David Bethge - RankMe

21 papers A* 4A 1B 1Misc 1Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Can AI Route You to Happiness? A Technical Study on Affective Automotive Navigation Interfaces. IUI David Bethge, Daniel Bulanda, Adam Kozlowski, Albrecht Schmidt, Tobias Grosse-Puppendahl, Thomas Kosch
2025	A*	`conf`	A Multimodal Approach for Targeting Error Detection in Virtual Reality Using Implicit User Behavior. CHI Naveen Sendhilnathan, Ting Zhang, David Bethge, Michael Nebeling, Tovi Grossman, Tanya R. Jonker
2024	J	`jnl`	HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation. CoRR David Bethge, Daniel Bulanda, Adam Kozlowski, Thomas Kosch, Albrecht Schmidt, Tobias Grosse-Puppendahl
2023	—	`conf`	Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. CHI Extended Abstracts David Bethge, Constantin Patsch, Philipp Hallgarten, Thomas Kosch
2023	—	`—`	Machine learning systems for human emotional states. David Bethge
2023	—	`conf`	TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. EUSIPCO Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
2023	J	`jnl`	TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. CoRR Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
2022	Misc	`conf`	Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	J	`jnl`	Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	B	`conf`	EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. SMC David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
2022	J	`jnl`	EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. CoRR David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
2022	—	`conf`	Empathic Technologies Shaping Innovative Interaction: Future Directions of Affective Computing. NordiCHI (Adjunct) Esther Bosch, David Bethge, Marie Klosterkamp, Thomas Kosch
2022	—	`conf`	Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	J	`jnl`	Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	J	`jnl`	Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. David Bethge, Luis Falconeri Coelho, Thomas Kosch, Satiyabooshan Murugaboopathy, Ulrich von Zadow, Albrecht Schmidt, Tobias Grosse-Puppendahl
2021	—	`conf`	HMInference: Inferring Multimodal HMI Interactions in Automotive Screens. AutomotiveUI Jannik Wolf, Marco Wiedner, Mohamed Kari, David Bethge
2021	A*	`conf`	SoundsRide: Affordance-Synchronized Music Mixing for In-Car Audio Augmented Reality. UIST Mohamed Kari, Tobias Grosse-Puppendahl, Alexander Jagaciak, David Bethge, Reinhard Schütte, Christian Holz
2021	A*	`conf`	TransforMR: Pose-Aware Object Substitution for Composing Alternate Mixed Realities. ISMAR Mohamed Kari, Tobias Grosse-Puppendahl, Luis Falconeri Coelho, Andreas Rene Fender, David Bethge, Reinhard Schütte, Christian Holz
2021	A*	`conf`	VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time. UIST David Bethge, Thomas Kosch, Tobias Grosse-Puppendahl, Lewis L. Chuang, Mohamed Kari, Alexander Jagaciak, Albrecht Schmidt
2020	—	`conf`	Analyzing Transferability of Happiness Detection via Gaze Tracking in Multimedia Applications. ETRA Adjunct David Bethge, Lewis L. Chuang, Tobias Grosse-Puppendahl
2019	—	`conf`	Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. ICDM Workshops David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski