Editorial Board
The Stochastic Augmented Lagrangian method for domain adaptation
Leveraging bilingual-view parallel translation for code-switched emotion detection with adversarial dual-channel encoder
An auction based task dispatching and pricing mechanism in bike-sharing
A process-oriented probabilistic linguistic decision-making model with unknown attribute weights
A bilevel whale optimization algorithm for risk management scheduling of information technology projects considering outsourcing
Enabling the interpretability of pretrained venue representations using semantic categories
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network
PSATop-k: Approximate range top-k computation on big data
MICE: Mining Idioms with Contextual Embeddings
Dynamic Levy Flight Chimp Optimization
A social commerce purchasing decision model with trust network and item review information
Multi-view spectral clustering by simultaneous consensus graph learning and discretization
Explainability in supply chain operational risk management: A systematic literature review
Robust active representation via ℓ2,p-norm constraints
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning
An efficient differential evolution algorithm based on orthogonal learning and elites local search mechanisms for numerical optimization
A priori-guided multi-layer rain-aware network for single image deraining
An enhanced black widow optimization algorithm for feature selection
Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection
SParseQA: Sequential word reordering and parsing for answering complex natural language questions over knowledge graphs
Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling
Manifold-based aggregation clustering for unsupervised vehicle re-identification
PathReasoner: Explainable reasoning paths for commonsense question answering
A bivariate Bayesian method for interval-valued regression models
Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings
Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Exploring more diverse network architectures for single image super-resolution
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention
Low-resource extraction with knowledge-aware pairwise prototype learning
Forecasting price movements of global financial indexes using complex quantitative financial networks
Searching Target Communities with Outliers in attributed graph
Decoupled self-supervised label augmentation for fully-supervised image classification
Intrinsic dimension estimation method based on correlation dimension and kNN method
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude
From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data
Virtual sensing techniques for nonlinear dynamic processes using weighted probability dynamic dual-latent variable model and its industrial applications
LSTM-SNP: A long short-term memory model inspired from spiking neural P systems
Strategy optimization of weighted networked evolutionary games with switched topologies and threshold
A self-adaptive weighted differential evolution approach for large-scale feature selection
Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization
A new two-layer nearest neighbor selection method for kNN classifier
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Solving an EPQ model with doubt fuzzy set: A robust intelligent decision-making approach
Video sentiment analysis with bimodal information-augmented multi-head attention
Renewable quantile regression for streaming datasets
Subspace alignment based on an extreme learning machine for electronic nose drift compensation
Certificateless anti-quantum ring signcryption for network coding
Semi-supervised consensus clustering based on closed patterns
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism
Graph-based multi-label disease prediction model learning from medical data and domain knowledge
How can dense results be differentiated in comprehensive evaluations? A hybrid information filtering model
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding
Contextual sentiment embeddings via bi-directional GRU language model
Self-calibrated driver gaze estimation via gaze pattern learning
One model packs thousands of items with Recurrent Conditional Query Learning
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models
Multi-view informed attention-based model for Irony and Satire detection in Spanish variants
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
