| Deep learning classification of 3.5-GHz band spectrograms with applications to spectrum sensing WM Lees, A Wunderlich, PJ Jeavons, PD Hale, MR Souryal IEEE transactions on cognitive communications and networking 5 (2), 224-236, 2019 | 96 | 2019 |
| Characterizing LTE user equipment emissions: factor screening J Coder, J Coder, A Wunderlich, M Frey, P Blanchard, D Kuester, A Kord, ... US Department of Commerce, National Institute of Standards and Technology, 2019 | 4 | 2019 |
| Spectrum occupancy and ambient power distributions for the 3.5 GHz band estimated from observations at Point Loma and Fort Story WM Lees, WM Lees, A Wunderlich, P Jeavons, PD Hale, MR Souryal US Department of Commerce, National Institute of Standards and Technology, 2018 | 3 | 2018 |
| Automated Generation of Data Quality Checks by Identifying Key Dimensions and Values WM Lees, Y Liu, S Lee, M Li, K He, E Cunningham, DR Cruz, C Ezete, ... | | 2021 |
| Data Quality Coverage WM Lees, Y Liu, S Lee, M Li, K He, E Wu, E Cunningham, DR Cruz, ... | | 2021 |
| PREVENTING OVERFITTING IN CONVOLUTIONAL NEURAL NETWORKS DURING CLASSIFICATION OF MULTIVARIATE SPATIOTEMPORAL DATA W LEES University of Colorado, 2017 | | 2017 |
Adam WunderlichNational Institute of Standards and Technology - Boulder, ColoradoVerified email at nist.gov
