Contests

Our Company | Arete'

With the majority of Areté team members possessing distinguished academic backgrounds and work history we set aside small amounts of IR&D to allow staff to pursue topics of personal interest. Areté researchers use data driven statistical techniques and aggressively streamline code for “big data”.

We take great pride in performing well in open competitions such as those offered through Kaggle, Challenge.gov and more.

Some of our competitive successes in analytics include:

Kaggle
https://www.kaggle.com/c/whale-detection-challenge/leaderboard/public

*Right Whale Sounding identification
*1st place out of 245 team entries
*Developed algorithms and software to accurately identifying the right whale calls, specifically the characteristic up-call. The code will be used to improve automatic detection-classification systems listening for whales in order reduce the chances cetacean mortality due to collisions with ships (e.g. right whales in the shipping lanes off Boston, MA)

DTRA Innocentive Challenge
https://www.innocentive.com/ar/challenge/9933138

*15th out of 2700+ entries genomic classification
*Developed algorithms and software that process data, for rapid and accurate organism identification and non-host characterization from noisy samples of mixed segments of genetic sequence from next-generation sequencing instruments.

Heritage Health Prize
https://www.heritagehealthprize.com/c/hhp

*8th place of 1353 entries
*Developed algorithms and software that forecasts how many days a patient will spend in a hospital in the next year based upon patient historical claims data. Health care providers can develop new care plans and strategies before emergencies occur, thereby reducing the number of unnecessary hospitalizations.

GIMPY-R
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart)
https://www.captcha.net

*Areté developed an algorithm that won the Gimpy-R challenge. This was published as Published in: Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference (Volume:2 )

opengov
nsf
kaggle