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2020 – today
- 2024
[j7]Kateryna Melnyk
, Lee Friedman, Dmytro Katrychuk, Oleg Komogortsev:
Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters. Proc. ACM Comput. Graph. Interact. Tech. 7(2): 24:1-24:20 (2024)- [c3]Samantha Aziz, Dillon J. Lohr, Lee Friedman, Oleg Komogortsev:
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. ETRA 2024: 7:1-7:8 - [c2]Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg Komogortsev:
Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies. ETRA 2024: 20:1-20:7 - [i17]Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg V. Komogortsev:
Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline. CoRR abs/2402.16399 (2024) - [i16]Samantha Aziz, Dillon J. Lohr, Lee Friedman, Oleg Komogortsev:
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. CoRR abs/2403.07210 (2024) - [i15]Lee Friedman, Oleg V. Komogortsev:
Evidence for five types of fixation during a random saccade eye tracking task: Implications for the study of oculomotor fatigue. CoRR abs/2406.01496 (2024) - 2023
- [i14]Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev:
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series. CoRR abs/2302.00029 (2023) - [i13]Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev:
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters. CoRR abs/2303.02134 (2023) - [i12]Mehedi Hasan Raju, Lee Friedman, Dillon J. Lohr, Oleg Komogortsev:
The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance. CoRR abs/2305.04413 (2023) - 2022
- [i11]Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev:
Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals. CoRR abs/2209.07657 (2022) - [i10]Dillon J. Lohr, Samantha Aziz, Lee Friedman, Oleg V. Komogortsev:
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. CoRR abs/2210.07533 (2022) - 2020
- [j6]Lee Friedman, Hal S. Stern, Larry R. Price, Oleg V. Komogortsev:
Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. Sensors 20(16): 4555 (2020) - [i9]Lee Friedman, Hal Stern, Larry R. Price, Oleg V. Komogortsev:
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance. CoRR abs/2001.09100 (2020)
2010 – 2019
- 2019
- [j5]Lee Friedman, Oleg V. Komogortsev:
Assessment of the Effectiveness of Seven Biometric Feature Normalization Techniques. IEEE Trans. Inf. Forensics Secur. 14(10): 2528-2536 (2019) - [i8]Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev:
Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades. CoRR abs/1904.07361 (2019) - [i7]Lee Friedman, Hal S. Stern, Oleg V. Komogortsev:
The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER. CoRR abs/1906.06262 (2019) - [i6]Lee Friedman, Hal S. Stern, Vladyslav Prokopenko, Oleg V. Komogortsev:
Relationship between Number of Subjects and Biometric Authentication Equal Error Rates. CoRR abs/1906.06272 (2019) - [i5]Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev:
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. CoRR abs/1912.02083 (2019) - 2017
- [i4]Ioannis Rigas, Lee Friedman, Oleg Komogortsev:
A Study on the Extraction and Analysis of a Large Set of Eye Movement Features during Reading. CoRR abs/1703.09167 (2017) - [i3]Lee Friedman, Oleg Komogortsev:
Synthetic Database for Evaluation of General, Fundamental Biometric Principles. CoRR abs/1707.09543 (2017) - [i2]Evgeniy Abdulin, Lee Friedman, Oleg V. Komogortsev:
Method to Detect Eye Position Noise from Video-Oculography when Detection of Pupil or Corneal Reflection Position Fails. CoRR abs/1709.02700 (2017) - 2016
- [i1]Lee Friedman, Ioannis Rigas, Mark S. Nixon, Oleg V. Komogortsev:
Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases. CoRR abs/1609.03948 (2016)
2000 – 2009
- 2008
- [j4]Lee Friedman, Jessica A. Turner, Hal S. Stern, Daniel H. Mathalon, Liv C. Trondsen, Steven G. Potkin:
Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls. NeuroImage 40(3): 1181-1194 (2008) - 2006
- [j3]Vincent Magnotta, Lee Friedman:
Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study. J. Digit. Imaging 19(2): 140-147 (2006) - [j2]Lee Friedman, Gary H. Glover, Diana Krenz, Vince Magnotta:
Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization. NeuroImage 32(4): 1656-1668 (2006) - [j1]Lee Friedman, Gary H. Glover, The FBIRN Consortium:
Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differences. NeuroImage 33(2): 471-481 (2006)
1990 – 1999
- 1996
- [c1]David Dean, Peter Buckley, Fred L. Bookstein, Janardhan Kamath, David Kwon, Lee Friedman, Christine Lys:
Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles. VBC 1996: 363-372
Coauthor Index
aka: Oleg Komogortsev
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