Sample Size Requirements for Feedforward Neural Networks. - Michael J. Turmon; Terrence Fine (NIPS, 1994)

Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances. - Michael J. Turmon; Michael I. Miller (IEEE Trans. Signal Process., 1994)

Recognizing chromospheric objects via Markov chain Monte Carlo. - Michael J. Turmon; Saleem Mukhtar (ICIP (3), 1997)

Bayesian Inference for Identifying Solar Active Regions. - Michael J. Turmon; Saleem Mukhtar; Judit Pap (KDD, 1997)

Representing Solar Active Regions with Triangulations. - Michael J. Turmon; Saleem Mukhtar (COMPSTAT, 1998)

Software-Implemented Fault Detection for High-Performance Space Applications. - Michael J. Turmon; Robert Granat; Daniel S. Katz (DSN, 2000)

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)

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)

Learning long-range terrain classification for autonomous navigation. - Max Bajracharya; Benyang Tang; Andrew Howard; Michael J. Turmon; Larry H. Matthies (ICRA, 2008)

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)

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 (CIDU, 2011)

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 (eScience, 2012)

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 (IEEE BigData, 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)

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 (eScience, 2014)

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)

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)

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)