| A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023 | 729 | 2023 |
| Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic A Kruspe, M Haeberle, XX Zhu Workshop on NLP for COVID-19, Annual Meetings of the Association for …, 2020 | 96 | 2020 |
| An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music EJ Humphrey, S Reddy, P Seetharaman, A Kumar, RM Bittner, ... IEEE Signal Processing Magazine 36 (1), 82-94, 2018 | 50 | 2018 |
| Bootstrapping a system for phoneme recognition and keyword spotting in unaccompanied singing AM Kruspe Proceedings of 17th International Society for Music Information Retrieval …, 2016 | 45 | 2016 |
| An advanced dirichlet prior network for out-of-distribution detection in remote sensing J Gawlikowski, S Saha, A Kruspe, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 33 | 2022 |
| Robust filtering of crisis-related tweets J Kersten, A Kruspe, M Wiegmann, F Klan Information Systems for Crisis Response and Management (ISCRAM), 2019 | 33 | 2019 |
| Changes in Twitter geolocations: Insights and suggestions for future usage A Kruspe, M Häberle, EJ Hoffmann, S Rode-Hasinger, K Abdulahhad, ... arXiv preprint arXiv:2108.12251, 2021 | 31 | 2021 |
| Detection of actionable tweets in crisis events A Kruspe, J Kersten, F Klan Natural Hazards and Earth System Sciences 21 (6), 1825-1845, 2021 | 26 | 2021 |
| A Survey of Uncertainty in Deep Neural Networks, arXiv J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342, 2021 | 26 | 2021 |
| Deutsche Normungsroadmap Künstliche Intelligenz R Adler, S Kolomiichuk, D Hecker, P Lämmel, J Ma, A Marko, M Mock, ... DIN, 2020 | 25 | 2020 |
| Training phoneme models for singing with “songified” speech data AM Kruspe Proceedings of the 16th International Society for Music Information …, 2015 | 24* | 2015 |
| A survey of uncertainty in deep neural networks. arXiv 2021 J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342, 0 | 23 | |
| Automatic classification of musical pieces into global cultural areas A Kruspe, H Lukashevich, J Abeßer, H Großmann, C Dittmar Audio Engineering Society Conference: 42nd International Conference …, 2011 | 21 | 2011 |
| Detection of informative tweets in crisis events A Kruspe, J Kersten, F Klan Natural Hazards and Earth System Sciences (NHESS), 2021 | 19 | 2021 |
| Detecting event-related tweets by example using few-shot models A Kruspe, J Kersten, F Klan Information Systems for Crisis Response and Management (ISCRAM), 2019 | 18 | 2019 |
| Keyword spotting in a-capella singing AM Kruspe Proceedings of the 15th International Society for Music Information …, 2014 | 18* | 2014 |
| A survey of uncertainty in deep neural networks. 2021 J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342, 0 | 18 | |
| Retrieval of textual song lyrics from sung inputs AM Kruspe INTERSPEECH, 2016 | 15* | 2016 |
| Few-shot tweet detection in emerging disaster events A Kruspe AI+HADR Workshop, Conference on Neural Information Processing Systems …, 2019 | 13 | 2019 |
| Geoinformation Harvesting From Social Media Data: A community remote sensing approach XX Zhu, Y Wang, M Kochupillai, M Werner, M Häberle, EJ Hoffmann, ... IEEE Geoscience and Remote Sensing Magazine 10 (4), 150-180, 2022 | 12 | 2022 |
Xiao Xiang ZhuTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de
