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An introduction to causal reasoning in health analytics


May 18, 2021
Wenhao Zhang, Ramin Ramezani, Arash Naeim

* 26 pages, 14 figures, to appear in the second edition of the handbook of computational intelligence 

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Domestic activities clustering from audio recordings using convolutional capsule autoencoder network


May 08, 2021
Ziheng Lin, Yanxiong Li, Zhangjin Huang, Wenhao Zhang, Yufeng Tan, Yichun Chen, Qianhua He

* 5 pages, 2 figures, 5 tables, Accepted by IEEE ICASSP 2021 

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AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results


Sep 14, 2020
Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P S, Densen Puthussery, Jiji C V


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WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning


Nov 12, 2019
Wenhao Zhang, Ramin Ramezani, Arash Naeim

* 10 pages, 5 figures, 3 tables; Accepted by 5th Special Session on Intelligent Data Mining in IEEE BigData 2019 

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GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets


Oct 23, 2019
Vishwa Karia, Wenhao Zhang, Arash Naeim, Ramin Ramezani

* 7 pages, 2 tables, 1 figure 

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A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random


Oct 16, 2019
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

* 16 pages, 6 figures, 4 tables 

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Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection


May 14, 2018
Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Ge Li

* Project website: https://chunbiaozhu.github.io/ACVR2017/ 

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Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge


Mar 10, 2017
Wenhao Zhang, Liangcai Gao, Runtao Liu

* Skin Lesion Classification Challenge Competition, ISIC2017 

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