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Rasmus Hvingelby
Rasmus Hvingelby
CTO & Co-Founder @ Silvi
在 silvi.ai 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
492020
Multimodal deep learning
C Akkus, L Chu, V Djakovic, S Jauch-Walser, P Koch, G Loss, ...
arXiv preprint arXiv:2301.04856, 2023
362023
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
322020
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
182021
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
82020
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
12023
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
12023
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
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