| 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 | 343 | 2011 |
| Properties of machine learning applications for use in metamorphic testing C Murphy, GE Kaiser, L Hu | 230 | 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 | 182 | 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 | 165 | 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 | 106 | 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 | 104 | 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 | 59 | 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 | 59 | 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 | 58 | 2019 |
| Forecasting energy demand in large commercial buildings using support vector machine regression DM Solomon, RL Winter, AG Boulanger, RN Anderson, LL Wu Department of Computer Science, Columbia University, Tech. Rep. CUCS-040-11, 2011 | 41 | 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 | 30 | 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 | 28 | 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 |
| 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 | 22 | 2016 |
| Evaluating machine learning for improving power grid reliability LL Wu, GE Kaiser, C Rudin, DL Waltz, RN Anderson, AG Boulanger, ... | 22 | 2011 |
| 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 |
| 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 | 18 | 2016 |
| 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 |
| Constructing subtle concurrency bugs using synchronization-centric second-order mutation operators LL Wu, GE Kaiser | 16 | 2011 |
