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—In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which was held between March 9 and July 6, 2015. We describe the scope and background of the competition. We also reveal details regarding the data set used in the competition, which was collected and tagged specifically for the purpose of this data(More)
This paper summarize our approach to author profiling task – a part of evaluation lab PAN'13. We have used ensemble-based classification on large features set. All the features are roughly described and experimental section provides evaluation of different methods and classification approaches .
This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on DTWs on each acceleration axis. Preliminary ensemble method is proposed and comparative study is executed showing better and more stable results.
—This paper summarizes our approach and experimental evaluation of infrastructure-based Indoor Positioning System (IPS) designed to be used by First Responders. We are using 868 MHz single channel, power-efficient radio markers and RSSI (Receiver Signal Strength Indicator) fingerprinting. Artificial Neural Network translates vectors of RSSI constructed(More)
The paper deals with integration of distributed fragmented collections of data, being the basis for virtual repositories in the data grid or P2P architecture. The core of the described architecture is based on the Stack-Based Query Language (SBQL) and virtual updateable SBQL views. Our virtual repository transparently integrates distributed, heterogeneous(More)
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