Matthias Berking

According to our database, Matthias Berking authored at least 8 papers between 2015 and 2023.

Collaborative distances:

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

2023

Zero-shot personalization of speech foundation models for depressed mood monitoring.

Maurice Gerczuk, Andreas Triantafyllopoulos, Shahin Amiriparian, Alexander Kathan, Jonathan Bauer, Matthias Berking, Björn W. Schuller

Patterns, November, 2023

Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation.

Maurice Gerczuk, Shahin Amiriparian, Alexander Kathan, Jonathan Bauer, Matthias Berking, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data.

Misha Sadeghi, Bernhard Egger, Reza Agahi, Robert Richer, Klara Capito, Lydia Helene Rupp, Lena Schindler-Gmelch, Matthias Berking, Bjoern M. Eskofier

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Internet- and mobile-based psychological interventions for sexual dysfunctions: a systematic review and meta-analysis.

Anna-Carlotta Zarski, Julia Velten, Johannes Knauer, Matthias Berking, David D. Ebert

npj Digit. Medicine, 2022

Using the Consolidated Framework for Implementation Research to evaluate a nationwide depression prevention project (ImplementIT) from the perspective of health care workers and implementers: Results on the implementation of digital interventions for farmers.

Johanna Freund, David D. Ebert, Janika Thielecke, Lina Braun, Harald Baumeister, Matthias Berking, Ingrid Titzler

Frontiers Digit. Health, 2022

2019

Standalone smartphone apps for mental health - a systematic review and meta-analysis.

Kiona K. Weisel, Lukas M. Fuhrmann, Matthias Berking, Harald Baumeister, Pim Cuijpers, David D. Ebert

npj Digit. Medicine, 2019

2017

Assessment of temporal predictive models for health care using a formal method.

Ward van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking

Comput. Biol. Medicine, 2017

2015

An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care.

Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking

Proceedings of the Artificial Intelligence in Medicine, 2015