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
65 2012 Robust blind calibration via total least squares J Lipor, L Balzano
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
48 2014 Subspace Clustering using Ensembles of J Lipor, D Hong, YS Tan, L Balzano
arXiv preprint arXiv:1709.04744, 2017
32 * 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
29 2011 Clustering quality metrics for subspace clustering J Lipor, L Balzano
Pattern Recognition 104, 107328, 2020
26 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 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
17 2017 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
15 2023 Optimized wavelength selection for molecular absorption thermometry X An, AW Caswell, JJ Lipor, ST Sanders
Applied Spectroscopy 69 (4), 464-472, 2015
14 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
10 2018 Margin-based active subspace clustering J Lipor, L Balzano
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
10 2015 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
8 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
7 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
4 2023 Quantile search: A distance-penalized active learning algorithm for spatial sampling J Lipor, L Balzano, B Kerkez, D Scavia
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
4 2015