A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
KANEL combines models for early hit enrichment in virtual screening.
Anatomical and biophysical modeling of left atrium (LA) and proximal pulmonary veins (PPVs) is important for clinical management of several cardiac diseases. Magnetic resonance imaging (MRI) allows qualitative assessment of LA and PPVs through visualization. However, there is a strong need for an advanced image segment…
The study explores fairness in classifier post-processing methods.
This thesis evaluates the quality of binary classification models in crime forecasting tools.
Study membership inference under skewed priors and adaptive thresholds, improving attack accuracy.
The paper develops bounds for predictive values in binary classification.
Support vector machines predict cryptocurrency price movements with high accuracy.
Objective: We investigate whether deep learning techniques for natural language processing (NLP) can be used efficiently for patient phenotyping. Patient phenotyping is a classification task for determining whether a patient has a medical condition, and is a crucial part of secondary analysis of healthcare data. We ass…
Deep learning predicts diabetic macular edema from fundus photos.
Method predicts ODX scores for breast cancer patients based on clinical data.