0924-669X

Applied Intelligence （APIN） - May 2022, issue 7 论文列表

点击这里查看 Applied Intelligence 的JCR分区、影响因子等信息
卷期号： May 2022, issue 7
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/52-7
本期论文列表
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