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Entries of Niehorster, Diederick C. on the publication server
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Number of items: 5.
2021
Zemblys, Raimondas 
, Niehorster, Diederick C. and Holmqvist, Kenneth
(2021)
Evaluating three approaches to binary event-level agreement scoring. A reply to Friedman (2020).
Behavior Research Methods 53 (1), pp. 325-334.
Fulltext not available.
, Niehorster, Diederick C. and Holmqvist, Kenneth
(2021)
Evaluating three approaches to binary event-level agreement scoring. A reply to Friedman (2020).
Behavior Research Methods 53 (1), pp. 325-334.
Fulltext not available.
Niehorster, Diederick C. , Zemblys, Raimondas and Holmqvist, Kenneth
(2021)
Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation?
Behavior Research Methods 53 (1), pp. 311-324.
Fulltext not available.
, Zemblys, Raimondas and Holmqvist, Kenneth
(2021)
Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation?
Behavior Research Methods 53 (1), pp. 311-324.
Fulltext not available.
2020
Niehorster, Diederick C. , Zemblys, Raimondas , Beelders, Tanya and Holmqvist, Kenneth
(2020)
Characterizing gaze position signals and synthesizing noise during fixations in eye-tracking data.
Behavior Research Methods 52 (6), pp. 2515-2534.
Fulltext not available.
, Zemblys, Raimondas , Beelders, Tanya and Holmqvist, Kenneth
(2020)
Characterizing gaze position signals and synthesizing noise during fixations in eye-tracking data.
Behavior Research Methods 52 (6), pp. 2515-2534.
Fulltext not available.
2019
Niehorster, Diederick C. , Cornelissen, Tim, Holmqvist, Kenneth and Hooge, Ignace
(2019)
Searching with and against each other: Spatiotemporal coordination of visual search behavior in collaborative and competitive settings.
Attention, Perception, and Psychophysics 81, pp. 666-683.
Zemblys, Raimondas, Niehorster, Diederick C. and Holmqvist, Kenneth
(2019)
gazeNet: End-to-end eye-movement event detection with deep neural networks.
Behavior Research Methods 51, pp. 840-864.
Fulltext not available.
and Holmqvist, Kenneth
(2019)
gazeNet: End-to-end eye-movement event detection with deep neural networks.
Behavior Research Methods 51, pp. 840-864.
Fulltext not available.
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