| 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 | 24 | 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 | 23 | 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 | 22 | 2015 |
| A cooperative incentive mechanism for recurrent crowd sensing LG Jaimes, A Chakeri, J Lopez, A Raij SoutheastCon 2015, 1-5, 2015 | 16 | 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 | 15 | 2016 |
| Classification of ADHD and non-ADHD using AR models and machine learning algorithms JL Lopez Marcano Virginia Tech, 2016 | 6 | 2016 |
| 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 | 5 | 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 | 4 | 2017 |
| 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 |
