Neurocomputing

Papers
(The H4-Index of Neurocomputing is 86. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
On hyperparameter optimization of machine learning algorithms: Theory and practice973
A review on the attention mechanism of deep learning930
A comprehensive survey on support vector machine classification: Applications, challenges and trends763
Recent advances in deep learning for object detection520
Focal and efficient IOU loss for accurate bounding box regression425
Deep learning in video multi-object tracking: A survey385
Deep face recognition: A survey336
A comprehensive review on convolutional neural network in machine fault diagnosis280
Federated learning on non-IID data: A survey263
Pruning and quantization for deep neural network acceleration: A survey259
A systematic review of deep transfer learning for machinery fault diagnosis248
A Brief Survey on Semantic Segmentation with Deep Learning235
Multivariate time series forecasting via attention-based encoder–decoder framework230
A review on transfer learning in EEG signal analysis209
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis194
A survey: Deep learning for hyperspectral image classification with few labeled samples190
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools185
Online learning: A comprehensive survey176
Review the state-of-the-art technologies of semantic segmentation based on deep learning174
Interpretable spatio-temporal attention LSTM model for flood forecasting173
Attention mechanism-based CNN for facial expression recognition173
Activation functions in deep learning: A comprehensive survey and benchmark170
Probabilistic forecasting with temporal convolutional neural network170
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning165
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty156
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data156
Stimulus-driven and concept-driven analysis for image caption generation156
Deep learning for monocular depth estimation: A review152
A survey on U-shaped networks in medical image segmentations151
Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification142
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning142
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives137
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach132
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis132
Meta-learning for few-shot bearing fault diagnosis under complex working conditions127
Effective template update mechanism in visual tracking with background clutter127
Online continual learning in image classification: An empirical survey127
A review of irregular time series data handling with gated recurrent neural networks119
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks116
RIME: A physics-based optimization116
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications115
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction114
Hetero-Center loss for cross-modality person Re-identification114
Groundwater level prediction using machine learning models: A comprehensive review113
Survey on Deep Neural Networks in Speech and Vision Systems113
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction112
A comprehensive survey on recent metaheuristics for feature selection112
SRDiff: Single image super-resolution with diffusion probabilistic models111
JWSAA: Joint weak saliency and attention aware for person re-identification111
Dynamic network embedding survey111
A deep learning interpretable classifier for diabetic retinopathy disease grading110
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data110
Deep multi-view learning methods: A review109
A novel time series forecasting model with deep learning108
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle107
Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes105
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion102
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains102
Brain tumor segmentation with deep convolutional symmetric neural network102
Graph-based semi-supervised learning: A review100
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification99
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip99
A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks98
Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations96
Pose guided structured region ensemble network for cascaded hand pose estimation96
Explaining the black-box model: A survey of local interpretation methods for deep neural networks96
Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks96
A sequential deep learning application for recognising human activities in smart homes95
GAN-based anomaly detection: A review94
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features93
An overview of recent multi-view clustering93
Polarized self-attention: Towards high-quality pixel-wise mapping93
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption93
Short-term traffic speed forecasting based on graph attention temporal convolutional networks92
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks92
BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis92
A review of privacy-preserving techniques for deep learning90
Deep learning for variational multimodality tumor segmentation in PET/CT90
Toward effective mobile encrypted traffic classification through deep learning89
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom89
Correlational Convolutional LSTM for human action recognition88
Infrared small target detection via self-regularized weighted sparse model88
Cost-sensitive KNN classification88
Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor87
Deep learning based software defect prediction86
Deep spatio-temporal graph convolutional network for traffic accident prediction86
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation86
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN86
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