Maximilian Leodolter

According to our database, Maximilian Leodolter authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rotation invariant GPS trajectory mining.

Maximilian Leodolter, Claudia Plant, Norbert Brändle

GeoInformatica, January, 2024

2021

IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping.

Maximilian Leodolter, Claudia Plant, Norbert Brändle

J. Stat. Softw., 2021

2020

The Data Mining Group at University of Vienna.

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

Datenbank-Spektrum, 2020

2019

Ensemble-based domain adaptation for transport mode recognition with mobile sensors.

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

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

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm.

Maximilian Leodolter, Norbert Brändle, Claudia Plant

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Fast Approximate Hubness Reduction for Large High-Dimensional Data.

Roman Feldbauer, Maximilian Leodolter, Claudia Plant, Arthur Flexer

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset.

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm.

Paolo Campigotto, Christian Rudloff, Maximilian Leodolter, Dietmar Bauer

IEEE Trans. Intell. Transp. Syst., 2017

Semi-supervised segmentation of accelerometer time series for transport mode classification.

Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

Improving vehicle speed prediction transferability with network centrality.

Maximilian Leodolter, Anita Graser

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2015

Estimating travel times from static map attributes.

Maximilian Leodolter, Hannes Koller, Markus Straub

Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

Learning mobility profiles: an application to a personalised weather warning system.

Maximilian Leodolter, Christian Rudloff

Proceedings of the Joint Proceedings of the Posters and Demos Track of 11th International Conference on Semantic Systems - SEMANTiCS 2015 and 1st Workshop on Data Science: Methods, Technology and Applications (DSci15) 11th International Conference on Semantic Systems, 2015