Neurocomputing

Article	Citations
On hyperparameter optimization of machine learning algorithms: Theory and practice	1101
A review on the attention mechanism of deep learning	1073
A comprehensive survey on support vector machine classification: Applications, challenges and trends	841
Recent advances in deep learning for object detection	564
Focal and efficient IOU loss for accurate bounding box regression	516
Deep face recognition: A survey	364
Federated learning on non-IID data: A survey	305
A comprehensive review on convolutional neural network in machine fault diagnosis	302
Pruning and quantization for deep neural network acceleration: A survey	280
A systematic review of deep transfer learning for machinery fault diagnosis	267
A Brief Survey on Semantic Segmentation with Deep Learning	257
Multivariate time series forecasting via attention-based encoder–decoder framework	242
A review on transfer learning in EEG signal analysis	226
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools	216
Activation functions in deep learning: A comprehensive survey and benchmark	205
Review the state-of-the-art technologies of semantic segmentation based on deep learning	203
A survey: Deep learning for hyperspectral image classification with few labeled samples	201
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis	198
Online learning: A comprehensive survey	196
Interpretable spatio-temporal attention LSTM model for flood forecasting	189
Attention mechanism-based CNN for facial expression recognition	185
Probabilistic forecasting with temporal convolutional neural network	182
Deep learning for monocular depth estimation: A review	179
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning	176
RIME: A physics-based optimization	169

Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty	166
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data	165
A survey on U-shaped networks in medical image segmentations	158
Stimulus-driven and concept-driven analysis for image caption generation	156
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives	156
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning	149
Online continual learning in image classification: An empirical survey	144
SRDiff: Single image super-resolution with diffusion probabilistic models	142
Meta-learning for few-shot bearing fault diagnosis under complex working conditions	141
A review of irregular time series data handling with gated recurrent neural networks	140
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis	135
A comprehensive survey on recent metaheuristics for feature selection	134
Groundwater level prediction using machine learning models: A comprehensive review	131
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications	128
Effective template update mechanism in visual tracking with background clutter	127
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks	126
Survey on Deep Neural Networks in Speech and Vision Systems	125
Deep multi-view learning methods: A review	125
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data	120
Dynamic network embedding survey	116
A deep learning interpretable classifier for diabetic retinopathy disease grading	115
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction	114
A novel time series forecasting model with deep learning	114
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction	114
JWSAA: Joint weak saliency and attention aware for person re-identification	113
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification	113
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains	110
Polarized self-attention: Towards high-quality pixel-wise mapping	109
Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations	108
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle	108
Graph-based semi-supervised learning: A review	107
Brain tumor segmentation with deep convolutional symmetric neural network	106
GAN-based anomaly detection: A review	105
Pose guided structured region ensemble network for cascaded hand pose estimation	102
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip	101
Explaining the black-box model: A survey of local interpretation methods for deep neural networks	101
A sequential deep learning application for recognising human activities in smart homes	99
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption	99
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN	98
An overview of recent multi-view clustering	98
Deep spatio-temporal graph convolutional network for traffic accident prediction	97
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features	97
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom	96
A comprehensive survey on robust image watermarking	95
Self-adaptive loss balanced Physics-informed neural networks	95
Short-term traffic speed forecasting based on graph attention temporal convolutional networks	94
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks	94
Correlational Convolutional LSTM for human action recognition	93
Toward effective mobile encrypted traffic classification through deep learning	92
Deep learning for variational multimodality tumor segmentation in PET/CT	92

Infrared small target detection via self-regularized weighted sparse model	92
Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection	91
Cost-sensitive KNN classification	91
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images	90
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting	90
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations	88
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation	87
Evolutionary deep learning: A survey	87
Deep convolution network based emotion analysis towards mental health care	86
Hybrid neural networks for big data classification	86
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task	85
Integrated deep learning method for workload and resource prediction in cloud systems	84
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE	83
Detection of cervical cancer cells based on strong feature CNN-SVM network	83
Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties	83
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis	83
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification	82
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images	82
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels	82
Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties	82
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition	81
Short-term power load forecasting based on Elman neural network with particle swarm optimization	81
Domain generalization in rotating machinery fault diagnostics using deep neural networks	81
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation	80
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach	79
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction	79
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions	78
A concise review of recent few-shot meta-learning methods	78
Time series predicting of COVID-19 based on deep learning	77
Sparse low rank factorization for deep neural network compression	77
Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology	76
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection	76
Adaptive multi-teacher multi-level knowledge distillation	76
Aspect-based sentiment classification with multi-attention network	76
Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach	75
Toward improving ECG biometric identification using cascaded convolutional neural networks	75
Building and optimization of 3D semantic map based on Lidar and camera fusion	75
Robust real-time hand detection and localization for space human–robot interaction based on deep learning	74
Micro-attention for micro-expression recognition	73
Single underwater image enhancement by attenuation map guided color correction and detail preserved dehazing	72
Reactive Soft Prototype Computing for Concept Drift Streams	72
Event-based fuzzy control for T-S fuzzy networked systems with various data missing	72
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview	71
Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm	71
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting	71
Recent developments of content-based image retrieval (CBIR)	70
A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution	70
Multi-label transfer learning for the early diagnosis of breast cancer	70
A hybrid deep segmentation network for fundus vessels via deep-learning framework	70
Chinese named entity recognition: The state of the art	70
Generation and evaluation of privacy preserving synthetic health data	69
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction	69
Wind speed forecasting using deep neural network with feature selection	69
Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions	69
Distributed event-triggered consensus of multi-agent systems under periodic DoS jamming attacks	69
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization	69
Automatic depression recognition using CNN with attention mechanism from videos	69
DEVDAN: Deep evolving denoising autoencoder	69
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals	69
Deep plug-and-play prior for low-rank tensor completion	68
Fault detection and identification of rolling element bearings with Attentive Dense CNN	68
Multi-task learning for aspect term extraction and aspect sentiment classification	68
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy	68
A parallel down-up fusion network for salient object detection in optical remote sensing images	67
A deep learning based multitask model for network-wide traffic speed prediction	67
The intermittent fault diagnosis of analog circuits based on EEMD-DBN	67
Transfer learning for medical images analyses: A survey	67
A novel background subtraction algorithm based on parallel vision and Bayesian GANs	67
Deep graph regularized non-negative matrix factorization for multi-view clustering	67
Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings	66
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks	66
Deep Neural Networks approaches for detecting and classifying colorectal polyps	65
A new financial data forecasting model using genetic algorithm and long short-term memory network	65
Multi-perspective social recommendation method with graph representation learning	65
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case	65
Swin transformer for fast MRI	63
DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition	63
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center	63
Cooperative control for multi-player pursuit-evasion games with reinforcement learning	63
Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework	63

An intelligent fault diagnosis model based on deep neural network for few-shot fault diagnosis	63
A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction	62
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis	62
Molecular generative Graph Neural Networks for Drug Discovery	62
A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance	62
A Time Series Transformer based method for the rotating machinery fault diagnosis	62
Application of LSTM for short term fog forecasting based on meteorological elements	61
Revisiting metric learning for few-shot image classification	61
A survey of Deep Neural Network watermarking techniques	61
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network	61
Intrusion detection approach based on optimised artificial neural network	61
A robust approach to reading recognition of pointer meters based on improved mask-RCNN	61
A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals	61
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet	60
Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach	60
Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting	60
Skin disease diagnosis with deep learning: A review	60
Recent advances on image edge detection: A comprehensive review	60
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges	60
Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network	60
Deep embedding clustering based on contractive autoencoder	59
Unsupervised anomaly segmentation via deep feature reconstruction	59
An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition	59
An evidential classifier based on Dempster-Shafer theory and deep learning	59
Synthetic data generation for tabular health records: A systematic review	59
Decentralized adaptive neural two-bit-triggered control for nonstrict-feedback nonlinear systems with actuator failures	59
Leader-following secure consensus for second-order multi-agent systems with nonlinear dynamics and event-triggered control strategy under DoS attack	59
Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation	58
MAT: Motion-aware multi-object tracking	58
Traffic flow prediction over muti-sensor data correlation with graph convolution network	58
Classifying ASD children with LSTM based on raw videos	57
Adaptive bias RBF neural network control for a robotic manipulator	57
Q-Learning-based parameters adaptive algorithm for active disturbance rejection control and its application to ship course control	57
Wavelet packet analysis for speaker-independent emotion recognition	57
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression	57
More trainable inception-ResNet for face recognition	56
InfGCN: Identifying influential nodes in complex networks with graph convolutional networks	56
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization	56
Multi-stage attention spatial-temporal graph networks for traffic prediction	56
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by Grad-CAM	56
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation	56
A learning-based approach for surface defect detection using small image datasets	56
Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features	56
Hybrid of human learning optimization algorithm and particle swarm optimization algorithm with scheduling strategies for the flexible job-shop scheduling problem	55
Attention based convolutional recurrent neural network for environmental sound classification	55
A new approach to smooth path planning of mobile robot based on quartic Bezier transition curve and improved PSO algorithm	55
New optimal method for L2	55
Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network	55
Recent development in face recognition	55
Long- and short-term self-attention network for sequential recommendation	55
An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition	54
Learning features from enhanced function call graphs for Android malware detection	54
Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis	54
Joint entity and relation extraction model based on rich semantics	54
Ensemble learning for electricity consumption forecasting in office buildings	54
Graph-based few-shot learning with transformed feature propagation and optimal class allocation	54
Phase synchronization between a light-dependent neuron and a thermosensitive neuron	54
Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset	54
Learning to detect Android malware via opcode sequences	53
CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms	53
NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns	53
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation	53
An SAE-based resampling SVM ensemble learning paradigm for pipeline leakage detection	52
Deep learning for brain disorder diagnosis based on fMRI images	52
Solving differential equations using deep neural networks	52
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition	52
MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma	52
Local distribution-based adaptive minority oversampling for imbalanced data classification	52
ResGNet-C: A graph convolutional neural network for detection of COVID-19	52
Online multi-object tracking with unsupervised re-identification learning and occlusion estimation	52
LSTM variants meet graph neural networks for road speed prediction	52
Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series	52
Classification of electromyographic hand gesture signals using machine learning techniques	52
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest	52
Artificial neural network analysis of the academic performance of students in virtual learning environments	52
Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control	51
A survey of crowd counting and density estimation based on convolutional neural network	51
Efficient attention based deep fusion CNN for smoke detection in fog environment	51
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG	51
Optimization of capacitated vehicle routing problem with alternative delivery, pick-up and time windows: A modified hybrid approach	51
Activity recognition and anomaly detection in smart homes	51
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images	51
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions	50
Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN	50
Abstractive social media text summarization using selective reinforced Seq2Seq attention model	50
A review of neural architecture search	50
A novel transferability attention neural network model for EEG emotion recognition	50
Ultra-dense GAN for satellite imagery super-resolution	50
TIPCB: A simple but effective part-based convolutional baseline for text-based person search	50
A novel context-aware multimodal framework for persian sentiment analysis	50
Discriminative feature and dictionary learning with part-aware model for vehicle re-identification	50
Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval	50
A deep domain adaption model with multi-task networks for planetary gearbox fault diagnosis	49
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism	49
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture	49