Classification of ADHD and non-ADHD subjects using a universal background model JL Marcano, MA Bell, AAL Beex Biomedical signal processing and control 39, 204-212, 2018 | 38 | 2018 |
Virtual road signs: Augmented reality driving aid for novice drivers P Rane, H Kim, JL Marcano, JL Gabbard Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60 (1 …, 2016 | 27 | 2016 |
Trends in mobile cyber-physical systems for health just-in time interventions LG Jaimes, J Calderon, J Lopez, A Raij SoutheastCon 2015, 1-6, 2015 | 24 | 2015 |
A cooperative incentive mechanism for recurrent crowd sensing LG Jaimes, A Chakeri, J Lopez, A Raij SoutheastCon 2015, 1-5, 2015 | 19 | 2015 |
Classification of ADHD and non-ADHD using AR models JLL Marcano, MA Bell, AAL Beex 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 17 | 2016 |
Classification of ADHD and Non-ADHD using theta/beta power ratio features JLL Marcano, MA Bell, AAL Beex 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 8 | 2017 |
EEG channel selection for AR model based ADHD classification JLL Marcano, MA Bell, AAL Beex 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2016 | 8 | 2016 |
Classification of ADHD and non-ADHD using AR models and machine learning algorithms JL Lopez Marcano Virginia Tech, 2016 | 7 | 2016 |
Classification of ADHD and Non-ADHD Using AR Models and Machine Learning Algorithms JL Marcano, AA Beex, CSBJA Paul MS Electrical Engineering, Electrical and Computer Engineering, Virginia …, 2016 | 4 | 2016 |
Sensing and visualization tools for objective assessment and debriefing of high-risk neonatal resuscitation training scenarios. SA Syed, S Nukala, JL Marcano, WL Bedwell, L Haubner, A Raij MMVR, 416-422, 2014 | | 2014 |