Papers
242 papers found
Learning from Few Subjects with Large Amounts of Voice Monitoring Data
Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan et al.
Measuring the Sympathetic Response to Intense Exercise in a Practical Setting
Shiva Kaul, Anthony Falco, Karianne Anthes
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero et al.
Multimodal Machine Learning for Automated ICD Coding
Keyang Xu, Mike Lam, Jingzhi Pang et al.
Multiple Instance Learning for ECG Risk Stratification
Divya Shanmugam, Davis Blalock, John Guttag
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy et al.
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis
Trent Kyono, Fiona J. Gilbert, Mihaela Schaar
Phenotype Inference with Semi-Supervised Mixed Membership Models
Victor A. Rodriguez, Adler Perotte
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis
Grace Guan, Barbara E. Engelhardt
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang et al.
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
Bonggun Shin, Sungsoo Park, Keunsoo Kang et al.
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
Charles Hamesse, Ruibo Tu, Paul Ackermann et al.
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover et al.
Temporal Graph Convolutional Networks for Automatic Seizure Detection
Ian C. Covert, Balu Krishnan, Imad Najm et al.
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
Linying Zhang, Yixin Wang, Anna Ostropolets et al.
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images
David Dov, Shahar Z. Kovalsky, Jonathan Cohen et al.
Using Contextual Information to Improve Blood Glucose Prediction
Mohammad Akbari, Rumi Chunara
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series
Min Zheng, Samantha Kleinberg
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use
Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden et al.
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
Bingbin Liu, Michelle Guo, Edward Chou et al.
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels, Saige Rutherford, Mike Angstadt et al.
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
Rafid Mahmood, Aaron Babier, Andrea McNiven et al.
Bayesian Trees for Automated Cytometry Data Analysis
Disi Ji, Eric Nalisnick, Yu Qian et al.
Boosted Trees for Risk Prognosis
Alexis Bellot, Mihaela van der Schaar