Editorial Board
One step at a time: An efficient approach to query-based ontology debugging
A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains
Engineering uncertain time for its practical integration in ontologies
Network-based dimensionality reduction of high-dimensional, low-sample-size datasets
Scalable semantic-enhanced supervised hashing for cross-modal retrieval
Negative pattern discovery with individual support
Prediction of the driver’s focus of attention based on feature visualization of a deep autonomous driving model
JointMatcher: Numerically-aware entity matching using pre-trained language models with attention concentration
A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems
An opinion dynamics model for unrelated discrete opinions
On the form of parsed sentences for relation extraction
Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network
Log-based sparse nonnegative matrix factorization for data representation
Markov clustering ensemble
Time enhanced graph neural networks for session-based recommendation
Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
A new metaheuristic optimization based on K-means clustering algorithm and its application to structural damage identification
HADA: An automated tool for hardware dimensioning of AI applications
LELNER: A Lightweight and Effective Low-resource Named Entity Recognition model
Multi-label active learning through serial–parallel neural networks
Dynamically induced clustering ant colony algorithm based on a coevolutionary chain
Deep alternating non-negative matrix factorisation
Dynamic sparse portfolio rebalancing model: A perspective of investors’ behavior-related decisions
An adaptable, high-performance relation extraction system for complex sentences
GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction
Transferring model structure in Bayesian transfer learning for Gaussian process regression
Cross-granularity multi-task network for ischemia diagnosis and defect detection in the myocardial perfusion imaging
Evolutionary neural architecture search based on evaluation correction and functional units
SW: A weighted space division framework for imbalanced problems with label noise
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification
Robust collaborative clustering approach with adaptive local structure learning
Heterogeneous graph neural network for attribute completion
Boosting RGB-D salient object detection with adaptively cooperative dynamic fusion network
Behavior segmentation of electricity consumption patterns: A cluster analytical approach
Kaplan–Meier Markov network: Learning the distribution of market price by censored data in online advertising
Graph-ICF: Item-based collaborative filtering based on graph neural network
Multi streams with dynamic balancing-based Conditional Generative Adversarial Network for paired image generation
slr-kit: A semi-supervised machine learning framework for systematic literature reviews
Provable convergence of Nesterov’s accelerated gradient method for over-parameterized neural networks
Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data
An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters
FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference
Semi-supervised feature selection via adaptive structure learning and constrained graph learning
Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation
CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation
Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition
MGRank: A keyword extraction system based on multigraph GoW model and novel edge weighting procedure
Auto-weighted low-rank representation for clustering
Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation
A line-segment-based non-maximum suppression method for accurate object detection
A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems
Multi-level out-of-vocabulary words handling approach
Scene graph generation with award-punishment strategy
Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid
Learning to rank complex network node based on the self-supervised graph convolution model
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples
Regularized discriminative broad learning system for image classification
Four-player GroupGAN for weak expression recognition via latent expression magnification
Relational tree ensembles and feature rankings
Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction
Multi-relational graph attention networks for knowledge graph completion
An efficient algorithm for isometrically embedding weighted trees into low-dimensional ℓ∞-normed spaces
Exploiting temporal coherence for self-supervised visual tracking by using vision transformer
Graph convolutional networks in language and vision: A survey
Dual-stream Reciprocal Disentanglement Learning for domain adaptation person re-identification
Haze transfer and feature aggregation network for real-world single image dehazing
Hierarchical classification for account code suggestion
Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization
A supervised case-based reasoning approach for explainable thyroid nodule diagnosis
Exploring post-hoc agnostic models for explainable cooking recipe recommendations
Temporal knowledge graph question answering via subgraph reasoning
Temporal knowledge graph representation learning with local and global evolutions
Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs
