| A Sentence Simplification System for Improving Relation Extraction C Niklaus, B Bermeitinger, S Handschuh, A Freitas arXiv preprint cs.CL/1703.09013, 2017 | 43 | 2017 |
| Singular Value Decomposition and Neural Networks B Bermeitinger, T Hrycej, S Handschuh 28th International Conference on Artificial Neural Networks (ICANN), 2019 | 22 | 2019 |
| Finbert-fomc: Fine-tuned finbert model with sentiment focus method for enhancing sentiment analysis of fomc minutes S Gössi, Z Chen, W Kim, B Bermeitinger, S Handschuh Proceedings of the Fourth ACM International Conference on AI in Finance, 357-364, 2023 | 16 | 2023 |
| Representational Capacity of Deep Neural Networks: A Computing Study B Bermeitinger, T Hrycej, S Handschuh Proceedings of the 11th International Joint Conference on Knowledge …, 2019 | 8 | 2019 |
| Deep watching: Towards new methods of analyzing visual media in cultural studies B Bermeitinger, S Gassner, S Handschuh, G Howanitz, E Radisch, ... Book of Abstracts, DH Conference, 2019 | 7 | 2019 |
| Object classification in images of Neoclassical furniture using Deep Learning B Bermeitinger, A Freitas, S Donig, S Handschuh Computational History and Data-Driven Humanities: Second IFIP WG 12.7 …, 2016 | 6 | 2016 |
| Mathematical Foundations of Data Science T Hrycej, B Bermeitinger, M Cetto, S Handschuh Springer, 2023 | 5 | 2023 |
| Deep Watching-Towards New Methods of Analyzing Visual Media in Cultural Studies G Howanitz, B Bermeitinger, E Radisch, G Sebastian, M Rehbein, ... Book of Abstracts of the International Digital Humanities Conference (DH), 2019 | 5 | 2019 |
| Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support R Gubelmann, M Burkhard, RV Ivanova, C Niklaus, B Bermeitinger, ... International Conference on Artificial Intelligence in Education, 175-182, 2024 | 4 | 2024 |
| How to compute a shape: optical character recognition for hieratic B Bermeitinger, SA Gülden, T Konrad Handbook of Digital Egyptology: Texts, 121--138, 2021 | 4 | 2021 |
| Artificial Neural Networks and Machine Learning—ICANN 2019: Deep Learning B Bermeitinger, T Hrycej, S Handschuh 28th International Conference on Artificial Neural Networks, Munich, Germany …, 2019 | 4 | 2019 |
| Specific Problems of Computer Vision T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 195-207, 2023 | 3 | 2023 |
| Training Neural Networks in Single vs. Double Precision T Hrycej, B Bermeitinger, S Handschuh Proceedings of the 14th International Joint Conference on Knowledge …, 2022 | 3 | 2022 |
| Number of Attention Heads vs. Number of Transformer-encoders in Computer Vision T Hrycej, B Bermeitinger, S Handschuh Proceedings of the 14th International Joint Conference on Knowledge …, 2022 | 3 | 2022 |
| Object Classification in Images of Neoclassical Artifacts Using Deep Learning B Bermeitinger, M Christoforaki, S Donig, S Handschuh arXiv preprint arXiv:1710.04943, 2017 | 3 | 2017 |
| Vom Bild zum Text und wieder zurück. S Donig, M Christoforaki, B Bermeitinger, S Handschuh DHd, 227-232, 2019 | 2 | 2019 |
| Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics S Donig, M Christoforaki, B Bermeitinger, S Handschuh arXiv preprint arXiv:2001.02372, 2020 | 1 | 2020 |
| A Multilingual Test Collection for the Semantic Search of Entity Categories JE Sales, S Barzegar, W Franco, B Bermeitinger, T Cunha, B Davis, ... Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 1 | 2018 |
| Bildanalyse durch Distant Viewing-zur Identifizierung von klassizistischem Mobiliar in Interieurdarstellungen S Donig, M Christoforaki, B Bermeitinger, S Handschuh DHd, 2018 | 1 | 2018 |
| Contextualizing Bandera: Ein Distant Watching Ansatz B Bermeitinger, G Howanitz, E Radisch DHd, 2018 | 1 | 2018 |
Siegfried HandschuhChair of Data Science and Natural Language Processing, University of St.GallenBestätigte E-Mail-Adresse bei unisg.ch
