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Bayesian pattern classifiers 1

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Diffusion coefficient 1

Discriminative learning 1

Eye-tracking datasets 1

Feature selection 1

Gaussian mixture models 1

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A new constrained maximum margin approach to discriminative learning of Bayesian classifiers None

Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 639-650 doi: 10.1631/FITEE.1700007

Abstract: to learn Bayesian classifiers based on Gaussian mixture models, and conducted the experiments on 10 UCIdatasets.

Keywords: Discriminative learning     Statistical modeling     Bayesian pattern classifiers     Gaussian mixture models     UCIdatasets    

PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 251-262 doi: 10.1007/s11684-021-0915-9

Abstract: Robustness of these tools has been tested on various real and simulated scRNA-seq datasets.

Keywords: scRNA-seq     intracellular pathogen     microbe     COVID-19     SARS-CoV-2    

Environments of Northern China Based on a Modified Theoretical Model of Chloride Diffusion and Large Datasets Article

Taotao Feng, Hongfa Yu, Yongshan Tan, Haiyan Ma, Mei Xu, Chengjun Yue

Engineering 2022, Volume 17, Issue 10,   Pages 123-139 doi: 10.1016/j.eng.2021.03.030

Abstract:

In this study, through experimental research and an investigation on large datasets of the durability

Keywords: Large datasets     Modified theoretical model     Reliability theory     Service life     Boundary condition     Diffusion    

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract: We attempt to understand and resolve the imbalance problem of datasets to substantiate the work of researcherscase study is provided to demonstrate the process of implementation, in which three microarray cancer datasets

Keywords: Feature selection     High dimensionality     Learning techniques     Microarray dataset    

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum Research Article

Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk,t.feng@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 101-112 doi: 10.1631/FITEE.2000318

Abstract: Predicting facilitates an adaptive virtual museum environment and provides a context-aware and interactive user experience. Explorations toward development of a mechanism using eye-tracking data have so far been limited to 2D cases, and researchers are yet to approach this topic in a 3D virtual environment and from a spatiotemporal perspective. We present the first 3D Eye-tracking Dataset for modeling in a virtual Museum, known as the EDVAM. In addition, a model is devised and tested with the EDVAM to predict a user's subsequent from previous eye movements. This work provides a reference for modeling and context-aware interaction in the context of .

Keywords: Visual attention     Virtual museums     Eye-tracking datasets     Gaze detection     Deep learning    

Title Author Date Type Operation

A new constrained maximum margin approach to discriminative learning of Bayesian classifiers

Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG

Journal Article

PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets

Journal Article

Environments of Northern China Based on a Modified Theoretical Model of Chloride Diffusion and Large Datasets

Taotao Feng, Hongfa Yu, Yongshan Tan, Haiyan Ma, Mei Xu, Chengjun Yue

Journal Article

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Journal Article

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk,t.feng@zju.edu.cn

Journal Article