Editorial Board
GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays
Correlation-based structural dropout for convolutional neural networks
Modulating scalable Gaussian processes for expressive statistical learning
Enhanced anomaly scores for isolation forests
Generalized error path algorithm
3D object recognition through a size function resulting from an invariant topological feature
Potential Anchoring for imbalanced data classification
Spatial reasoning for few-shot object detection
Community-based k-shell decomposition for identifying influential spreaders
Hierarchical Object Relationship Constrained Monocular Depth Estimation.
Learnable low-rank latent dictionary for subspace clustering
A survey on dorsal hand vein biometrics
Human trajectory prediction and generation using LSTM models and GANs
Training object detectors from few weakly-labeled and many unlabeled images
Sparse semi-supervised heterogeneous interbattery bayesian analysis
Part-guided graph convolution networks for person re-identification
Multi-label feature selection via manifold regularization and dependence maximization
Deep neural networks ensemble to detect COVID-19 from CT scans
Effective action recognition with embedded key point shifts
Selection of diverse features with a diverse regularization
Learning graph edit distance by graph neural networks
Graph representation learning for road type classification
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities
Conditional information gain networks as sparse mixture of experts
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions
Manifold learning with structured subspace for multi-label feature selection
A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction
Weighted clustering: Towards solving the user’s dilemma
Discretization-aware architecture search
CapsNet regularization and its conjugation with ResNet for signature identification
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild
MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms
A nested U-shape network with multi-scale upsample attention for robust retinal vascular segmentation
Top-rank convolutional neural network and its application to medical image-based diagnosis
FoCL: Feature-oriented continual learning for generative models
Normalized class coherence change-based kNN for classification of imbalanced data
Certainty driven consistency loss on multi-teacher networks for semi-supervised learning
Non-uniform motion deblurring with blurry component divided guidance
Accuracy vs. complexity: A trade-off in visual question answering models
Deep robust multilevel semantic hashing for multi-label cross-modal retrieval
Point cloud denoising using non-local collaborative projections
Real-time and light-weighted unsupervised video object segmentation network
Dynamic and reliable subtask tracker with general schatten p-norm regularization
Reducing magnetic resonance image spacing by learning without ground-truth
A two-level framework for place recognition with 3D LiDAR based on spatial relation graph
Randomized trees for time series representation and similarity
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments
Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition
Improving the accuracy of global forecasting models using time series data augmentation
Automated delineation of corneal layers on OCT images using a boundary-guided CNN
Knowledge base graph embedding module design for Visual question answering model
Multi-label feature selection considering label supplementation
A unified weight learning and low-rank regression model for robust complex error modeling
Semantic manifold modularization-based ranking for image recommendation
MetaMed: Few-shot medical image classification using gradient-based meta-learning
Meta-learning based relation and representation learning networks for single-image deraining
Temporal consistent portrait video segmentation
Knowledge memorization and generation for action recognition in still images
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images
Generalized pyramid co-attention with learnable aggregation net for video question answering
Copula-based conformal prediction for multi-target regression
Explainable boosted linear regression for time series forecasting
Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts
Statistical mechanical analysis for unweighted and weighted stock market networks
Semi-supervised multi-Layer convolution kernel learning in credit evaluation
