Editorial Board
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells
Robust probability model based on variational Bayes for point set registration
An intermediary utility-based service search and structure organization approach in service-oriented MAS
A neural network framework for fine-grained tropical cyclone intensity prediction
Joint-attention feature fusion network and dual-adaptive NMS for object detection
DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration
Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images
Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label
Unified medical image segmentation by learning from uncertainty in an end-to-end manner
AdaBoost-based transfer learning method for positive and unlabelled learning problem
Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times
Fast forest fire smoke detection using MVMNet
Parallel fish migration optimization with compact technology based on memory principle for wireless sensor networks
Differential evolution with two-level adaptive mechanism for numerical optimization
Robust low-rank representation via residual projection for image classification
Automatic repetition instruction generation for air traffic control training using multi-task learning with an improved copy network
A novel temporal recommendation method based on user query topic evolution
Dynamic knowledge graph reasoning based on deep reinforcement learning
Multi-label feature selection based on label correlations and feature redundancy
Spatial concept learning and inference on geospatial polygon data
Deep neural network compression by Tucker decomposition with nonlinear response
Fuzzy filter cost-sensitive feature selection with differential evolution
Multi-view self-attention networks
Improving PageRank using sports results modeling
Two density-based sampling approaches for imbalanced and overlapping data
A heap-based algorithm with deeper exploitative feature for optimal allocations of distributed generations with feeder reconfiguration in power distribution networks
Time-interval temporal patterns can beat and explain the malware
Self-paced non-convex regularized analysis–synthesis dictionary learning for unsupervised feature selection
Artificial bee colony algorithm with efficient search strategy based on random neighborhood structure
A unified Link Prediction architecture applied on a novel heterogenous Knowledge Base
Multi-expert learning for fusion of pedestrian detection bounding box
One-shot active learning for image segmentation via contrastive learning and diversity-based sampling
Parallel service mode of production and inventory for spare part inventory optimization
Domain knowledge-based security bug reports prediction
Advanced uncertainty based approach for discovering erasable product patterns
Consensus graph and spectral representation for one-step multi-view kernel based clustering
Detection of natural clusters via S-DBSCAN a Self-tuning version of DBSCAN
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Verification of integrity of deployed deep learning models using Bayesian Optimization
Link prediction based on higher-order structure extraction and autoencoder learning in directed networks
A hybrid multifactorial evolutionary algorithm and firefly algorithm for the clustered minimum routing cost tree problem
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data
A spatial–temporal graph neural network framework for automated software bug triaging
EGNN: Constructing explainable graph neural networks via knowledge distillation
Dynamic placement of multiple controllers based on SDN and allocation of computational resources based on heuristic ant colony algorithm
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
MDMD options discovery for accelerating exploration in sparse-reward domains
A wide interpretable Gaussian Takagi–Sugeno–Kang fuzzy classifier and its incremental learning
Automatic Arabic Grammatical Error Correction based on Expectation-Maximization routing and target-bidirectional agreement
A multi-timescale smart grid energy management system based on adaptive dynamic programming and Multi-NN Fusion prediction method
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms
IPGAN: Identity-Preservation Generative Adversarial Network for unsupervised photo-to-caricature translation
Boolean matrix factorization with background knowledge
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
