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Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers.

, , and . Human Activity Sensing, Springer, (2019)

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IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping., , and . J. Stat. Softw., (2021)Learning mobility profiles: an application to a personalised weather warning system., and . SEMANTiCS (Posters & Demos), volume 1481 of CEUR Workshop Proceedings, page 110-113. CEUR-WS.org, (2015)Improving vehicle speed prediction transferability with network centrality., and . MT-ITS, page 907-912. IEEE, (2017)Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset., , and . UbiComp/ISWC Adjunct, page 1479-1487. ACM, (2018)Rotation invariant GPS trajectory mining., , and . GeoInformatica, 28 (1): 89-115 (January 2024)Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm., , and . ICBK, page 423-431. IEEE Computer Society, (2018)Estimating travel times from static map attributes., , and . MT-ITS, page 121-126. IEEE, (2015)The Data Mining Group at University of Vienna., , , , , , , , , and 1 other author(s). Datenbank-Spektrum, 20 (1): 71-79 (2020)Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers., , and . Human Activity Sensing, Springer, (2019)Ensemble-based domain adaptation for transport mode recognition with mobile sensors., , and . UbiComp/ISWC Adjunct, page 857-861. ACM, (2019)