BM
Meuleman, Ben
Affiliation entities
Research groups
Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
---|---|---|---|---|---|---|---|
“Not in the mood”: The fear of being laughed at is better predicted by humor temperament traits than diagnosis in neurodevelopmental conditions | Research in developmental disabilities | 2023 | 30 | 14 | |||
Anxiety in families of individuals with neurodevelopmental conditions in the early months of the COVID-19 pandemic in Switzerland | Frontiers in education | 2023 | 25 | 11 | |||
Anxiety, concerns and COVID-19: Cross-country perspectives from families and individuals with neurodevelopmental conditions | Journal of global health | 2023 | 26 | 15 | |||
Computational imaging during video game playing shows dynamic synchronization of cortical and subcortical networks of emotions | PLOS Biology | 2020 | 336 | 159 | |||
Induction and profiling of strong multi-componential emotions in virtual reality | IEEE Transactions on Affective Computing | 2018 | 598 | 818 | |||
Interaction and Threshold Effects of Appraisal on Componential Patterns of Emotion: A Study Using Cross-Cultural Semantic Data | Emotion | 2018 | 506 | 6 | |||
Improving Older Adults' Working Memory: the Influence of Age and Crystallized Intelligence on Training Outcomes | Journal of Cognitive Enhancement | 2017 | 462 | 612 | |||
Emotion perception from a componential perspective | Cognition and Emotion | 2017 | 471 | 6 | |||
Computational modeling of appraisal theory of emotion | 2015 | 1,243 | 885 | ||||
Automated Recognition of Emotion Appraisals | Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics | 2015 | 626 | 494 | |||
Human Emotion Experiences Can Be Predicted on Theoretical Grounds: Evidence from Verbal Labeling | PloS one | 2013 | 618 | 235 | |||
Nonlinear Appraisal Modeling: An Application of Machine Learning to the Study of Emotion Production | IEEE Transactions on Affective Computing | 2013 | 571 | 543 | |||
Advocating a Componential Appraisal Model to Guide Emotion Recognition | International Journal of Synthetic Emotions | 2012 | 632 | 546 |