Miriam Elia

According to our database, Miriam Elia authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics.

Miriam Elia, Fabian Stieler, Fabian Ripke, Marius Nann, Sarah Dopfer, Bernhard Bauer

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

LIFEDATA - A Framework for Traceable Active Learning Projects.

Fabian Stieler, Miriam Elia, Benjamin Weigel, Bernhard Bauer, Peter Kienle, Anton Roth, Gregor Müllegger, Marius Nann, Sarah Dopfer

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Towards Automated COVID-19 Presence and Severity Classification.

Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning.

Miriam Elia, Bernhard Bauer

Proceedings of the 18th International Conference on Software Technologies, 2023

2020

An Interactive Web Application for Decision Tree Learning.

Miriam Elia, Carola Gajek, Alexander Schiendorfer, Wolfgang Reif

Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop, 2020