IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computational Intelligence is 7. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
2021 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5532
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective156
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion116
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations114
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model103
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach99
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation98
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems98
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling89
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning89
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images83
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data81
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification79
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding77
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages76
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement73
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization67
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models65
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer58
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization56
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement55
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach55
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps52
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm52
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training52
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images51
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction50
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification46
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space45
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features44
Multi-View Adjacency-Constrained Hierarchical Clustering44
MSDT: Multiscale Diffusion Transformer for Multimodality Image Fusion43
IEEE Computational Intelligence Society42
Table of Contents42
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge38
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction38
3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks37
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding37
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model37
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios36
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation35
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification35
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems34
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis34
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning34
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure33
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification33
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means33
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation32
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings32
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning32
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information31
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification31
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution31
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis30
Class Discriminative Knowledge Distillation30
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion30
Transport Management for Evacuation of Victims30
Learning EEG Motor Characteristics via Temporal-Spatial Representations30
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem29
Curvature Regularized Similarity Based Ricci Flow Embedding28
Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images28
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images28
Super Neurons28
TDM: Trustworthy Decision-Making Via Interpretability Enhancement28
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses27
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence27
Efficient Direct Aperture Optimization via Evolutionary Computation With Customized Variation Operators27
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach27
RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion27
Neuromorphic Auditory Perception by Neural Spiketrum27
Smart Energy Hub Frequency Control-Based Machine Learning26
IEEE Computational Intelligence Society Information26
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images26
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach26
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 Farmers26
Table of Contents26
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms25
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems25
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data24
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 Algorithms23
Adversarial Attention Networks for Early Action Recognition23
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection23
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data23
IEEE Computational Intelligence Society Information23
Information for Authors23
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement22
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification21
IEEE Computational Intelligence Society21
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games21
A Generative Adversarial Networks Model Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization21
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems21
Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot20
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision20
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros20
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
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons20
IEEE Computational Intelligence Society20
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information20
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data20
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing19
Granular Symmetric Implicational Method19
Reinforcement Learning and Transformer for Fast Magnetic Resonance Imaging Scan19
Adaptive Indoor People-Counting System Based on Edge AI Computing19
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model19
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification19
Mutual Information Guided Financial Report Generation With Domain Adaption19
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines19
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging19
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine18
Leveraging Neural Networks and Calibration Measures for Confident Feature Selection18
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM18
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling18
Generative Probabilistic Meta-Learning for Few-Shot Image Classification18
PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks18
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network18
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability18
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features18
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction18
Global Convolutional Self-Action Module for Fast Brain Tumor Image Segmentation18
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors17
Decentralized Online Learning Methods Based on Weight-Balancing Over Time-Varying Digraphs17
Some Generalized Integrals Applied in Scientometrics and Related Evaluation17
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems17
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease17
TSK Fuzzy System Optimization for High-Dimensional Regression Problems17
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors17
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review17
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks17
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling16
Transfer Learning-Based Region Statistical Data Completion via Double Graphs16
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems16
Multilevel Joint Association Networks for Diverse Human Motion Prediction16
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward16
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets16
Incentivized Federated Learning: A Survey16
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph16
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach16
Multi-Region Trend Prediction Strategy With Online Sequential Extreme Learning Machine for Dynamic Multi-Objective Optimization16
Multi-Medium Image Enhancement With Attentive Deformable Transformers16
STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search15
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation15
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity15
Guest Editorial Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems15
YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns15
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector15
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images15
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning15
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer15
Joint Multi-View Unsupervised Feature Selection and Graph Learning14
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution14
Attributes Guided Feature Learning for Vehicle Re-Identification14
Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks14
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation14
Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification14
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement14
Multilingual Program Code Classification Using $n$-Layered Bi-LSTM Model With Optimized Hyperparameters14
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures13
Information for Authors13
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders13
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem13
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution13
NetPlacer+: Model Parallelism Based on Load Balance in Distributed Deep Learning13
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation13
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction13
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching13
Using Feature Selection for Local Causal Structure Learning13
IEEE Computational Intelligence Society13
IEEE Transactions on Emerging Topics in Computational Intelligence13
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach13
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting13
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint12
Learning Adaptive Differential Evolution by Natural Evolution Strategies12
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks12
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors12
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision12
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization12
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat12
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing12
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval12
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles12
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification12
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread11
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering11
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities11
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment11
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization11
Smart Sensor Control for Rehabilitation in Parkinson's Patients11
StreamSoNG: A Soft Streaming Classification Approach11
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications11
Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data11
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study11
Evo-Panel: Dynamic Visualization Tool for Optimization Process11
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism11
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification11
Anomaly Detection in Resource Constrained Environments With Streaming Data11
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network11
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information11
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds11
Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning10
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection10
Progressive Feature Enhancement Network for Surface Defect Segmentation10
Complex-Order Quantum-Behaved Particle Swarm Optimization With Double Jump-Out Strategy10
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data10
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting10
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition10
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems10
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey10
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs10
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data10
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning10
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures10
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction10
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis10
Deep Variational Inference Network for Single Image Reflection Removal10
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking10
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm10
IEEE Transactions on Emerging Topics in Computational Intelligence Information for Authors10
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging10
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification10
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection10
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning9
Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework9
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm9
Evolutionary Neural Architecture Search for Transferable Networks9
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks9
BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing9
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem9
Design and Optimisations of Metal-Oxide Artificial Synaptic Device Based Machine Learning Model9
Decentralized Triggering and Event-Based Integral Reinforcement Learning for Multiplayer Differential Game Systems9
A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring9
Evolutionary Multitasking With Adaptive Cross-Dataset Knowledge Transfer for Band Selection of Hyperspectral Images9
A Multi-Task Deep Learning Framework Integrating Segmentation and Reconstruction for Lensless Imaging9
Passivity-Based Formation Control for Fractional-Order Multiagent Systems With and Without Communication Delay9
Incomplete Data Transfer Calibration Classification9
AdptGL-CA: Adaptive Global-Local Metric Fusion With Contrastive Attention for Few-Shot Learning9
Event-Sampled Adaptive Fuzzy Control of MASS via Intermittent Position Data9
Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning8
Low-Bit Mixed-Precision Quantization and Acceleration of CNN for FPGA Deployment8
Low-Light Salient Object Detection Meets the Small Size8
ISRnet: Compressed Image Inpainting Based on Generative Adversarial Network8
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation8
Joint Self-Supervised Enhancement and Denoising of Low-Light Images8
Targeted Mining Precise-Positioning Episode Rules8
Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective8
A Facile Approach To Represent Neural Network With Less Storage Space8
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents8
Sparse Graph Tensor Learning for Multi-View Spectral Clustering8
Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory8
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