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Kristoffer Laigaard Nielbo
Kristoffer Laigaard Nielbo
Center for Humanities Computing, Aarhus University
Verified email at cas.au.dk - Homepage
Title
Cited by
Cited by
Year
Cognitive resource depletion in religious interactions
U Schjoedt, J Sørensen, KL Nielbo, D Xygalatas, P Mitkidis, J Bulbulia
Religion, Brain & Behavior 3 (1), 39-55, 2013
1892013
Are we exposed to the same “news” in the news feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users
A Bechmann, KL Nielbo
Digital journalism 6 (8), 990-1002, 2018
1032018
Mystical experience in the lab
M Andersen, U Schjoedt, KL Nielbo, J Sørensen
Method & Theory in the Study of Religion 26 (3), 217-245, 2014
962014
Spontaneous processing of functional and non-functional action sequences
KL Nielbo, J Sørensen
Religion, Brain & Behavior 1 (1), 18-30, 2011
772011
Hierarchical organization of segmentation in non-functional action sequences
KL Nielbo, U Schjoedt, J Sørensen
Journal for the Cognitive Science of Religion 1 (1), 71-97, 2013
442013
Prediction error during functional and non-functional action sequences: A computational exploration of ritual and ritualized event processing
KL Nielbo, J Sørensen
Journal of Cognition and Culture 13 (3-4), 347-365, 2013
412013
Collective-goal ascription increases cooperation in humans
P Mitkidis, J Sørensen, KL Nielbo, M Andersen, P Lienard
PloS one 8 (5), e64776, 2013
402013
Computing religion: A new tool in the multilevel analysis of religion
KL Nielbo, DM Braxton, A Upal
Method & Theory in the Study of Religion 24 (3), 267-290, 2012
362012
The resource model and the principle of predictive coding: A framework for analyzing proximate effects of ritual
U Schjoedt, J Sørensen, KL Nielbo, D Xygalatas, P Mitkidis, J Bulbulia
Religion, Brain & Behavior 3 (1), 79-86, 2013
352013
Attentional resource allocation and cultural modulation in a computational model of ritualized behavior
KL Nielbo, J Sørensen
Religion, Brain & Behavior 6 (4), 318-335, 2016
262016
Predictive minds in Ouija board sessions
M Andersen, KL Nielbo, U Schjoedt, T Pfeiffer, A Roepstorff, J Sørensen
Phenomenology and the Cognitive Sciences 18, 577-588, 2019
232019
Dynamic evolution of sentiments in Never Let Me Go: Insights from multifractal theory and its implications for literary analysis
Q Hu, B Liu, MR Thomsen, J Gao, KL Nielbo
Digital Scholarship in the Humanities 36 (2), 322-332, 2021
212021
Traveling companions add complexity and hinder performance in the spatial behavior of rats
A Dorfman, KL Nielbo, D Eilam
PLoS One 11 (1), e0146137, 2016
212016
Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data
AA Danielsen, MHJ Fenger, SD Østergaard, KL Nielbo, O Mors
Acta Psychiatrica Scandinavica 140 (2), 147-157, 2019
202019
Modeling the Contested Relationship between Analects, Mencius, and Xunzi: Preliminary Evidence from a Machine-Learning Approach
R Nichols, E Slingerland, K Nielbo, U Bergeton, C Logan, S Kleinman
The Journal of Asian Studies 77 (1), 19-57, 2018
202018
DaCy: A unified framework for Danish NLP
K Enevoldsen, L Hansen, K Nielbo
arXiv preprint arXiv:2107.05295, 2021
152021
A curious case of entropic decay: Persistent complexity in textual cultural heritage
KL Nielbo, KF Baunvig, B Liu, J Gao
Digital Scholarship in the Humanities 34 (3), 542-557, 2019
142019
Does goal-demotion enhance cooperation?
P Mitkidis, P Lienard, KL Nielbo, J Sørensen
Journal of cognition and culture 14 (3-4), 263-272, 2014
122014
Fractal Sentiments and Fairy Tales-Fractal scaling of narrative arcs as predictor of the perceived quality of Andersen's fairy tales
Y Bizzoni, T Peura, M Thomsen, K Nielbo
Journal of Data Mining & Digital Humanities, 2022
112022
Monitoring of COVID-19 pandemic-related psychopathology using machine learning
KC Enevoldsen, AA Danielsen, C Rohde, OH Jefsen, KL Nielbo, ...
Acta Neuropsychiatrica 34 (3), 148-152, 2022
112022
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