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 2020-04-01 to 2024-04-01.)
ArticleCitations
A Survey on Neural Network Interpretability270
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification135
Random Walks: A Review of Algorithms and Applications114
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization89
Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective86
A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids77
Multi-Objective Feature Selection With Missing Data in Classification73
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems68
Differential Evolution With a Variable Population Size for Deployment Optimization in a UAV-Assisted IoT Data Collection System62
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking62
A Survey of Embodied AI: From Simulators to Research Tasks59
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach58
A Review on Computational Intelligence Techniques in Cloud and Edge Computing57
Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach57
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling53
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems52
Matrix-Based Evolutionary Computation52
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification49
End-to-End Detection-Segmentation System for Face Labeling48
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors45
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning44
Complex-Valued Neural Networks With Nonparametric Activation Functions43
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features43
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution42
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem41
Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage41
EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules40
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection40
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules38
An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases37
Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach37
Efficient User Involvement in Semiautomatic Ontology Matching35
Computational Intelligence Enabled Cybersecurity for the Internet of Things35
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety34
Matching Algorithms: Fundamentals, Applications and Challenges34
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges34
A Survey of Computational Intelligence Techniques for Air-Conditioners Energy Management33
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning33
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization32
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition32
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data31
Hardening Random Forest Cyber Detectors Against Adversarial Attacks31
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection31
Multi-Objective Data Placement for Workflow Management in Cloud Infrastructure Using NSGA-II30
A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation30
Lip-Reading Driven Deep Learning Approach for Speech Enhancement29
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction29
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals28
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations26
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images26
Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection26
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits26
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach23
An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids23
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling23
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification22
HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain–Computer Interface22
Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition22
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism22
Design of In-Situ Learning Bidirectional Associative Memory Neural Network Circuit With Memristor Synapse22
Human-in-the-Loop-Aided Privacy-Preserving Scheme for Smart Healthcare21
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling21
Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty20
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation20
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion20
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data20
TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images20
Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks20
Community Preserving Network Embedding Based on Memetic Algorithm20
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis20
Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems20
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization20
Granular Symmetric Implicational Method20
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes20
Unsupervised Monocular Depth Estimation in Highly Complex Environments19
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey19
Unbalanced Incomplete Multi-View Clustering Via the Scheme of View Evolution: Weak Views are Meat; Strong Views Do Eat19
Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation19
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet19
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis19
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data18
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges18
Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration18
A Novel Multi-Agent Model-Free Control for State-of-Charge Balancing Between Distributed Battery Energy Storage Systems18
An End-to-End Network for Image De-Hazing and Beyond18
Learning Class-Aligned and Generalized Domain-Invariant Representations for Speech Emotion Recognition17
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning17
Using Feature Selection for Local Causal Structure Learning17
Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach17
Computational Intelligence for Information Security: A Survey16
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones16
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification16
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training16
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis16
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval15
Attributes Guided Feature Learning for Vehicle Re-Identification15
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization15
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching15
A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids15
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence15
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning15
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication14
Change Detection in Landsat Images Using Unsupervised Learning and RBF-Based Clustering14
Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms14
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer14
Explainable AI for the Choquet Integral14
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training14
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm14
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation14
STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks14
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective14
Multi-Label Classification Using Binary Tree of Classifiers13
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data13
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model13
Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement13
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems13
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling13
Intelligent Cache Pollution Attacks Detection for Edge Computing Enabled Mobile Social Networks13
Decentralized Online Learning Methods Based on Weight-Balancing Over Time-Varying Digraphs13
Quaternion Capsule Neural Network With Region Attention for Facial Expression Recognition in Color Images13
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection12
Risk Assessment of Private Information Inference for Motion Sensor Embedded IoT Devices12
Auxiliary Learning for Relation Extraction12
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems12
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning12
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features12
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis12
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles12
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning12
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT12
A Hybrid Memetic Algorithm for the Parallel Machine Scheduling Problem With Job Deteriorating Effects12
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm12
PSNet: Parallel Symmetric Network for Video Salient Object Detection11
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms11
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks11
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment11
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning11
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree11
A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations11
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification11
Deep Contrastive Representation Learning With Self-Distillation11
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network11
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks11
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling11
Evolutionary Architectural Search for Generative Adversarial Networks10
SCA2: Novel Efficient Swarm Clustering Algorithm10
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels10
Learning Automata Based Competition Scheme to Train Deep Neural Networks10
A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges10
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach10
Multipath Ensemble Convolutional Neural Network10
A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS10
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars10
Symbolic Sequence Classification in the Fractal Space10
Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation10
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model9
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition9
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids9
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization9
Transport Management for Evacuation of Victims9
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization9
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit9
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis9
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting9
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game9
System Network Complexity: Network Evolution Subgraphs of System State Series9
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration9
Brain-Inspired Spiking Neural Network Using Superconducting Devices9
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation9
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids9
3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving8
Optimization for Deep Convolutional Neural Networks: How Slim Can It Go?8
Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints8
Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification8
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach8
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study8
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints8
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human–Robot Interaction8
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation8
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models8
Anomaly Detection in Resource Constrained Environments With Streaming Data8
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer8
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets8
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach8
Multiobjective Demand Response for Internet Data Centers8
On the Computational Power of Asynchronous Axon Membrane Systems7
Decentralized Opportunistic Channel Access in CRNs Using Big-Data Driven Learning Algorithm7
Improving Adversarial Neural Machine Translation for Morphologically Rich Language7
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning7
Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information7
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks7
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning7
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification7
Neural Network Training for Uncertainty Quantification Over Time-Range7
Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network7
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation7
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks7
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement7
Information Cartography in Association Rule Mining7
Some Generalized Integrals Applied in Scientometrics and Related Evaluation7
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization7
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder7
Learning Sparse Neural Networks Using Non-Convex Regularization7
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images7
Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network7
Compactness Preserving Community Computation Via a Network Generative Process7
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