3 papers
cs.CL2024
Multitask Fine-Tuning and Generative Adversarial Learning for Improved Auxiliary Classification
Christopher Sun, Abishek Satish
In this study, we implement a novel BERT architecture for multitask fine-tuning on three downstream tasks: sentiment classification, paraphrase detection, and semantic textual simi…
cs.LG2024
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
Sai Balaji, Christopher Sun, Anaiy Somalwar
The early and accurate diagnosis of sepsis is critical for enhancing patient outcomes. This study aims to use heart rate variability (HRV) features to develop an effective predicti…
cs.LG2022
Predicting Future Mosquito Larval Habitats Using Time Series Climate Forecasting and Deep Learning
Christopher Sun, Jay Nimbalkar, Ravnoor Bedi
Mosquito habitat ranges are projected to expand due to climate change. This investigation aims to identify future mosquito habitats by analyzing preferred ecological conditions of…