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A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads, Nikos Zacheilas and Vana Kalogeraki, EURASIP Journal on Embedded Systems, Springer July 3, 2017
Maximizing Determinism in Stream Processing Under Latency Constraints, Nikos Zacheilas, Vana Kalogeraki, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas, ACM DEBS, Barcelona, Spain, June 19 - 23, 2017 (received best paper award)
DIsCO: DynamIc Data COmpression in Distributed Stream Processing Systems, Zacheilas Nikos, Vana Kalogeraki, DAIS 2017, Neuchâtel, Switzerland, June 19 - 22, 2017
A Framework for Efficient Energy Scheduling of Spark Workloads, Stathis Maroulis, Nikos Zacheilas, Vana Kalogeraki , IEEE ICDCS 2017, Atlanta, GA, USA, June 5 - 8, 2017 (poster)
Pythia: A System for Online Topic Discovery of Social Media Posts, Iouliana Litou, Vana Kalogeraki, IEEE ICDCS 2017, Atlanta, GA, USA, June 5 - 8, 2017 (Demo)
Influence Maximization in a Many Cascades World, Iouliana Litou, Vana Kalogeraki, Dimitrios Gunopulos, IEEE ICDCS, Atlanta, GA, USA, June 5 - 8, 2017
Lessons Learnt from the analysis of a bike sharing system, Dimitrios Tomaras, Ioannis Boutsis, Vana Kalogeraki, 10th International PETRA 2017, Rhodes, Greece, June 21 - 23, 2017
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