Maximilian Leodolter

14 papers Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Rotation invariant GPS trajectory mining.
GeoInformatica
Maximilian Leodolter, Claudia Plant, Norbert Brändle
2021 J jnl
IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping.
J. Stat. Softw.
Maximilian Leodolter, Claudia Plant, Norbert Brändle
2020 J jnl
The Data Mining Group at University of Vienna.
Datenbank-Spektrum
Muzaffer Can Altinigneli, Lena Greta Marie Bauer, Sahar Behzadi, Robert Fritze, Katerina Hlavácková-Schindler, Maximilian Leodolter, Lukas Miklautz, Martin Perdacher, Ylli Sadikaj, Benjamin Schelling, Claudia Plant
2019 — conf
Ensemble-based domain adaptation for transport mode recognition with mobile sensors.
UbiComp/ISWC Adjunct
Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2019 — ch.
Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers.
Human Activity Sensing
Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2018 — conf
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm.
ICBK
Maximilian Leodolter, Norbert Brändle, Claudia Plant
2018 — conf
Fast Approximate Hubness Reduction for Large High-Dimensional Data.
ICBK
Roman Feldbauer, Maximilian Leodolter, Claudia Plant, Arthur Flexer
2018 — conf
Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset.
UbiComp/ISWC Adjunct
Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2017 — conf
Improving vehicle speed prediction transferability with network centrality.
MT-ITS
Maximilian Leodolter, Anita Graser
2017 J jnl
Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm.
IEEE Trans. Intell. Transp. Syst.
Paolo Campigotto, Christian Rudloff, Maximilian Leodolter, Dietmar Bauer
2017 — conf
Semi-supervised segmentation of accelerometer time series for transport mode classification.
MT-ITS
Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle
2016 J jnl
Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm.
CoRR
Paolo Campigotto, Christian Rudloff, Maximilian Leodolter, Dietmar Bauer
2015 — conf
Estimating travel times from static map attributes.
MT-ITS
Maximilian Leodolter, Hannes Koller, Markus Straub
2015 — conf
Learning mobility profiles: an application to a personalised weather warning system.
SEMANTiCS (Posters & Demos)
Maximilian Leodolter, Christian Rudloff