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Applied Intelligence （APIN） - November 2021, issue 11 论文列表

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卷期号： November 2021, issue 11
发布时间：
卷期年份： 2021
卷期官网： https://link.springer.com/journal/10489/volumes-and-issues/51-11
本期论文列表
A user-knowledge dynamic pattern matching process and optimization strategy based on the expert knowledge recommendation system

An improved evidence fusion algorithm in multi-sensor systems

Improved differential evolution based on multi-armed bandit for multimodal optimization problems

IM-ELPR: Influence maximization in social networks using label propagation based community structure

Adversarial training with Wasserstein distance for learning cross-lingual word embeddings

Image generation and constrained two-stage feature fusion for person re-identification

Flexible data representation with feature convolution for semi-supervised learning

Semantic-enhanced sequential modeling for personality trait recognition from texts

Distributed dictionary learning for industrial process monitoring with big data

A new complete color normalization method for H&E stained histopatholgical images

Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization

A band selection approach based on wavelet support vector machine ensemble model and membrane whale optimization algorithm for hyperspectral image

Scene graph generation by multi-level semantic tasks

A novel feature selection approach with Pareto optimality for multi-label data

Robust graph convolutional networks with directional graph adversarial training

Noise-adaptive synthetic oversampling technique

Joint sparse neural network compression via multi-application multi-objective optimization

Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation

A modification of I-SOS: performance analysis to large scale functions

Subtler mixed attention network on fine-grained image classification

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering

Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network

A hybrid user-based collaborative filtering algorithm with topic model

A new parameter reduction algorithm for soft sets based on chi-square test

Discovering relational and numerical expressions from plan traces for learning action models

A learning search algorithm with propagational reinforcement learning

An online multiple object tracker based on structure keeper net

Extended approach by using best–worst method on the basis of importance–necessity concept and its application

Towards data-free gating of heterogeneous pre-trained neural networks

Neural cryptography using optimal structure of neural networks

Overlapping community detection using core label propagation algorithm and belonging functions

Where do university graduates live? – A computer vision approach using satellite images

Correction to: Where do university graduates live? – a computer vision approach using satellite images

Using extended siamese networks to provide decision support in aquaculture operations

Portfolio management system in equity market neutral using reinforcement learning

ConvNet frameworks for multi-modal fake news detection

Graph-optimized coupled discriminant projections for cross-view gait recognition

A heuristic and reliable track-to-track data association approach for multi-cell track reconstruction

Tensor projection mechanism and algorithm implementation

Maximizing a deep submodular function optimization with a weighted MAX-SAT problem for trajectory clustering and motion segmentation

A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm

Feature selection accelerated convolutional neural networks for visual tracking

Multichannel environmental sound segmentation

Analysis of vertical eye movements in Parkinson’s disease and its potential for diagnosis

Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features

Using distributed ledger technology to democratize neural network training

Detecting earthquakes: a novel deep learning-based approach for effective disaster response

Modeling polypharmacy effects with heterogeneous signed graph convolutional networks

A conditional classification recurrent RBM for improved series mid-term forecasting

Joint latent low-rank and non-negative induced sparse representation for face recognition