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2020 – today
- 2024
[i6]Lukas Malte Kemeter, Rasmus Hvingelby, Paulina Sierak, Tobias Schön, Bishwajit Gosswam:
Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data. CoRR abs/2406.19175 (2024)- 2023
- [c7]Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl:
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. ECML/PKDD (2) 2023: 330-347 - [i5]Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher:
Multimodal Deep Learning. CoRR abs/2301.04856 (2023) - [i4]Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl:
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning. CoRR abs/2308.08224 (2023) - 2021
- [c6]Jann Goschenhofer, Rasmus Hvingelby
, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl:
Deep Semi-supervised Learning for Time Series Classification. ICMLA 2021: 422-428 - [c5]Leon Derczynski, Manuel R. Ciosici, Rebekah Baglini, Morten H. Christiansen, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Jens Madsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab:
The Danish Gigaword Corpus. NoDaLiDa 2021: 413-421 - [c4]Amalie Brogaard Pauli, Maria Barrett, Ophélie Lacroix, Rasmus Hvingelby:
DaNLP: An open-source toolkit for Danish Natural Language Processing. NoDaLiDa 2021: 460-466 - [i3]Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl:
Deep Semi-Supervised Learning for Time Series Classification. CoRR abs/2102.03622 (2021) - 2020
- [c3]Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard:
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. EMNLP (1) 2020: 2637-2648 - [c2]Rasmus Hvingelby, Amalie Brogaard Pauli, Maria Barrett, Christina Rosted, Lasse Malm Lidegaard, Anders Søgaard:
DaNE: A Named Entity Resource for Danish. LREC 2020: 4597-4604 - [c1]Nina Schneidermann, Rasmus Hvingelby, Bolette S. Pedersen:
Towards a Gold Standard for Evaluating Danish Word Embeddings. LREC 2020: 4754-4763 - [i2]Leon Derczynski, Rebekah Baglini, Morten H. Christiansen, Manuel R. Ciosici, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab:
The Danish Gigaword Project. CoRR abs/2005.03521 (2020) - [i1]Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard:
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. CoRR abs/2009.11982 (2020)
Coauthor Index
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