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Fred Hasselman

Showing results (1-10 of 39) with videos related to

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Frontiers in Physiology|April 13, 2013
When the blind curve is finite: dimension estimation and model inference based on empirical waveformsFred Hasselman
Frontiers in Physiology|May 23, 2022
Early Warning Signals in Phase Space: Geometric Resilience Loss Indicators From Multiplex Cumulative Recurrence NetworksFred Hasselman
Development and Psychopathology|October 10, 2023
Understanding the complexity of individual developmental pathways: A primer on metaphors, models, and methods to study resilience in developmentFred Hasselman
Peerj|April 3, 2015
Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signalFred Hasselman
Frontiers in Psychology|April 25, 2022
Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine LearningSietske Walda, Fred Hasselman, Anna Bosman
Plos One|January 26, 2013
The case of Watson vs. James: effect-priming studies do not support ideomotor theoryRalf F A Cox, Fred Hasselman
Psychological Methods|December 14, 2023
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel methodJingmeng Cui, Fred Hasselman, Anna Lichtwarck-Aschoff
BMC Medicine|October 8, 2020
Complexity in psychological self-ratings: implications for research and practiceMerlijn Olthof, Fred Hasselman, Anna Lichtwarck-Aschoff
Plos One|February 16, 2022
From work stress to disease: A computational modelRemco Benthem de Grave, Fred Hasselman, Erik Bijleveld
Journal of Psychopathology and Clinical Science|March 20, 2025
Understanding types of transitions in clinical change: An introduction from the complex dynamic systems perspectiveJingmeng Cui, Fred Hasselman, Merlijn Olthof, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Frontiers in Physiology|April 13, 2013
When the blind curve is finite: dimension estimation and model inference based on empirical waveformsFred Hasselman
Frontiers in Physiology|May 23, 2022
Early Warning Signals in Phase Space: Geometric Resilience Loss Indicators From Multiplex Cumulative Recurrence NetworksFred Hasselman
Development and Psychopathology|October 10, 2023
Understanding the complexity of individual developmental pathways: A primer on metaphors, models, and methods to study resilience in developmentFred Hasselman
Peerj|April 3, 2015
Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signalFred Hasselman
Frontiers in Psychology|April 25, 2022
Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine LearningSietske Walda, Fred Hasselman, Anna Bosman
Plos One|January 26, 2013
The case of Watson vs. James: effect-priming studies do not support ideomotor theoryRalf F A Cox, Fred Hasselman
Psychological Methods|December 14, 2023
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel methodJingmeng Cui, Fred Hasselman, Anna Lichtwarck-Aschoff
BMC Medicine|October 8, 2020
Complexity in psychological self-ratings: implications for research and practiceMerlijn Olthof, Fred Hasselman, Anna Lichtwarck-Aschoff
Plos One|February 16, 2022
From work stress to disease: A computational modelRemco Benthem de Grave, Fred Hasselman, Erik Bijleveld
Journal of Psychopathology and Clinical Science|March 20, 2025
Understanding types of transitions in clinical change: An introduction from the complex dynamic systems perspectiveJingmeng Cui, Fred Hasselman, Merlijn Olthof, et al.
Pageof 4