| A transformer-based framework for multivariate time series representation learning G Zerveas, S Jayaraman, D Patel, A Bhamidipaty, C Eickhoff Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 286 | 2021 |
| Quality through flow and immersion: gamifying crowdsourced relevance assessments C Eickhoff, CG Harris, AP de Vries, P Srinivasan Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 285 | 2012 |
| Increasing cheat robustness of crowdsourcing tasks C Eickhoff, AP de Vries Information retrieval 16, 121-137, 2013 | 251 | 2013 |
| Machine learning for real-time prediction of complications in critical care: a retrospective study A Meyer, D Zverinski, B Pfahringer, J Kempfert, T Kuehne, ... The Lancet Respiratory Medicine 6 (12), 905-914, 2018 | 247 | 2018 |
| How much spam can you take? an analysis of crowdsourcing results to increase accuracy J Vuurens, AP de Vries, C Eickhoff Proc. ACM SIGIR Workshop on Crowdsourcing for Information Retrieval (CIR’11 …, 2011 | 177 | 2011 |
| Lessons from the journey: a query log analysis of within-session learning C Eickhoff, J Teevan, R White, S Dumais Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 155 | 2014 |
| Probabilistic bag-of-hyperlinks model for entity linking OE Ganea, M Ganea, A Lucchi, C Eickhoff, T Hofmann Proceedings of the 25th International Conference on World Wide Web, 927-938, 2016 | 152 | 2016 |
| How crowdsourcable is your task C Eickhoff, A de Vries Proceedings of the workshop on crowdsourcing for search and data mining …, 2011 | 135 | 2011 |
| Cognitive biases in crowdsourcing C Eickhoff Proceedings of the eleventh ACM international conference on web search and …, 2018 | 128 | 2018 |
| The where in the tweet W Li, P Serdyukov, AP de Vries, C Eickhoff, M Larson Proceedings of the 20th ACM international conference on Information and …, 2011 | 112 | 2011 |
| Overview of ImageCLEF 2018: Challenges, datasets and evaluation B Ionescu, H Müller, M Villegas, A García Seco de Herrera, C Eickhoff, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018 | 77 | 2018 |
| Overview of ImageCLEF 2017: Information extraction from images B Ionescu, H Müller, M Villegas, H Arenas, G Boato, DT Dang-Nguyen, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 71 | 2017 |
| Overview of ImageCLEFcaption 2017–image caption prediction and concept detection for biomedical images C Eickhoff, I Schwall, A Garcia Seco De Herrera, H Müller CLEF 2017 working Notes 1866 (Workin), 2017 | 69 | 2017 |
| Neural document embeddings for intensive care patient mortality prediction P Grnarova, F Schmidt, SL Hyland, C Eickhoff arXiv preprint arXiv:1612.00467, 2016 | 60 | 2016 |
| Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance N Rank, B Pfahringer, J Kempfert, C Stamm, T Kühne, F Schoenrath, ... NPJ digital medicine 3 (1), 139, 2020 | 52 | 2020 |
| Overview of the ImageCLEF 2018 caption prediction tasks A García Seco de Herrera, C Eickhof, V Andrearczyk, H Müller Working Notes of CLEF 2018-Conference and Labs of the Evaluation Forum (CLEF …, 2018 | 51 | 2018 |
| An eye-tracking study of query reformulation C Eickhoff, S Dungs, V Tran Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 45 | 2015 |
| Personalizing atypical web search sessions C Eickhoff, K Collins-Thompson, PN Bennett, S Dumais Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 42 | 2013 |
| Web2text: Deep structured boilerplate removal T Vogels, OE Ganea, C Eickhoff Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 40 | 2018 |
| On the effect of low-frequency terms on neural-IR models S Hofstätter, N Rekabsaz, C Eickhoff, A Hanbury Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 37 | 2019 |
Arjen P. de VriesRadboud UniversiteitE-mail megerősítve itt: cs.ru.nl
