| Fourier-Based Transmit Beampattern Design Using MIMO Radar J Lipor, S Ahmed, M Alouini Signal Processing, IEEE Transactions on 62 (9), 2226-2235, 2014 | 142 | 2014 |
| Seizure detection using the phase-slope index and multichannel ECoG P Rana, J Lipor, H Lee, W Van Drongelen, MH Kohrman, B Van Veen IEEE Transactions on Biomedical Engineering 59 (4), 1125-1134, 2012 | 64 | 2012 |
| Robust blind calibration via total least squares J Lipor, L Balzano 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 47 | 2014 |
| Subspace Clustering using Ensembles of -Subspaces J Lipor, D Hong, YS Tan, L Balzano arXiv preprint arXiv:1709.04744, 2017 | 31* | 2017 |
| Determining the optimum wavelength pairs to use for molecular absorption thermometry based on the continuous-spectral lower-state energy X An, AW Caswell, JJ Lipor, ST Sanders Journal of Quantitative Spectroscopy and Radiative Transfer 112 (14), 2355-2362, 2011 | 28 | 2011 |
| Clustering quality metrics for subspace clustering J Lipor, L Balzano Pattern Recognition 104, 107328, 2020 | 24 | 2020 |
| Leveraging union of subspace structure to improve constrained clustering J Lipor, L Balzano International Conference on Machine Learning, 2130-2139, 2017 | 21 | 2017 |
| Improving -Subspaces via Coherence Pursuit A Gitlin, B Tao, L Balzano, J Lipor IEEE Journal of Selected Topics in Signal Processing 12 (6), 1575-1588, 2018 | 20 | 2018 |
| Distance-penalized active learning using quantile search J Lipor, BP Wong, D Scavia, B Kerkez, L Balzano IEEE Transactions on Signal Processing 65 (20), 5453-5465, 2017 | 16 | 2017 |
| Optimized wavelength selection for molecular absorption thermometry X An, AW Caswell, JJ Lipor, ST Sanders Applied Spectroscopy 69 (4), 464-472, 2015 | 13 | 2015 |
| When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey Geothermics 110, 102662, 2023 | 12 | 2023 |
| Margin-based active subspace clustering J Lipor, L Balzano 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 10 | 2015 |
| A supervised learning approach to water quality parameter prediction and fault detection K Joslyn, J Lipor 2018 IEEE International Conference on Big Data (Big Data), 2511-2514, 2018 | 9 | 2018 |
| Quantile search with time-varying search parameter J Lipor, G Dasarathy 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1016-1018, 2018 | 9 | 2018 |
| Predicting geothermal favorability in the Western United States by using machine learning: addressing challenges and developing solutions SP Mordensky, JJ Lipor, J DeAngelo, ER Burns, CR Lindsey Forty Seventh Workshop on Geothermal Reservoir Engineering, 2022 | 7 | 2022 |
| Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures I Slaughter, JL Charla, M Siderius, J Lipor Journal of Ocean Engineering and Science, 2024 | 6 | 2024 |
| DISTANCE-PENALIZED ACTIVE LEARNING VIA MARKOV DECISION PROCESSES D Wang, J Lipor, G Dasarathy Proceedings of 2019 IEEE Data Science Workshop (DSW), 2019 | 6 | 2019 |
| Potential use of UNCD membranes as broadband vacuum windows at W-band frequencies DM Springmann, S Ho, JH Booske, SM Drezdzon, JJ Lipor, ... 2008 IEEE International Vacuum Electronics Conference, 316-317, 2008 | 5 | 2008 |
| On the limits of distinguishing seabed types via ambient acoustic sound J Lipor, J Gebbie, M Siderius The Journal of the Acoustical Society of America 154 (5), 2892-2903, 2023 | 3 | 2023 |
| A Novel Framework for Deep Learning from Pairwise Constraints W Sheng, J Lipor 2020 54th Asilomar Conference on Signals, Systems, and Computers, 594-598, 2020 | 3 | 2020 |
