Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. - David Bethge; Jieshi Chen; Oliver Grothe; Jonathan Elmer; Artur Dubrawski (ICDM Workshops, 2019)

Analyzing Transferability of Happiness Detection via Gaze Tracking in Multimedia Applications. - David Bethge; Lewis L. Chuang; Tobias Grosse-Puppendahl (ETRA Adjunct, 2020)

HMInference: Inferring Multimodal HMI Interactions in Automotive Screens. - Jannik Wolf; Marco Wiedner; Mohamed Kari; David Bethge (AutomotiveUI, 2021)

TransforMR: Pose-Aware Object Substitution for Composing Alternate Mixed Realities. - Mohamed Kari; Tobias Grosse-Puppendahl; Luis Falconeri Coelho; Andreas Rene Fender; David Bethge; Reinhard Schütte; Christian Holz 001 (ISMAR, 2021)

VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time. - David Bethge; Thomas Kosch; Tobias Grosse-Puppendahl; Lewis L. Chuang; Mohamed Kari; Alexander Jagaciak; Albrecht Schmidt 001 (UIST, 2021)

SoundsRide: Affordance-Synchronized Music Mixing for In-Car Audio Augmented Reality. - Mohamed Kari; Tobias Grosse-Puppendahl; Alexander Jagaciak; David Bethge; Reinhard Schütte; Christian Holz 001 (UIST, 2021)

Exploiting Multiple EEG Data Domains with Adversarial Learning. - David Bethge; Philipp Hallgarten; Ozan Özdenizci; Ralf Mikut; Albrecht Schmidt 001; Tobias Grosse-Puppendahl (EMBC, 2022)

Domain-Invariant Representation Learning from EEG with Private Encoders. - David Bethge; Philipp Hallgarten; Tobias Grosse-Puppendahl; Mohamed Kari; Ralf Mikut; Albrecht Schmidt 001; Ozan Özdenizci (ICASSP, 2022)

Empathic Technologies Shaping Innovative Interaction: Future Directions of Affective Computing. - Esther Bosch; David Bethge; Marie Klosterkamp; Thomas Kosch (NordiCHI (Adjunct), 2022)

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. - David Bethge; Philipp Hallgarten; Tobias Grosse-Puppendahl; Mohamed Kari; Lewis L. Chuang; Ozan Özdenizci; Albrecht Schmidt 001 (SMC, 2022)

Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context. - David Bethge; Luis Falconeri Coelho; Thomas Kosch; Satiyabooshan Murugaboopathy; Ulrich von Zadow; Albrecht Schmidt 001; Tobias Grosse-Puppendahl (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. - David Bethge; Constantin Patsch; Philipp Hallgarten; Thomas Kosch (CHI Extended Abstracts, 2023)

TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. - Philipp Hallgarten; David Bethge; Ozan Özdenizci; Tobias Grosse-Puppendahl; Enkelejda Kasneci (EUSIPCO, 2023)

Machine learning systems for human emotional states. - David Bethge (2023)

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation. - David Bethge; Daniel Bulanda; Adam Kozlowski; Thomas Kosch; Albrecht Schmidt 001; Tobias Grosse-Puppendahl (CoRR, 2024)

A Multimodal Approach for Targeting Error Detection in Virtual Reality Using Implicit User Behavior. - Naveen Sendhilnathan; Ting Zhang 013; David Bethge; Michael Nebeling; Tovi Grossman; Tanya R. Jonker (CHI, 2025)