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 2020-04-01 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
Federated learning on non-IID data: A survey288
A comprehensive review on convolutional neural network in machine fault diagnosis288
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
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis195
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
Review the state-of-the-art technologies of semantic segmentation based on deep learning187
Online learning: A comprehensive survey186
Interpretable spatio-temporal attention LSTM model for flood forecasting181
Activation functions in deep learning: A comprehensive survey and benchmark181
Probabilistic forecasting with temporal convolutional neural network175
Attention mechanism-based CNN for facial expression recognition175
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
Online continual learning in image classification: An empirical survey134
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach134
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis134
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
SRDiff: Single image super-resolution with diffusion probabilistic models125
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications125
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
Deep multi-view learning methods: A review118
Hetero-Center loss for cross-modality person Re-identification118
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data116
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction114
Dynamic network embedding survey114
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction112
JWSAA: Joint weak saliency and attention aware for person re-identification112
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
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains105
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification105
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
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip100
Pose guided structured region ensemble network for cascaded hand pose estimation100
Explaining the black-box model: A survey of local interpretation methods for deep neural networks98
GAN-based anomaly detection: A review97
Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks97
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption96
A sequential deep learning application for recognising human activities in smart homes96
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features95
An overview of recent multi-view clustering95
A review of privacy-preserving techniques for deep learning93
Short-term traffic speed forecasting based on graph attention temporal convolutional networks93
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
Deep learning for variational multimodality tumor segmentation in PET/CT91
Correlational Convolutional LSTM for human action recognition91
A comprehensive survey on robust image watermarking91
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 spatio-temporal graph convolutional network for traffic accident prediction90
Toward effective mobile encrypted traffic classification through deep learning90
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
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations85
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task85
Self-adaptive loss balanced Physics-informed neural networks85
Deep convolution network based emotion analysis towards mental health care85
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