IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computational Intelligence is 6. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A Survey on Neural Network Interpretability379
A Survey of Embodied AI: From Simulators to Research Tasks92
A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids92
Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective90
Multi-Objective Feature Selection With Missing Data in Classification87
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking79
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems78
A Review on Computational Intelligence Techniques in Cloud and Edge Computing73
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling69
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation61
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution60
Matrix-Based Evolutionary Computation59
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification56
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors55
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem53
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection52
Deep Contrastive Representation Learning With Self-Distillation50
End-to-End Detection-Segmentation System for Face Labeling47
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization45
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning44
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals44
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features44
EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules42
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition40
An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases39
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules38
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety37
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection37
Matching Algorithms: Fundamentals, Applications and Challenges35
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction34
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling34
Efficient User Involvement in Semiautomatic Ontology Matching33
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification33
Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty32
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data32
Lip-Reading Driven Deep Learning Approach for Speech Enhancement31
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet31
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm30
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits30
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling29
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges29
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis28
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey28
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images28
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis28
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism27
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations26
Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition26
A Novel Multi-Agent Model-Free Control for State-of-Charge Balancing Between Distributed Battery Energy Storage Systems25
An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids25
An End-to-End Network for Image De-Hazing and Beyond24
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning24
Human-in-the-Loop-Aided Privacy-Preserving Scheme for Smart Healthcare24
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization24
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication23
Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks23
Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation23
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat23
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning23
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes23
Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems23
Design of In-Situ Learning Bidirectional Associative Memory Neural Network Circuit With Memristor Synapse23
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems22
Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach22
PSNet: Parallel Symmetric Network for Video Salient Object Detection21
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training21
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning21
Granular Symmetric Implicational Method21
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification21
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data21
Attributes Guided Feature Learning for Vehicle Re-Identification20
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones20
TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images20
Unsupervised Monocular Depth Estimation in Highly Complex Environments20
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching20
A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids20
Explainable AI for the Choquet Integral19
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer19
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation18
STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks18
Multi-Label Classification Using Binary Tree of Classifiers18
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training18
Evolutionary Architectural Search for Generative Adversarial Networks18
Change Detection in Landsat Images Using Unsupervised Learning and RBF-Based Clustering18
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach17
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT17
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization17
Using Feature Selection for Local Causal Structure Learning17
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling17
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids17
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features17
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval16
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning16
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis16
Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement16
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels16
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence16
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints16
A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges15
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network15
Reinforcement Learning on Graphs: A Survey15
A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS15
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review15
A Robust Real-Time Anchor-Free Traffic Sign Detector With One-Level Feature15
Quaternion Capsule Neural Network With Region Attention for Facial Expression Recognition in Color Images15
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit15
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition15
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms15
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification15
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling15
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis15
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection14
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment14
Decentralized Online Learning Methods Based on Weight-Balancing Over Time-Varying Digraphs14
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles14
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems14
Auxiliary Learning for Relation Extraction13
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game13
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation13
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks13
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data13
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems13
A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems13
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study13
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning13
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model13
A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations12
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids12
Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration12
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer12
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement12
Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation12
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation11
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks11
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning11
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets11
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification11
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting11
Symbolic Sequence Classification in the Fractal Space11
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm11
Brain-Inspired Spiking Neural Network Using Superconducting Devices11
Compactness Preserving Community Computation Via a Network Generative Process11
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree11
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization11
3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving11
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks11
Anomaly Detection in Resource Constrained Environments With Streaming Data10
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models10
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning10
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks10
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model10
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration10
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars10
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification10
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach10
Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning10
Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information10
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis10
SCA2: Novel Efficient Swarm Clustering Algorithm10
Multipath Ensemble Convolutional Neural Network10
Deep Reinforcement Learning Based Pricing Strategy of Aggregators Considering Renewable Energy9
Neural Network Training for Uncertainty Quantification Over Time-Range9
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder9
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks9
A Deep Integrated Framework for Predicting SARS-CoV2–Human Protein-Protein Interaction9
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach9
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation9
Multi-View Adjacency-Constrained Hierarchical Clustering9
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization9
Multimodal Sentiment Recognition With Multi-Task Learning9
Transport Management for Evacuation of Victims9
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector8
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation8
Evolutionary Neural Architecture Search for Facial Expression Recognition8
Wavelet-Based Self-Attention GAN With Collaborative Feature Fusion for Image Inpainting8
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm8
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization8
Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission8
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach8
V-PCC Projection Based Blind Point Cloud Quality Assessment for Compression Distortion8
Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices8
Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images8
Frequent Pattern Mining in Big Social Graphs8
Decentralized Opportunistic Channel Access in CRNs Using Big-Data Driven Learning Algorithm8
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation8
Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification8
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis8
Multiobjective Demand Response for Internet Data Centers8
A Community-Aware Framework for Social Influence Maximization8
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution8
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data8
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning7
Learning Adaptive Differential Evolution by Natural Evolution Strategies7
RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images7
Some Generalized Integrals Applied in Scientometrics and Related Evaluation7
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images7
Identity-Preserved Complete Face Recovering Network for Partial Face Image7
Event-Triggered Adaptive Fuzzy PI Control of Uncertain Fractional-Order Nonlinear Systems With Full-State Constraints7
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation7
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images7
An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training7
Information Cartography in Association Rule Mining7
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning7
A Natural Scene Recognition Learning Based on Label Correlation7
Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network7
Learning Sparse Neural Networks Using Non-Convex Regularization7
Smart Sensor Control for Rehabilitation in Parkinson's Patients7
An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks7
Improved Differentiable Architecture Search With Multi-Stage Progressive Partial Channel Connections7
VTST: Efficient Visual Tracking With a Stereoscopic Transformer7
A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation7
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery7
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets7
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding7
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread7
A Lightweight Multimode Medical Image Fusion Method Using Similarity Measure Between Intuitionistic Fuzzy Sets Joint Laplacian Pyramid7
Deep Gradual-Conversion and Cycle Network for Single-View Synthesis6
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak6
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning6
Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems6
Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge6
Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments6
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey6
Modulating STDP With Back-Propagated Error Signals to Train SNNs for Audio Classification6
ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value6
A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations6
Multi-Domain Active Learning: Literature Review and Comparative Study6
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems6
TDM: Trustworthy Decision-Making Via Interpretability Enhancement6
Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN)6
A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique6
A Deep 1-D CNN and Bidirectional LSTM Ensemble Model With Arbitration Mechanism for LDDoS Attack Detection6
Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts6
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems6
On Complex Fuzzy S-Implications6
Recent Advances of Computational Intelligence Techniques for Composing Music6
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