| Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks P Schwab, GC Scebba, J Zhang, M Delai, W Karlen Computing in Cardiology, 2017 | 27 | 2017 |
| Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks P Schwab, D Miladinovic, W Karlen AAAI Conference on Artificial Intelligence, 2019 | 17 | 2019 |
| PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data P Schwab, W Karlen AAAI Conference on Artificial Intelligence, 2019 | 14 | 2019 |
| 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 | 13 | 2018 |
| 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 | 10 | 2018 |
| 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 | 5 | 2020 |
| Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models P Schwab, H Hlavacs AAAI Conference on Artificial Intelligence and Interactive Digital …, 2015 | 4 | 2015 |
| PALAIS: A 3D Simulation Environment for Artificial Intelligence in Games P Schwab, H Hlavacs Proceedings of the AISB Convention, 2015 | 4 | 2015 |
| CXPlain: Causal Explanations for Model Interpretation under Uncertainty P Schwab, W Karlen Advances in Neural Information Processing Systems (NeurIPS), 2019 | 3 | 2019 |
| A Unified Framework for Retrieving Diverse Social Images M Zaharieva, P Schwab MediaEval, 2014 | 2 | 2014 |
| 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 | 1 | 2019 |
| 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 |
Walter KarlenMobile Health Systems Lab, Department of Health Sciences and Technology, ETH ZurichVerified email at ieee.org
