| Machine learning for the New York City power grid C Rudin, D Waltz, RN Anderson, A Boulanger, A Salleb-Aouissi, M Chow, ... IEEE transactions on pattern analysis and machine intelligence 34 (2), 328-345, 2011 | 337 | 2011 |
| Properties of machine learning applications for use in metamorphic testing C Murphy, GE Kaiser, L Hu | 223 | 2008 |
| Forecasting system using machine learning and ensemble methods RN Anderson, A Boulanger, LL Wu, V Bhandari, S Sarkar, A Gagneja US Patent App. 14/707,809, 2015 | 176 | 2015 |
| Semantic frames to predict stock price movement B Xie, R Passonneau, L Wu, GG Creamer Proceedings of the 51st annual meeting of the association for computational …, 2013 | 168 | 2013 |
| Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014 | 100 | 2014 |
| Total property optimization system for energy efficiency and smart buildings RN Anderson, A Boulanger, V Bhandari, E Boniberger, A Gagneja, ... US Patent App. 14/341,718, 2015 | 95 | 2015 |
| Adaptive Stochastic Controller for Energy Efficiency and Smart Buildings LL Wu, A Boulanger, RN Anderson, EM Boniberger, AA Kressner, ... US Patent App. 14/203,151, 2014 | 57 | 2014 |
| Improving efficiency and reliability of building systems using machine learning and automated online evaluation L Wu, G Kaiser, D Solomon, R Winter, A Boulanger, R Anderson 2012 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2012 | 57 | 2012 |
| Petroleum analytics learning machine system with machine learning analytics applications for upstream and midstream oil and gas industry RN Anderson, B Xie, LL Wu, A Kressner US Patent 10,430,725, 2019 | 53 | 2019 |
| Forecasting energy demand in large commercial buildings using support vector machine regression DM Solomon, RL Winter, AG Boulanger, RN Anderson, LL Wu | 40 | 2011 |
| FARE: A framework for benchmarking reliability of cyber-physical systems L Wu, G Kaiser 2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT …, 2013 | 33 | 2013 |
| BugMiner: Software reliability analysis via data mining of bug reports LL Wu, B Xie, GE Kaiser, R Passonneau | 29 | 2011 |
| Data quality assurance and performance measurement of data mining for preventive maintenance of power grid L Wu, G Kaiser, C Rudin, R Anderson Proceedings of the First International Workshop on Data Mining for Service …, 2011 | 26 | 2011 |
| A robust solution to the load curtailment problem HP Simão, HB Jeong, B Defourny, WB Powell, A Boulanger, A Gagneja, ... IEEE Transactions on Smart Grid 4 (4), 2209-2219, 2013 | 24 | 2013 |
| Evaluating machine learning for improving power grid reliability LL Wu, GE Kaiser, C Rudin, DL Waltz, RN Anderson, AG Boulanger, ... | 22 | 2011 |
| Petroleum analytics learning machine to forecast production in the wet gas marcellus shale RN Anderson*, B Xie, L Wu, AA Kressner, JH Frantz Jr, MA Ockree, ... Unconventional Resources Technology Conference, San Antonio, Texas, 1-3 …, 2016 | 21 | 2016 |
| An autonomic reliability improvement system for cyber-physical systems L Wu, G Kaiser 2012 IEEE 14th International Symposium on High-Assurance Systems Engineering …, 2012 | 19 | 2012 |
| Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning J Shah, M Nielsen, A Reid, C Shane, K Mathews, D Doerge, R Piel, ... 2014 IEEE International Systems Conference Proceedings, 65-71, 2014 | 18 | 2014 |
| Using machine learning to identify the highest wet gas producing mix of hydraulic fracture classes and technology improvements in the marcellus shale RN Anderson, B Xie, L Wu, AA Kressner, JH Frantz Jr, MA Ockree, ... SPE/AAPG/SEG Unconventional Resources Technology Conference, URTEC-2430481-MS, 2016 | 17 | 2016 |
| Constructing subtle concurrency bugs using synchronization-centric second-order mutation operators LL Wu, GE Kaiser | 17 | 2011 |
