Tingying Helen Zeng

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Early Detection

Sentiment Analysis

Convolutional Neural Networks

Early Diagnosis

Top Venues

Publications

Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. ICMLA (2023)
Brendan Shen, Mikhail Y. Shalaginov, Tingying Helen Zeng
Injury Risk Prediction in Soccer Using Machine Learning. ICMLA (2023)
Qiushi Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
Scoliosis Detection with Convolutional Neural Networks. BIBM (2022)
Joseph Sun, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features. BIBM (2022)
Vivian Liu, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng
A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy. BIBM (2022)
Emma Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng
Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning. BIBM (2022)
Justin Q. Chen, Kevin Qi, Aaron Zhang, Mikhail Y. Shalaginov, Tingying Helen Zeng
COVID-19 Impact on Mental Health Analysis based on Reddit Comments. BIBM (2022)
William Xu, Tingying Helen Zeng, Mikhail Y. Shalaginov
Class Activation Mapping Enhanced AlexNet Convolutional Neural Networks for Early Diagnosis of Alzheimer's Disease. BIBM (2022)
Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng
Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis. ISNCC (2021)
Rory Liao, Kevin Qi, Daniel Che, Tingying Helen Zeng
Exploration of the Possibility of Early Diagnosis for Digestive Diseases Using Deep Learning Techniques. BIBM (2020)