This paper presents our second participation in user-centred health information retrieval task at the CLEFeHealth 2015. This task has as objective to retrieve pertinent documents that answer circumlocutory queries posed by users when they are faced with symptoms and signs of a disease. We have submitted five runs, the first is the baseline system and the other runs use the pseudo relevance feed...

In NTCIR-6, our Stage-1 results which consist of using old queries retrieving on a different old collection, were not official because of late submission. Stage-2 submissions, which consists of repeating previous experiments, were on time. These NTCIR-6 experiments were conducted as new without referring to any previous knowledge about the runs. Comparisons with old results however were less fa...

In NTCIR-6, our Stage-1 results which consist of using old queries retrieving on a different old collection, were not official because of late submission. Stage-2 submissions, which consists of repeating previous experiments, were on time. These NTCIR-6 experiments were conducted as new without referring to any previous knowledge about the runs. Comparisons with old results however were less fa...

The objective of this study was to gather evidence supporting the accuracy of the 30-15 Intermittent Fitness Test (30-15IFT) for individualizing interval training of young intermittent sport players. In 59 young intermittent sport players (age, 16.26 2.3 years), we observed the relationships between the maximal running speed (MRS) reached at the end of the 30-15IFT (MRS30-15IFT) and physiologic...

Analyzing performance within asynchronous many-task-based runtime systems is challenging because millions of tasks are launched concurrently. Especially for long-term runs, the amount data collected becomes overwhelming. We study HPX and its performance-counter framework autonomic environment Exascale to collect energy consumption. added application-specific counters Octo-Tiger full 3-D adaptiv...

What we learned from our runs: using a commercial facedetection package without tweaking on this (low image quality) dataset does not work. Using a small-sized (512 words) visual vocabulary computed on the query set significantly outperforms a much larger (4096 words) visual vocabulary on the whole dataset. One can build an image-retrieval system using open-source components. 2. INTRODUCTION In...