Abel, Julia

M.Sc.

Positionen

Mitarbeiterin, Fachgruppe Mathematik, Fakultät Angewandte Computer- und Biowissenschaften

Forschungsschwerpunkt

Angewandte Informatik Forschungsschwerpunkt

ausgewählte Veröffentlichungen

Journalartikel
- Alignment-free sequence comparison: A systematic survey from a machine learning perspective. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 119-135. 2022
- The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers. Entropy. 1357. 2021
- Detection of native and mirror protein structures based on Ramachandran plot analysis by interpretable machine learning models. bioRxiv. 2020

Präsentationen

Vortrag
- Core me maybe. Building a core lab in Mittweida., Sprecherin, 18th Mittweida Workshop on Computational Intelligence 2026 2026
- Core me maybe. Building a core lab in Mittweida., Sprecherin, während Geeky biOinformatics And opTimization workShop (GOATS) 2026
- Core me maybe. Building a core lab in Mittweida., Sprecherin, während International Colloquium Lessach (ICOLE) 2026
- On the search for useful features – for Machine Learning, Sprecherin, während International Colloquium Lessach (ICOLE) 2022
- Prediction of ADMET properties of molecules using LVQ variants, Sprecherin, während 6th International Workshop on BioInformatics meets Machine Learning (Workshop) 2022
- How to knit - with data, Sprecherin, während International Colloquium Lessach (ICOLE) 2021
- Prediction of quadruplex secondary structure topologies by means of sequence mutual information functions and interpretable machine learning models, Sprecherin, während 36th German Conference on Bioinformatics 2021
Konferenzposter
- Enforcing sparseness in biologically informed shallow networks for improved interpretability, Präsentatorin, während 40th German Conference on Bioinformatics 2026
- Enforcing sparseness in biologically informed shallow networks for improved interpretability, Präsentatorin, während 2nd AI and Biology 2026
- Interpretable Machine Learning for the Prediction of Pharmacological Properties of Small Molecules, Präsentatorin, während German Conference on Bioinformatics 2022 2022

hat Teilnehmerrolle

ORCID iD

https://orcid.org/0000-0002-2659-0403 (bestätigt)

vollständiger Name

Julia Weber

zugehörig zur Einrichtung

6-201

KoautorInnen-Netzwerk

Kontaktdaten

+49 3727 582305