Editorial Board
SmartPrognosis: Automatic ensemble classification for quantitative EEG analysis in patients resuscitated from cardiac arrest
Multiple adversarial networks for unsupervised domain adaptation
A classification framework for multivariate compositional data with Dirichlet feature embedding
Service skill improvement for home robots: Autonomous generation of action sequence based on reinforcement learning
A discrete method for the initialization of semi-discrete optimal transport problem
Variance reduced optimization with implicit gradient transport
Effective and unburdensome forecast of highway traffic flow with adaptive computing
Multi-class imbalanced big data classification on Spark
On the class overlap problem in imbalanced data classification
Moth Swarm Algorithm for Image Contrast Enhancement
A dynamic sampling algorithm based on learning automata for stochastic trust networks
Hierarchical Independence Thresholding for learning Bayesian network classifiers
Decomposing word embedding with the capsule network
A novel Whale Optimization Algorithm integrated with Nelder–Mead simplex for multi-objective optimization problems
Unsupervised domain adaptation for person re-identification with iterative soft clustering
AutoML: A survey of the state-of-the-art
Partial multi-label learning with mutual teaching
A multi-objective linear threshold influence spread model solved by swarm intelligence-based methods
Incomplete multi-view clustering with partially mapped instances and clusters
Multimodal deep fusion for image question answering
Multi-label feature selection with constraint regression and adaptive spectral graph
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
End-to-end LDA-based automatic weak signal detection in web news
Leveraging unstructured call log data for customer churn prediction
Deep attributed network representation learning of complex coupling and interaction
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
A sampling method based on distributed learning automata for solving stochastic shortest path problem
A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism
Weighted automata sequence kernel: Unification and generalization
A real-time explainable traffic collision inference framework based on probabilistic graph theory
NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework
A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement
Aspect-level sentiment analysis based on gradual machine learning
Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions
Multi-generator GAN learning disconnected manifolds with mutual information
A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making
A novel sequential three-way decision model with autonomous error correction
Backtracking search algorithm with specular reflection learning for global optimization
ASRNN: A recurrent neural network with an attention model for sequence labeling
DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
Dual attention-based method for occluded person re-identification
High-accuracy health prediction of sensor systems using improved relevant vector-machine ensemble regression
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization
CaSe4SR: Using category sequence graph to augment session-based recommendation
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory
Knowledge graph embedding by translating in time domain space for link prediction
Exploiting non-taxonomic relations for measuring semantic similarity and relatedness in WordNet
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions
Population-based gradient descent weight learning for graph coloring problems
A fast parallel attribute reduction algorithm using Apache Spark
Incremental attribute reduction approaches for ordered data with time-evolving objects
FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis
SNF–CVAE: Computational method to predict drug–disease interactions using similarity network fusion and collective variational autoencoder
Hierarchical regression framework for multi-fidelity modeling
Understanding the game behavior with sentiment and unequal status in cooperation network
An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss
Data-driven decision model based on dynamical classifier selection
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Citywide traffic speed prediction: A geometric deep learning approach
Approximate high utility itemset mining in noisy environments
Output-based transfer learning in genetic programming for document classification
A modified teaching–learning-based optimization algorithm for solving optimization problem
