Salient object detection based on distribution-edge guidance and iterative Bayesian optimization
Multi objective programming problem in the hesitant fuzzy environment
Local keypoint-based Faster R-CNN
Elective future: The influence factor mining of students’ graduation development based on hierarchical attention neural network model with graph
Projection multi-birth support vector machinea for multi-classification
Deep spatial-temporal networks for crowd flows prediction by dilated convolutions and region-shifting attention mechanism
Particle swarm optimization based parameter selection technique for unsupervised discriminant analysis in transfer learning framework
A new re-encoding ECOC using reject option
Analysis of zig-zag scan based modified feedback convolution algorithm against differential attacks and its application to image encryption
Finding every car: a traffic surveillance multi-scale vehicle object detection method
Brain storm optimization using a slight relaxation selection and multi-population based creating ideas ensemble
An intrusion detection approach based on improved deep belief network
Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification
A novel approach for multi-cue feature fusion for robust object tracking
Predictive intelligence of reliable analytics in distributed computing environments
Effective node selection technique towards sparse learning
A recurrent neural network for urban long-term traffic flow forecasting
Generalization of Dempster–Shafer theory: A complex mass function
An improved CapsNet applied to recognition of 3D vertebral images
Improving graph-based label propagation algorithm with group partition for fraud detection
Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning
A MCMEIF-LT model for risk assessment based on linguistic terms and risk attitudes
Modeling of complex internal logic for knowledge base completion
A novel discrete whale optimization algorithm for solving knapsack problems
Is position important? deep multi-task learning for aspect-based sentiment analysis
Short term electric load forecasting using hybrid algorithm for smart cities
Query set centered sparse projection learning for set based image classification
A survey on automatic image annotation
Incremental small sphere and large margin for online recognition of communication jamming
Hierarchical graph attention networks for semi-supervised node classification
UWFP-Outlier: an efficient frequent-pattern-based outlier detection method for uncertain weighted data streams
A new hybrid stability measure for feature selection
Maximum likelihood-based influence maximization in social networks
Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition
S3D-CNN: skeleton-based 3D consecutive-low-pooling neural network for fall detection
