Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. - Ana Valeria González-Garduño; Maria Barrett; Rasmus Hvingelby; Kellie Webster; Anders Søgaard (EMNLP (1), 2020)

DaNE: A Named Entity Resource for Danish. - Rasmus Hvingelby; Amalie Brogaard Pauli; Maria Barrett; Christina Rosted; Lasse Malm Lidegaard; Anders Søgaard (LREC, 2020)

Towards a Gold Standard for Evaluating Danish Word Embeddings. - Nina Schneidermann; Rasmus Hvingelby; Bolette S. Pedersen (LREC, 2020)

The Danish Gigaword Project. - 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; et al. (CoRR, 2020)

Deep Semi-supervised Learning for Time Series Classification. - Jann Goschenhofer; Rasmus Hvingelby; David Rügamer; Janek Thomas; Moritz Wagner 001; Bernd Bischl (ICMLA, 2021)

DaNLP: An open-source toolkit for Danish Natural Language Processing. - Amalie Brogaard Pauli; Maria Barrett; Ophélie Lacroix; Rasmus Hvingelby (NoDaLiDa, 2021)

The Danish Gigaword Corpus. - 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; et al. (NoDaLiDa, 2021)

How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. - Sandra Gilhuber; Rasmus Hvingelby; Mang Ling Ada Fok; Thomas Seidl 001 (ECML/PKDD (2), 2023)

Multimodal Deep Learning. - 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; et al. (CoRR, 2023)

Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data. - Lukas Malte Kemeter; Rasmus Hvingelby; Paulina Sierak; Tobias Schön; Bishwajit Gosswam (CoRR, 2024)