Miriam Mathea

10PUBLICATIONS
52CO-AUTHORS
Deep learningBiomolecular modelling and designLiquid biopsiesNeural networksProgramming languages
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Publications (10)

|Sep 14, 2026
Deep Learning Foundation Models for Low-Data Regimes from Classical Molecular Descriptors.

|Sep 15, 2025
Evaluating Machine Learning Models for Molecular Property Prediction: Performance and Robustness on Out-of-Distribution Data.

Hosein Fooladi, Thi Ngoc Lan Vu, Miriam Mathea

|Dec 04, 2024
Evaluation of the standard battery of in vitro genotoxicity tests to predict in vivo genotoxicity through mathematical modeling: A report from the 8th International Workshop on Genotoxicity Testing.

Mirjam Luijten, Jan van Benthem, Takeshi Morita

|Sep 25, 2024
Analysis of uncertainty of neural fingerprint-based models.

Christian W Feldmann, Jochen Sieg, Miriam Mathea

|Sep 17, 2024
MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn.

Jochen Sieg, Christian W Feldmann, Jennifer Hemmerich

|Aug 13, 2024
Transformers for Molecular Property Prediction: Lessons Learned from the Past Five Years.

Afnan Sultan, Jochen Sieg, Miriam Mathea

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Frequent Collaborators

3 joint publications

Jochen Sieg

3 joint publications

Johannes Kirchmair

3 joint publications

Christian W Feldmann

3 joint publications

Andrea Volkamer