| Crowdtruth: Machine-human computation framework for harnessing disagreement in gathering annotated data O Inel, K Khamkham, T Cristea, A Dumitrache, A Rutjes, J van der Ploeg, ... The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014 | 99 | 2014 |
| A survey of crowdsourcing in medical image analysis S Řrting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ... Human Computation 7 (1), 1-26, 2020 | 63 | 2020 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ... arXiv preprint arXiv:2207.10062, 2022 | 55 | 2022 |
| A checklist to combat cognitive biases in crowdsourcing T Draws, A Rieger, O Inel, U Gadiraju, N Tintarev Proceedings of the AAAI conference on human computation and crowdsourcing 9 …, 2021 | 52 | 2021 |
| DIVE into the event-based browsing of linked historical media V De Boer, J Oomen, O Inel, L Aroyo, E Van Staveren, W Helmich, ... Journal of Web Semantics 35, 152-158, 2015 | 41 | 2015 |
| Measuring crowd truth: Disagreement metrics combined with worker behavior filters G Soberón, L Aroyo, C Welty, O Inel, H Lin, M Overmeen CrowdSem 2013 Workshop 2, 2013 | 39 | 2013 |
| CrowdTruth 2.0: Quality metrics for crowdsourcing with disagreement A Dumitrache, O Inel, L Aroyo, B Timmermans, C Welty arXiv preprint arXiv:1808.06080, 2018 | 38 | 2018 |
| Time-aware multi-viewpoint summarization of multilingual social text streams Z Ren, O Inel, L Aroyo, M De Rijke Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 25 | 2016 |
| Empirical methodology for crowdsourcing ground truth A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo, C Welty Semantic Web 12 (3), 403-421, 2021 | 24 | 2021 |
| Domain-independent quality measures for crowd truth disagreement O Inel, L Aroyo, C Welty, RJ Sips Detection, Representation, and Exploitation of Events in the Semantic Web, 2, 2013 | 22* | 2013 |
| Harnessing Diversity in Crowds and Machines for Better NER Performance O Inel, L Aroyo Extended Semantic Web Conference, 289-304, 2017 | 18 | 2017 |
| Comprehensive viewpoint representations for a deeper understanding of user interactions with debated topics T Draws, O Inel, N Tintarev, C Baden, B Timmermans Proceedings of the 2022 Conference on Human Information Interaction and …, 2022 | 17 | 2022 |
| Studying topical relevance with evidence-based crowdsourcing O Inel, G Haralabopoulos, D Li, C Van Gysel, Z Szlávik, E Simperl, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 17 | 2018 |
| Enriching media collections for event-based exploration V De Boer, L Melgar, O Inel, CM Ortiz, L Aroyo, J Oomen Metadata and Semantic Research: 11th International Conference, MTSR 2017 …, 2017 | 16 | 2017 |
| Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces M Mulder, O Inel, J Oosterman, N Tintarev Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 15 | 2021 |
| Someone really wanted that song but it was not me! Evaluating Which Information to Disclose in Explanations for Group Recommendations S Najafian, O Inel, N Tintarev Proceedings of the 25th International Conference on Intelligent User …, 2020 | 15 | 2020 |
| Validation methodology for expert-annotated datasets: Event annotation case study O Inel, L Aroyo 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 | 14 | 2019 |
| Crowdsourcing StoryLines: Harnessing the crowd for causal relation annotation T Caselli, O Inel Events and Stories in the News, 44-54, 2018 | 14 | 2018 |
| Temporal Information Annotation: Crowd vs. Experts T Caselli, R Sprugnoli, O Inel Language Resources and Evaluation (LREC 2016), 3502-3509, 2016 | 10 | 2016 |
| From tools to “Recipes”: Building a media suite within the Dutch digital humanities infrastructure CLARIAH C Martinez-Ortiz, R Ordelman, M Koolen, JJ Noordegraaf, L Melgar, ... DH Benelux, 78-81, 2017 | 9 | 2017 |
Lora AroyoResearch Scientists @Google Research NYCVerified email at google.com
