Tabular data: Deep learning is not all you need R Shwartz-Ziv, A Armon Information Fusion 81, 84-90, 2022 | 1333 | 2022 |
System and method for monitoring resources in a water utility network A Peleg, A Armon, U Barkay, H Scolnicov, S Gutner US Patent 7,920,983, 2011 | 107 | 2011 |
System and method for analyzing GIS data to improve operation and monitoring of water distribution networks H Scolnicov, A Armon, C Linhart, L Bien US Patent 9,053,519, 2015 | 85 | 2015 |
System and method for monitoring resources in a water utility network A Peleg, A Armon, U Barkay, H Scolnicov, S Gutner US Patent 9,568,392, 2017 | 73 | 2017 |
System and method for identifying related events in a resource network monitoring system H Scolnicov, A Armon, C Linhart, L Bien, N Petrank US Patent 8,341,106, 2012 | 47 | 2012 |
On min–max r-gatherings A Armon Theoretical Computer Science 412 (7), 573-582, 2011 | 43 | 2011 |
Multicriteria global minimum cuts A Armon, U Zwick Algorithmica 46 (1), 15-26, 2006 | 42 | 2006 |
Optimizing machine learning running time L Faivishevsky, A Armon US Patent App. 15/270,057, 2018 | 24 | 2018 |
Algorithmic network monitoring for a modern water utility: a case study in Jerusalem A Armon, S Gutner, A Rosenberg, H Scolnicov Water science and technology 63 (2), 233-239, 2011 | 24 | 2011 |
Low rank matrix compression T Bar-On, J Subag, Y Fais, J Dreyfuss, G Novik, G Leibovich, T Schwartz, ... US Patent 11,037,330, 2021 | 22 | 2021 |
System and method for identifying likely geographical locations of anomalies in a water utility network A Armon, H Scolnicov, C Linhart, R Ziv US Patent 8,583,386, 2013 | 22 | 2013 |
System and method for identifying related events in a resource network monitoring system H Scolnicov, A Armon, C Linhart, L Bien, N Petrank US Patent App. 13/686,787, 2013 | 18 | 2013 |
Sub-graph in frequency domain and dynamic selection of convolution implementation on a GPU U Sarel, E Cohen, T Schwartz, A Armon, Y Shadmiy, I Ben-Ari, ... US Patent 10,467,795, 2019 | 17 | 2019 |
Method for locating a leak in a fluid network H Scolnicov, A Armon, C Linhart, L Bien US Patent 10,242,414, 2019 | 16 | 2019 |
Method for locating a leak in a fluid network H Scolnicov, A Armon, C Linhart, L Bien US Patent 10,242,414, 2019 | 16 | 2019 |
Smart memory handling and data management for machine learning networks T Schwartz, E Cohen, U Sarel, A Armon, Y Fais, L Faivishevsky, ... US Patent 11,087,206, 2021 | 14 | 2021 |
Multisensory change detection for internet of things domain L Faivishevsky, A Armon US Patent 10,356,649, 2019 | 14 | 2019 |
Technologies for optimized machine learning training L Faivishevsky, A Armon US Patent 10,963,783, 2021 | 13 | 2021 |
Graphics processing unit generative adversarial network T Schwartz, E Cohen, U Sarel, A Armon, Y Fais, L Faivishevsky, ... US Patent App. 15/499,898, 2018 | 12 | 2018 |
System and method for identifying likely geographical locations of anomalies in a water utility network A Armon, H Scolnicov, C Linhart, R Ziv US Patent 9,441,988, 2016 | 8 | 2016 |