Editorial Board
Subspace clustering via adaptive least square regression with smooth affinities
SPR: Similarity pairwise ranking for personalized recommendation
MOLS-Net: Multi-organ and lesion segmentation network based on sequence feature pyramid and attention mechanism for aortic dissection diagnosis
A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample
Self-attention neural architecture search for semantic image segmentation
A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast
An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information
Optimal synthesis of mechanisms using repellency evolutionary algorithm
Brightness-gradient difference feature guided shadow removal method
An ensemble learning method based on deep neural network and group decision making
Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms
Ontology-aware dynamically adaptable free-form natural language agent interface for querying databases
Easy Domain Adaptation for cross-subject multi-view emotion recognition
An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration
Combining max–min ant system with effective local search for solving the maximum set k-covering problem
DNN compression by ADMM-based joint pruning
Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout
An adaptive and general model for label noise detection using relative probabilistic density
Continuous temporal network embedding by modeling neighborhood propagation process
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
CFs-focused intelligent diagnosis scheme via alternative kernels networks with soft squeeze-and-excitation attention for fast-precise fault detection under slow & sharp speed variations
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
An online portfolio strategy based on trend promote price tracing ensemble learning algorithm
CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding
Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios
Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design
QLogicE: Quantum Logic Empowered Embedding for Knowledge Graph Completion
MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords
Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification
Privacy-preserving indoor localization based on inner product encryption in a cloud environment
An efficient method for mining sequential patterns with indices
Hybrid SOM based cross-modal retrieval exploiting Hebbian learning
Synchronization of multiple neural networks with reaction–diffusion terms under cyber–physical attacks
LSTM based decision support system for swing trading in stock market
Multi-local Collaborative AutoEncoder
Biased unconstrained non-negative matrix factorization for clustering
Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications
PulseNet: A multitask learning network for remote heart rate estimation
PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting
Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
Personalized Knowledge Distillation for Recommender System
Semi-supervised NPC segmentation with uncertainty and attention guided consistency
Benchmark construction and experimental evaluations for incoherent ontologies
Publication classification prediction via citation attention fusion based on dynamic relations
Association Rules Enhanced Knowledge Graph Attention Network
Deep learning for missing value imputation of continuous data and the effect of data discretization
A new weakly supervised strategy for surgical tool detection
Feature separation and double causal comparison loss for visible and infrared person re-identification
Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller’s human errors
Smart-VPoseNet: 3D human pose estimation models and methods based on multi-view discriminant network
Disagreement-based class incremental random forest for sensor-based activity recognition
The automatic design of parameter adaptation techniques for differential evolution with genetic programming
Dual constraints and adversarial learning for fair recommenders
Multi-label modality enhanced attention based self-supervised deep cross-modal hashing
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine
