Prof Dr. Seung Hee Yang

2023

• Oppelt, M.P., Foltyn, A., Deuschel, J., Lang, N.R., Holzer, N., Eskofier, B., & Yang, S.H. (2023). ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors, 23(1). https://dx.doi.org/10.3390/s23010340

2022

• Demir, K., May, M., Schmid, A., Uder, M., Breininger, K., Weise, T.,... Yang, S.H. (2022). PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 464-475). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
• Hernandez, A., Klumpp, P., Das, B.K., Maier, A., & Yang, S.H. (2022). Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech. In Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings (pp. 291-300). Brno, Czech Republic, CZ: Springer Nature Switzerland AG: Springer Cham.
• Hernandez, A., Pérez Toro, P.A., Nöth, E., Orozco Arroyave, J.R., Maier, A., & Yang, S.H. (2022). Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. In Proceedings of Interspeech 2022 (pp. 51-55). Seoul, KR.
• Maier, A., Köstler, H., Heisig, M., Krauss, P., & Yang, S.H. (2022). Known operator learning and hybrid machine learning in medical imaging - A review of the past, the present, and the future. Progress in Biomedical Engineering, 4(2). https://dx.doi.org/10.1088/2516-1091/ac5b13
• Maier, A., Yang, S.H., Maleki, F., Muthukrishnan, N., & Forghani, R. (2022). Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 345-350). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
• Sindel, A., Hernandez, A., Yang, S.H., Christlein, V., & Maier, A. (2022). SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks. In Proceedings of the OAGM Workshop 2021. Computer Vision and Pattern Analysis Across Domains. Verlag der Technischen Universität Graz.

2021

• Hernandez, A., & Yang, S.H. (2021). Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in Machine Learning. In Multimodal Corpus Analysis of Autoblog 2020: Lecture Videos in Machine Learning. Online: Springer.

2020

• Yang, S.H., & Chung, M. (2020). Improving Dysarthric Speech Intelligibility using Cycle-consistent Adversarial Training. In Pedro Gomez Vilda, Ana Fred, Hugo Gamboa (Eds.), BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 (pp. 308-313). Valletta, MT: SciTePress.