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Refereed

CS039 Innovative Statistical Learning for Structured Data

Fri, May 1, 11:55 AM - 1:25 PM Room Milwaukee A Hyatt Regency Milwaukee

Stephanie ShippChair

Data Science Applications

3 Presentations

Enhancing BRepMFR for Machining Feature Recognition via Vision Transformers and Geometry-Aware Fourier Positional Encoding

12:00 PM - 12:25 PM

Co-authors: Bhairavsingh Ghorpade (Space Cow LLC), Richard Leu (Cosmic Lens Consulting), Bhairavsingh Ghorpade (Space Cow LLC)

CAD Graph Neural Network Transformer Manufacturing Feature Recognition Geometric Deep Learning Feature Classification

Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes

12:25 PM - 12:50 PM

Co-authors: Reagan Mozer (Bentley University), Nicole Pashley (Rutgers University), Reagan Mozer (Bentley University), Luke Miratrix (Harvard University)

causal inference stratified sampling text analysis survey sampling model-assisted estimation

Data-Driven Radiomic Risk Stratification for More Precise Lung Cancer Prognosis

12:50 PM - 1:15 PM

Co-authors: Mohamed Jaber, Nezamoddin N Kachouie (Florida Institute of Technology-Department of Mathematical Sciences), Mohamed Jaber, Matthew B. Schabath (Moffitt Cancer Center)

Lung cancer radiomics survival analysis Elastic Net Cox model risk stratification

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