Editorial Board
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning
Perceived individual fairness with a molecular representation for medicine recommendations
Commercial-risk joint analysis with probabilistic linguistic assessments
Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation
Integrated prediction intervals and specific value predictions for regression problems using neural networks
Cross-Domain Few-Shot Classification based on Lightweight Res2Net and Flexible GNN
Weakly supervised setting for learning concept prerequisite relations using multi-head attention variational graph auto-encoders
Minority oversampling for imbalanced time series classification
Multi-view 3D object retrieval leveraging the aggregation of view and instance attentive features
Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques
Average reward adjusted deep reinforcement learning for order release planning in manufacturing
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection
Binary Golden Eagle Optimizer with Time-Varying Flight Length for feature selection
Cross self-attention network for 3D point cloud
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Differentially private publication of database streams via hybrid video coding
Dynamic penalty adaptive matrix machine for the intelligent detection of unbalanced faults in roller bearing
Adaptive depth-aware visual relationship detection
Fine-grained, aspect-based sentiment analysis on economic and financial lexicon
A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets
Toward sleep apnea detection with lightweight multi-scaled fusion network
An augmented Lagrangian relaxation method for the mean-standard deviation based vehicle routing problem
Self-supervised representation learning for trip recommendation
Quadratic Optimization based Clique Expansion for overlapping community detection
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks
Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic
MIA-Net: Multi-information aggregation network combining transformers and convolutional feature learning for polyp segmentation
ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices
Gating augmented capsule network for sequential recommendation
Horizontal and vertical features fusion network based on different brain regions for emotion recognition
Scalable multi-task Gaussian processes with neural embedding of coregionalization
