Publikationen

Lauren Michelle Pfeifer; Matias Valdenegro-Toro

Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS2020, December 7, Virtual, Keine, 2020.

Akshatha Kamath; Dwaraknath Gnaneshwar; Matias Valdenegro-Toro

Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation

In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop …

Matthias Rosynski; Frank Kirchner; Matias Valdenegro-Toro

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop …

Luis Octavio Arriaga Camargo; Matias Valdenegro-Toro

Unsupervised Difficulty Estimation with Action Scores

In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS 2020, December 7, Virtual, arXiv, 2020.

Oliver Amft; Luis Ignacio Lopera; Paul Lukowicz; Sizhen Bian; Paul Burggraf

Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing

In: IEEE Pervasive Computing, Vol. 19, Pages 53-60, IEEE, 12/2020.

Simon Duque Antón; Daniel Fraunholz; Daniel Schneider

Investigating the Ecosystem of Offensive Information Security Tools

In: Hans Dieter Schotten; Bin Han (Hrsg.). Proceedings of the 1st Workshop on Next Generation Networks and Applications. Workshop on Next Generation …

Atanas Poibrenski; Matthias Klusch; Igor Vozniak; Christian Müller