Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations
A hybrid discriminant embedding with feature selection: application to image categorization
An effective dynamic spatiotemporal framework with external features information for traffic prediction
Collaborative attention neural network for multi-domain sentiment classification
Modeling low- and high-order feature interactions with FM and self-attention network
Hierarchical correlation siamese network for real-time object tracking
A co-training method based on entropy and multi-criteria
A new efficient decision making algorithm based on interval-valued fuzzy soft set
Mixture of experts with convolutional and variational autoencoders for anomaly detection
Feature selection based on term frequency deviation rate for text classification
Novel metaheuristic based on multiverse theory for optimization problems in emerging systems
A many-objective optimized task allocation scheduling model in cloud computing
Mask-guided SSD for small-object detection
Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault diagnosis
Sentiment analysis for customer relationship management: an incremental learning approach
Recommending content using side information
Multi-label classification by formulating label-specific features from simultaneous instance level and feature level
Lung cancer detection using enhanced segmentation accuracy
An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm
A new multi-task learning method with universum data
Low-rank and sparse matrix factorization with prior relations for recommender systems
STA-Net: spatial-temporal attention network for video salient object detection
Research on image Inpainting algorithm of improved GAN based on two-discriminations networks
Batch mode active learning via adaptive criteria weights
Correction to: Batch mode active learning via adaptive criteria weights
Multi-scale spatiotemporal graph convolution network for air quality prediction
Usr-mtl: an unsupervised sentence representation learning framework with multi-task learning
An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa
Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild
Clothing fashion style recognition with design issue graph
An improved limited random walk approach for identification of overlapping communities in complex networks
Fast, yet robust end-to-end camera pose estimation for robotic applications
Research progress of zero-shot learning
An empirical study of ensemble techniques for software fault prediction
Brain-computer interface for human-multirobot strategic consensus with a differential world model
Ultrarobust support vector registration
Non-spike timing-dependent plasticity learning mechanism for memristive neural networks
A comparative approach on detecting multi-lingual and multi-oriented text in natural scene images
An improved approach to generate generalized basic probability assignment based on fuzzy sets in the open world and its application in multi-source information fusion
Variable selection for linear regression in large databases: exact methods
Exploiting ontology information in fuzzy SVM social media profile classification
Toward perfect neural cascading architecture for grammatical error correction
A hybrid ant colony system algorithm for solving the ring star problem
Adaptively weighted decomposition based multi-objective evolutionary algorithm
Supervised learning model for identifying illegal activities in Bitcoin
Cross-covariance based affinity for graphs
Core-guided method for constraint-based multi-objective combinatorial optimization
IOSUDA: an unsupervised domain adaptation with input and output space alignment for joint optic disc and cup segmentation
Feature selection with multi-objective genetic algorithm based on a hybrid filter and the symmetrical complementary coefficient
A rule-based heuristic algorithm for joint order batching and delivery planning of online retailers with multiple order pickers
