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Disambiguation of "Chuang, L."

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Eye Movement Planning on Single-Sensor-Single-Indicator Displays is Vulnerable to User Anxiety and Cognitive Load

, , , and . Journal of Eye Movement Research, 10 (5): 8:1-8:15 (2017)
DOI: 10.16910/jemr.10.5.8

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Dongwon Lee University of Stuttgart

Primary drainage experiments and fractal dimensions, , , and . Dataset, (2024)

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)
Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality Assessment, , , , , , and . Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRI, , , , , , , , and . Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Funing Li University of Stuttgart

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups, , , and . Journal of Intelligent Manufacturing, (2023)
 

Other publications of authors with the same name

Using EEG to understand why behavior to auditory in-vehicle notifications differs across test Environments, , and . 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), page 123--133. (2017)Sensory Amplification Through Crossmodal Stimulation, , , , and . (2017)Eye Movement Planning on Single-Sensor-Single-Indicator Displays is Vulnerable to User Anxiety and Cognitive Load, , , and . Journal of Eye Movement Research, 10 (5): 8:1-8:15 (2017)How do image complexity, task demands and looking biases influence human gaze behavior?, , and . Pattern Recognition Letters, 34 (7): 723-730 (2013)In press: Unsupervised clustering of EOG as a viable substitute for optical eye-tracking, , , and . First Workshop on Eye Tracking and Visualization at IEEE Visualization, (2015)Towards a Better Understanding of Gaze Behavior in the Automobile, and . (September 2015)Position Paper for Workshop on Practical Experiences in Measuring and Modeling Drivers and Driver-Vehicle Interactions In conjunction with AutomotiveUI 2015.Eye Tracking and Visualization: Foundations, Techniques, and Applications, , , , and . Springer, Berlin, Heidelberg, (2016)Human-Centered Design and Evaluation of Haptic Cueing for Teleoperation of Multiple Mobile Robots., , , , , and . IEEE Trans. Cybernetics, 43 (2): 597-609 (2013)Recursive TMR: Scaling Fault Tolerance in the Nanoscale Era., , , , and . IEEE Design & Test of Computers, 22 (4): 298-305 (2005)Data-driven approaches to unrestricted gaze-tracking benefit from saccade filtering, , , and . Second Workshop on Eye Tracking and Visualization, IEEE Visualization 2016, (2016)