Search Results for author: R. Chandramouli

Found 3 papers, 0 papers with code

Learning Models for Suicide Prediction from Social Media Posts

no code implementations NAACL (CLPsych) 2021 Ning Wang, Fan Luo, Yuvraj Shivtare, Varsha D. Badal, K. P. Subbalakshmi, R. Chandramouli, Ellen Lee

We propose a deep learning architecture and test three other machine learning models to automatically detect individuals that will attempt suicide within (1) 30 days and (2) six months, using their social media post data provided in the CLPsych 2021 shared task.

BIG-bench Machine Learning

Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks

no code implementations21 Apr 2021 Bingyang Wen, Luis Oliveros Colon, K. P. Subbalakshmi, R. Chandramouli

Though there are prior works that have demonstrated great progress, most of them learn the correlations in the data distributions rather than the true processes in which the datasets are naturally generated.

Synthetic Data Generation

Personalized Early Stage Alzheimer's Disease Detection: A Case Study of President Reagan's Speeches

no code implementations WS 2020 Ning Wang, Fan Luo, Vishal Peddagangireddy, K. P. Subbalakshmi, R. Chandramouli

In this paper, we show that machine learning-based unsupervised clustering of and anomaly detection with linguistic biomarkers are promising approaches for intuitive visualization and personalized early stage detection of Alzheimer`s disease.

Alzheimer's Disease Detection Anomaly Detection +1

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