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N. Shaik, T. Liebig, C. Kirsch, and H. Müller, “Dynamic map update of non-static facility logistics environment with a multi-robot system,” in Proceedings of the 40th German Conference on Artificial Intelligence, Springer Berlin Heidelberg, 2017, p. (accepted).
L. Heppe and T. Liebig, “Real-time Public Transport Delay Prediction for Situation-aware Routing,” in Proceedings of the 40th German Conference on Artificial Intelligence, Springer Berlin Heidelberg, 2017, p. (accepted).
M. Grzenda, K. Kwasiborska, T. Zaremba: Combining Stream Mining and Neural Networks for Short Term Delay Prediction. Accepted in International Conference on Soft Computing Models in Industrial and Environmental Applications, Leon, Spain. SOCO’17. 6th-8th September 2017
A. Senderovich, N. Rivetti, A. Gal, N. Panagiotou, I. Katakis, D. Gunopulos, V. Kalogeraki: REMI, Reusable Elements for Multi-Level Information Availability. Accepted in DEBS 2017
Manuel Görtz, Martin Strohbach, Markus Schlattmann, “IoT Data Analytics – A key enabler for the Growth of Smart Cities", SocietyByte – Wissenschaftsmagazin des BFH-Zentrums Digital Society, 2017
T. Liebig, “Smart navigation – chances, risk and challenges,” in Navigation and Earth Observation – Law & Technology, M. Jankowska, M. Pawelczyk, S. Augustyn, and M. Kulawiak, Eds., Warsaw: IUS PUBLICUM, 2017, p. (accepted).
T. Liebig and M. Sotzny, “On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning,” in Proceedings of the 13th International Conference on Spatial Information Theory COSIT, E. Clementini, M. Donnelly, M. Yuan, C. Kray, P. Fogliaroni, and A. Ballatore, Eds., L’Aquila, Italy: , 2017 (accepted).
T. Liebig, S. Peter, M. Grzenda, and K. Junosza-Szaniawski, “Dynamic Transfer Patterns for Fast Multi-modal Route Planning,” in Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science, A. Bregt, T. Sarjakoski, R. van Lammeren, and F. Rip, Eds., Cham: Springer International Publishing, 2017, pp. 223-236.
Zychowski, A., Junosza-Szaniawski, K., & Kosicki, A. (2017, May). Travel Time Prediction for Trams in Warsaw. In International Conference on Computer Recognition Systems, CORES 2017(pp. 53-62). Springer, Cham.
Luckner M., Rosłan A., Krzemińska I., Legierski J., Kunicki R. (2017) Clustering of Mobile Subscriber’s Location Statistics for Travel Demand Zones Diversity. In: Saeed K., Homenda W., Chaki R. (eds) Computer Information Systems and Industrial Management. CISIM 2017. Lecture Notes in Computer Science, vol 10244. Springer, Cham.
Luckner M., Kobojek P. and Zawistowski P. (2017). Public Transport Stops State Detection and Propagation - Warsaw Use Case.In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 235-241. DOI: 10.5220/0006305102350241
Andrienko, N., & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization.
Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, and Ye Zhao, “Visual, Analytics of Mobility and Transportation: State of the Art and Further Research Directions”, IEEE Transactions on Intelligent Transportation Systems, 2017
Nikolaos Panagiotou, Cem Akkaya, Kostas Tsioutsiouliklis, Vana Kalogeraki, Dimitrios Gunopulos, First Story Detection using Entities and Relations. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 3237–3244, Osaka, Japan, December 11-17 2016.
An Active Learning Framework Incorporating User Input For Mining Urban Data, Nikolaos Zygouras, Nikolaos Panagiotou, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Dimitrios Gunopulos , UrbComp 2016, San Francisco, California, USA, August 2016
Arnon Lazerson, Daniel Keren, and Assaf Schuster. Lightweight Monitoring of Distributed Streams. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16). ACM, New York, NY, USA, 1685-1694
Andrienko, G and Andrienko, N. 2016. Gaining Knowledge from Georeferenced Social Media Data with Visual Analytics. In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R. (eds.) European Handbook of Crowdsourced Geographic Information, pp. 157–167. London: Ubiquity Press.
Gennady Andrienko, Natalia Andrienko, Alexander Ryumkin, Valery Ryumkin, Gennady Kravchenko, Evegeny Tyabaev, Dmitry Khloptsov, Svetlana Trofimova, "Exploration and Refinement of Regression Tree Models with Interactive Maps and Spatial Data Transformations", International Journal of Cartography, 2016, vol. 2(1), pp.59-76
Gennady Andrienko, Natalia Andrienko, Georg Fuchs, and Jo Wood Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data IEEE Transactions on Visualization and Computer Graphics, 2017, (accepted)
T. Liebig, N. Piatkowski, C. Bockermann, and K. Morik, “Dynamic Route Planning with Real-Time Traffic Predictions,” Information Systems, vol. 64, pp. 258-265, 2017.