Editorial Board
Efficient semantic place categorization by a robot through active line-of-sight selection
Multi-view learning with distinguishable feature fusion for rumor detection
Performance Analysis of Fault Tolerance Algorithm for Pattern Formation of Swarm Agents
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves
A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters
Cross-knowledge-graph entity alignment via relation prediction
DPER: Direct Parameter Estimation for Randomly missing data
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss
High-order autoencoder with data augmentation for collaborative filtering
Information retrieval and question answering: A case study on COVID-19 scientific literature
A combinatorial optimization approach for multi-label associative classification
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models
Cyber threat prediction using dynamic heterogeneous graph learning
GAR-Net: A Graph Attention Reasoning Network for conversation understanding
Holistic Graph Neural Networks based on a global-based attention mechanism
Evaluating regression algorithms at the instance level using item response theory
Transfer learning for regression via latent variable represented conditional distribution alignment
Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme
Multiscale feature fusion for surveillance video diagnosis
STV-BEATS: Skip Thought Vector and Bi-Encoder based Automatic Text Summarizer
Meta-features for meta-learning
Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer
How to take advantage of behavioral features for the early detection of grooming in online conversations
Gated attention fusion network for multimodal sentiment classification
JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Optimization-based robustness enhancement of compact microwave component designs with response feature regression surrogates
Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis
Dominant color component and adaptive whale optimization algorithm for multilevel thresholding of color images
A structure similarity based adaptive sampling method for time-dependent graph embedding
Multicriteria semi-supervised hyperspectral band selection based on evolutionary multitask optimization
TNE: A general time-aware network representation learning framework for temporal applications
Heterogeneous information network embedding based on multiperspective metapath for question routing
Condition-based optimization of non-identical inspection intervals for a k-out-of-n load sharing system with hybrid mixed redundancy strategy
Multi-level knowledge distillation for low-resolution object detection and facial expression recognition
Few-shot activity learning by dual Markov logic networks
Reduction of large-scale graphs: Effective edge shedding at a controllable ratio under resource constraints
Continual learning classification method with the weighted k-nearest neighbor rule for time-varying data space based on the artificial immune system
IISD: Integrated Interaction Subgraph Detection for event mining
Unsupervised feature selection via self-paced learning and low-redundant regularization
A dual-operator strategy for a multiobjective evolutionary algorithm based on decomposition
Novel fuzzy rank discrimination measures for monotonic ordinal feature selection
Graph transformer network with temporal kernel attention for skeleton-based action recognition
Double-Branch Dehazing Network based on Self-Calibrated Attentional Convolution
Balancing coverage and specificity for semantic labelling of subject columns
Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm
1-Dimensional Polynomial Neural Networks for audio signal related problems
Adaptive density peaks clustering: Towards exploratory EEG analysis
TBSM: A traffic burst-sensitive model for short-term prediction under special events
Elementary discourse units with sparse attention for multi-label emotion classification
A novel risk-control model for the online portfolio selection of high-frequency transactions
Deep sparse representation network for feature learning of vibration signals and its application in gearbox fault diagnosis
Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems
Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX
XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification
SoFTNet: A concept-controlled deep learning architecture for interpretable image classification
