Editorial Board
Pose transfer generation with semantic parsing attention network for person re-identification
ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning
Layered Relative Entropy Policy Search
BNPA: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks
Emergency logistics network design based on space–time resource configuration
A dual-stream framework guided by adaptive Gaussian maps for interactive image segmentation
Incorporating prior knowledge from counterfactuals into knowledge graph reasoning
MD-MBPLS: A novel explanatory model in computational social science
Answering why-not questions on top-k augmented spatial keyword queries
ISKE: An unsupervised automatic keyphrase extraction approach using the iterated sentences based on graph method
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
EBRB cascade classifier for imbalanced data via rule weight updating
True mean value discovery over multiple data sources with unknown reliability degrees
Debugging incoherent ontology by extracting a clash module and identifying root unsatisfiable concepts
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution
In-hospital resource utilization prediction from electronic medical records with deep learning
Low-rank representation with adaptive dictionary learning for subspace clustering
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems
Support vector machines with the known feature-evolution priors
Deep Heterogeneous Network for Temporal Set Prediction
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation
CGNet: A Cascaded Generative Network for dense point cloud reconstruction from a single image
Efficient on-the-fly Web bot detection
A decision support system for grain harvesting, storage, and distribution logistics
Incorporating global multiplicative decomposition and local statistical information for brain tissue segmentation and bias field estimation
Comparison of neutrosophic approach to various deep learning models for sentiment analysis
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Multiple-element joint detection for Aspect-Based Sentiment Analysis
A data hiding scheme based on U-Net and wavelet transform
