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Ricards Marcinkevics
Ricards Marcinkevics
PhD student, ETH Zürich
Bestätigte E-Mail-Adresse bei inf.ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Interpretability and explainability: A machine learning zoo mini-tour
R Marcinkevičs, JE Vogt
arXiv preprint arXiv:2012.01805, 2020
442020
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
R Marcinkevičs, JE Vogt
The 9th International Conference on Learning Representations, ICLR 2021, 2021
142021
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, 360, 2021
92021
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
82022
Self-supervised disentanglement of modality-specific and shared factors improves multimodal generative models
I Daunhawer, TM Sutter, R Marcinkevičs, JE Vogt
DAGM German Conference on Pattern Recognition, 459-473, 2020
82020
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), 109903, 2021
42021
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
32018
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
1*2021
Debiasing Deep Chest X-Ray Classifiers using Intra-and Post-processing Methods
R Marcinkevics, E Ozkan, JE Vogt
The 7th Machine Learning for Healthcare Conference, MLHC 2022, 2022
2022
Multiview Concept Bottleneck Models Applied to Diagnosing Pediatric Appendicitis
U Klimiene, R Marcinkevics, PR Wolfertstetter, E Ozkan, A Paschke, ...
The 2nd Workshop on Interpretable Machine Learning in Healthcare, IMLH, 2022
2022
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
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
Differences in right and left atrial structure and electrophysiology in ARVD
R Marcinkevics, B Stegemann, AV Holden, MH Tayebjee
EP-Europace 19 (1), i38-i38, 2017
2017
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