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Jeffrey Mock
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2020 – today
- 2023
- [i3]Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob:
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. CoRR abs/2308.02748 (2023) - [i2]Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez, Angel Brisco, Nicholas Czarnek, Adel Alaeddini, Jeffrey R. Mock, Edward J. Golob, Kal L. Clark:
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. CoRR abs/2308.06280 (2023) - 2021
- [c3]Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI 2021: 818-826 - 2020
- [i1]Arun Das
, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad:
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. CoRR abs/2010.01231 (2020)
2010 – 2019
- 2019
- [c2]Zhentao Liu, Jeffrey Mock, Yufei Huang, Edward J. Golob:
Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. SMC 2019: 1298-1303 - 2018
- [c1]Jeffrey Mock, John Myers, Farzan Irani
Single-Trial Classification of Disfluent Brain States in Adults Who Stutter. SMC 2018: 57-62
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