9 Result(s)

Article

A review on COVID-19 forecasting models

The novel coronavirus (COVID-19) has spread to more than 200 countries worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such, several machine learning models that can forec...

Iman Rahimi, Fang Chen, Amir H. Gandomi in Neural Computing and Applications (2023)

Article

Joint-product representation learning for domain generalization in classification and regression

In this work, we study the problem of generalizing a prediction (classification or regression) model trained on a set of source domains to an unseen target domain, where the source and target domains are diffe...

Sentao Chen, Liang Chen in Neural Computing and Applications (2023)

Article

DCU-Net: a dual-channel U-shaped network for image splicing forgery detection

The detection and location of image splicing forgery are a challenging task in the field of image forensics. It is to study whether an image contains a suspicious tampered area pasted from another image. In th...

Hongwei Ding, Leiyang Chen, Qi Tao, Zhongwang Fu… in Neural Computing and Applications (2023)

Article

Attention mechanism-based deep learning method for hairline fracture detection in hand X-rays

Wrist and finger fractures detection is always the weak point of associate study, because there are small targets in X-rays, such as hairline fractures. In this paper, a dataset, consisting of 4346 anteroposte...

Wenkong Wang, Weijie Huang, Quanli Lu, Jiyang Chen… in Neural Computing and Applications (2022)

Chapter and Conference Paper

Human Action Recognition Based on Sub-data Learning

Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...

Yang Chen, Tian Wang, Jiakun Li, **aowei Lv, Hichem Snoussi in Computer Vision (2017)

Chapter and Conference Paper

Image-Text Dual Model for Small-Sample Image Classification

Small-sample classification is a challenging problem in computer vision and has many applications. In this paper, we propose an image-text dual model to improve the classification performance on small-sample d...

Fangyi Zhu, **aoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, **aowei Guo… in Computer Vision (2017)

Chapter

Erratum to: Community Understanding in Location-based Social Networks

Yi-Liang Zhao, Qiang Chen, Shuicheng Yan… in Human-Centered Social Media Analytics (2014)

Chapter and Conference Paper

Local Clustering Conformal Predictor for Imbalanced Data Classification

The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...

Huazhen Wang, Yewang Chen, Zhigang Chen… in Artificial Intelligence Applications and I… (2013)

Chapter and Conference Paper

Distance Metric Learning-Based Conformal Predictor

In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...

Fan Yang, Zhigang Chen, Guifang Shao… in Artificial Intelligence Applications and I… (2012)