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Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels - A Pilot Study on Firefighters.

, , , , , , , , and . Sensors, 20 (10): 2834 (2020)

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Using Domain Knowledge in Initial Stages of KDD: Optimization of Compound Object Processing., , , and . Fundam. Informaticae, 129 (4): 341-364 (2014)Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels - A Pilot Study on Firefighters., , , , , , , , and . Sensors, 20 (10): 2834 (2020)From Sensory Data to Decision Making: A Perspective on Supporting a Fire Commander., , , and . Web Intelligence/IAT Workshops, page 229-236. IEEE Computer Society, (2013)978-1-4799-2902-3.A Resemblance Based Approach for Recognition of Risks at a Fire Ground., , , and . AMT, volume 8610 of Lecture Notes in Computer Science, page 559-570. Springer, (2014)Granular Knowledge Discovery Framework., , , and . ADBIS Workshops, volume 185 of Advances in Intelligent Systems and Computing, page 109-118. Springer, (2012)Model fusion for inertial-based personal dead reckoning systems., , and . SAS, page 1-6. IEEE, (2015)Granular knowledge discovery framework for fire and rescue reporting system., , , and . Intell. Decis. Technol., 9 (4): 379-389 (2015)Outlier Detection by Interaction with Domain Experts., and . Fundam. Informaticae, 127 (1-4): 529-544 (2013)Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit., , , , , and . FedCSIS, volume 5 of Annals of Computer Science and Information Systems, page 367-373. IEEE, (2015)Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit., , , , , and . FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 345-354. (2014)