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1 |
Artificial intelligence and machine learning in pediatric endocrine tumors: opportunities, pitfalls, and a roadmap for trustworthy clinical translation
Kuhlen, Michaela. - Augsburg : Universität Augsburg, 2026
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2 |
Application of multimodal self-supervised architectures for daily life affect recognition
Can, Yekta Said. - Augsburg : Universität Augsburg, 2025
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3 |
Artificial intelligence-based tools for precision diagnosis and treatment of neurofibromatosis type 1 associated peripheral and central glial tumors
Hellmann, Fabio. - Augsburg : Universität Augsburg, 2025
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4 |
Assessment of forest microclimates in different urban forest structures in Augsburg, Germany [Abstract]
Beck, Christoph. - Augsburg : Universität Augsburg, 2025
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5 |
Benchmarking Perturbation-Based Saliency Maps for Explaining Atari Agents
Huber, Tobias. - Ingolstadt : Technische Hochschule Ingolstadt, 2025
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6 |
Communicating through avatars in Industry 5.0: a focus group study on human-robot collaboration
Klein, Stina. - Augsburg : Universität Augsburg, 2025
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7 |
Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions
Eberhardt, Steffen T.. - Augsburg : Universität Augsburg, 2025
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8 |
DISCOVER: a data-driven interactive system for comprehensive observation, visualization, and exploration of human behavior
Hallmen, Tobias. - Augsburg : Universität Augsburg, 2025
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9 |
Explainable cooperative machine learning - an approach towards comprehensible machine learning for non-verbal behaviour analysis
Heimerl, Alexander. - Augsburg : Universität Augsburg, 2025
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10 |
Fast Dynamic Difficulty Adjustment for Intelligent Tutoring Systems with Small Datasets
Schütt, Anan. - Ingolstadt : Technische Hochschule Ingolstadt, 2025
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Administration
