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FabSpaces at ImageCLEF 2017 - Population Estimation (Remote) Task

Arenas, Helbert and Baker, Aurélie and Bargiel, Damian and Becker, Matthias and Bialczak, Anna and Carbone, Francesco and Gaildrat, Véronique and Heising, Sascha and Islam, Md Bayzidul and Lattes, Philippe and Marantos, Charalampos and Menou, Colette and Mothe, Josiane and Nzeh Ngong, Aude and Paraskevas, Iosif S. and Penalver, Miguel and Sciana, Paulina and Soudris, Dimitrios FabSpaces at ImageCLEF 2017 - Population Estimation (Remote) Task. (2017) In: International Conference of the CLEF Association, CLEF 2017 Labs Working Notes (CLEF 2017), 11 September 2017 - 14 September 2017 (Dublin, Ireland).

(Document in English)

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Official URL: http://ceur-ws.org/Vol-1866/paper_161.pdf


The paper summarizes the participation of the 6 FabSpaces to the population estimation (remote) pilot task at ImageCLEF 2017 Lab. FabSpace 2.0 is an open-innovation network for geodata-driven innovation that aims at improving universities contribution to the socioeconomic and environmental performance of societies. In the framework of the ImageCLEF Lab, the 6 FabSpaces participated although only four of them succeeded in submitting a run. This paper summarizes their participations. For each FabSpace, we present the local organization to participate to the CLEF Lab, the participants and their work. We conclude this paper with some lessons we learned from this participation.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01912783
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
European Unions Horizon 2020 Research - Innovation programme under the Grant Agreement n693210
Deposited On:19 Sep 2018 13:31

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