Neurocomputing

Papers
(The TQCC of Neurocomputing is 15. 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
On hyperparameter optimization of machine learning algorithms: Theory and practice1035
A review on the attention mechanism of deep learning999
A comprehensive survey on support vector machine classification: Applications, challenges and trends797
Recent advances in deep learning for object detection538
Focal and efficient IOU loss for accurate bounding box regression468
Deep face recognition: A survey352
A comprehensive review on convolutional neural network in machine fault diagnosis288
Federated learning on non-IID data: A survey288
Pruning and quantization for deep neural network acceleration: A survey269
A systematic review of deep transfer learning for machinery fault diagnosis256
A Brief Survey on Semantic Segmentation with Deep Learning241
Multivariate time series forecasting via attention-based encoder–decoder framework234
A review on transfer learning in EEG signal analysis215
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools195
A survey: Deep learning for hyperspectral image classification with few labeled samples195
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis195
Review the state-of-the-art technologies of semantic segmentation based on deep learning187
Online learning: A comprehensive survey186
Activation functions in deep learning: A comprehensive survey and benchmark181
Interpretable spatio-temporal attention LSTM model for flood forecasting181
Attention mechanism-based CNN for facial expression recognition175
Probabilistic forecasting with temporal convolutional neural network175
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning170
Deep learning for monocular depth estimation: A review169
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty160
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data159
Stimulus-driven and concept-driven analysis for image caption generation156
A survey on U-shaped networks in medical image segmentations155
Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification147
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning146
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives143
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis134
Online continual learning in image classification: An empirical survey134
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach134
Meta-learning for few-shot bearing fault diagnosis under complex working conditions133
RIME: A physics-based optimization132
A review of irregular time series data handling with gated recurrent neural networks131
Effective template update mechanism in visual tracking with background clutter127
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications125
SRDiff: Single image super-resolution with diffusion probabilistic models125
A comprehensive survey on recent metaheuristics for feature selection124
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks122
Survey on Deep Neural Networks in Speech and Vision Systems120
Groundwater level prediction using machine learning models: A comprehensive review119
Hetero-Center loss for cross-modality person Re-identification118
Deep multi-view learning methods: A review118
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data116
Dynamic network embedding survey114
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction114
JWSAA: Joint weak saliency and attention aware for person re-identification112
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction112
A deep learning interpretable classifier for diabetic retinopathy disease grading110
A novel time series forecasting model with deep learning109
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle108
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification105
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains105
Brain tumor segmentation with deep convolutional symmetric neural network104
Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations103
Graph-based semi-supervised learning: A review102
Polarized self-attention: Towards high-quality pixel-wise mapping101
Pose guided structured region ensemble network for cascaded hand pose estimation100
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip100
Explaining the black-box model: A survey of local interpretation methods for deep neural networks98
Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks97
GAN-based anomaly detection: A review97
A sequential deep learning application for recognising human activities in smart homes96
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption96
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features95
An overview of recent multi-view clustering95
Short-term traffic speed forecasting based on graph attention temporal convolutional networks93
A review of privacy-preserving techniques for deep learning93
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks92
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom92
Correlational Convolutional LSTM for human action recognition91
A comprehensive survey on robust image watermarking91
Deep learning for variational multimodality tumor segmentation in PET/CT91
Deep spatio-temporal graph convolutional network for traffic accident prediction90
Toward effective mobile encrypted traffic classification through deep learning90
Infrared small target detection via self-regularized weighted sparse model90
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN90
Deep learning based software defect prediction89
Cost-sensitive KNN classification89
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting88
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images87
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation86
Self-adaptive loss balanced Physics-informed neural networks85
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations85
Deep convolution network based emotion analysis towards mental health care85
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task85
Hybrid neural networks for big data classification83
Integrated deep learning method for workload and resource prediction in cloud systems83
Detection of cervical cancer cells based on strong feature CNN-SVM network82
Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection81
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis80
Evolutionary deep learning: A survey80
Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties80
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels80
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition80
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE80
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images79
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification79
Short-term power load forecasting based on Elman neural network with particle swarm optimization79
Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties76
Adaptive multi-teacher multi-level knowledge distillation76
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation76
Global synchronization of fractional-order quaternion-valued neural networks with leakage and discrete delays76
Toward improving ECG biometric identification using cascaded convolutional neural networks75
Domain generalization in rotating machinery fault diagnostics using deep neural networks75
Sparse low rank factorization for deep neural network compression75
Aspect-based sentiment classification with multi-attention network74
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions74
Time series predicting of COVID-19 based on deep learning74
Robust real-time hand detection and localization for space human–robot interaction based on deep learning73
Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach73
Micro-attention for micro-expression recognition72
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction72
Building and optimization of 3D semantic map based on Lidar and camera fusion72
Multi-view spectral clustering via sparse graph learning71
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach71
Event-based fuzzy control for T-S fuzzy networked systems with various data missing71
Single underwater image enhancement by attenuation map guided color correction and detail preserved dehazing71
Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology71
A concise review of recent few-shot meta-learning methods71
Recent developments of content-based image retrieval (CBIR)70
Automatic depression recognition using CNN with attention mechanism from videos69
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview69
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting69
DEVDAN: Deep evolving denoising autoencoder69
A hybrid deep segmentation network for fundus vessels via deep-learning framework69
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection69
Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions68
A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution68
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy68
Reactive Soft Prototype Computing for Concept Drift Streams68
Multi-label transfer learning for the early diagnosis of breast cancer68
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals68
Generation and evaluation of privacy preserving synthetic health data67
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization67
Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm67
A deep learning based multitask model for network-wide traffic speed prediction67
A parallel down-up fusion network for salient object detection in optical remote sensing images67
Deep plug-and-play prior for low-rank tensor completion66
Distributed event-triggered consensus of multi-agent systems under periodic DoS jamming attacks66
Wind speed forecasting using deep neural network with feature selection66
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction66
Deep graph regularized non-negative matrix factorization for multi-view clustering66
Multi-task learning for aspect term extraction and aspect sentiment classification65
Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings65
Chinese named entity recognition: The state of the art65
Deep Neural Networks approaches for detecting and classifying colorectal polyps65
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case65
Fault detection and identification of rolling element bearings with Attentive Dense CNN64
A novel background subtraction algorithm based on parallel vision and Bayesian GANs64
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks64
The intermittent fault diagnosis of analog circuits based on EEMD-DBN64
Cooperative control for multi-player pursuit-evasion games with reinforcement learning63
Transfer learning for medical images analyses: A survey62
Multi-perspective social recommendation method with graph representation learning62
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network61
A new financial data forecasting model using genetic algorithm and long short-term memory network61
Revisiting metric learning for few-shot image classification61
A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction61
DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition61
A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals61
Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework61
Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting60
Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach60
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis60
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center60
Application of LSTM for short term fog forecasting based on meteorological elements60
A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance60
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges59
An intelligent fault diagnosis model based on deep neural network for few-shot fault diagnosis59
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet59
Swin transformer for fast MRI59
A robust approach to reading recognition of pointer meters based on improved mask-RCNN59
Decentralized adaptive neural two-bit-triggered control for nonstrict-feedback nonlinear systems with actuator failures59
An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition58
Molecular generative Graph Neural Networks for Drug Discovery58
Unsupervised anomaly segmentation via deep feature reconstruction57
Wavelet packet analysis for speaker-independent emotion recognition57
Intrusion detection approach based on optimised artificial neural network57
A survey of Deep Neural Network watermarking techniques57
Leader-following secure consensus for second-order multi-agent systems with nonlinear dynamics and event-triggered control strategy under DoS attack57
Skin disease diagnosis with deep learning: A review57
MAT: Motion-aware multi-object tracking56
Traffic flow prediction over muti-sensor data correlation with graph convolution network56
Recent advances on image edge detection: A comprehensive review56
Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network56
Classifying ASD children with LSTM based on raw videos55
EEG-based intention recognition with deep recurrent-convolution neural network: Performance and channel selection by Grad-CAM55
A new approach to smooth path planning of mobile robot based on quartic Bezier transition curve and improved PSO algorithm55
More trainable inception-ResNet for face recognition55
Q-Learning-based parameters adaptive algorithm for active disturbance rejection control and its application to ship course control55
Adaptive bias RBF neural network control for a robotic manipulator55
Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features55
Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation55
Multi-stage attention spatial-temporal graph networks for traffic prediction55
Attention based convolutional recurrent neural network for environmental sound classification55
Synthetic data generation for tabular health records: A systematic review55
Deep embedding clustering based on contractive autoencoder55
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation54
Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression54
Long- and short-term self-attention network for sequential recommendation54
Recent development in face recognition54
Ensemble learning for electricity consumption forecasting in office buildings54
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization54
Phase synchronization between a light-dependent neuron and a thermosensitive neuron54
A Time Series Transformer based method for the rotating machinery fault diagnosis54
Extract interpretability-accuracy balanced rules from artificial neural networks: A review53
A learning-based approach for surface defect detection using small image datasets53
Learning to detect Android malware via opcode sequences53
An evidential classifier based on Dempster-Shafer theory and deep learning53
New optimal method for L253
Incorporating context-relevant concepts into convolutional neural networks for short text classification52
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest52
Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis52
Learning features from enhanced function call graphs for Android malware detection52
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation52
An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition52
InfGCN: Identifying influential nodes in complex networks with graph convolutional networks52
Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network52
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG51
An SAE-based resampling SVM ensemble learning paradigm for pipeline leakage detection51
LSTM variants meet graph neural networks for road speed prediction51
Joint entity and relation extraction model based on rich semantics51
Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset51
Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control51
Graph-based few-shot learning with transformed feature propagation and optimal class allocation51
Artificial neural network analysis of the academic performance of students in virtual learning environments51
A novel context-aware multimodal framework for persian sentiment analysis50
Deep learning for brain disorder diagnosis based on fMRI images50
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition50
ResGNet-C: A graph convolutional neural network for detection of COVID-1950
CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms50
Hybrid of human learning optimization algorithm and particle swarm optimization algorithm with scheduling strategies for the flexible job-shop scheduling problem50
NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns50
Abstractive social media text summarization using selective reinforced Seq2Seq attention model50
Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN49
Discriminative feature and dictionary learning with part-aware model for vehicle re-identification49
Ultra-dense GAN for satellite imagery super-resolution49
Local distribution-based adaptive minority oversampling for imbalanced data classification49
Adaptive event-triggered consensus control of linear multi-agent systems with cyber attacks49
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images49
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions49
Finite time impulsive synchronization of fractional order memristive BAM neural networks49
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture49
A deep domain adaption model with multi-task networks for planetary gearbox fault diagnosis48
Efficient attention based deep fusion CNN for smoke detection in fog environment48
Deep learning for EEG-based biometric recognition48
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