Six NLeSC papers accepted for International eScience Conference
June 8th, 2015
NLeSC’s eScience Research Engineers got six papers accepted for the 11th IEEE International Conference on eScience.
The IEEE eScience 2015 conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. The conference aims to serve as a forum to present recent research advances in eScience and highlight associated activities worldwide, providing an outlook of challenges and opportunities we will face in the future.
The eScience Research Engineers will be present at the IEEE eScience conference which will be held in Munich, Germany from 31st August to 4th September 2015.
- J J Attema , B G Heusinkveld, R J Ronda, G J Steeneveld and A A M Holtslag.
Summer in the City: Forecasting and Mapping Human Thermal Comfort in Urban Areas. associated project
- C Martinez-Ortiz, M Koolen, F Buschenhenke and K van Dalen-Oskam.
Beyond the Book: Linking Books to Wikipedia. associated project
- A Sclocco, H E Bal and R van Nieuwpoort.
Finding Pulsars in Real-Time. associated project
- J van der Zwaan, I Leemans, E Kuijpers, I Maks.
HEEM, a Complex Model for Mining Emotions in Historical Text. associated project
- R Goncalves, M Ivanova, K Kyzirakos, F Alvanaki, J Maassen O Martinez-Rubi and H Mühleisen.
A round table for multi-disciplinary research on Geospatial and Climate Data. associated project
B van Werkhoven and P Hijma.
An integrated approach to porting large scientific applications to GPUs. associated project
Also, one poster with an accompanying short paper was accepted:
- C Martinez-Ortiz, L Aroyo, O Inel, S Champilomatis, A Dumitrache and B Timmermans.
Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis. associated project
eScience Research Engineer Carlos Martinez-Ortiz got an additional paper accepted as well:
- M Herrera, C Martinez-Ortiz, P Carvalho-Lobato and M Manzanares-Cespedes.
Classifying bone trabecular volumes using 3D shape descriptors.