Visual tracking via dynamic saliency discriminative correlation filter
Data imputation via conditional generative adversarial network with fuzzy c mean membership based loss term
A novel spatiotemporal attention enhanced discriminative network for video salient object detection
Support vector machine classification over encrypted data
An improved bagging ensemble surrogate-assisted evolutionary algorithm for expensive many-objective optimization
An improved Henry gas solubility optimization for optimization tasks
A novel personalized recommendation algorithm by exploiting individual trust and item’s similarities
A robust unsupervised anomaly detection framework
Deep neural network for beam hardening artifacts removal in image reconstruction
A joint model based on interactive gate mechanism for spoken language understanding
A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture
Margin attribute reductions for multi-label classification
Asymmetry label correlation for multi-label learning
Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies
Distractor-aware visual tracking using hierarchical correlation filters adaptive selection
Few-shot contrastive learning for image classification and its application to insulator identification
Context-aware pyramid attention network for crowd counting
Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism
Personalized recommendation with knowledge graph via dual-autoencoder
Global contextual guided residual attention network for salient object detection
Non-intrusive load monitoring method with inception structured CNN
Variable neighborhood search for a planning problem with resource constraints in a health simulation center
Adversarial example detection based on saliency map features
Fuzzy clustering algorithm for outlier-interval data based on the robust exponent distance
Inference during reading: multi-label classification for text with continuous semantic units
Intelligent neighbor selection for efficient query routing in unstructured P2P networks using Q-learning
WDIBS: Wasserstein deterministic information bottleneck for state abstraction to balance state-compression and performance
The identity-level angular triplet loss for cross-age face recognition
Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Lightweight network architecture using difference saliency maps for facial action unit detection
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
A polynomial kernel neural network classifier based on random sampling and information gain
Machine learning techniques to predict different levels of hospital care of CoVid-19
TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system
Analytics of high average-utility patterns in the industrial internet of things
An approach of classifiers fusion based on hierarchical modifications
Imbalanced data classification based on improved EIWAPSO-AdaBoost-C ensemble algorithm
An approach of Bursty event detection in social networks based on topological features
A referenceless image degradation perception method based on the underwater imaging model
Latent multi-view self-representations for clustering via the tensor nuclear norm
Ant colony algorithm with Stackelberg game and multi-strategy fusion
Image captioning with adaptive incremental global context attention
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model
Video representation learning by identifying spatio-temporal transformations
Ennoble class topper optimization algorithm based fuzzy PI-PD controller for micro-grid
Self-adaptive nonoverlapping sequential pattern mining
Generalized eigenvalue extreme learning machine for classification
Modeling adaptive empathy based on neutral assessment: a way to enhance the prosocial behaviors of socialized agents under the premise of self-security
BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples
Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation
