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ORCIDMichael Danner
- > Home > Persons > Michael Danner
Publications
- 2024
[j3]Shang Aiguo, Xinjuan Zhu
, Michael Danner, Matthias Rätsch:
Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. Comput. Speech Lang. 87: 101644 (2024)- [j2]Julia Ohse, Bakir Hadzic, Parvez Mohammed, Nicolina Laura Peperkorn, Michael Danner, Akihiro Yorita, Naoyuki Kubota, Matthias Rätsch, Youssef Shiban:
Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. Comput. Speech Lang. 88: 101663 (2024) - [j1]Xueping Su, Jiawei Duan, Jie Ren, Yunhong Li, Michael Danner, Matthias Rätsch, Jinye Peng:
Personalized clothing recommendation fusing the 4-season color system and users' biological characteristics. Multim. Tools Appl. 83(5): 12597-12625 (2024) - [c13]Bakir Hadzic, Julia Ohse, Michael Danner, Nicolina Laura Peperkorn, Parvez Mohammed, Youssef Shiban, Matthias Rätsch:
AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 500-507 - 2023
- [c12]Michael Danner, Bakir Hadzic, Thomas Weber, Xinjuan Zhu, Matthias Rätsch:
Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application. DeLTA 2023: 308-325 - [c11]Michael Danner, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler:
GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. DeLTA 2023: 403-418 - [c10]Michael Danner, Elena Alida Brake, Christian Decker, Matthias Rätsch, Yordan Kyosev, Katerina Rose:
Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry. ICINCO (1) 2023: 727-735 - [c9]Shang Aiguo, Michael Danner, Xinjuan Zhu, Matthias Rätsch:
TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning. SICE 2023: 610-615 - [c8]Michael Danner, Bakir Hadzic, Sophie Gerhardt, Simon Ludwig, Irem Uslu, Peng Shao, Thomas Weber, Youssef Shiban, Matthias Rätsch:
Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection. SICE 2023: 1290-1296 - [c7]Michael Danner, Bakir Hadzic, Robert Radloff, Xueping Su, Le Ping Peng, Thomas Weber, Matthias Rätsch:
Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets. VISIGRAPP (5: VISAPP) 2023: 464-471 - 2022
- [c6]Michael Danner, Thomas Weber, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler:
Evolutional Normal Maps: 3D Face Representations for 2D-3D Face Recognition, Face Modelling and Data Augmentation. VISIGRAPP (5: VISAPP) 2022: 267-274 - [c5]Thomas Weber, Michael Danner, Bo Zhang, Matthias Rätsch, Andreas Zell:
Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data. VISIGRAPP (4: VISAPP) 2022: 984-990 - 2021
- [i1]Michael Danner, Thomas Weber, Le Ping Peng, Tobias Gerlach, Xueping Su, Matthias Rätsch:
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction. CoRR abs/2111.05149 (2021) - 2020
- [c4]Michael Danner, Patrik Huber, Muhammad Awais, Zhenhua Feng, Josef Kittler, Matthias Rätsch:
Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction. VISIGRAPP (5: VISAPP) 2020: 420-427 - [c3]Tobias Gerlach, Michael Danner, Le Ping Peng, Aidas Kaminickas, Wu Fei, Matthias Rätsch:
Who Loves Virtue as much as He Loves Beauty?: Deep Learning based Estimator for Aesthetics of Portraits. VISIGRAPP (5: VISAPP) 2020: 521-528 - 2017
- [c2]Thomas Weber, Sergey Triputen, Michael Danner, Sascha Braun, Kristiaan Schreve, Matthias Rätsch:
Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics. RoboCup 2017: 156-167
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