Neurocomputing

Papers
(The H4-Index of Neurocomputing is 85. 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
On hyperparameter optimization of machine learning algorithms: Theory and practice1101
A review on the attention mechanism of deep learning1073
A comprehensive survey on support vector machine classification: Applications, challenges and trends841
Recent advances in deep learning for object detection564
Focal and efficient IOU loss for accurate bounding box regression516
Deep face recognition: A survey364
Federated learning on non-IID data: A survey305
A comprehensive review on convolutional neural network in machine fault diagnosis302
Pruning and quantization for deep neural network acceleration: A survey280
A systematic review of deep transfer learning for machinery fault diagnosis267
A Brief Survey on Semantic Segmentation with Deep Learning257
Multivariate time series forecasting via attention-based encoder–decoder framework242
A review on transfer learning in EEG signal analysis226
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools216
Activation functions in deep learning: A comprehensive survey and benchmark205
Review the state-of-the-art technologies of semantic segmentation based on deep learning203
A survey: Deep learning for hyperspectral image classification with few labeled samples201
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis198
Online learning: A comprehensive survey196
Interpretable spatio-temporal attention LSTM model for flood forecasting189
Attention mechanism-based CNN for facial expression recognition185
Probabilistic forecasting with temporal convolutional neural network182
Deep learning for monocular depth estimation: A review179
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning176
RIME: A physics-based optimization169
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty166
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data165
A survey on U-shaped networks in medical image segmentations158
Stimulus-driven and concept-driven analysis for image caption generation156
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives156
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning149
Online continual learning in image classification: An empirical survey144
SRDiff: Single image super-resolution with diffusion probabilistic models142
Meta-learning for few-shot bearing fault diagnosis under complex working conditions141
A review of irregular time series data handling with gated recurrent neural networks140
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis135
A comprehensive survey on recent metaheuristics for feature selection134
Groundwater level prediction using machine learning models: A comprehensive review131
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications128
Effective template update mechanism in visual tracking with background clutter127
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks126
Survey on Deep Neural Networks in Speech and Vision Systems125
Deep multi-view learning methods: A review125
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data120
Dynamic network embedding survey116
A deep learning interpretable classifier for diabetic retinopathy disease grading115
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction114
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction114
A novel time series forecasting model with deep learning114
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification113
JWSAA: Joint weak saliency and attention aware for person re-identification113
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains110
Polarized self-attention: Towards high-quality pixel-wise mapping109
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle108
Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations108
Graph-based semi-supervised learning: A review107
Brain tumor segmentation with deep convolutional symmetric neural network106
GAN-based anomaly detection: A review105
Pose guided structured region ensemble network for cascaded hand pose estimation102
Explaining the black-box model: A survey of local interpretation methods for deep neural networks101
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip101
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption99
A sequential deep learning application for recognising human activities in smart homes99
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN98
An overview of recent multi-view clustering98
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features97
Deep spatio-temporal graph convolutional network for traffic accident prediction97
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom96
Self-adaptive loss balanced Physics-informed neural networks95
A comprehensive survey on robust image watermarking95
Short-term traffic speed forecasting based on graph attention temporal convolutional networks94
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks94
Correlational Convolutional LSTM for human action recognition93
Infrared small target detection via self-regularized weighted sparse model92
Toward effective mobile encrypted traffic classification through deep learning92
Deep learning for variational multimodality tumor segmentation in PET/CT92
Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection91
Cost-sensitive KNN classification91
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting90
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images90
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations88
Evolutionary deep learning: A survey87
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation87
Deep convolution network based emotion analysis towards mental health care86
Hybrid neural networks for big data classification86
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task85
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