Efficient mining of concept-hierarchy aware distinguishing sequential patterns
Research on data consistency detection method based on interactive matching under sampling background
Vehicle trajectory prediction considering aleatoric uncertainty
Relation extraction for manufacturing knowledge graphs based on feature fusion of attention mechanism and graph convolution network
RGB-D mutual guidance for semi-supervised defocus blur detection
Self-Configured Framework for scalable link prediction in twitter: Towards autonomous spark framework
Multiview feature augmented neural network for knowledge graph embedding
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce
A Two-channel model for relation extraction using multiple trained word embeddings
VLSG-SANet: A feature matching algorithm for remote sensing image registration
WSNet: A local–global consistent traffic density estimation method based on weakly supervised learning
Cross-domain image translation with a novel style-guided diversity loss design
A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
Event-triggered bipartite synchronization of coupled multi-order fractional neural networks
Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty
CMAFGAN: A Cross-Modal Attention Fusion based Generative Adversarial Network for attribute word-to-face synthesis
Stochastic cubic-regularized policy gradient method
SkeletonPose: Exploiting human skeleton constraint for 3D human pose estimation
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction
An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory
Clustering of noised and heterogeneous multi-view data with graph learning and projection decomposition
A unified total variation method for underwater image enhancement
Collaborative annealing power k-means++ clustering
DeleSmell: Code smell detection based on deep learning and latent semantic analysis
An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data
A comprehensive overview of knowledge graph completion
AMAM: An Attention-based Multimodal Alignment Model for Medical Visual Question Answering
Piecewise parameterization for multifactor uncertain system and uncertain inventory-promotion optimization
On decision-making strategies for improved-reliability size reduction of microwave passives: Intermittent correction of equality constraints and adaptive handling of inequality constraints
Federated low-rank tensor projections for sequential recommendation
A motion-appearance-aware network for object change detection
Dual-stream cross-modality fusion transformer for RGB-D action recognition
Evolving ensembles using multi-objective genetic programming for imbalanced classification
A prior-guided deep network for real image denoising and its applications
A novel hybrid model combining a fuzzy inference system and a deep learning method for short-term traffic flow prediction
Imbalanced multiclass classification with active learning in strip rolling process
Unifying multi-associations through hypergraph for bundle recommendation
A modified CRITIC with a reference point based on fuzzy logic and hamming distance
Collaborative representation learning for nodes and relations via heterogeneous graph neural network
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
A semi-supervised label-driven auto-weighted strategy for multi-view data classification
LUEM : Local User Engagement Maximization in Networks
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Counterfactual inference graph network for disease prediction
TFDPM: Attack detection for cyber–physical systems with diffusion probabilistic models
ETCD: An effective machine learning based technique for cardiac disease prediction with optimal feature subset selection
Feature selection based on robust fuzzy rough sets using kernel-based similarity and relative classification uncertainty measures
DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer
A novel method for point cloud completion: Adaptive region shape fusion network
Fixed/Preassigned-time synchronization of high-dimension-valued fuzzy neural networks with time-varying delays via nonseparation approach
Multigroup spatial shift models for thermal infrared tracking
Local Learning-based Multi-task Clustering
