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2020 – today
- 2024
[j9]Mohamed F. Mokbel
, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10(2): 10 (2024)- [c12]Anita Graser, Axel Weissenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm:
Federated Learning for Anomaly Detection in Maritime Movement Data. MDM 2024: 77-82 - [c11]Anita Graser, Melitta Dragaschnig:
Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics. MDM 2024: 235-238 - [c10]Anita Graser:
Exploratory Analysis of Massive Movement Data. MDM 2024: 325-327 - [i8]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: A Review of Deep Learning From Trajectory Data. CoRR abs/2402.00732 (2024) - 2023
- [c9]Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta:
MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. IEEE Big Data 2023: 1487-1494 - [c8]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them. EDBT/ICDT Workshops 2023 - [i7]Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher, Anita Graser, Julia Kafka, Peter Leputsch, Daniel Schall, Jana Kemnitz:
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications. CoRR abs/2304.11101 (2023) - [i6]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i5]Anahid N. Jalali, Anita Graser, Clemens Heistracher:
Towards eXplainable AI for Mobility Data Science. CoRR abs/2307.08461 (2023) - [i4]Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser:
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. CoRR abs/2312.01151 (2023) - [i3]Anita Graser, Christos Doulkeridis, George S. Theodoropoulos:
Green Mobility Data Spaces. ERCIM News 2023(135) (2023) - 2022
- [i2]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j8]Anita Graser:
An exploratory data analysis protocol for identifying problems in continuous movement data. J. Locat. Based Serv. 15(2): 89-117 (2021) - [c7]Anita Graser:
Notebook-based Visual Analysis of Large Tracking Datasets. EDBT/ICDT Workshops 2021 - 2020
- [j7]Anita Graser, Peter Widhalm, Melitta Dragaschnig:
The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. Int. J. Geogr. Inf. Sci. 34(12): 2517-2540 (2020) - [c6]Anita Graser, Melitta Dragaschnig, Peter Widhalm, Hannes Koller, Norbert Brändle:
Exploratory Trajectory Analysis for Massive Historical AIS Datasets. MDM 2020: 252-257 - [i1]Anita Graser, Esteban Zimányi, Chaitanya Krishna Bommakanti:
From Simple Features to Moving Features and Beyond? CoRR abs/2006.16900 (2020)
2010 – 2019
- 2019
- [j6]Anita Graser, Johanna Schmidt, Florian Roth, Norbert Brändle:
Untangling origin-destination flows in geographic information systems. Inf. Vis. 18(1) (2019) - 2018
- [j5]Robert Fritze, Anita Graser, Markus Sinnl:
Combining spatial information and optimization for locating emergency medical service stations: A case study for Lower Austria. Int. J. Medical Informatics 111: 24-36 (2018) - 2017
- [j4]Tadej Brezina, Anita Graser, Ulrich Leth:
Geometric methods for estimating representative sidewalk widths applied to Vienna's streetscape surfaces database. J. Geogr. Syst. 19(2): 157-174 (2017) - [c5]Maximilian Leodolter, Anita Graser:
Improving vehicle speed prediction transferability with network centrality. MT-ITS 2017: 907-912 - 2016
- [j3]Martin Loidl, Gudrun Wallentin, Rita Cyganski, Anita Graser, Johannes Scholz, Eva Haslauer:
GIS and Transport Modeling - Strengthening the Spatial Perspective. ISPRS Int. J. Geo Inf. 5(6): 84 (2016) - 2015
- [j2]Anita Graser, Victor Olaya:
Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS. ISPRS Int. J. Geo Inf. 4(4): 2219-2245 (2015) - [c4]Hannes Koller, Peter Widhalm, Melitta Dragaschnig, Anita Graser:
Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories. ITSC 2015: 2557-2561 - [c3]Anita Graser, Johannes Asamer, Wolfgang Ponweiser:
The elevation factor: Digital elevation model quality and sampling impacts on electric vehicle energy estimation errors. MT-ITS 2015: 81-86 - 2014
- [j1]Anita Graser, Markus Straub, Melitta Dragaschnig:
Towards an Open Source Analysis Toolbox for Street Network Comparison: Indicators, Tools and Results of a Comparison of OSM and the Official Austrian Reference Graph. Trans. GIS 18(4): 510-526 (2014) - [c2]Anita Graser, Markus Straub, Melitta Dragaschnig:
Is OSM Good Enough for Vehicle Routing? A Study Comparing Street Networks in Vienna. LBS 2014: 3-17 - 2012
- [c1]Anita Graser, Wolfgang Ponweiser, Melitta Dragaschnig, Norbert Brändle, Peter Widhalm:
Assessing traffic performance using position density of sparse FCD. ITSC 2012: 1001-1005
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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