Ricards Marcinkevics

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Chronic Obstructive Pulmonary Disease

Nearest Neighbour Algorithm

Top Venues

Medical Image Anal.

Publications

Ricards Marcinkevics, Sonia Laguna, Moritz Vandenhirtz, Julia E. Vogt
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? CoRR (2024)
Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Ece Ozkan, Christian Knorr, Julia E. Vogt
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. Medical Image Anal. 91 (2024)
Moritz Vandenhirtz, Sonia Laguna, Ricards Marcinkevics, Julia E. Vogt
Stochastic Concept Bottleneck Models. CoRR (2024)
Ricards Marcinkevics, Julia E. Vogt
Interpretable and explainable machine learning: A methods-centric overview with concrete examples. WIREs Data. Mining. Knowl. Discov. 13 (3) (2023)
Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Ece Ozkan, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Christian Knorr, Julia E. Vogt
Interpretable and Intervenable Ultrasonography-based Machine Learning Models for Pediatric Appendicitis. CoRR (2023)
Zixuan Xiao, Michal Muszynski, Ricards Marcinkevics, Lukas Zimmerli, Adam Daniel Ivankay, Dario Kohlbrenner, Manuel Kuhn, Yves Nordmann, Ulrich Muehlner, Christian Clarenbach, Julia E. Vogt, Thomas Brunschwiler
Breathing New Life into COPD Assessment: Multisensory Home-monitoring for Predicting Severity. ICMI (2023)
Moritz Vandenhirtz, Laura Manduchi, Ricards Marcinkevics, Julia E. Vogt
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss. CoRR (2023)
Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Thomas J. Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E. Vogt
A Deep Variational Approach to Clustering Survival Data. ICLR (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. MLHC (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge. CoRR (2022)
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. CoRR (2022)
Alexander H. Hatteland, Ricards Marcinkevics, Renaud Marquis, Thomas Frick, Ilona Hubbard, Julia E. Vogt, Thomas Brunschwiler, Philippe Ryvlin
Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks. ICDH (2021)
Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Julia E. Vogt
A Deep Variational Approach to Clustering Survival Data. CoRR (2021)
Ricards Marcinkevics, Julia E. Vogt
Interpretable Models for Granger Causality Using Self-explaining Neural Networks. CoRR (2021)
Pedro Roig Aparicio, Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt
Learning Medical Risk Scores for Pediatric Appendicitis. ICMLA (2021)
Ricards Marcinkevics, Julia E. Vogt
Interpretable Models for Granger Causality Using Self-explaining Neural Networks. ICLR (2021)
Ricards Marcinkevics, Julia E. Vogt
Interpretability and Explainability: A Machine Learning Zoo Mini-tour. CoRR (2020)
Imant Daunhawer, Thomas M. Sutter, Ricards Marcinkevics, Julia E. Vogt
Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models. GCPR (2020)
Ricards Marcinkevics, Steven Kelk, Carlo Galuzzi, Berthold Stegemann
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm. CoRR (2019)