Enhancing vigilance in operators with prefrontal cortex transcranial direct current stimulation (tDCS). - Jeremy T. Nelson; R. Andy McKinley; Edward J. Golob; Joel S. Warm; Raja Parasuraman (NeuroImage, 2014)

Companion-Based Ambient Robust Intelligence (CARING). - Bonnie J. Dorr; Lucian Galescu; Edward J. Golob; Kristen Brent Venable; Yorick Wilks (AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2015)

Modelling Auditory Spatial Attention with Constraints. - Edward J. Golob; Kristen Brent Venable; Maxwell T. Anderson; Jesse A. Benzell; Jaelle Scheuerman (AIC, 2016)

Computational modeling of auditory spatial attention. - Edward J. Golob; Kristen Brent Venable; Jaelle Scheuerman; Maxwell T. Anderson (CogSci, 2017)

Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations. - Jaelle Scheuerman; Kristen Brent Venable; Maxwell T. Anderson; Edward J. Golob (CAID@IJCAI, 2017)

Modeling spatial auditory attention in ACT-R: a constraint-based approach. - Jaelle Scheuerman; Kristen Brent Venable; Maxwell T. Anderson; Edward J. Golob (BICA, 2018)

Computational Model of Spatial Auditory Attention in ACT-R. - Jaelle Scheuerman; Maxwell T. Anderson; Kristen Brent Venable; Edward J. Golob (CogSci, 2018)

Single-Trial Classification of Disfluent Brain States in Adults Who Stutter. - Jeffrey Mock; John Myers; Farzan Irani; Kay Robbins; Edward J. Golob (SMC, 2018)

Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. - Zhentao Liu; Jeffrey Mock; Yufei Huang 001; Edward J. Golob (SMC, 2019)

A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. - Sharaj Panwar; Paul Rad; John Quarles; Edward J. Golob; Yufei Huang 001 (SMC, 2019)

Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. - Arun Das 001; Jeffrey Mock; Henry Chacon; Farzan Irani; Edward J. Golob; Peyman Najafirad (CoRR, 2020)

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. - Arun Das 001; Jeffrey Mock; Yufei Huang 001; Edward J. Golob; Peyman Najafirad (AAAI, 2021)

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. - 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 (CoRR, 2023)

Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. - Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Stanford Martinez; Angel Brisco; Nicholas Czarnek; Adel Alaeddini; Jeffrey R. Mock; Edward J. Golob; Kal L. Clark (CoRR, 2023)