| MultiFC: A real-world multi-domain dataset for evidence-based fact checking of claims I Augenstein, C Lioma, D Wang, LC Lima, C Hansen, C Hansen, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 | 193 | 2019 |
| Contextual and sequential user embeddings for large-scale music recommendation C Hansen, C Hansen, L Maystre, R Mehrotra, B Brost, F Tomasi, ... Proceedings of the 14th ACM Conference on Recommender Systems, 53-62, 2020 | 92 | 2020 |
| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 3246, 2021 | 76 | 2021 |
| Predicting distresses using deep learning of text segments in annual reports R Matin, C Hansen, C Hansen, P Mølgaard Expert Systems with Applications 132, 199-208, 2019 | 65 | 2019 |
| Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking C Hansen, C Hansen, S Alstrup, J Grue Simonsen, C Lioma Companion proceedings of the 2019 world wide web conference, 994-1000, 2019 | 51 | 2019 |
| Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss. C Hansen, C Hansen, JG Simonsen, C Lioma CLEF-2019 Fact Checking Lab, 2019 | 42 | 2019 |
| Content-aware neural hashing for cold-start recommendation C Hansen, C Hansen, JG Simonsen, S Alstrup, C Lioma Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 41 | 2020 |
| 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 … C Hansen, C Hansen, JG Simonsen, C Lioma CLEF-2018 Fact Checking Lab, 2018 | 38 | 2018 |
| Motion correction in simultaneous PET/MR brain imaging using sparsely sampled MR navigators: a clinically feasible tool SH Keller, C Hansen, C Hansen, FL Andersen, C Ladefoged, C Svarer, ... EJNMMI physics 2, 1-7, 2015 | 34 | 2015 |
| Sequence Modelling For Analysing Student Interaction with Educational Systems C Hansen, C Hansen, N Hjuler, S Alstrup, C Lioma 10th International Conference on Educational Data Mining (EDM), 232-237, 2017 | 32 | 2017 |
| Neural Speed Reading with Structural-Jump-LSTM C Hansen, C Hansen, S Alstrup, JG Simonsen, C Lioma 7th International Conference on Learning Representations (ICLR), 2018 | 31 | 2018 |
| Shifting consumption towards diverse content on music streaming platforms C Hansen, R Mehrotra, C Hansen, B Brost, L Maystre, M Lalmas Proceedings of the 14th ACM international conference on web search and data …, 2021 | 30 | 2021 |
| Unsupervised neural generative semantic hashing C Hansen, C Hansen, JG Simonsen, S Alstrup, C Lioma Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 27 | 2019 |
| Unsupervised semantic hashing with pairwise reconstruction C Hansen, C Hansen, JG Simonsen, S Alstrup, C Lioma Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 20 | 2020 |
| Modelling sequential music track skips using a multi-rnn approach C Hansen, C Hansen, S Alstrup, JG Simonsen, C Lioma 12th ACM International Conference on Web Search and Data Mining (WSDM), WSDM Cup, 2019 | 14 | 2019 |
| Automatic Fake News Detection: Are Models Learning to Reason? C Hansen, C Hansen, LC Lima ACL-IJCNLP 2021: The Joint Conference of the 59th Annual Meeting of the …, 2021 | 13 | 2021 |
| Factuality checking in news headlines with eye tracking C Hansen, C Hansen, JG Simonsen, B Larsen, S Alstrup, C Lioma Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 12 | 2020 |
| Unsupervised Multi-Index Semantic Hashing C Hansen, C Hansen, JG Simonsen, S Alstrup, C Lioma The Web Conference 2021 (WWW), 2021 | 10 | 2021 |
| Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering C Hansen, C Hansen, JG Simonsen, C Lioma The Web Conference 2021 (WWW), 2021 | 7 | 2021 |
| Smart city analytics: Ensemble-learned prediction of citizen home care C Hansen, C Hansen, S Alstrup, C Lioma Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 6 | 2017 |
