Robert-Jan Sips
Robert-Jan Sips
myTomorrows
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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, ...
International semantic web conference, 486-504, 2014
822014
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
782016
“Dr. Detective”: combining gamification techniques and crowdsourcing to create a gold standard in medical text
A Dumitrache, L Aroyo, C Welty, RJ Sips, A Levas
Proceedings of the 1st International Workshop on Crowdsourcing the Semantic …, 2013
402013
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
22*2013
Evaluating neural text simplification in the medical domain
L Van den Bercken, RJ Sips, C Lofi
The World Wide Web Conference, 3286-3292, 2019
182019
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
152014
Empirically-derived Methodology for Crowdsourcing Ground Truth
A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo
14*2020
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
112016
Decision support framework for opening business data
A Buda, J Ubacht, M Janssen, RJ Sips
ECEG2016-Proceedings of 16th European Conference on e-Government ECEG 2016, 29, 2016
82016
Applying intention-based guidelines for critiquing
R Sips, L Braun, N Roos
ECAI, 83-8, 2006
8*2006
Nudge your workforce. a study on the effects of task notification strategies in enterprise mobile crowdsourcing
S Bashirieh, S Mesbah, J Redi, S SzlĂąvik, RJ Sips
International Conference on User Modelling, Adaption and Personalisation (UMAP), 2017
7*2017
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
62014
The inclusive enterprise: Vision and roadmap
RJ Sips, A Bozzon, G Smit, GJ Houben
International Conference on Web Engineering, 621-624, 2015
52015
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
52013
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
42019
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
32016
Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts
E Manousogiannis, S Mesbah, A Bozzon, S Baez, RJ Sips
Proceedings of the Fourth Social Media Mining for Health Applications …, 2019
22019
ENABLING MEDICAL EXPERT CRITIQUING USING A BDI APPROACH
RJ Sipsa, L Brauna, N Roosa
Proc. BeNeLux conf. artif. intell. 2006, 2006
2*2006
Enabling protocol-based medical critiquing
A Hasman
Ubiquity: technologies for better health in aging societies: proceedings of …, 2006
2*2006
Crowdsourcing for Video Event Detection
R IEPSMA, T GEVERS, O INEL, L AROYO, RJAN SIPS, Z SZLAVIK
Collective Intelligence, 2017
12017
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Artikelen 1–20