Augmented domain agreement for adaptable Meta-Learner on Few-Shot classification
Evaluating performance of AI operators using roofline model
A variable neighborhood descent with ant colony optimization to solve a bilevel problem with station location and vehicle routing
Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods
Fault centrality: boosting spectrum-based fault localization via local influence calculation
Mining interesting sequences with low average cost and high average utility
Trajectory prediction and tracking using a multi-behaviour social particle filter
D3FC: deep feature-extractor discriminative dictionary-learning fuzzy classifier for medical imaging
Incorporating emotion for response generation in multi-turn dialogues
Modeling knowledge proficiency using multi-hierarchical capsule graph neural network
A coordinated many-objective evolutionary algorithm using random adaptive parameters
Improved adaptive coding learning for artificial bee colony algorithms
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Multilevel segmentation of Hippocampus images using global steered quantum inspired firefly algorithm
Reversible data hiding: A contemporary survey of state-of-the-art, opportunities and challenges
Occluded person re-identification based on differential attention siamese network
A wireless sensor node deployment scheme based on embedded virtual force resampling particle swarm optimization algorithm
Re-weighting regression and sparsity regularization for multi-view classification
Hierarchical learning from human preferences and curiosity
MMKRL: A robust embedding approach for multi-modal knowledge graph representation learning
An efficient data evacuation strategy using multi-objective reinforcement learning
GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
A new algorithm for modeling online search behavior and studying ranking reliability variations
Multi-Scale Image Super-Resolution via Hierarchical Filter Groups
Visual tracking for UAV using adaptive spatio-temporal regularized correlation filters
Factorized multi-scale multi-resolution residual network for single image deraining
Spatio-temporal trajectory anomaly detection based on common sub-sequence
A transfer-learning approach for corrosion prediction in pipeline infrastructures
GE-STDGN: a novel spatio-temporal weather prediction model based on graph evolution
Correntropy-based dual graph regularized nonnegative matrix factorization with Lp smoothness for data representation
Unsupervised hash retrieval based on multiple similarity matrices and text self-attention mechanism
MAFA-net: pedestrian detection network based on multi-scale attention feature aggregation
Enhanced semantic representation learning for implicit discourse relation classification
An efficient method for tracking failure detection using parallel correlation filtering and Siamese network
Multi-granular document-level sentiment topic analysis for online reviews
Object matching between visible and infrared images using a Siamese network
Instance interactive association graph convolutional network for domain adaptive person re-identification
Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery
Optimized Bayesian adaptive resonance theory mapping model using a rational quadratic kernel and Bayesian quadratic regularization
A hybrid immune genetic algorithm with tabu search for minimizing the tool switch times in CNC milling batch-processing
Generative residual block for image generation
Möbius transformation in generalized evidence theory
A new correlation coefficient of mass function in evidence theory and its application in fault diagnosis
The design of error-correcting output codes algorithm for the open-set recognition
LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning
Multi-view fusion segmentation for brain glioma on CT images
An improved crow search algorithm based on oppositional forgetting learning
Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
Fast local Laplacian filtering based enhanced medical image fusion using parameter-adaptive PCNN and local features-based fuzzy weighted matrices
Multi-relational knowledge graph completion method with local information fusion
