| Work and play: An experiment in enterprise gamification LC Stanculescu, A Bozzon, RJ Sips, GJ Houben Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016 | 124 | 2016 |
| 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 | 110 | 2014 |
| Evaluating neural text simplification in the medical domain L Van den Bercken, RJ Sips, C Lofi The World Wide Web Conference, 3286-3292, 2019 | 82 | 2019 |
| Dr. Detective: combining gamification techniques and crowdsourcing to create a gold standard for the medical domain A Dumitrache, L Aroyo, C Welty, RJ Sips, A Levas Crowdsourcing the Semantic Web, 2013 | 51 | 2013 |
| Empirically-derived Methodology for Crowdsourcing Ground Truth A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo | 28* | 2020 |
| Decision support framework for opening business data A Buda, J Ubacht, M Janssen, RJ Sips ECEG2016-Proceedings of 16th European Conference on e-Government, 29, 2016 | 18 | 2016 |
| Online social network evolution: Revisiting the Twitter graph H Efstathiades, D Antoniades, G Pallis, MD Dikaiakos, Z Szlávik, RJ Sips 2016 IEEE International Conference on Big Data (Big Data), 626-635, 2016 | 17 | 2016 |
| Utilizing data mining for predictive modeling of colorectal cancer using electronic medical records M Hoogendoorn, LMG Moons, ME Numans, RJ Sips International Conference on Brain Informatics and Health, 132-141, 2014 | 15 | 2014 |
| Domain-independent quality measures for crowd truth disagreement O Inel13, L Aroyo, C Welty, RJ Sips Detection, Representation, and Exploitation of Events in the Semantic Web, 2, 2013 | 14 | 2013 |
| Training data augmentation for detecting adverse drug reactions in user-generated content S Mesbah, J Yang, RJ Sips, MV Torre, C Lofi, A Bozzon, GJ Houben Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 13 | 2019 |
| Nudge your workforce. a study on the effects of task notification strategies in enterprise mobile crowdsourcing S Bashirieh, S Mesbah, Z Szlávik, RJ Sips, J Redi, A Bozzon, PG Lopez, ... Proceedings of 25th International Conference on User Modelling, Adaption and …, 2017 | 10* | 2017 |
| Applying intention-based guidelines for critiquing R Sips, L Braun, N Roos ECAI, 83-8, 2006 | 9* | 2006 |
| Exploiting Crowdsourcing Disagreement with Various Domain-Independent Quality Measures OA Inel, LM Aroyo, C Welty, RJ Sips DeRiVE 2013 Workshop, ISWC, 2013 | 8 | 2013 |
| Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts E Manousogiannis, S Mesbah, A Bozzon, SB Santamaría, RJ Sips Proceedings of the Fourth Social Media Mining for Health Applications …, 2019 | 7 | 2019 |
| A study of the online profile of enterprise users in professional social networks A Bozzon, H Efstathiades, GJ Houben, RJ Sips Proceedings of the 23rd International Conference on World Wide Web, 487-492, 2014 | 6 | 2014 |
| Crowdsourcing ground truth data for analysing brainstem tumors in children B Timmermans, Z Szlavik, RJ Sips Proceedings of the 28th Benelux Conference on Artificial Intelligence …, 2016 | 5 | 2016 |
| Crowd watson: Crowdsourced text annotations H Lin, O Inel, G Soberón, L Aroyo, C Welty, M Overmeen, RJ Sips Technical report, VU University Amsterdam, 2013 | 4 | 2013 |
| Evaluating medical lexical simplification: rule-based vs. BERT L Tran, E Velazquez, RJ Sips, V de Boer Public Health and Informatics, 1023-1024, 2021 | 3 | 2021 |
| What do You Mean, Doctor? A Knowledge-based Approach for Word Sense Disambiguation of Medical Terminology. EV Godinez, Z Szlávik, E Contempré, RJ Sips HEALTHINF, 273-280, 2021 | 3 | 2021 |
| Language Identification for Short Medical Texts. EV Godinez, Z Szlávik, SB Santamaría, RJ Sips HEALTHINF, 399-406, 2020 | 3 | 2020 |
Lora AroyoResearch Scientists @Google Research NYCVerified email at google.com
