Editorial Board
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time
MCLA: Research on cumulative learning of Markov Logic Network
roadscene2vec: A tool for extracting and embedding road scene-graphs
Improving complex knowledge base question answering via structural information learning
Locally weighted factorization machine with fuzzy partition for elderly readmission prediction
Deep metric learning for accurate protein secondary structure prediction
Natural language understanding for argumentative dialogue systems in the opinion building domain
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression
Cooperative Refinement Learning for domain adaptive person Re-identification
Broad-learning recurrent Hermite neural control for unknown nonlinear systems
Group non-convex sparsity regularized partially shared dictionary learning for multi-view learning
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting
A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines
Interval valued demand and prepayment-based inventory model for perishable items via parametric approach of interval and meta-heuristic algorithms
Ant colony optimization with a new exploratory heuristic information approach for open shop scheduling problem
Equalization ensemble for large scale highly imbalanced data classification
Knowledge-guided two-stage memetic search for the pickup and delivery traveling salesman problem with FIFO loading
A nondestructive automatic defect detection method with pixelwise segmentation
Coarse-to-fine dual-level attention for video-text cross modal retrieval
Fusion of spectral and prosody modelling for multilingual speech emotion conversion
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees
Multistrategy boosted multicolony whale virtual parallel optimization approaches
Refining pseudo labels for unsupervised Domain Adaptive Re-Identification
Prediction of wind turbine blade icing fault based on selective deep ensemble model
THINK: A novel conversation model for generating grammatically correct and coherent responses
Snake Optimizer: A novel meta-heuristic optimization algorithm
Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations
A span-sharing joint extraction framework for harvesting aspect sentiment triplets
LC3Net: Ladder context correlation complementary network for salient object detection
Learning a robust classifier for short-term traffic state prediction
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity
Rule mining over knowledge graphs via reinforcement learning
A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization
A novel discrete firefly algorithm for Bayesian network structure learning
Part-Wise AtlasNet for 3D point cloud reconstruction from a single image
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations
An ensemble extended belief rule base decision model for imbalanced classification problems
Accurate policy detection and efficient knowledge reuse against multi-strategic opponents
A knowledge infused context driven dialogue agent for disease diagnosis using hierarchical reinforcement learning
MOTEO: A novel physics-based multiobjective thermal exchange optimization algorithm to design truss structures
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender
Link prediction in weighted networks via motif predictor
A Linearly Adaptive Sine–Cosine Algorithm with Application in Deep Neural Network for Feature Optimization in Arrhythmia Classification using ECG Signals
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime
A data-driven evolutionary algorithm with multi-evolutionary sampling strategy for expensive optimization
A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
A residual convolutional neural network based approach for real-time path planning
MultiEmo: Multi-task framework for emoji prediction
Real noise image adjustment networks for saliency-aware stylistic color retouch
Transferring Inter-Class Correlation for Teacher–Student frameworks with flexible models
Handling imbalanced datasets through Optimum-Path Forest
A quantitative argumentation-based Automated eXplainable Decision System for fake news detection on social media
Not all datasets are born equal: On heterogeneous tabular data and adversarial examples
An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Federated Neural Collaborative Filtering
