activity
20182024
most citedI Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection

Ahmad Khalil, Tizian Dege, Pegah Golchin +3

In the pursuit of refining precise perception models for fully autonomous driving, continual online model training becomes essential. Federated Learning (FL) within vehicular netwo…

cs.MA2023

Learning to Cooperate and Communicate Over Imperfect Channels

Jannis Weil, Gizem Ekinci, Heinz Koeppl +1

Information exchange in multi-agent systems improves the cooperation among agents, especially in partially observable settings. In the real world, communication is often carried ou…

cs.CL20214 cited

I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection

Tim Steuer, Anna Filighera, Tobias Meuser +1

Most learners fail to develop deep text comprehension when reading textbooks passively. Posing questions about what learners have read is a well-established way of fostering their…

cs.CR2020

Hide Me: Enabling Location Privacy in Heterogeneous Vehicular Networks

Tobias Meuser, Oluwasegun Taiwo Ojo, Daniel Bischoff +3

To support location-based services, vehicles must share their location with a server to receive relevant data, compromising their (location) privacy. To alleviate this privacy comp…

cs.NI2018

Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response

Flor Álvarez, Lars Almon, Patrick Lieser +5

Smartphone-based communication networks form a basis for services in emergency response scenarios, where communication infrastructure is impaired or overloaded. Still, their design…