Michael J. Turmon

According to our database, Michael J. Turmon authored at least 18 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression.

Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran, Zhen Liu, John T. Reager, Andrew M. Stuart, Michael J. Turmon

CoRR, 2023

2022

Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley.

Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu

CoRR, 2022

2016

Real-time data mining of massive data streams from synoptic sky surveys.

S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs

Future Gener. Comput. Syst., 2016

2014

Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys.

S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs

Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013

Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets.

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

CoRR, 2013

Feature selection strategies for classifying high dimensional astronomical data sets.

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

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Flashes in a star stream: Automated classification of astronomical transient events.

S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Baback Moghaddam, Mike Turmon

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011

Towards an Automated Classification of Transient Events in Synoptic Sky Surveys.

S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew J. Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2009

Autonomous off-road navigation with end-to-end learning for the LAGR program.

Max Bajracharya, Andrew Howard, Larry H. Matthies, Benyang Tang, Michael J. Turmon

J. Field Robotics, 2009

2008

Learning long-range terrain classification for autonomous navigation.

Max Bajracharya, Benyang Tang, Andrew Howard, Michael J. Turmon, Larry H. Matthies

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Towards learned traversability for robot navigation: From underfoot to the far field.

Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness

J. Field Robotics, 2006

2003

Tests and Tolerances for High-Performance Software-Implemented Fault Detection.

Michael J. Turmon, Robert Granat, Daniel S. Katz, John Z. Lou

IEEE Trans. Computers, 2003

2000

Software-Implemented Fault Detection for High-Performance Space Applications.

Michael J. Turmon, Robert Granat, Daniel S. Katz

Proceedings of the 2000 International Conference on Dependable Systems and Networks (DSN 2000) (formerly FTCS-30 and DCCA-8), 2000

1998

Representing Solar Active Regions with Triangulations.

Michael J. Turmon, Saleem Mukhtar

Proceedings of the COMPSTAT 1998, 1998

1997

Bayesian Inference for Identifying Solar Active Regions.

Michael J. Turmon, Saleem Mukhtar, Judit Pap

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Recognizing chromospheric objects via Markov chain Monte Carlo.

Michael J. Turmon, Saleem Mukhtar

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1994

Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances.

Michael J. Turmon, Michael I. Miller

IEEE Trans. Signal Process., 1994

Sample Size Requirements for Feedforward Neural Networks.

Michael J. Turmon, Terrence Fine

Proceedings of the Advances in Neural Information Processing Systems 7, 1994