Jakub M. Bartoszewicz

According to our database, Jakub M. Bartoszewicz authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Beware of Data Leakage from Protein LLM Pretraining.

Leon Hermann, Tobias Fiedler, Hoang An Nguyen, Melania Nowicka, Jakub M. Bartoszewicz

Proceedings of the Machine Learning in Computational Biology, 2024

2023

Evaluating Tuning Strategies for Sequence Generation with Protein Language Models.

Andrea Nathansen, Kevin Klein, Bernhard Y. Renard, Melania Nowicka, Jakub M. Bartoszewicz

Proceedings of the Machine Learning in Computational Biology, November 30, 2023

2022

Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences

Jakub M. Bartoszewicz

PhD thesis, 2022

CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance.

Alice Wittig, Fábio Miranda, Martin Hölzer, Tom Altenburg, Jakub M. Bartoszewicz, Sebastian Beyvers, Marius A. Dieckmann, Ulrich Genske, Sven H. Giese, Melania Nowicka, Hugues Richard, Henning Schiebenhoefer, Anna-Juliane Schmachtenberg, Paul Sieben, Ming Tang, Julius Tembrockhaus, Bernhard Y. Renard, Stephan Fuchs

Bioinform., 2022

Detecting DNA of novel fungal pathogens using ResNets and a curated fungi-hosts data collection.

Jakub M. Bartoszewicz, Ferdous Nasri, Melania Nowicka, Bernhard Y. Renard

Bioinform., 2022

2021

Deep learning-based real-time detection of novel pathogens during sequencing.

Jakub M. Bartoszewicz, Ulrich Genske, Bernhard Y. Renard

Briefings Bioinform., 2021

2020

DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.

Jakub M. Bartoszewicz, Anja Seidel, Robert Rentzsch, Bernhard Y. Renard

Bioinform., 2020