Publications

■ Efficient Scheduling of Multiple Data Transfers in Mobile Applications

Kalogeraki, V., & Tzouros, G. (2018, March). Efficient Scheduling of Multiple Data Transfers in Mobile Applications. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 342-347). IEEE.

■ ExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads

Maroulis, S., Zacheilas, N., & Kalogeraki, V. (2017, July). ExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads. In Autonomic Computing (ICAC), 2017 IEEE International Conference on (pp. 27-32). IEEE.

■ Evaluating the Health State of Urban Areas Using Multi-source Heterogeneous Data

Tomaras, D., Kalogeraki, V., Zvgouras, N., Panagiotou, N., & Gunopulos, D. (2018,June). Evaluating the Health State of Urban Areas Using Multi-source Heterogeneous Data. In 2018 IEEE 19th International Symposium on” A World of Wireless, Mobile and Multimedia Networks”(WoWMoM) (pp. 14-22). IEEE.

■ Modeling and predicting bike demand in large city situations

Tomaras, D., Boutsis, I., & Kalogeraki, V. (2018, March). Modeling and predicting bike demand in large city situations. In 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 1-10). IEEE.

■ GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

M. Rieke, L. Bigagli, S. Herle, S. Jirka, A. Kotsev, T. Liebig, C. Malewski, T. Paschke, and C. Stasch in ISPRS International Journal of Geo-Information, vol. 7, iss. 10, 2018.

■ A Cost-Aware Incentive Mechanism in Mobile Crowdsourcing Systems

Mitsopoulou, E., Boutsis, I., Kalogeraki, V., & Yu, J. Y. (2018, June). A Cost-Aware Incentive Mechanism in Mobile Crowdsourcing Systems. In 2018 19th IEEE International Conference on Mobile Data Management (MDM) (pp. 239-244). IEEE.

■ Dione: A Framework for Automatic Profiling and Tuning Big Data Applications

Zacheilas, N., Maroulis, S., Priovolos, T., Kalogeraki, V., & Gunopulos, D. (2018, April). Dione: A Framework for Automatic Profiling and Tuning Big Data Applications. In 2018 IEEE 34th International Conference on Data Engineering (ICDE) (pp. 1637-1640). IEEE.

■ Efficient and timely misinformation blocking under varying cost constraints

Litou, I., Kalogeraki, V., Katakis, I., & Gunopulos, D. (2017). Efficient and timely misinformation blocking under varying cost constraints. Online Social Networks and Media, 2, 19-31.

■ On the fly load balancing to address hot topics in topic-based pub/sub systems

Dedousis, D., Zacheilas, N., & Kalogeraki, V. (2018, July). On the fly load balancing to address hot topics in topic-based pub/sub systems. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) (pp. 76-86). IEEE.

■ Efficient techniques for time-constrained information dissemination using location-based social networks

Litou, I., Boutsis, I., & Kalogeraki, V. (2017). Efficient techniques for time-constrained information dissemination using location-based social networks. Information Systems, 64, 321-349.

■ ORiON: Online ResOurce Negotiator for Multiple Big Data Analytics Frameworks

Zacheilas, N., Chalvantzis, N., Konstantinou, I., Kalogeraki, V., & Koziris, N. (2018, September). ORiON: Online ResOurce Negotiator for Multiple Big Data Analytics Frameworks. In 2018 IEEE International Conference on Autonomic Computing (ICAC) (pp. 11-20). IEEE.

■ Probabilistic Management of Late Arrival of Events

Rivetti, N., Zacheilas, N., Gal, A., & Kalogeraki, V. (2018, June). Probabilistic Management of Late Arrival of Events. In Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems (pp. 52-63). ACM.

■ Efficient Parking Allocation for SmartCities

Mitsopoulou, E., & Kalogeraki, V. (2017, June). Efficient Parking Allocation for SmartC- ities. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 265-268). ACM.

■ REMI: A framework of reusable elements for mining heterogeneous data with missing information

Gal, A., Gunopulos, D., Panagiotou, N., Rivetti, N., Senderovich, A., & Zygouras, N. (2018). REMI: A framework of reusable elements for mining heterogeneous data with missing information. Journal of Intelligent Information Systems, 51(2), 367-388.

■ On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannnor, ”On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters”, The Thirty-Third AAAI Conference on Artificial Intelligence, 2018

■ Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication

Sliwa, B., Liebig, T., Falkenberg, R., Pillmann, J., & Wietfeld, C. (2018). Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication. arXiv preprint arXiv:1804.05533.

■ Crowd-based ecofriendly trip planning

Tomaras, D., Kalogeraki, V., Liebig, T., & Gunopulos, D. (2018, June). Crowd-based ecofriendly trip planning. In 2018 19th IEEE International Conference on Mobile Data Management (MDM) (pp. 24-33). IEEE.

■ Machine Learning based Context-predictive Car-to-cloud Communication Using Multi-layer Connectivity Maps for Upcoming 5G Networks

B. Sliwa, R. Falkenberg, T. Liebig, J. Pillmann, and C. Wietfeld, “Machine Learning Based Context-predictive Car-to-cloud Communication Using Multi-layer Connectivity Maps for Upcoming 5G Networks,” in Proceedings of the 88th Vehicular Technology Conference: VTC2018-Fall, 2018.

■ Charging control of electric vehicles using contextual bandits considering the electrical distribution grid

C. Römer, J. Hiry, C. Kittl, T. Liebig, and C. Rehtanz, ”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 (PKDD), 2018.

■ Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks

B. Sliwa, T. Liebig, R. Falkenberg, J. Pillmann, and C. Wietfeld, ”Efficient Machine-type Communication using Multi-metric”, Proceedings of the 87th Vehicular Technology Conference: VTC2018-Spring, 2018.