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Books and Theses
- 2017
[b1]Julien Pilourdault:
Scalable algorithms for monitoring activity traces. (Algorithmes pour le monitoring de traces d'activité à grande échelle). Grenoble Alpes University, France, 2017
Journal Articles
- 2018
- [j1]Maha Alsayasneh
, Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama, Jean-Michel Renders:
Personalized and Diverse Task Composition in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(1): 128-141 (2018)
Conference and Workshop Papers
- 2018
- [c4]Julien Pilourdault, Sihem Amer-Yahia, Senjuti Basu Roy, Dongwon Lee:
Task Relevance and Diversity as Worker Motivation in Crowdsourcing. ICDE 2018: 365-376 - 2017
- [c3]Julien Pilourdault, Sihem Amer-Yahia, Dongwon Lee, Senjuti Basu Roy:
Motivation-Aware Task Assignment in Crowdsourcing. EDBT 2017: 246-257 - 2016
- [c2]Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. DSAA 2016: 194-203 - [c1]Julien Pilourdault, Vincent Leroy, Sihem Amer-Yahia:
Distributed Evaluation of Top-k Temporal Joins. SIGMOD Conference 2016: 1027-1039
Coauthor Index
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