Maximilian Leodolter
Maximilian Leodolter
PhD Candidate at Austrian Institute of Technology/ University of Vienna
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TitelZitiert vonJahr
Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm
P Campigotto, C Rudloff, M Leodolter, D Bauer
IEEE Transactions on Intelligent Transportation Systems 18 (1), 92-102, 2017
232017
Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset
P Widhalm, M Leodolter, N Brändle
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
72018
Estimating travel times from static map attributes
M Leodolter, H Koller, M Straub
Models and Technologies for Intelligent Transportation Systems (MT-ITS …, 2015
52015
Transferring urban traveling speed model fits across cities
C Heinze, M Leodolter, H Koller, D Bauer
European Transport Research Review 8 (3), 1-12, 2016
22016
Towards better urban travel time estimates using street network centrality
A Graser, M Leodolter, H Koller
1St ICA european symposium on cartography, Vienna, 2015
22015
Influence of Weather on Transport Demand: Case Study from the Vienna, Austria, Region
C Rudloff, M Leodolter, D Bauer, R Auer, W Brög, K Kehnscherper
Transportation Research Record: Journal of the Transportation Research Board …, 2015
22015
Fast approximate hubness reduction for large high-dimensional data
R Feldbauer, M Leodolter, C Plant, A Flexer
12018
Semi-supervised segmentation of accelerometer time series for transport mode classification
M Leodolter, P Widhalm, C Plant, N Brandle
Models and Technologies for Intelligent Transportation Systems (MT-ITS …, 2017
12017
Improving vehicle speed estimates using street network centrality
A Graser, M Leodolter, H Koller, N Brändle
International Journal of Cartography 2 (1), 77-94, 2016
12016
Learning mobility profiles: an application to a personalised weather warning system.
M Leodolter, C Rudloff
SEMANTiCS (Posters & Demos), 110-113, 2015
12015
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm
M Leodolter, N Brändle, C Plant
2018 IEEE International Conference on Big Knowledge (ICBK), 423-431, 2018
2018
IncDTW: an R package for Incremental Dynamic Time Warping
M Leodolter, N Braendle, C Plant
2018
Improving vehicle speed prediction transferability with network centrality
M Leodolter, A Graser
Models and Technologies for Intelligent Transportation Systems (MT-ITS …, 2017
2017
Improving vehicle speed prediction transferability with network centrality
L Maximilian, G Anita
2017 5th IEEE International Conference on Models and Technologies for …, 2017
2017
Personalization of Routing Services–User Classification as a Method to Overcome the Colds Start Problem for Personalized Models
C Rudloff, M Leodolter
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
2017
Unmasking Player Types
A Millonig, K Mitgutsch, M Leodolter, J Froschauer, W Ponweiser
Alexander Meschtscherjakov Boris De Ruyter Verena Fuchsberger Martin Murer, 30, 2016
2016
COME RAIN OR SUNSHINE: REVEALED DIFFERENCES IN OBJECTIVE AND SUBJECTIVE USAGE OF ELECTRIC-DRIVE COMMERCIAL VEHICLES
T Brezina, M Leodolter, A Millonig
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