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 2020-05-01 to 2024-05-01.)
ArticleCitations
A Survey on Neural Network Interpretability287
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification137
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization91
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 Microgrids80
Multi-Objective Feature Selection With Missing Data in Classification73
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems69
Differential Evolution With a Variable Population Size for Deployment Optimization in a UAV-Assisted IoT Data Collection System65
A Survey of Embodied AI: From Simulators to Research Tasks64
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking64
Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach62
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach60
A Review on Computational Intelligence Techniques in Cloud and Edge Computing59
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling57
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification52
Matrix-Based Evolutionary Computation52
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems52
End-to-End Detection-Segmentation System for Face Labeling48
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors47
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution45
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning45
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem44
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features43
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection42
EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules41
Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage41
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules38
Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach38
An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases37
Computational Intelligence Enabled Cybersecurity for the Internet of Things36
Efficient User Involvement in Semiautomatic Ontology Matching35
A Survey of Computational Intelligence Techniques for Air-Conditioners Energy Management35
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges35
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition35
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization34
Hardening Random Forest Cyber Detectors Against Adversarial Attacks34
Matching Algorithms: Fundamentals, Applications and Challenges34
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety34
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning33
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection32
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data31
Lip-Reading Driven Deep Learning Approach for Speech Enhancement30
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction30
Multi-Objective Data Placement for Workflow Management in Cloud Infrastructure Using NSGA-II30
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals29
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits28
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images27
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations26
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation26
Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection26
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach25
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling24
An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids23
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism23
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling23
Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition22
Design of In-Situ Learning Bidirectional Associative Memory Neural Network Circuit With Memristor Synapse22
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification22
Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty21
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis21
Human-in-the-Loop-Aided Privacy-Preserving Scheme for Smart Healthcare21
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization20
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion20
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes20
TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images20
Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems20
An End-to-End Network for Image De-Hazing and Beyond20
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification20
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data20
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet20
Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks20
Granular Symmetric Implicational Method20
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey20
Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration20
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges19
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
Unsupervised Monocular Depth Estimation in Highly Complex Environments19
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis19
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning18
Learning Class-Aligned and Generalized Domain-Invariant Representations for Speech Emotion Recognition18
Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data18
A Novel Multi-Agent Model-Free Control for State-of-Charge Balancing Between Distributed Battery Energy Storage Systems18
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning17
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training17
Using Feature Selection for Local Causal Structure Learning17
Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach17
Deep Contrastive Representation Learning With Self-Distillation17
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer17
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones17
Computational Intelligence for Information Security: A Survey16
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis16
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence16
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval15
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training15
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication15
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
Change Detection in Landsat Images Using Unsupervised Learning and RBF-Based Clustering14
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
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm14
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection14
Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms14
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation14
Explainable AI for the Choquet Integral14
Forecasting Fluctuations in the Financial Index Using a Recurrent Neural Network Based on Price Features14
Multi-Label Classification Using Binary Tree of Classifiers14
GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning13
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning13
Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT13
Quaternion Capsule Neural Network With Region Attention for Facial Expression Recognition in Color Images13
Intelligent Cache Pollution Attacks Detection for Edge Computing Enabled Mobile Social Networks13
Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement13
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data13
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems13
Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model13
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles13
PSNet: Parallel Symmetric Network for Video Salient Object Detection13
Decentralized Online Learning Methods Based on Weight-Balancing Over Time-Varying Digraphs13
A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling13
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis12
A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations12
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels12
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment12
Auxiliary Learning for Relation Extraction12
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems12
Risk Assessment of Private Information Inference for Motion Sensor Embedded IoT Devices12
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms12
A Hybrid Memetic Algorithm for the Parallel Machine Scheduling Problem With Job Deteriorating Effects12
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network12
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning12
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling12
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks11
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization11
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree11
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks11
Symbolic Sequence Classification in the Fractal Space11
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification11
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids11
A Weighted Portfolio Optimization Model Based on the Trend Ratio, Emotion Index, and ANGQTS10
A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges10
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting10
Multipath Ensemble Convolutional Neural Network10
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit10
SCA2: Novel Efficient Swarm Clustering Algorithm10
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization10
Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation10
Evolutionary Architectural Search for Generative Adversarial Networks10
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition10
Double Fourier Integral Analysis Based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation10
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach10
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars9
Brain-Inspired Spiking Neural Network Using Superconducting Devices9
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints9
Transport Management for Evacuation of Victims9
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks9
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models9
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids9
Discrete Multiplierless Implementation of Fractional Order Hindmarsh–Rose Model9
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration9
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis9
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets9
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game9
Decentralized Opportunistic Channel Access in CRNs Using Big-Data Driven Learning Algorithm8
Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification8
A Deep Integrated Framework for Predicting SARS-CoV2–Human Protein-Protein Interaction8
Anomaly Detection in Resource Constrained Environments With Streaming Data8
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human–Robot Interaction8
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer8
Outlier-Robust Moving Object and Background Decomposition via Structured ${\ell }_p$-Regularized Low-Rank Representation8
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach8
3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving8
Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints8
Multiobjective Demand Response for Internet Data Centers8
Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning8
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study8
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach8
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
On the Computational Power of Asynchronous Axon Membrane Systems7
Improving Adversarial Neural Machine Translation for Morphologically Rich Language7
WITM: Intelligent Traffic Monitoring Using Fine-Grained Wireless Signal7
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
Information Cartography in Association Rule Mining7
Some Generalized Integrals Applied in Scientometrics and Related Evaluation7
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
Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information7
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation7
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery7
Compactness Preserving Community Computation Via a Network Generative Process7
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
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks7
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement7
An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks6
Deep Reinforcement Learning Based Pricing Strategy of Aggregators Considering Renewable Energy6
Frequent Pattern Mining in Big Social Graphs6
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification6
Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices6
Identity-Preserved Complete Face Recovering Network for Partial Face Image6
Reinforcement Learning on Graphs: A Survey6
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data6
Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning6
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm6
Efficient Search and Lookup in Unstructured P2P Overlay Networks Inspired by Swarm Intelligence6
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets6
A Natural Scene Recognition Learning Based on Label Correlation6
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey6
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation6
Smart Sensor Control for Rehabilitation in Parkinson's Patients6
A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique6
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector6
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation6
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks6
On Complex Fuzzy S-Implications6
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread6
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks6
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