In this paper we present the winning solution to the AAIA'15 Tagging Firefighter Activities at a Fire Scene data mining competition. The approach is based ...

In this paper we present the winning solution to the. AAIA'15 Tagging Firefighter Activities at a Fire Scene data mining competition. The approach is based on a ...

The repository contains the winning solution to the AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene.

Nov 12, 2015 · PDF | On Sep 16, 2015, Jan Lasek and others published The Winning Solution to the AAIA'15 Data Mining Competition: Tagging Firefighter ...

Abstract—In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which.

In this paper we present the winning solution to the AAIA'15 Tagging Firefighter Activities at a Fire Scene data mining competition. The approach is based ...

The winning solution to the AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene ... The winning solution to the AAIA'15 data ...

The Winning Solution to the AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene - Jan Lasek, Marek Gągolewski; A Versatile Approach ...

Oct 22, 2015 · The winning solution involved extensive feature engineering and an ensemble of random forest classifiers. Jan used R for statistical computation ...

Aug 19, 2015 · In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which was held between March 9 ...