Classification34
Smart Energy Hub Frequency Control-Based Machine Learning34
PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning34
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion33
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach33
Hybrid Memetic Search for Electric Vehicle Routing With Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges33
Adversarial Attention Networks for Early Action Recognition32
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses32
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images32
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems32
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection32
Super Neurons32
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors32
Table of Contents32
Defending Against DDoS Attacks via Heterogeneous Data Conflict Resolution for Secure Services in Internet of Things32
Dynamic Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization31
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems31
Efficient HDR Reconstruction From Real-World Raw Images31
AVNPSO: Hyperparameter Optimization of Encoder-Decoder Networks for Image Segmentation31
GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms30
EMT-DAKT: Evolutionary Multi-Objective Multi-Task Optimization Algorithm Using Deep Models With Adaptive Knowledge Transfer30
Improved Weakly Supervised Logo Detection Using Semantic Domain Adaptation and Regularization30
Box Embedding With Probabilistic Reasoning for FOL Queries Over Knowledge Graph30
Subgraph Neural Networks With Multi-Scale Contrastive Learning for Graph Classification29
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data29
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors29
Equilibrium Contrastive Learning for Imbalanced Image Classification29
Neuromorphic Auditory Perception by Neural Spiketrum28
A Global-Local Data Clustering Framework With Adaptive Feature and Sample Weighting and Balanced Constraint28
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement28
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators28
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence28
TransACO: Transformer-Guided Ant Colony Algorithm for Combinatorial Optimization28
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games27
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms27
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images27
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach27
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification27
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization26
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection26
TrustFL: Robustness-Enhanced Privacy-Preserving Federated Learning Based on Blockchain26
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks26
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information26
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts26
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing26
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision25
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction25
Cross-Domain RGB-to-Event Image Translation Using Spiking Neurons for Eye Detection25
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine25
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan25
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network25
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks25
TSK Fuzzy System Optimization for High-Dimensional Regression Problems25
Mutual Information Guided Financial Report Generation With Domain Adaption25
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros25
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines24
Morphology Recognition Network via Contrastive Distillation for Detecting Rail Surface Defects24
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling24
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM24
GaussFocus RPN for Remote Sensing Object Detection24
Dual-Population Evolution-Based Collaborative Optimization for Coordinated UAVs Mission Patrol Under Mountainous Environments24
Trajectory Tracking and Reinforcement Learning Based Obstacle Avoidance for a Cable-Driven Parallel Robot With Aerial-Ground Mobile Bases23
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors23
Adaptive Indoor People-Counting System Based on Edge AI Computing23
A Learning-Based Two-Stage Multi-Thread Iterated Greedy Algorithm for Co-Scheduling of Distributed Factories and Automated Guided Vehicles With Sequence-Dependent Setup Times23
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot23
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability23
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation23
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons22
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model22
Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning22
Generative Probabilistic Meta-Learning for Few-Shot Image Classification22
AI Empowered Short-Term Wind Forecasting for Participation in Electricity Market22
Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification22
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging22
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features22
On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage21
Diverse-Feature Hierarchical Fusion Learning for Visible-Infrared Person Re-Identification21
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease21
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems21
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification21
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution21
Passivity-Based Fractional-Order Control Design and Stabilization Using Gradient-Based Learning Approach21
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems21
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach21
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors21
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification21
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review21
Multilevel Joint Association Networks for Diverse Human Motion Prediction20
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems20
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity20
Deep Hamming Hashing Integrating Transformer and Attention Mechanism20
Attributes Guided Feature Learning for Vehicle Re-Identification20
Transfer Learning-Based Region Statistical Data Completion via Double Graphs20
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer20
Surrogate-Assisted Evolutionary Multi-Objective Optimization Grouped by Significant Influence for High-Dimensional Problems20
Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach20
Coupled Kernel Model-Assisted Bi-Level Optimization Based on an Adaptive Knowledge Sharing Mechanism20
MRM: Improving Multihop Reasoning Capability for LLMs With Multistage QA Retrieval20
Image Super-Resolution Reconstruction Network Based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features20
Multi-Medium Image Enhancement With Attentive Deformable Transformers19
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images19
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning19
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector19
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement19
League Training-Based Dual Optimization Method for UAV Maneuver Decision-Making19
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation19
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search19
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
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns18
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures18
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph18
Incentivized Federated Learning: A Survey18
How to Characterize Imprecision in Multi-View Clustering?18
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward18
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters18
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction17
Joint Multi-View Unsupervised Feature Selection and Graph Learning17
IEEE Computational Intelligence Society17
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification17
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment17
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing17
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks17
MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification17
Architecture Transferability Quantifying for Multi-Task Neural Architecture Search17
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors17
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization17
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study17
PSINet: Parallel Space Interaction Network for Human Pose Estimation17
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat17
Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection17
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting17
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders17
Unified Twin Support Vector Machines for Large-Scale Pattern Classification17
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem17
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning17
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach17
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation17
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data17
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint17
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities17
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs16
Prescribed-Time Bipartite Synchronization of Fuzzy Signed Networks via Fuzzy Reinforcement Learning16
Analysis of Bursting Oscillations in a TiO 2- x Memristive Neuron C16
Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization16
Prototype-Based Modality-Specific Feature Distillation for Incomplete Multimodal Sentiment Analysis16
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder With Input Convex Neural Networks16
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information16
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization16
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network16
Learning Adaptive Differential Evolution by Natural Evolution Strategies16
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm16
Deep Variational Inference Network for Single Image Reflection Removal16
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision16
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles16
PFA-Net: Pyramidal Feature Aggregation Network for Real-Time Human Gait Recognition16
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications16
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds15
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism15
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification15
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering15
An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences15
Event-Based Receding-Horizon Q-Learning Control of Nonlinear Discrete-Time Systems With Asymmetric Control Constraints15
Progressive Feature Enhancement Network for Surface Defect Segmentation15
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