Editorial Board
TimeCLR: A self-supervised contrastive learning framework for univariate time series representation
Video-guided machine translation via dual-level back-translation
Aspect-level sentiment classification based on attention-BiLSTM model and transfer learning
Tensor approximate entropy: An entropy measure for sleep scoring
Deep semi-supervised learning with contrastive learning and partial label propagation for image data
Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy
Resampling algorithms based on sample concatenation for imbalance learning
Towards secure and practical machine learning via secret sharing and random permutation
Improving probability selection based weights for satisfiability problems
A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection
An online algorithm for scheduling big data analysis jobs in cloud environments
Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning
Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition
Clickbait detection on WeChat: A deep model integrating semantic and syntactic information
Generating customer’s credit behavior with deep generative models
Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization
Harmful algal bloom warning based on machine learning in maritime site monitoring
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data
Particle ranking: An Efficient Method for Multi-Objective Particle Swarm Optimization Feature Selection
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification
KNN weighted reduced universum twin SVM for class imbalance learning
Partial multi-label learning based on sparse asymmetric label correlations
Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows
Bilateral discriminative autoencoder model orienting co-representation learning
From concept drift to model degradation: An overview on performance-aware drift detectors
An intelligent decision support system for the accurate diagnosis of cervical cancer
Subsampling for partial least-squares regression via an influence function
Soft labeling constraint for generalizing from sentiments in single domain
