Michael J. Turmon

17 papers A* 2A 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression. CoRR Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran, Zhen Liu, John T. Reager, Andrew M. Stuart, Michael J. Turmon
2022	J	`jnl`	Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. CoRR Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu
2016	J	`jnl`	Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys. CoRR S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
2016	J	`jnl`	Real-time data mining of massive data streams from synoptic sky surveys. Future Gener. Comput. Syst. S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
2014	—	`conf`	Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys. eScience S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
2013	J	`jnl`	Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets. CoRR Ciro Donalek, Arun Kumar A., S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Thomas J. Fuchs, Michael J. Turmon, N. Sajeeth Philip, Michael Ting-Chang Yang, Giuseppe Longo
2013	—	`conf`	Feature selection strategies for classifying high dimensional astronomical data sets. IEEE BigData Ciro Donalek, S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake, Arun Kumar A., N. Sajeeth Philip, Thomas J. Fuchs, Michael J. Turmon, Michael Ting-Chang Yang, Giuseppe Longo
2009	J	`jnl`	Autonomous off-road navigation with end-to-end learning for the LAGR program. J. Field Robotics Max Bajracharya, Andrew Howard, Larry H. Matthies, Benyang Tang, Michael J. Turmon
2008	A*	`conf`	Learning long-range terrain classification for autonomous navigation. ICRA Max Bajracharya, Benyang Tang, Andrew Howard, Michael J. Turmon, Larry H. Matthies
2006	J	`jnl`	Towards learned traversability for robot navigation: From underfoot to the far field. J. Field Robotics Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness
2003	J	`jnl`	Tests and Tolerances for High-Performance Software-Implemented Fault Detection. IEEE Trans. Computers Michael J. Turmon, Robert Granat, Daniel S. Katz, John Z. Lou
2000	A	`conf`	Software-Implemented Fault Detection for High-Performance Space Applications. DSN Michael J. Turmon, Robert Granat, Daniel S. Katz
1998	—	`conf`	Representing Solar Active Regions with Triangulations. COMPSTAT Michael J. Turmon, Saleem Mukhtar
1997	A*	`conf`	Bayesian Inference for Identifying Solar Active Regions. KDD Michael J. Turmon, Saleem Mukhtar, Judit Pap
1997	—	`conf`	Recognizing chromospheric objects via Markov chain Monte Carlo. ICIP (3) Michael J. Turmon, Saleem Mukhtar
1994	J	`jnl`	Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances. IEEE Trans. Signal Process. Michael J. Turmon, Michael I. Miller
1994	—	`conf`	Sample Size Requirements for Feedforward Neural Networks. NIPS Michael J. Turmon, Terrence Fine