Patrick Schwab
Patrick Schwab
F. Hoffmann-La Roche Ltd
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
272017
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
P Schwab, D Miladinovic, W Karlen
AAAI Conference on Artificial Intelligence, 2019
172019
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
P Schwab, W Karlen
AAAI Conference on Artificial Intelligence, 2019
142019
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
132018
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
102018
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
52020
Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models
P Schwab, H Hlavacs
AAAI Conference on Artificial Intelligence and Interactive Digital …, 2015
42015
PALAIS: A 3D Simulation Environment for Artificial Intelligence in Games
P Schwab, H Hlavacs
Proceedings of the AISB Convention, 2015
42015
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
P Schwab, W Karlen
Advances in Neural Information Processing Systems (NeurIPS), 2019
32019
A Unified Framework for Retrieving Diverse Social Images
M Zaharieva, P Schwab
MediaEval, 2014
22014
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
12019
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
P Schwab, W Karlen
arXiv preprint arXiv:2001.09748, 2020
2020
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, ...
bioRxiv, 2020
2020
Learning to Treat, Explain and Diagnose with Neural Networks
P Schwab
ETH Zurich, 2019
2019
Traumatic Experiences Influence Later Sleep and Stress Perception in Vulnerable Individuals
Y Azza, P Feinaigle, P Schwab, W Karlen, E Seifritz, B Kleim
JOURNAL OF SLEEP RESEARCH 27, 2018
2018
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
2018
Developing a smartphone app for tracking digital biomarkers of low back pain
A Meinke, P Schwab, W Karlen
SSBE 2018 Annual Meeting, 2018
2018
Supplementary Material for: Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
P Schwab, D Miladinovic, W Karlen
2018
Automated Extraction of Digital Biomarkers for Parkinson’s Disease
P Schwab, MA Khashkhashi Moghaddam, W Karlen
RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM CHALLENGES, 2017
2017
A Unifed Framework for Artifcial Intelligence in Autonomous Agents
P Schwab
University of Vienna, 2015
2015
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