1 citations · 2 across the 3 of their papers we have counts for
3 papers
Fear Moves Markets: Sentiment-Augmented POMP for Volatility Modeling of Bitcoin Returns
Abeyankar Giridharan, Chang Li, Suvrorup Mukherjee +1
Cryptocurrency markets exhibit extreme price swings and sentiment-driven regime shifts, which traditional volatility models often fail to capture. To address this, we develop a par…
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
Daniel Bogdoll, Rajanikant Patnaik Ananta, Abeyankar Giridharan +3
With an ever-increasing availability of data, it has become more and more challenging to select and label appropriate samples for the training of machine learning models. It is esp…
Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
Naman Dhariwal, Abeyankar Giridharan
Head and neck squamous cell carcinoma (HNSCC) presents significant challenges in clinical oncology due to its heterogeneity and high mortality rates. This study aims to leverage cl…