Xingang Fang

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 3

Top Topics

Machine Learning Models

Lossy Compression

Predictive Accuracy

Top Venues

Biomed. Signal Process. Control.

Comput. Biol. Chem.

Publications

Xingang Fang, Julia Klawohn, Alexander De Sabatino, Harsh Kundnani, Jonathan Ryan, Weikuan Yu, Greg Hajcak
Accurate classification of depression through optimized machine learning models on high-dimensional noisy data. Biomed. Signal Process. Control. 71 (Part) (2022)
Rupak Roy, Kento Sato, Subhadeep Bhattacharya, Xingang Fang, Yasumasa Joti, Takaki Hatsui, Toshiyuki Nishiyama Hiraki, Jian Guo, Weikuan Yu
Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks. CCGRID (2021)
Xingang Fang, Sikha Bagui, Subhash C. Bagui
Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models. Comput. Biol. Chem. 69 (2017)
Bilal Gonen, Xingang Fang, Eman El-Sheikh, Sikha Bagui, Norman Wilde, Alfred Zimmermann, Ilia Petrov
Maintaining SOA Systems of the Future - How Can Ontological Modeling Help?. KEOD (2014)