Robert-Jan Sips
Robert-Jan Sips
myTomorrows
Geverifieerd e-mailadres voor mytomorrows.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
762014
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
732016
“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
372013
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
20*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
152019
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
122014
Empirically-derived Methodology for Crowdsourcing Ground Truth
A Dumitrache, O Inel, B Timmermans, C Ortiz, RJ Sips, L Aroyo
10*
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
92016
Decision support framework for opening business data
A Buda, J Ubacht, M Janssen, RJ Sips
82015
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
6*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
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
42016
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
42013
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
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
12019
Crowdsourcing for Video Event Detection
R IEPSMA, T GEVERS, O INEL, L AROYO, RJAN SIPS, Z SZLAVIK
Collective Intelligence, 2017
12017
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20