activity
20182023
most citedBoosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction

52 citations · 152 across the 17 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 14 cited

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

Xiaoting Shao, Alejandro Molina, Antonio Vergari +4

Probabilistic graphical models are a central tool in AI; however, they are generally not as expressive as deep neural models, and inference is notoriously hard and slow. In contras…

cs.OH2019★ 6 cited

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

Christian Römer, Johannes Hiry, Chris Kittl +2

With the proliferation of electric vehicles, the electrical distribution grids are more prone to overloads. In this paper, we study an intelligent pricing and power control mechani…

cs.NI2019★ 52 cited

Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction

Benjamin Sliwa, Robert Falkenberg, Thomas Liebig +2

The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-based applications such as intelligent traffic control and distributed weather forecast. Ho…

cs.DC2019★ 1 cited

Knowledge Discovery on Blockchains: Challenges and Opportunities

Cedric Sanders, Thomas Liebig

We study the applicability of blockchain technology for distributed event detection under resource constraints. Therefore we provide a test-suite with several promising consensus m…

cs.NI2019★ 21 cited

System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic

Benjamin Sliwa, Thomas Liebig, Tim Vranken +2

While the development of fully autonomous vehicles is one of the major research fields in the Intelligent Transportation Systems (ITSs) domain, the upcoming longterm transition per…