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 2021-04-01 to 2025-04-01.)
ArticleCitations
Broad Graph Attention Network With Multiple Kernel Mechanism513
Table of Contents149
IEEE Computational Intelligence Society Information112
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling105
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information102
Progressive Feature Enhancement Network for Surface Defect Segmentation98
Genetic Programming for Malignancy Diagnosis From Breast Cancer Histopathological Images: A Feature Learning Approach97
SMC-Searcher: Signal Mediated Coordination for Decentralized Multi-Robot Adversarial Moving Target Search96
Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach With Simplified Implementation87
PCR: A Parallel Convolution Residual Network for Traffic Flow Prediction87
2021 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 577
Information for Authors77
IEEE Computational Intelligence Society Information76
Angle-Based Multi-Objective Evolutionary Algorithm Based On Pruning-Power Indicator for Game Map Generation73
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems72
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread70
Deep Learning in Physics: A Study of Dielectric Quasi-Cubic Particles in a Uniform Electric Field65
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling64
Pharmaceutical Foreign Particle Detection: An Efficient Method Based on Adaptive Convolution and Multiscale Attention54
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification54
Monitoring Social Distancing With Single Image Depth Estimation52
An Intelligent Fuzzy System Based on the Optimization of Ecological Agriculture Areas52
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism51
Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning50
Evo-Panel: Dynamic Visualization Tool for Optimization Process50
StreamSoNG: A Soft Streaming Classification Approach50
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning50
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning47
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation44
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model44
Learning Sparse Neural Networks Using Non-Convex Regularization43
Event-Based Deep Reinforcement Learning for Quantum Control42
RACFIS: A New Rapid Adaptive Complex Fuzzy Inference System for Regression Modelling42
SafeCool: Safe and Energy-Efficient Cooling Management in Data Centers With Model-Based Reinforcement Learning41
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification40
Self-Supervised Pretraining Based on Noise-Free Motion Reconstruction and Semantic-Aware Contrastive Learning for Human Motion Prediction40
SiamDMU: Siamese Dual Mask Update Network for Visual Object Tracking38
A Lightweight Multimode Medical Image Fusion Method Using Similarity Measure Between Intuitionistic Fuzzy Sets Joint Laplacian Pyramid37
Reinforcement Learning on Graphs: A Survey37
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images36
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion35
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks35
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data35
FSNet: A Hybrid Model for Seasonal Forecasting34
An Evolutionary Multitasking Method for High-Dimensional Receiver Operating Characteristic Convex Hull Maximization34
Effective Single-Step Adversarial Training With Energy-Based Models34
An Evolving Preference-Based Recommendation System33
Node Classification in Weighted Complex Networks Using Neighborhood Feature Similarity33
More Practical Coupled Neural Network Systems Under Event-Triggered Impulsive Control: A Novel Study Approach32
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization32
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages32
Cross-Device OCTA Generation by Patch-Based 3D Multi-Scale Feature Adaption31
Deep Variational Inference Network for Single Image Reflection Removal30
Clickbait Detection via Prompt-Tuning With Titles Only30
Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data29
Fuzzy Composite Learning Control of Uncertain Fractional-Order Nonlinear Systems Using Disturbance Observer29
An Indicator-Based Many-Objective Evolutionary Algorithm With Adaptive Reference Points Assisted by Growing Neural Gas Network29
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data29
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification29
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering29
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach29
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs29
Spatial Temporal Aggregation for Efficient Continuous Sign Language Recognition28
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection28
Prescribed-Time Optimal Consensus for Switched Stochastic Multiagent Systems: Reinforcement Learning Strategy28
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm27
Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack27
AutoMPQ: Automatic Mixed-Precision Neural Network Search via Few-Shot Quantization Adapter27
From Discrete Representation to Continuous Modeling: A Novel Audio-Visual Saliency Prediction Model With Implicit Neural Representations27
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features26
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series26
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm26
MA-MFCNet: Mixed Attention-Based Multi-Scale Feature Calibration Network for Image Dehazing26
OccludedInst: An Efficient Instance Segmentation Network for Automatic Driving Occlusion Scenes26
Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale25
Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering25
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks25
LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition24
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach24
Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring24
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations24
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization24
PEAC-HNF: A Novel Multi-Objective Evolutionary Algorithm for Split Delivery Vehicle Routing With Three-Dimensional Loading Constraints24
Object-Aware Image Augmentation for Audio-Visual Zero-Shot Learning24
Discriminative Learning in the Model Space for Symbolic Sequence Classification23
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models23
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data23
Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression23
Smart Sensor Control for Rehabilitation in Parkinson's Patients23
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety22
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model21
Dual Completion Learning for Incomplete Multi-View Clustering21
Feature Autonomous Screening and Sequence Integration Network for Medical Image Classification21
A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds21
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites21
Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset20
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective20
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding20
Graph Structure Learning With Automatic Search of Hyperparameters Based on Genetic Programming20
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification20
Intensive Class Imbalance Learning in Drifting Data Streams20
Game-Theoretic Expert Importance Evaluation Model Guided by Cooperation Effects for Social Network Group Decision Making20
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training19
Recent Advances of Computational Intelligence Techniques for Composing Music19
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement19
Differentiable Architecture Search With Attention Mechanisms for Generative Adversarial Networks19
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications19
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis19
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI19
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints19
Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning19
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement19
A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems18
Exploring Abnormal Behavior in Swarm: Identify User Using Adversarial Examples18
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization18
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking18
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection18
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps18
Quaternion Capsule Neural Network With Region Attention for Facial Expression Recognition in Color Images18
Evolutionary Multitasking With Self-Learning and Multi-Scale Transfer for Point Cloud Registration17
Deep Learning Quantitative Susceptibility Mapping With Reduced Training Time Based on Local Field Transformation17
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive17
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement17
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images16
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration16
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization16
AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks16
A Tunable Framework for Joint Trade-Off Between Accuracy and Multi-Norm Robustness16
Self-Supervised Medical Adversarial Robustness With Two-Stage Contrastive Constraints16
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition16
A Novel Immune Algorithm for Multiparty Multiobjective Optimization16
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction16
Multi-View Adjacency-Constrained Hierarchical Clustering16
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey15
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning15
Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency15
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey15
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer15
FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection With Fuzzy Mutual Information15
The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++15
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach15
Predicting Side Effect of Drug Molecules Using Recurrent Neural Networks15
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation15
Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization15
MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System15
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes15
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling15
Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation14
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification14
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction14
Table of Contents14
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space14
Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution14
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones14
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems14
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals14
Fine-Grained Graph Learning for Multi-View Subspace Clustering14
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis14
(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network13
Self-Consistent Learning of Neural Dynamical Systems From Noisy Time Series13
Table of Contents13
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification13
IEEE Transactions on Emerging Topics in Computational Intelligence13
Pedestrian Re-Identification Algorithm Based on Multivariate Manifold Metric-Anti-Noise Manifold Space Learning13
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder13
Multi-Domain Active Learning: Literature Review and Comparative Study13
IEEE Transactions on Emerging Topics in Computational Intelligence Publication Information13
Evolving Fuzzy Prediction Intervals in Nonstationary Environments12
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge12
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids12
Deep Image Feature Learning With Fuzzy Rules12
A Novel Fuzzy Feature Generation Approach for Happiness Prediction12
A Sequential Three-Way Decision-Based Group Consensus Method With Regret Theory Under Interval Multi-Scale Decision Information Systems12
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game12
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition12
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems12
Mutually Adaptable Learning12
Enhancing Low-Density EEG-Based Brain-Computer Interfacing With Similarity-Keeping Knowledge Distillation12
Verifiable Privacy-Preserving Image Retrieval in Multi-Owner Multi-User Settings12
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification12
Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation12
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application12
Identity-Preserved Complete Face Recovering Network for Partial Face Image12
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm12
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning12
Memristor-Based CNNs for Detecting Stress Using Brain Imaging Signals11
On Complex Fuzzy S-Implications11
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means11
A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network11
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks11
Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning11
Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art11
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis11
Reservoir Network With Structural Plasticity for Human Activity Recognition11
Semi-Fragile Neural Network Watermarking Based on Adversarial Examples11
A Multi-Task Deep Learning Framework Integrating Segmentation and Reconstruction for Lensless Imaging11
Chance-Constrained Abnormal Data Cleaning for Robust Classification With Noisy Labels11
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data11
Enhanced Self-Attention Mechanism for Long and Short Term Sequential Recommendation Models11
Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection11
Switched Neural Networks for Simultaneous Learning of Multiple Functions10
A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems10
Decentralized Triggering and Event-Based Integral Reinforcement Learning for Multiplayer Differential Game Systems10
WLR-Net: An Improved YOLO-V7 With Edge Constraints and Attention Mechanism for Water Leakage Recognition in the Tunnel10
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem10
Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System10
GT-WHAR: A Generic Graph-Based Temporal Framework for Wearable Human Activity Recognition With Multiple Sensors10
Evolutionary Multitasking Local Community Detection on Attributed Networks10
Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks10
News-MESI: A Dataset for Multimodal News Excerpt Segmentation and Identification10
Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework10
Local Dimming for Video Based on an Improved Surrogate Model Assisted Evolutionary Algorithm10
Surrogate-Assisted Differential Evolution for Wave Energy Converters Optimization10
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure10
Unsupervised Low-Light Image Enhancement via Luminance Mask and Luminance-Independent Representation Decoupling10
Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction10
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning10
Incomplete Data Transfer Calibration Classification9
Learning the Color Space for Effective Fabric Defect Detection9
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss9
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction9
Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks9
Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning9
Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach9
MS-CLS: An Effective Partitioning and Placement Metaheuristic for Wafer-Scale Physics Modeling9
Evolutionary Multi-Task Optimization With Adaptive Intensity of Knowledge Transfer9
Differentiable Collaborative Patches for Neural Scene Representations9
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification9
BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing9
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning9
Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading Quantification9
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation9
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models9
Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem9
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures9
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model8
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets8
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach8
BAUODNET for Class Imbalance Learning in Underwater Object Detection8
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition8
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios8
Significance of Anatomical Constraints in Virtual Try-On8
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions8
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network8
Self-Supervised Adaptive Illumination Estimation for Low-Light Image Enhancement8
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging8
Multi-Screen Adaptive Displaying With Augmented Reality Manipulation Based on the Internet of People8
Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning8
GAA: Ghost Adversarial Attack for Object Tracking8
Bayesian Inference of Hidden Markov Models Through Probabilistic Boolean Operations in Spiking Neuronal Networks8
0.089854001998901