DaNE: A Named Entity Resource for Danish R Hvingelby, AB Pauli, M Barrett, C Rosted, LM Lidegaard, A Søgaard Proceedings of The 12th Language Resources and Evaluation Conference, 4599-4606, 2020 | 49 | 2020 |
Multimodal deep learning C Akkus, L Chu, V Djakovic, S Jauch-Walser, P Koch, G Loss, ... arXiv preprint arXiv:2301.04856, 2023 | 36 | 2023 |
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias AV González, M Barrett, R Hvingelby, K Webster, A Søgaard Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 32 | 2020 |
The Danish Gigaword Corpus L Strømberg-Derczynski, M Ciosici, R Baglini, MH Christiansen, ... NoDaLiDa, 2021 | 29* | 2021 |
Deep Semi-Supervised Learning for Time Series Classification J Goschenhofer, R Hvingelby, D Rügamer, J Thomas, M Wagner, B Bischl 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021 | 18 | 2021 |
Danlp: An open-source toolkit for danish natural language processing AB Pauli, M Barrett, O Lacroix, R Hvingelby Proceedings of the 23rd Nordic Conference on Computational Linguistics …, 2021 | 9* | 2021 |
Towards a Gold Standard for Evaluating Danish Word Embeddings N Schneidermann, R Hvingelby, B Pedersen Proceedings of The 12th Language Resources and Evaluation Conference, 4756-4765, 2020 | 8 | 2020 |
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning S Gilhuber, R Hvingelby, MLA Fok, T Seidl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
Automated defect recognition in X-ray projections using neural networks trained on simulated and real-world data T Schön, B Gosswami, R Hvingelby, D Suth, LM Kemeter, P Sierak | 1 | 2023 |
Learning with Limited Labelled Data C Loeffler, R Hvingelby, J Goschenhofer Unlocking Artificial Intelligence: From Theory to Applications, 77-94, 2024 | | 2024 |
Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data LM Kemeter, R Hvingelby, P Sierak, T Schön, B Gosswam arXiv preprint arXiv:2406.19175, 2024 | | 2024 |