EnsPKDE&IncLKDE: a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation
Meta-heuristic algorithms for resource Management in Crisis Based on OWA approach
Preference relation based collaborative filtering with graph aggregation for group recommender system
Iterated graph cut method for automatic and accurate segmentation of finger-vein images
A combined multiple action recognition and summarization for surveillance video sequences
An integrated method for multi-criteria decision-making based on the best-worst method and Dempster-Shafer evidence theory under double hierarchy hesitant fuzzy linguistic environment
End-to-end CNN + LSTM deep learning approach for bearing fault diagnosis
Pearson correlation coefficient-based pheromone refactoring mechanism for multi-colony ant colony optimization
State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems
Discriminative feature extraction for video person re-identification via multi-task network
Design of fault diagnosis algorithm for electric fan based on LSSVM and Kd-Tree
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions
Deep network compression with teacher latent subspace learning and LASSO
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A context-aware recommendation approach based on feature selection
Data-guided multi-granularity selector for attribute reduction
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
Time-aware sequence model for next-item recommendation
Metric transfer learning via geometric knowledge embedding
Attention augmented multi-scale network for single image super-resolution
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm
Multi-label text classification with latent word-wise label information
Hybrid nonlinear convolution filters for image recognition
A novel discretization algorithm based on multi-scale and information entropy
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization
An enhanced class topper algorithm based on particle swarm optimizer for global optimization
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
A new base basic probability assignment approach for conflict data fusion in the evidence theory
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning
Fast and slow curiosity for high-level exploration in reinforcement learning
Image robust recognition based on feature-entropy-oriented differential fusion capsule network
HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
Pruning filters with L1-norm and capped L1-norm for CNN compression
Segmentation mask-guided person image generation
