The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection
Deep online cross-modal hashing by a co-training mechanism
A novel evidence combination rule based on compromise conflict indicator and conflict focal element
Containment control for second-order multi-agent systems with intermittent sampled position data under directed topologies
Document-level event argument extraction with self-augmentation and a cross-domain joint training mechanism
Improving sequence labeling with labeled clue sentences
Effective fuzzy joint mutual information feature selection based on uncertainty region for classification problem
Class-imbalanced positive instances augmentation via three-line hybrid
Exposing unseen GAN-generated image using unsupervised domain adaptation
Asynchronous spiking neural P systems with rules on synapses and coupled neurons
Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum
Deep active learning models for imbalanced image classification
Robust cross-network node classification via constrained graph mutual information
Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems
Lifelong reinforcement learning with temporal logic formulas and reward machines
Heterogeneous domain adaptation by Features Normalization and Data Topology Preserving
Special Relativity Search: A novel metaheuristic method based on special relativity physics
A graph based preordonnances theoretic supervised feature selection in high dimensional data
A parameterizable influence spread-based centrality measure for influential users detection in social networks
Subgraph-based feature fusion models for semantic similarity computation in heterogeneous knowledge graphs
A data-driven Machine Learning approach to creativity and innovation techniques selection in solution development
Hard-style Selective Context Utilization for dialogue generation based on what user just said
Improving teaching–learning-based-optimization algorithm by a distance-fitness learning strategy
Channel exchange and adversarial learning guided cross-modal person re-identification
FedStack: Personalized activity monitoring using stacked federated learning
Efficient algorithms for mining closed and maximal high utility itemsets
High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data
Dynamic clustering based contextual combinatorial multi-armed bandit for online recommendation
A novel domain adaptation theory with Jensen–Shannon divergence
Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
VAERHNN: Voting-averaged ensemble regression and hybrid neural network to investigate potent leads against colorectal cancer
TECM: Transfer learning-based evidential c-means clustering
Semantic-enhanced neural collaborative filtering models in recommender systems
A two-stage cooperative evolutionary algorithm for energy-efficient distributed group blocking flow shop with setup carryover in precast systems
MobyDeep: A lightweight CNN architecture to configure models for text classification
Irregular message passing networks
TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system
Salient object detection in low-light images via functional optimization-inspired feature polishing
Link prediction in multiplex networks: An evidence theory method
An emoji-aware multitask framework for multimodal sarcasm detection
Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis
Learning compact yet accurate Generative Adversarial Networks for recommender systems
Anchor link prediction across social networks based on multiple consistency
Manifold embedded joint geometrical and statistical alignment for visual domain adaptation
Set-CNN: A text convolutional neural network based on semantic extension for short text classification
Towards comprehensive expert finding with a hierarchical matching network
Contrastive semantic disentanglement in latent space for generalized zero-shot learning
Quaternion-based knowledge graph neural network for social recommendation
ET-HF: A novel information sharing model to improve multi-agent cooperation
Randomized online edge service renting: Extending cloud-based CDN to edge environments
Learning the cross-modal discriminative feature representation for RGB-T crowd counting
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis
Symmetric transformer-based network for unsupervised image registration
Graph-regularized federated learning with shareable side information
A novel robust support vector machine classifier with feature mapping
TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures
Towards counterfactual and contrastive explainability and transparency of DCNN image classifiers
