Tingying Helen Zeng

According to our database, Tingying Helen Zeng authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Injury Risk Prediction in Soccer Using Machine Learning.

Brendan Shen, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the International Conference on Machine Learning and Applications, 2023

Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models.

Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Class Activation Mapping Enhanced AlexNet Convolutional Neural Networks for Early Diagnosis of Alzheimer's Disease.

William Xu, Tingying Helen Zeng, Mikhail Y. Shalaginov

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features.

Joseph Sun, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy.

Vivian Liu, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

COVID-19 Impact on Mental Health Analysis based on Reddit Comments.

Justin Q. Chen, Kevin Qi, Aaron Zhang, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning.

Emma Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Scoliosis Detection with Convolutional Neural Networks.

Qiushi Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis.

Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2020

Exploration of the Possibility of Early Diagnosis for Digestive Diseases Using Deep Learning Techniques.

Rory Liao, Kevin Qi, Daniel Che, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020