VLDB 2026 Research / reviewers in the wild / expert

Mathias Benedek

dblp:152/0405 · DBLP profile ↗
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7ranked-venue papers
1as first author
5since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 1 first-author · 5 since 2021Applied, interdisciplinary, general and emerging computing · 6 · 1 first-author · 5 since 2021Human-computer interaction and ubiquitous computing · 1
YearPublicationVenuePosition
2022 A process-oriented approach to creative metacognition
Mathias Benedek, Izabela Lebuda
 CogSci1
2022 Do we mostly use only 10% of our brain? Prevalence and correlates of misconceptions on creativity and neuroscience in a culturally diverse sample
Simon M. Ceh, Izabela Lebuda, Mathias Benedek
 CogSci3
2022 Exploring perceptual decoupling in the context of smooth pursuit eye movement
Ziva Korda, Sonja Walcher, Christof Körner, Mathias Benedek
 CogSci4
2022 An investigation of the cognitive and neural correlates of semantic memory search related to creative ability
Marcela Ovando Tellez, Mathias Benedek, Yoed N. Kenett, Thomas T. Hills, Sarah Bouanane, Matthieu Bernard, Joan Belo, Théophile Bieth, Emmanuelle Volle
 CogSci2
2021 Brain Connectivity-Based Prediction of Semantic Network Properties Related to Creativity
Marcela Ovando Tellez, Yoed N. Kenett, Mathias Benedek, Emmanuelle Volle
 CogSci3
2019 Building individual semantic networks and exploring their relationships with creativity
Matthieu Bernard, Yoed N. Kenett, Marcela Ovando Tellez, Mathias Benedek, Emmanuelle Volle
 CogSci4
2018 Dozing Off or Thinking Hard?: Classifying Multi-dimensional Attentional States in the Classroom from Video
abstract
In this paper, we extract features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting. We concentrate on the analysis of different definitions for a student's attention and show that available generic video processing components and a single video camera are sufficient to estimate the attentional state.
Felix Putze, Dennis Küster, Sonja Walcher, Mathias Benedek
 ICMI4