Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition
Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs
Predict industrial equipment failure with time windows and transfer learning
A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction
Pseudo-parallel chaotic self-learning antelope migration algorithm based on mobility models
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
Cross-modality person re-identification via channel-based partition network
C-CADZ: computational intelligence system for coronary artery disease detection using Z-Alizadeh Sani dataset
A new method for positive and unlabeled learning with privileged information
Predicting viewer’s watching behavior and live streaming content change for anchor recommendation
Finder: A novel approach of change point detection for multivariate time series
Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties
Self attention mechanism of bidirectional information enhancement
Frequent itemset hiding revisited: pushing hiding constraints into mining
An efficient chaos based image encryption algorithm using enhanced thorp shuffle and chaotic convolution function
Multilayer neural network based asymptotic motion control of saturated uncertain robotic manipulators
Many-objective optimization for large-scale EVs charging and discharging schedules considering travel convenience
Context augmentation for object detection
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm
A PL-MCDM Method based on the Decision-Making Reliability of Multi-Group for Patients with Chronic Diseases Requiring Downward Referral
Trustworthiness two-way games via margin policy in e-commerce platforms
An attention network via pronunciation, lexicon and syntax for humor recognition
An automatic hyperparameter optimization DNN model for precipitation prediction
Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems
Social velocity based spatio-temporal anomalous daily activity discovery of social media users
Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues
Real-time detector design for small targets based on bi-channel feature fusion mechanism
Infrared target tracking based on proximal robust principal component analysis method
Hybrid spatial-spectral feature in broad learning system for Hyperspectral image classification
Single image super-resolution using global enhanced upscale network
Multi-label classifier for protein sequence using heuristic-based deep convolution neural network
ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification
A novel dynamic graph evolution network for salient object detection
Multilayer feature fusion with parallel convolutional block for fine-grained image classification
A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
A new multi-feature fusion based convolutional neural network for facial expression recognition
PBDE: an effective post-processing method based on box density for object detection
Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems
Common-possible concept analysis: A granule description viewpoint
Cross-domain person re-identification by hybrid supervised and unsupervised learning
Explainable deep neural networks for novel viral genome prediction
Dynamic pedestrian trajectory forecasting with LSTM-based Delaunay triangulation
An adaptive parallel algorithm for finite language decomposition
An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network
A novel dense capsule network based on dense capsule layers
Multi-stage attention and center triplet loss for person re-identication
MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification
OGM: Online gaussian graphical models on the fly
Unified model for collective and point anomaly detection using stacked temporal convolution networks
