Casper Hansen
Research assistant
Machine Learning
Universitetsparken 1, 2100 København Ø
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Modelling Sequential Music Track Skips using a Multi-RNN Approach
Hansen, Christian, Hansen, Casper, Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Sequence Modeling for Analysing Student Interaction with Educational Systems
Hansen, Christian, Hansen, Casper, Hjuler, N. O. D., Alstrup, Stephen & Lioma, Christina, 25 Jun 2017, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (eds.). International Educational Data Mining Society (IEDMS), p. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, Casper, Hansen, Christian, Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, Stephan Sloth, Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, Hans-Christian, Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, Akshay Sadananda Uppinakudru, Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In : Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
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Predicting distresses using deep learning of text segments in annual reports
Matin, R., Hansen, Casper, Hansen, Christian & Mølgaard, P., 2019, In : Expert Systems with Applications. 132, p. 199-208 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 135833388
Most downloads
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236
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Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
158
downloads
The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
74
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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published