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Bareth, U. and Küpper, A. and Freese, B. (2011). Geofencing and Background Tracking - The Next Features in LBS [17]. Proceedings of the 41th Annual Conference of the Gesellschaft für Informatik e.V. (INFORMATIK 2011). Köllen Druck + Verlag GmbH.


Bareth, U. and Küpper, A. and Ruppel, P. (2010). geoXmart - a Marketplace for Geofence-Based Mobile Services [18]. Proceedings of the IEEE 34th Annual Computer Software and Applications Conference (COMPSAC 2010). IEEE, 101-106.

Link to publication [19]

Bareth, U. (2012). Privacy-aware and Energy-efficient Geofencing through Reverse Cellular Positioning [20]. Proceedings of the 8th Intl. Conference on Wireless Communications and Mobile Computing Conference (IWCMC 2012). IEEE, 153-158.

Link to publication [21]

Bareth, U. (2010). Algorithmic Optimizations for Energy-efficient Monitoring of Spatial Objects on Smartphones [22]. Proceedings of the 40th Annual Conference of the Gesellschaft für Informatik e.V. (INFORMATIK 2010). Köllen Druck + Verlag GmbH, 577-582.


Bareth, U. (2012). Simulating Power Consumption of Location Tracking Algorithms to Improve Energy-efficiency of Smartphones [23]. Proceedings of the 36th Intl. IEEE Computer Software and Applications Conference (COMPSAC 2012). IEEE, 613-622.

Link to publication [24]

Bareth, U. and Küpper, A. (2010). Efficient Distribution and Topological Evaluation of Spatial Objects for proactive Location-based Services [25]. 7. GI/ITG KuVS Fachgespräch "Ortsbezogene Anwendungen und Dienste". Logos Verlag Berlin GmbH, 47-53.


Bareth, U. and Küpper, A. (2011). Energy-Efficient Position Tracking in Proactive Location-based Services for Smartphone Environments [26]. Proceedings of the IEEE 35th Annual Computer Software and Applications Conference (COMPSAC 2011). IEEE, 516-521.

Link to publication [27]

Bayer, N. and Gomez. K and Sengul, C. and von Hugo, D. and Göndör, S. and Uzun, A. (2015). Load-Adaptive Networking for Energy-Efficient Wireless Access [28]. Computer Communications. Elsevier.

Link to publication [29]

Bayer, N. and Sivchenko, D. and Einsiedler, H.-J. and Roos, A. and Uzun, A. and Göndör, S. and Küpper, A. (2011). Energy Optimisation in Heterogeneous Multi-RAT Networks [30]. Proceedings of the 15th International Conference on Intelligence in Next Generation Networks. IEEE, 139-144.

Link to publication [31]

Beierle, F. and Aizawa, A. and Beel, J. (2017). Exploring Choice Overload in Related-Article Recommendations in Digital Libraries [32]. Proceedings of the 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR2017). CEUR-WS, 51–61.

Link to publication [33]

Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services [34]. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.

Link to publication [35]

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data [36]. 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft '18). ACM, 72-75.

Link to publication [37]

Beierle, F. and Probst, T. and Allemand, M. and Zimmermann, J. and Pryss, R. and Neff, P. and Schlee, W. and Stieger, S. and Budimir, S. (2020). Frequency and duration of daily smartphone usage in relation to personality traits [38]. Digital Psychology. facultas, 20–28.

Link to publication [39]

Beierle, F. and Egger, S. (2020). MobRec – Mobile Platform for Decentralized Recommender Systems [40]. IEEE Access. IEEE, 185311 - 185329.

Link to publication [41]

Beierle, F. and Eichinger, T. (2019). Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems [42]. Proceedings of the IEEE 16th International Conference on Ubiquitous Intelligence and Computing (UIC 2019). IEEE, 1192–1197.

Link to publication [43]

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