Lee Friedman
Orcid: 0000-0002-6385-1035
According to our database1,
Lee Friedman
authored at least 27 papers
between 1996 and 2025.
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Bibliography
2025
CoRR, January, 2025
2024
Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters.
Proc. ACM Comput. Graph. Interact. Tech., May, 2024
Evidence for five types of fixation during a random saccade eye tracking task: Implications for the study of oculomotor fatigue.
CoRR, 2024
Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline.
CoRR, 2024
Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies.
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro.
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024
2023
The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance.
CoRR, 2023
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters.
CoRR, 2023
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series.
CoRR, 2023
2022
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality.
CoRR, 2022
CoRR, 2022
2020
Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance.
Sensors, 2020
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance.
CoRR, 2020
2019
IEEE Trans. Inf. Forensics Secur., 2019
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive.
CoRR, 2019
Relationship between Number of Subjects and Biometric Authentication Equal Error Rates.
CoRR, 2019
The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER.
CoRR, 2019
Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades.
CoRR, 2019
2017
Method to Detect Eye Position Noise from Video-Oculography when Detection of Pupil or Corneal Reflection Position Fails.
CoRR, 2017
A Study on the Extraction and Analysis of a Large Set of Eye Movement Features during Reading.
CoRR, 2017
CoRR, 2017
2016
Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases.
CoRR, 2016
2008
Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls.
NeuroImage, 2008
2006
Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization.
NeuroImage, 2006
Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differences.
NeuroImage, 2006
Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study.
J. Digit. Imaging, 2006
1996
Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles.
Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996