Ingmar Visser
https://scholar.google.com/citations?user=VcrhCsgAAAAJ
https://zbmath.org/authors/?q=ai:visser.ingmar
https://mathscinet.ams.org/mathscinet/MRAuthorID/810252
https://mathgenealogy.org/id.php?id=278312
https://orcid.org/0000-0003-3855-2778
https://www.wikidata.org/entity/Q51877777
Luke Korthals
Hannes Rosenbusch
Raoul Grasman
Ingmar Visser
Grading University Students with LLMs: Performance and Acceptance of a Canvas-Based Automation.
36-43
2025
AIED Companion (2)
https://doi.org/10.1007/978-3-031-99264-3_5
conf/aied/2025c2
db/conf/aied/aied2025c2.html#KorthalsRGV25
Tamar Johnson
Alexandra Sarafoglou
Julia M. Haaf
Ingmar Visser
Jakub Szymanik
Comparing the Threshold and Prototype Model for Gradable Adjectives.
2024
CogSci
https://escholarship.org/uc/item/9w855420
conf/cogsci/2024
db/conf/cogsci/cogsci2024.html#JohnsonSHVS24
Marieke Jepma
Jessica V. Schaaf
Ingmar Visser
Hilde M. Huizenga
Uncertainty-driven regulation of learning and exploration in adolescents: A computational account.
2020
16
PLoS Comput. Biol.
9
https://doi.org/10.1371/journal.pcbi.1008276
https://www.wikidata.org/entity/Q100391619
db/journals/ploscb/ploscb16.html#JepmaSVH20
Ingmar Visser
Explaning developmental differences in category learning using COVIS.
2014
CogSci
https://escholarship.org/uc/item/7jr6z9wc
conf/cogsci/2014
db/conf/cogsci/cogsci2014.html#Visser14
Ingmar Visser
Maarten Speekenbrink
Types and states: Mixture and hidden Markov models for cognitive science.
2014
CogSci
https://escholarship.org/uc/item/5119c97m
conf/cogsci/2014
db/conf/cogsci/cogsci2014.html#VisserS14
Ingmar Visser
Maarten Speekenbrink
It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models.
2014
CogSci
https://escholarship.org/uc/item/0h89f38v
conf/cogsci/2014
db/conf/cogsci/cogsci2014.html#VisserS14a
Maarten Speekenbrink
Ingmar Visser
Types and states: Mixture and hidden Markov modelling for the cognitive sciences.
2013
CogSci
https://escholarship.org/uc/item/7jk4k9zj
conf/cogsci/2013
db/conf/cogsci/cogsci2013.html#SpeekenbrinkV13
Gilles Dutilh
Eric-Jan Wagenmakers
Ingmar Visser
Han L. J. van der Maas
A Phase Transition Model for the Speed-Accuracy Trade-Off in Response Time Experiments.
211-250
2011
35
Cogn. Sci.
2
https://doi.org/10.1111/j.1551-6709.2010.01147.x
https://www.wikidata.org/entity/Q51877724
db/journals/cogsci/cogsci35.html#DutilhWVM11
Brenda R. J. Jansen
Maartje E. J. Raijmakers
Ingmar Visser
Rule transition on the balance scale task: a case study in belief change.
211-236
2007
155
Synth.
2
https://doi.org/10.1007/s11229-006-9142-9
https://www.wikidata.org/entity/Q57825225
db/journals/synthese/synthese155.html#JansenRV07
Ingmar Visser
Maartje E. J. Raijmakers
Peter C. M. Molenaar
Fitting hidden Markov models to psychological data.
185-199
2002
10
Sci. Program.
3
db/journals/sp/sp10.html#VisserRM02
https://doi.org/10.1155/2002/874560
http://content.iospress.com/articles/scientific-programming/spr00112
Ingmar Visser
Maartje E. J. Raijmakers
Peter C. M. Molenaar
Hidden Markov Model Interpretations of Neural Networks.
197-206
2000
NCPW
https://doi.org/10.1007/978-1-4471-0281-6_20
conf/ncpw/2000
db/conf/ncpw/ncpw2000.html#VisserRM00
Gilles Dutilh
Raoul Grasman
Julia M. Haaf
Hilde M. Huizenga
Brenda R. J. Jansen
Marieke Jepma
Tamar Johnson
Luke Korthals
Han L. J. van der Maas
Peter C. M. Molenaar
Maartje E. J. Raijmakers
Hannes Rosenbusch
Alexandra Sarafoglou
Jessica V. Schaaf
Maarten Speekenbrink
Jakub Szymanik
Eric-Jan Wagenmakers