Patrick Schwab
Patrick Schwab
GSK AI/ML
Verified email at hest.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
P Schwab, GC Scebba, J Zhang, M Delai, W Karlen
Computing in Cardiology, 2017
522017
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
P Schwab, W Karlen
Advances in Neural Information Processing Systems (NeurIPS), 2019
412019
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
P Schwab, D Miladinovic, W Karlen
AAAI Conference on Artificial Intelligence, 2019
382019
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks
P Schwab, L Linhardt, W Karlen
arXiv preprint arXiv:1810.00656, 2018
342018
Clinical Predictive Models for COVID-19: Systematic Study
P Schwab, ADM Schütte, B Dietz, S Bauer
Journal of Medical Internet Research 22 (10), e21439, 2020
30*2020
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
P Schwab, W Karlen
AAAI Conference on Artificial Intelligence, 2019
302019
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
P Schwab, E Keller, C Muroi, DJ Mack, C Strässle, W Karlen
International Conference on Machine Learning (ICML), 2018
202018
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
P Schwab, L Linhardt, S Bauer, JM Buhmann, W Karlen
AAAI Conference on Artificial Intelligence, 2020
192020
Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models
P Schwab, H Hlavacs
AAAI Conference on Artificial Intelligence and Interactive Digital …, 2015
122015
PALAIS: A 3D Simulation Environment for Artificial Intelligence in Games
P Schwab, H Hlavacs
Proceedings of the AISB Convention, 2015
42015
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ...
npj Digital Medicine 4 (1), 1-12, 2021
32021
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
P Schwab, A Mehrjou, S Parbhoo, LA Celi, J Hetzel, M Hofer, B Schölkopf, ...
Nature Communications 12 (1), 1-16, 2021
32021
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
P Schwab, W Karlen
IEEE Journal for Biomedical Health Informatics, 2020
32020
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
C Muroi, S Meier, V De Luca, DJ Mack, C Strässle, P Schwab, W Karlen, ...
Neurocritical Care, 1-8, 2019
32019
A Field-study on the Role of Sleep in Stress Resilience in Rescue Workers: Preliminary Analyses of Wrist-actigraphy and Home-polysomnography
I Clark, Y Azza, S Mueller, P Schwab, W Karlen, E Seifritz, B Kleim, ...
JOURNAL OF SLEEP RESEARCH 27, 2018
22018
A Unified Framework for Retrieving Diverse Social Images
M Zaharieva, P Schwab
MediaEval, 2014
22014
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
S Parbhoo, S Bauer, P Schwab
arXiv preprint arXiv:2103.11175, 2021
2021
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation
ADM Schütte, J Hetzel, S Gatidis, T Hepp, B Dietz, S Bauer, P Schwab
arXiv preprint arXiv:2012.03769, 2020
2020
Detection of Diabetes from Whole-Body Magnetic Resonance Imaging Using Deep Learning
R Wagner, B Dietz, J Machann, P Schwab, JK Dienes, S Reichert, ...
Diabetes 69 (Supplement 1), 2020
2020
Learning to Treat, Explain and Diagnose with Neural Networks
P Schwab
ETH Zurich, 2019
2019
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Articles 1–20