Matthes, Florian

Modeling the language of life – Deep Learning Protein Sequences

Heinzinger, M., Elnaggar, A., Wang, Y., Dallago, C., Nechaev, D., Matthes, F., & Rost, B. (2019) · BMC Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 606

Modeling aspects of the language of life through transfer-learning protein sequences

Heinzinger, M., Elnaggar, A., Wang, Y., Dallago, C., Nechaev, D., Matthes, F., & Rost, B. (2019) · BMC Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 606

From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling

Sandkuhl, K., Fill, H.-G., Hoppenbrouwers, S., Krogstie, J., Matthes, F., Opdahl, A., Schwabe, G., Uludag, Ö., & Winter, R. (2018) · Business & Information Systems Engineering

Business Process Modeling and AnalysisInformation Technology Governance and Strategy

Cited by 111

DID and VC: Untangling Decentralized Identifiers and Verifiable Credentials for the Web of Trust

Brunner, C., Gallersdörfer, U., Knirsch, F., Engel, D., & Matthes, F. (2020) · 2020 the 3rd International Conference on Blockchain Technology and Applications

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 72

A Taxonomy of Decentralized Identifier Methods for Practitioners

Hoops, F., Mühle, A., Matthes, F., & Meinel, C. (2023) · 2023 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 8

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs

Vladika, J., Domres, A., Nguyen, M., Moser, R., Nano, J., Busch, F., Adams, L. C., Bressem, K. K., Bernhardt, D., Combs, S. E., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 1