| 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 | 107 | 2017 |
| Promoting active mobility behavior by addressing information target groups: The case of Austria K Markvica, A Millonig, N Haufe, M Leodolter Journal of Transport Geography 83, 102664, 2020 | 50 | 2020 |
| 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 | 25 | 2018 |
| 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 2482 (1), 110-116, 2015 | 22 | 2015 |
| Fast approximate hubness reduction for large high-dimensional data R Feldbauer, M Leodolter, C Plant, A Flexer 2018 IEEE International Conference on Big Knowledge (ICBK), 358-367, 2018 | 16 | 2018 |
| Estimating travel times from static map attributes M Leodolter, H Koller, M Straub 2015 international conference on models and technologies for intelligent …, 2015 | 12 | 2015 |
| IncDTW: An R package for incremental calculation of dynamic time warping M Leodolter, C Plant, N Brändle Journal of Statistical Software 99, 1-23, 2021 | 9 | 2021 |
| Ensemble-based domain adaptation for transport mode recognition with mobile sensors P Widhalm, M Leodolter, N Brändle Proceedings of the 2019 ACM International Joint Conference on Pervasive and …, 2019 | 8 | 2019 |
| Semi-supervised segmentation of accelerometer time series for transport mode classification M Leodolter, P Widhalm, C Plant, N Brandle 2017 5th IEEE International Conference on Models and Technologies for …, 2017 | 4 | 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 | 4 | 2017 |
| Transferring urban traveling speed model fits across cities C Heinze, M Leodolter, H Koller, D Bauer European Transport Research Review 8 (3), 19, 2016 | 4 | 2016 |
| Into the Wild—Avoiding Pitfalls in the Evaluation of Travel Activity P Widhalm, M Leodolter, N Brändle Human Activity Sensing: Corpus and Applications, 197, 2019 | 3 | 2019 |
| Into the Wild—Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers P Widhalm, M Leodolter, N Brändle Human Activity Sensing, 197-211, 2019 | 3 | 2019 |
| 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 | 2 | 2018 |
| 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 | 2 | 2016 |
| Towards better urban travel time estimates using street network centrality A Graser, M Leodolter, H Koller 1St ICA european symposium on cartography, Vienna, 2015 | 2 | 2015 |
| The Data Mining Group at University of Vienna C Altinigneli, LGM Bauer, S Behzadi, R Fritze, K Hlaváčková-Schindler, ... Datenbank-Spektrum, 1-9, 2020 | 1 | 2020 |
| Learning mobility profiles: an application to a personalised weather warning system. M Leodolter, C Rudloff SEMANTiCS (Posters & Demos), 110-113, 2015 | 1 | 2015 |
| Rotation invariant GPS trajectory mining M Leodolter, C Plant, N Brändle GeoInformatica, 1-27, 2023 | | 2023 |
| Promoting active mobility behavior by addressing information target groups N Haufe, K Markvica, A Millonig, M Leodolter Journal of Transport Geography 83 (102664), 102664, 2020 | | 2020 |
Christian RudloffAIT Austrian Institute of Technology在 ait.ac.at 的电子邮件经过验证
