Simon M. Hofmann

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Learning Models

Physiological Signals

Top Venues

Publications

Arian Beckmann, Tilman Stephani, Felix Klotzsche, Yonghao Chen, Simon M. Hofmann, Arno Villringer, Michael Gaebler, Vadim V. Nikulin, Sebastian Bosse, Peter Eisert, Anna Hilsmann
EEG-Features for Generalized Deepfake Detection. CoRR (2024)
Charlotte Beylier, Simon M. Hofmann, Nico Scherf
Revealing the learning process in reinforcement learning agents through attention-oriented metrics. CoRR (2024)
Klaus-Robert Müller, Simon M. Hofmann
Interpreting Deep Learning Models for Multi-modal Neuroimaging. BCI (2023)
Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage 261 (2022)
Ekaterina Sangati, Simon M. Hofmann
The Role of Co-Representations in Joint Tracking. ALIFE (2020)
Felix Klotzsche, Alberto Mariola, Simon M. Hofmann, Vadim V. Nikulin, Arno Villringer, Michael Gaebler
Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster Ride. VR (2018)
Simon M. Hofmann, Felix Klotzsche, Alberto Mariola, Vadim V. Nikulin, Arno Villringer, Michael Gaebler
Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs. AIVR (2018)