|
Email:
thomas.liebig
cs.tu-dortmund.de
Phone: 0231/755-8117 Fax: 0231/755-5105 Room-No.: OH14 R216 |
| Becker/Liebig/2022a | Alexander Becker and Thomas Liebig. Certified Data Removal in Sum-Product Networks. In IEEE International Conference on Knowledge Graph (ICKG), pages (accepted), Orlando, Florida, USA, IEEE, 2022. |
| Boiar/etal/2022a | Daniel Boiar and Nils Killich and Lukas Schulte and Victor Hernandez Moreno and Jochen Deuse and Thomas Liebig. Forecasting Algae Growth in Photo-Bioreactors using Attention LSTMs. In Proceedings of the Workshop on Artificial Intelligence for Engineering Applications 2022, pages (accepted), Springer, 2022. |
| Roth/Liebig/2022a | Roth, Andreas and Liebig, Thomas. Transforming PageRank into an Infinite-Depth Graph Neural Network. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, 2022. |
| Roth/Liebig/2022b | Roth, Andreas and Liebig, Thomas. Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. In International Conference on Data Mining Workshops, IEEE, 2022. |
| Sachweh/etal/2022a | Timon Sachweh and Daniel Boiar and Thomas Liebig. Distributed LSTM-Learning from Differentially Private Label Proportions. In Data Mining Workshops, 2022. ICDMW'22. IEEE International Conference on, pages (accepted), IEEE, 2022. |
| Shao/etal/2021a | Xiaoting Shao and Alejandro Molina and Antonio Vergari and Karl Stelzner and Robert Peharz and Thomas Liebig and Kristian Kersting. Conditional Sum-Product Networks: Modular Probabilistic Circuits via Gate Functions. In International Journal of Approximate Reasoning, pages 298-313, 2022. |
| Haritz/etal/2021a | Haritz, Pierre and Pfahler, Lukas and Liebig, Thomas and Kotthaus, Helena. Self-Supervised Source Code Annotation from Related Research Papers. In Proceedings of the PhD Forum of the 21st IEEE International Conference on Data Mining, pages 1083-1084, 2021. |
| Klumpp/etal/2021a | Klumpp, Matthias and Hintze, Marcus and Immonen, Milla and Ródenas-Rigla, Francisco and Pilati, Francesco and Aparicio-Martínez, Fernando and Çelebi, Dilay and Liebig, Thomas and Jirstrand, Mats and Urbann, Oliver and others. Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals. In Healthcare, Vol. 9, No. 8, pages 961, Multidisciplinary Digital Publishing Institute, 2021. |
| Sachweh/etal/2021a | Timon Sachweh and Daniel Boiar and Thomas Liebig. Differentially Private Learning from Label Proportions. In Proceedings of the ECML Workshop on Parallel, Distributed, and Federated Learning, pages accepted, 2021. |
| Sanders/Liebig/2020a | Sanders, Cedric and Liebig, Thomas. Knowledge Discovery on Blockchains: Challenges and Opportunities. In Proceedings of the ECML Workshop on Parallel, Distributed, and Federated Learning, 2020. |
| Shao/etal/2020a | Xiaoting Shao and Alejandro Molina and Antonio Vergari and Karl Stelzner and Robert Perharz and Thomas Liebig and Kristian Kersting. Conditional Sum-Product Networks: Composing Neural Networks into Probabilistic Tractable Models. In Proceedings of the 10th International Conference on Probabilistic Graphical Models, 2020. |
| Ziegler/etal/2020a | Ziegler, Florian and Freund, Maurice and Rydzek, Andreas and Liebig, Thomas. Towards Truck Parking Lot Occupancy Estimation. In arXiv preprint arXiv:2002.00244, 2020. |
| Buschjaeger/etal/2019a |
Buschjäger, Sebastian and Liebig, Thomas and Morik, Katharina.
Gaussian Model Trees for Traffic Imputation.
In
Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM),
pages 243 - 254,
SciTePress,
2019.
|
| Sanders/Liebig/2019a | Sanders, Cedric and Liebig, Thomas. Knowledge Discovery on Blockchains: Challenges and Opportunities. In arXiv preprint arXiv:1904.07104, 2019. |
| Shao/etal/2019a | Xiaoting Shao and Alejandro Molina and Antonio Vergari and Karl Stelzner and Robert Peharz and Thomas Liebig and Kristian Kersting. Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures. In Proceedings of the 3rd Workshop on Tractable Probabilistic Modeling at ICML2019, pages accepted, 2019. |
| Sliwa/etal/2019b | Benjamin Sliwa and Thomas Liebig and Tim Vranken and Michael Schreckenberg and Christian Wietfeld. System-of-systems modeling, analysis and optimization of hybrid vehicular traffic. In 2019 Annual IEEE International Systems Conference (SysCon), Orlando, Florida, USA, IEEE, 2019. |
| Sliwa/etal/2019c | Sliwa, Benjamin and Falkenberg, Robert and Liebig, Thomas and Piatkowski, Nico and Wietfeld, Christian. Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. In IEEE Transactions on Intelligent Transportation Systems, 2019. |
| Rieke/etal/2018a |
Rieke, Matthes and Bigagli, Lorenzo and Herle, Stefan and Jirka, Simon and Kotsev, Alexander and Liebig, Thomas and Malewski, Christian and Paschke, Thomas and Stasch, Christoph.
Geospatial IoT -- The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures.
In
ISPRS International Journal of Geo-Information,
Vol. 7,
No. 10,
2018.
|
| Roemer/etal/2018a | Römer, Christian and Hiry, Johannes and Kittl, Chris and Liebig, Thomas and Rehtanz, Christian. Charging control of electric vehicles using contextual bandits considering the electrical distribution grid. In Proceedings of the 2nd International Workshop on Knowledge Discovery from Mobility and Transportation Systems, KNOWme, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD), pages (accepted), 2018. |
| Sliwa/etal/2018a | Sliwa, Benjamin and Liebig, Thomas and Falkenberg, Robert and Pillmann, Johannes and Wietfeld, Christian. Efficient machine-type communication using multi-metric context-awareness for cars used as mobile sensors in upcoming 5G networks. In Proceedings of the 87th Vehicular Technology Conference: VTC2018-Spring, IEEE, 2018. |
| Sliwa/etal/2018c | Benjamin Sliwa and Thomas Liebig and Robert Falkenberg and Johannes Pillmann and Christian Wietfeld. Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks. In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall), Chicago, USA, 2018. |
| Sliwa/etal/2018d | Benjamin Sliwa and Thomas Liebig and Robert Falkenberg and Johannes Pillmann and Christian Wietfeld. Resource-efficient transmission of vehicular sensor data using context-aware communication. In 19th IEEE International Conference on Mobile Data Management (MDM), Aalborg, Denmark, 2018. |
| Tomaras/etal/2018a | Dimitrios Tomaras and Vana Kalogeraki and Thomas Liebig and Dimitrios Gunopulos. Crowd-based ecofriendly trip planning. In Proceedings of the 19th IEEE International Conference on Mobile Data Management, Aalborg, pages (accepted), IEEE Press, 2018. |
| Heppe/2017a |
Heppe, Lukas and Liebig, Thomas.
Real-Time Public Transport Delay Prediction for Situation-Aware Routing.
In
Kern-Isberner, Gabriele and Fürnkranz, Johannes and Thimm, Matthias (editors),
KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings,
pages 128--141,
Cham,
Springer,
2017.
|
| Liebig/2017a | Liebig, Thomas. Smart navigation - chances, risk and challenges. In M. Jankowska and M. Pawelczyk and S. Augustyn and M. Kulawiak (editors), Navigation and Earth Observation - Law & Technology, pages (accepted), Warsaw, IUS PUBLICUM, 2017. |
| Liebig/2017b | Liebig, Thomas. Report on Data Privacy. No. H2020-688380 D4.1, VAVEL Consortium, Dortmund, Germany, 2017. |
| Liebig/etal/2017b |
Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina.
Dynamic Route Planning with Real-Time Traffic Predictions.
In
Information Systems,
Vol. 64,
pages 258--265,
Elsevier,
2017.
|
| Liebig/Sotzny/2017a |
Liebig, Thomas and Sotzny, Maurice.
On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning.
In
Clementini, Eliseo and Donnelly, Maureen and Yuan, May and Kray, Christian and Fogliaroni, Paolo and Ballatore, Andrea (editors),
13th International Conference on Spatial Information Theory (COSIT 2017),
Vol. 86,
pages 17:1--17:12,
Dagstuhl, Germany,
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik,
2017.
|
| Shaik/etal/2017a |
Shaik, Nayabrasul and Liebig, Thomas and Kirsch, Christopher and Müller, Heinrich.
Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System.
In
Kern-Isberner, Gabriele and Fürnkranz, Johannes and Thimm, Matthias (editors),
KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings,
pages 249--261,
Cham,
Springer,
2017.
|
| Panagiotou/etal/2016a |
Panagiotou, Nikolaos and Zygouras, Nikolas and Katakis, Ioannis and Gunopulos, Dimitrios and Zacheilas, Nikos and Boutsis, Ioannis and Kalogeraki, Vana and Lynch, Stephen and O'Brien, Brendan and Kinane, Dermot and Mare\vcek, Jakub and Yu, Jia Yuan and Verago, Rudi and Daly, Elizabeth and Piatkowski, Nico and Liebig, Thomas and Bockermann, Christian and Morik, Katharina and Schnitzler, Francois and Weidlich, Matthias and Gal, Avigdor and Mannor, Shie and Stange, Hendrik and Halft, Werner and Andrienko, Gennady.
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.
In
Berendt, Bettina and Bringmann, Björn and Fromont, Élisa and Garriga, Gemma and Miettinen, Pauli and Tatti, Nikolaj and Tresp, Volker (editors),
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III,
pages 22--26,
Cham,
Springer,
2016.
|
| Souto/Liebig/2016a |
Gustavo Souto and Thomas Liebig.
On Event Detection from Spatial Time Series for Urban TrafficApplications.
In
Stefan Michaelis and Nico Piatkowski and Marco Stolpe (editors),
Solving Large Scale Learning Tasks: Challenges and Algorithms,
Vol. 9580,
pages 221--233,
Springer,
2016.
|
| Katakis/etal/2015a |
Ioannis Katakis and François Schnitzler and Thomas Liebig.
2nd International Workshop on Mining Urban Data (Preface).
In
Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2),
Vol. 1392,
pages 7--9,
CEUR-WS,
2015.
|
| Liebig/2015a |
Liebig, Thomas.
Privacy Preserving Centralized Counting of Moving Objects.
In
Bacao, Fernando and Santos, Maribel Yasmina and Painho, Marco (editors),
AGILE 2015,
pages 91-103,
Springer,
2015.
|
| Liebig/2015b | Liebig, Thomas. Analysis Methods and Privacy Aspects in Spatio-Temporal Data Mining. In Marlena Jankowska and Miroslaw Pawelczyk and Sylvie Allouche and Marcin Kulawiak (editors), AI: Philosophy, Geoinformatics & Law, pages (to appear), Warsaw, IUS PUBLICUM, 2015. |
| Liebig/etal/2015a |
Liebig, Thomas and Stolpe, Marco and Morik, Katharina.
Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI.
In
Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2),
Vol. 1392,
pages 36--43,
CEUR-WS,
2015.
|
| Liebig/etal/2015b |
Thomas Liebig and Sabine Storandt and Peter Sanders and Walied Othman and Stefan Funke.
Report from Dagstuhl: SocioPaths - Multimodal Door-to-Door Route Planning via Social Paths.
In
Gennady Andrienko and Dimitrios Gunopulos and Ioannis Katakis and Thomas Liebig and Shie Mannor and Katharina Morik and Francois Schnitzler (editors),
Proceedings of the 2nd International Workshop on Mining Urban Data (MUD2),
Vol. 1392,
pages 90--94,
CEUR-WS,
2015.
|
| Liebig/Morik/2015a | Liebig, Thomas and Morik, Katharina. Report on the integration and the evaluation of the alarming, visualization and prediction component. No. FP7-318225 D5.2, INSIGHT Consortium, Dortmund, Germany, 2015. |
| Souto/Liebig/2015a | Gustavo Souto and Thomas Liebig. Analyzing the Correlation Among Traffic Loop Sensors to Detect Anomalies in Traffic Loop Data Streams. In Proceedings of the 3rd Symposium on Knowledge Discovery and Machine Learning, pages (to appear), BRACIS, 2015. |
| Stolpe/etal/2015a | Marco Stolpe and Thomas Liebig and Katharina Morik. Communication-efficient learning of traffic flow in a network of wireless presence sensors. In Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015), pages (to appear), CEUR-WS, 2015. |
| Artikis/etal/2014a |
Alexander Artikis and Matthias Weidlich and Francois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane.
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
In
Proceedings of the 17th International Conference on Extending Database Technology,
2014.
|
| Kinane/etal/2014a | Dermot Kinane and François Schnitzler and Shie Mannor and Thomas Liebig and Katharina Morik and Jakub Marecek and Bernard Gorman and Nikolaos Zygouras and Yannis Katakis and Vana Kalogeraki and Dimitrios Gunopulos. Intelligent Synthesis and Real-time Response using Massive Streaming of Heterogeneous Data (INSIGHT) and its anticipated effect on Intelligent Transport Systems (ITS) in Dublin City, Ireland. In Proceedings of the 10th ITS European Congress, Helsinki, pages (to appear), 2014. |
| Liebig/2014a |
Liebig, Thomas.
Privacy Preserving Aggregation of Distributed Mobility Data Streams.
In
Proceedings of the 11th Symposium on Location-Based Services,
pages 86-99,
2014.
|
| Liebig/2014b | Liebig, Thomas. Speed-Up heuristics for the traffic flow estimation with Gaussian Process Regression. In Proceedings of the 11th Symposium on Location-Based Services, pages (to appear), 2014. |
| Liebig/etal/2014b |
Liebig, Thomas and Andrienko, Gennady and Andrienko, Natalia.
Methods for Analysis of Spatio-Temporal Bluetooth Tracking Data.
In
Journal of Urban Technology,
Vol. 21,
No. 2,
pages 27--37,
Taylor and Francis,
2014.
|
| Liebig/etal/2014c |
Ilarri, Sergio and Liebig, Thomas and Liang, Steve and Geers, Glenn.
Stream Processing in the Context of CTS - course (90min) as part of a lecture on CTS.
In
Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science,
pages 112-115,
2014.
|
| Liebig/etal/2014d |
Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik.
Route Planning with Real-Time Traffic Predictions.
In
Proceedings of the LWA 2014 Workshops: KDML, IR, FGWM,
pages 83-94,
2014.
|
| Schnitzler/etal/2014b | Schnitzler, Francois and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios. Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. In Proceedings of the European Conference on Machine Learning (ECML), Nectar Track, pages 520-523, Springer, 2014. |
| Schnitzler/etal/2014c |
Francois Schnitzler and Thomas Liebig and Shie Mannor and Gustavo Souto and Sebastian Bothe and Hendrik Stange.
Heterogeneous Stream Processing for Disaster Detection and Alarming.
In
IEEE International Conference on Big Data,
pages 914-923,
IEEE Press,
2014.
|
| Andrienko/etal/2013a |
Andrienko, Gennady and Gkoulalas-Divanis, Aris and Gruteser, Marco and Kopp, Christine and Liebig, Thomas and Rechert, Klaus.
Report from Dagstuhl: The Liberation of Mobile Location Data and its Implications for Privacy Research.
In
SIGMOBILE Mob. Comput. Commun. Rev.,
Vol. 17,
No. 2,
pages 7--18,
New York, NY, USA,
ACM,
2013.
|
| Liebig/2013a | T. Liebig. Relating mobility patterns to socio-demographic profiles. In AGILE Conference Workshop on Understanding Urban Cycling: A Data Challenge (CDC2013), 2013. |
| Liebig/2013b |
Thomas Liebig.
Pedestrian Mobility Mining with Movement Patterns.
pages 1--172,
2013.
|
| Liebig/etal/2013a |
T. Liebig and Z. Xu and M. May.
Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.
In
J. Nin and D. Villatoro (editors),
Proceedings of the First International Workshop on Citizen Sensor Networks CitiSens 2012, LNAI 7685,
pages 67--80,
Springer,
2013.
|
| Roesler/Liebig/2013a |
Rösler, Roberto and Liebig, Thomas.
Using Data from Location Based Social Networks for Urban Activity Clustering.
In
Vandenbroucke, Danny and Bucher, Bénédicte and Crompvoets, Joep (editors),
Geographic Information Science at the Heart of Europe,
pages 55--72,
Springer,
2013.
|
| Andrienko/etal/2012a |
Andrienko, N. and Andrienko, G. and Stange, H. and Liebig, T. and Hecker, D..
Visual Analytics for Understanding Spatial Situations from Episodic Movement Data.
In
KI - Künstliche Intelligenz,
pages 241--251,
Springer,
2012.
|
| Ellersiek/etal/2012a |
T. Ellersiek and T. Liebig and D. Hecker and C. Körner.
Analyse von raum-zeitlichen Bewegungsmustern auf Basis von Bluetooth-Sensoren.
In
Angewandte Geoinformatik 2012 - Beiträge zum 24. AGIT-Symposium Salzburg,
pages 260--269,
Berlin,
Wichmann,
2012.
|
| Liebig/etal/2012b |
T. Liebig and Z. Xu and M. May and S. Wrobel.
Pedestrian Quantity Estimation with Trajectory Patterns.
In
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD 2012, Part II, LNCS 7524,
pages 629--643,
Springer,
2012.
|
| Liebig/Wagoum/2012a | Liebig, T. and Kemloh Wagoum, A. U.. Modelling Microscopic Pedestrian Mobility Using Bluetooth. In Proc. of the Fourth International Conference on Agents and Artificial Intelligience - ICAART'12, pages 270--275, SciTePress, 2012. |
| Liebig/Xu/2012a |
Liebig, T. and Xu, Z..
Pedestrian monitoring system for indoor billboard evaluation.
In
Journal of Applied Operational Research,
Vol. 4,
pages 28--36,
Tadbir Operational Research Group Ltd.,
2012.
|
| Utsch/Liebig/2012a |
P. Utsch and T. Liebig.
Monitoring Microscopic Pedestrian Mobility Using Bluetooth.
In
Proceedings of the 8th International Conference on Intelligient Environments,
pages 173--177,
IEEE Press,
2012.
|
| Liebig/2011a |
T. Liebig.
Trajectory Regression Model for Indoor Pedestrian Flow Analysis on Billboard Evaluation.
In
Proc. of the Third International Conference on Applied Operation Research - ICAOR'11,
pages 289--300,
Tadbir Operational Research Group Ltd.,
2011.
|
| Stange/etal/2011a |
H. Stange and T. Liebig and D. Hecker and G. Andrienko and N. Andrienko.
Analytical Workflow of Monitoring Human Mobility in Big Event Settings using Bluetooth.
In
ISA 2011,
pages 51--58,
ACM,
2011.
|
| Liebig/etal/2010a | T. Liebig and H. Stange and D. Hecker and M. May and C. Körner and U. Hofmann. A General Pedestrian Movement Model for the Evaluation of Mixed Indoor-Outdoor Poster Campaigns. In Proc. of the Third International Workshop on Pervasive Advertising and Shopping, 2010. |
| Liebig/etal/2009a |
T. Liebig and C. Körner and M. May.
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks.
In
ICDM Workshops,
pages 668--673,
IEEE Computer Society,
2009.
|
| Liebig/etal/2008a |
T. Liebig and C. Körner and M. May.
Scalable Sparse Bayesian Network Learning for Spatial Applications.
In
ICDM Workshops,
pages 420--425,
IEEE Computer Society,
2008.
|