Jonathan Bauer

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Lehrstuhl für Klinische Psychologie und Psychotherapie (KliPs)
Comparison of speech elicitation tasks for machine learning-based depression classification (2025) Bauer J, Gerczuk M, Schuller B, Berking M Conference contribution Prosody-focused feedback enhances the efficacy of anti-depressive self-statements in depressed individuals – A randomized controlled trial (2024) Bauer J, Schindler-Gmelch L, Gerczuk M, Schuller B, Berking M Journal article Optimizing speech elicitation tasks for machine learning-based depression assessment (2024) Bauer J, Gerczuk M, Schuller BW, Berking M Conference contribution Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care (2024) Bauer J, Gerczuk M, Schindler-Gmelch L, Amiriparian S, Ebert DD, Krajewski J, Schuller BW, Berking M Journal article Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation (2023) Gerczuk M, Amiriparian S, Kathan A, Bauer J, Berking M, Schuller BW Conference contribution Zero-shot personalization of speech foundation models for depressed mood monitoring (2023) Gerczuk M, Triantafyllopoulos A, Amiriparian S, Kathan A, Bauer J, Berking M, Schuller BW Journal article Personalised Deep Learning for Monitoring Depressed Mood from Speech (2022) Gerczuk M, Triantafyllopoulos A, Amiriparian S, Kathan A, Bauer J, Berking M, Schuller B Conference contribution High avoidance and low approach motivation affect cognitive reappraisal generation in the face of anger (2021) Perchtold-Stefan CM, Fink A, Bauer JF, Rominger C, Papousek I Journal article