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Ricards Marcinkevics
Ricards Marcinkevics
Outros nomesRičards Marcinkevičs
PhD student, ETH Zurich
E-mail confirmado em inf.ethz.ch - Página inicial
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Interpretability and explainability: A machine learning zoo mini-tour
R Marcinkevičs, JE Vogt
arXiv preprint arXiv:2012.01805, 2020
1492020
Interpretable models for Granger causality using self-explaining neural networks
R Marcinkevičs, JE Vogt
The 9th International Conference on Learning Representations, ICLR 2021, 2021
482021
Using machine learning to predict the diagnosis, management and severity of pediatric appendicitis
R Marcinkevics, P Reis Wolfertstetter, S Wellmann, C Knorr, JE Vogt
Frontiers in pediatrics 9, 662183, 2021
362021
A Deep Variational Approach to Clustering Survival Data
L Manduchi, R Marcinkevičs, MC Massi, T Weikert, A Sauter, V Gotta, ...
The 10th International Conference on Learning Representations, ICLR 2022, 2022
302022
Rapid and reversible control of human metabolism by individual sleep states
N Nowak, T Gaisl, D Miladinovic, R Marcinkevics, M Osswald, S Bauer, ...
Cell Reports 37 (4), 2021
282021
Self-supervised disentanglement of modality-specific and shared factors improves multimodal generative models
I Daunhawer, TM Sutter, R Marcinkevičs, JE Vogt
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
242021
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples
R Marcinkevičs, JE Vogt
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (3 …, 2023
19*2023
Debiasing deep chest X-ray classifiers using intra-and post-processing methods
R Marcinkevics, E Ozkan, JE Vogt
Machine Learning for Healthcare Conference, 504-536, 2022
152022
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
R Marcinkevičs, PR Wolfertstetter, U Klimiene, K Chin-Cheong, ...
Medical Image Analysis, 103042, 2023
8*2023
Learning medical risk scores for pediatric appendicitis
PR Aparicio, R Marcinkevičs, PR Wolfertstetter, S Wellmann, C Knorr, ...
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
72021
Multichannel electrocardiogram diagnostics for the diagnosis of arrhythmogenic right ventricular dysplasia
R Marcinkevics, J O’neill, H Law, E Pervolaraki, A Hogarth, C Russell, ...
EP Europace 20 (FI1), f13-f19, 2018
72018
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
R Marcinkevičs, S Laguna, M Vandenhirtz, J Vogt
XAI in Action: Past, Present, and Future Applications, 2023
12023
Machine learning analysis of humoral and cellular responses to SARS-CoV-2 infection in young adults
R Marcinkevics, PN Silva, AK Hankele, C Dörnte, S Kadelka, K Csik, ...
Frontiers in Immunology 14, 2608, 2023
12023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
JE Vogt, E Özkan Elsen, R Marcinkevičs
Digital Medicine: Bringing Digital Solutions to Medical Practice, 2023
1*2023
Breathing New Life into COPD Assessment: Multisensory Home-monitoring for Predicting Severity
Z Xiao, M Muszynski, R Marcinkevičs, L Zimmerli, AD Ivankay, ...
Proceedings of the 25th International Conference on Multimodal Interaction …, 2023
2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
M Vandenhirtz, L Manduchi, R Marcinkevičs, JE Vogt
What do we need for successful domain generalization? ICLR 2023, 2023
2023
Multimodal Remote Home Monitoring of Lung Transplant Recipients during COVID-19 Vaccinations: Usability Pilot Study of the COVIDA Desk Incorporating Wearable Devices
MM Schuurmans, M Muszynski, X Li, R Marcinkevičs, L Zimmerli, ...
Medicina 59 (3), 617, 2023
2023
Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks
AH Hatteland, R Marcinkevičs, R Marquis, T Frick, I Hubbard, JE Vogt, ...
2021 IEEE International Conference on Digital Health (ICDH), 103-113, 2021
2021
Causal Inference in Time Series for Identifying Molecular Fingerprints during Sleep
R Marcinkevics
ETH Zürich, 2019
2019
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm
R Marcinkevics, S Kelk, C Galuzzi, B Stegemann
arXiv preprint arXiv:1901.09187, 2019
2019
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