A user-knowledge dynamic pattern matching process and optimization strategy based on the expert knowledge recommendation system
An improved evidence fusion algorithm in multi-sensor systems
Improved differential evolution based on multi-armed bandit for multimodal optimization problems
IM-ELPR: Influence maximization in social networks using label propagation based community structure
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings
Image generation and constrained two-stage feature fusion for person re-identification
Flexible data representation with feature convolution for semi-supervised learning
Semantic-enhanced sequential modeling for personality trait recognition from texts
Distributed dictionary learning for industrial process monitoring with big data
A new complete color normalization method for H&E stained histopatholgical images
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization
A band selection approach based on wavelet support vector machine ensemble model and membrane whale optimization algorithm for hyperspectral image
Scene graph generation by multi-level semantic tasks
A novel feature selection approach with Pareto optimality for multi-label data
Robust graph convolutional networks with directional graph adversarial training
Noise-adaptive synthetic oversampling technique
Joint sparse neural network compression via multi-application multi-objective optimization
Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation
A modification of I-SOS: performance analysis to large scale functions
Subtler mixed attention network on fine-grained image classification
A community detection algorithm based on Quasi-Laplacian centrality peaks clustering
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network
A hybrid user-based collaborative filtering algorithm with topic model
A new parameter reduction algorithm for soft sets based on chi-square test
Discovering relational and numerical expressions from plan traces for learning action models
A learning search algorithm with propagational reinforcement learning
An online multiple object tracker based on structure keeper net
Extended approach by using best–worst method on the basis of importance–necessity concept and its application
Towards data-free gating of heterogeneous pre-trained neural networks
Neural cryptography using optimal structure of neural networks
Overlapping community detection using core label propagation algorithm and belonging functions
Where do university graduates live? – A computer vision approach using satellite images
Correction to: Where do university graduates live? – a computer vision approach using satellite images
Using extended siamese networks to provide decision support in aquaculture operations
Portfolio management system in equity market neutral using reinforcement learning
ConvNet frameworks for multi-modal fake news detection
Graph-optimized coupled discriminant projections for cross-view gait recognition
A heuristic and reliable track-to-track data association approach for multi-cell track reconstruction
Tensor projection mechanism and algorithm implementation
Maximizing a deep submodular function optimization with a weighted MAX-SAT problem for trajectory clustering and motion segmentation
A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm
Feature selection accelerated convolutional neural networks for visual tracking
Multichannel environmental sound segmentation
Analysis of vertical eye movements in Parkinson’s disease and its potential for diagnosis
Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features
Using distributed ledger technology to democratize neural network training
Detecting earthquakes: a novel deep learning-based approach for effective disaster response
Modeling polypharmacy effects with heterogeneous signed graph convolutional networks
A conditional classification recurrent RBM for improved series mid-term forecasting
Joint latent low-rank and non-negative induced sparse representation for face recognition
