SGCNet: Scale-aware and global contextual network for crowd counting
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
Spatio-temporal stacking model for skeleton-based action recognition
Competitive search algorithm: a new method for stochastic optimization
NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition
Learning bi-grained cross-correlation siamese networks for visual tracking
HRANet: Hierarchical region-aware network for crowd counting
An Inverted Residual based Lightweight Network for Object Detection in Sweeping Robots
Two-stage anomaly detection algorithm via dynamic community evolution in temporal graph
OBM-CNN: a new double-stream convolutional neural network for shield pattern segmentation in ancient oracle bones
Dual-attention guided multi-scale network for single image super-resolution
STGs: construct spatial and temporal graphs for citywide crowd flow prediction
Multi-object tracking based on network flow model and ORB feature
Cognitive fuzzy preference relations and its applications in decision-making
Wrapper feature selection with partially labeled data
Similarity-based second chance autoencoders for textual data
Word representation using refined contexts
A new mechanism of rule acquisition based on covering rough sets
Partial label learning with noisy side information
Web attack detection based on traps
Geometric algebra graph neural network for cross-domain few-shot classification
A multi-criteria decision-making model for hotel selection by online reviews: Considering the traveller types and the interdependencies among criteria
A comparative study of Chinese named entity recognition with different segment representations
Multimodal and multi-objective optimization algorithm based on two-stage search framework
An efficient discrete differential evolution algorithm based on community structure for influence maximization
SDA-Net: a detector for small, densely distributed, and arbitrary-directional ships in remote sensing images
Efficient photorealistic style transfer with multi-order image statistics
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
SA-FPN: An effective feature pyramid network for crowded human detection
Coarse-fine point cloud registration based on local point-pair features and the iterative closest point algorithm
An improved Henry gas solubility optimization algorithm based on Lévy flight and Brown motion
Video-based vehicle re-identification via channel decomposition saliency region network
A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems
Many-objective optimization based path planning of multiple UAVs in oilfield inspection
Fast multi-view twin hypersphere support vector machine with consensus and complementary principles
CSA-GAN: Cyclic synthesized attention guided generative adversarial network for face synthesis
Semi-supervised node classification via graph learning convolutional neural network
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
A novel entity joint annotation relation extraction model
Hybrid handcrafted and learned feature framework for human action recognition
Broadcast news story segmentation using sticky hierarchical dirichlet process
Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle
Self-updating continual learning classification method based on artificial immune system
ARFP: A novel adaptive recursive feature pyramid for object detection in aerial images
Efficient channel expansion and pyramid depthwise-pointwise-depthwise neural networks
Investigating the multi-objective optimization of quality and efficiency using deep reinforcement learning
Self-adaptive DE algorithm without niching parameters for multi-modal optimization problems
Novel method for optimizing performance in resource constrained distributed data streams
Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
Rethinking the framework constructed by counterfactual functional model
