Jones, HP, Chapman, GA, Harvey, KL, Pap, JM, Preminger, DG and others including Turmon, MJ (2009). “A comparison of feature classification methods for modeling solar irradiance variation,” Solar Image Analysis and Visualization, pp. 113–127, Springer. Document (link to DOI).

Bajracharya, Max, Howard, Andrew, Matthies, Larry, Tang, Benyang, and Turmon, Michael (2009). “Autonomous off-road navigation with end-to-end learning for the LAGR program,” Journal of Field Robotics, 26(1), pp. 3–25, Wiley. Document.

Pap, Judit M, Bertello, L, Chapman, G, Floyd, LE, Jones, H and others including Turmon, M (2009). “Comparison of Independent Feature Recognition Method for Time Series Analysis of Irradiance Variations Based on Statistical Feature Recognition,” AAS/Solar Physics Division Meeting, vol. 41, pp. 9–34. Document.

Norton, Charles D, Eldering, Annmarie, Turmon, Michael, and Parker, Jay (2009). “Extending OSSE beyond numerical weather prediction to new areas in Earth observing science,” 2009 IEEE Aerospace conference, pp. 1–10. Document (link to DOI).

Jones, Harrison P, Turmon, MJ, Malanushenko, OV, and Pap, JM (2009). “Training Sets for Statistical Feature Recognition in Multidimensional Solar Imagery,” AAS/Solar Physics Division Meeting# 40, vol. 40, pp. 15–18. Document.

R. Granat, K. L. Wagstaff, B. Bornstein, B. Tang, and M. Turmon (2009). “Simulating and detecting radiation-induced errors for onboard machine learning,” International Conference on Space Mission Challenges for Information Technology (SMC-IT), pp. 125-131. Document (CL #09-1474).

H. P. Jones, G. A. Chapman, K. L. Harvey, J. M. Pap, D. G. Preminger and others including M. J. Turmon (2008). “A Comparison of Feature Classification Methods for Modeling Solar Irradiance Variation,” Solar Physics, 248(2), pp. 323-337. Document (link to DOI).

M. Sarrel and M. Turmon (2008). “Improved Estimates of Spitzer Space Telescope Data Volumes with Error Bars,” AIAA SPACE 2008, p. 7696. Document (CL 08-0637).

A. Mahabal, S. G. Djorgovski, M. Turmon, J. Jewell, R. Williams and others (2008). “Automated probabilistic classification of transients and variables,” Astronomische Nachrichten: Astronomical Notes, 329(3), pp. 288-291. Document.

Bajracharya, Max, Tang, Benyang, Howard, Andrew, Turmon, Michael, and Matthies, Larry (2008). “Learning long-range terrain classification for autonomous navigation,” 2008 IEEE International Conference on Robotics and Automation, pp. 4018–4024. Document.

Pap, JM, Bertello, L, Chapman, G, Floyd, LE, Harder, J and others including Turmon, M (2008). “Spectral Irradiance Variations and Magnetic Field Changes During Solar Cycle 23,” AGU Fall Meeting Abstracts, pp. SH13A–1504. Document.

Malanushenko, O, Jones, HP, Turmon, M, and Pap, J (2008). “The application of Gaussian Mixture and Histogram-based Bayesian methods to NSO/Kitt Peak VT data,” AGU Fall Meeting Abstracts, pp. SH13A–1519. Document.

Mahabal, A, Djorgovski, SG, Williams, R, Drake, A, Donalek, C and others including Turmon, M (2008). “Towards Real-Time Classification of Astronomical Transients,” AIP Conference Proceedings, vol. 1082, pp. 287–293. Document.

Jacob, Joseph, Turmon, Michael, Stough, Timothy, Siegel, Herbert, Kurt, Cindy, and others (2008). “Visualization component of vehicle health decision support system,” NTR. Document.

T. M. Chin, M. Turmon, J. Jewell, and M. Ghil (2007). “An Ensemble-Based Smoother with Retrospectively Updated Weights for Highly Nonlinear Systems,” Monthly Weather Review, 135(1), pp. 186-202.

Jones, HP, Malanushenko, OV, Pap, JM, and Turmon, MJ (2007). “Application of Statistical Image Segmentation to Recognition of Solar Magnetic Network,” AGU Fall Meeting Abstracts, pp. SH13A–1096. Document.

Malanushenko, Elena, Jones, HP, Pap, JM, and Turmon, MJ (2007). “Statistical Feature Recognition for Multidimensional NSO Imagery,” American Astronomical Society Meeting Abstracts# 210, vol. 210, pp. 24–06. Document.

A. Howard, M. Turmon, L. Matthies, B. Tang, A. Angelova, and E. Mjolsness (2006). “Towards Learned Traversability for Robot Navigation: From Underfoot to the Far Field,” Journal of Field Robotics, 23(11/12), pp. 1005-1017. Document (link to DOI).

Jones, HP, Pap, JM, and Turmon, MJ (2006). “Bayesian Feature Recognition for Multidimensional NSO Imagery,” AGU Fall Meeting Abstracts, pp. SH23B–0372. Document.

Turmon, M, Chin, TM, Jewell, JB, and Ghil, M (2005). “Ensemble Smoothing and Markov Chain Monte Carlo for Data Assimilation in Highly Nonlinear Systems,” AGU Fall Meeting Abstracts, pp. IN41A–0309. Document.

Gy\Hori, L, Baranyi, T, Turmon, M, and Pap, JM (2004). “Study of differences between sunspot area data determined from ground-based and space-borne observations,” Advances in Space Research, 34(2), pp. 269–273, Elsevier. Document.

J. Pap, I. Ermolli, F. Gyorgi, and M. Turmon (2004). “Study of Solar Magnetic Feature Properties and Irradiance Variations,” 35th COSPAR Scientific Assembly, vol. 35. Document.

T. M. Chin, J. B. Jewell, and M. Turmon (2004). “Phase Changes and State Estimation for Non-linear Systems,” AGU Fall Meeting Abstracts, pp. NG31B-0877. Document.

M. Turmon (2004). “Symmetric Normal Mixtures,” Compstat 2004-Proceedings in Computational Statistics, pp. 1909-16, Physica-Verlag. Document (CL 04-1276).

L. Gyori, T. Baranyi, M. Turmon, and J.M. Pap (2004). “Study of differences between sunspot area data determined from ground-based and space-borne observations,” Adv. Space Res., 34, pp. 269-273.

J. M. Pap, M. Turmon, K. E. Shelton, L. E. Floyd, and R. Helizon (2003). “Magnetic Field and Long-Term Solar Irradiance Variations Over Solar Cycles 21 to 23,” American Geophysical Union, San Francisco, CA. Poster.

M. Turmon, R. Granat, D. Katz, and J. Z. Lou (2003). “Tests and tolerances for High-Performance Software-Implemented Fault Detection,” IEEE Trans. Computers, 52(5), pp. 579–591. Document (CL 02-0735).

Turmon, Michael (2002). “Symmetry constraints within the EM algorithm for Gaussian mixtures,” Document.

H.P. Jones, K.L. Harvey, J.M. Pap, D.G. Preminger, M. Turmon, and S.R. Walton (2002). “A comparison of feature classification methods for modeling solar irradiance variation,” 34th COSPAR Scientific Assembly.

J. Pap, H. Jones, M. Turmon, and L. Floyd (2002). “Study of the SOHO/VIRGO Irradiance Variations Using MDI and Kitt Peak Images,” Proc. SOHO-11 Workshop. ESA SP-508.

L. Gyori, T. Baranyi, M. Turmon, and J. Pap (2002). “Comparison of image-processing methods to extract sunspots,” Proc. SOHO-11 Workshop, pp. 203-208, Davos, Switzerland. ESA SP-508.

M. Turmon (2002). “Modeling Spatial Data: Challenges and Applications to Solar Imagery,” IPAM Mathematical Challenges in Scientific Data Mining Workshop, UCLA, Los Angeles. Invited talk.

J. M. Pap, M. Turmon, L. Floyd, C. Frölich, and Ch. Wehrli (2002). “Total solar and spectral irradiance variations in solar cycles 21 to 23,” Adv. Space Res., 29(12), pp. 1923-1932, Elsevier. Document.

M. Turmon, J. Pap, and S. Mukhtar (2002). “Statistical Pattern Recognition for Labeling Solar Active Regions: Application to SoHO/MDI Imagery,” Astrophysical Journal, 568(1), pp. 396-407. Document (CL 01-2847).

M. Turmon (2001). “Spatial methods in science image analysis,” International Conference on Machine Learning (ICML), Williams, MA. Invited talk.

E. Mjolsness, W. Fink, and M. Turmon (2001). “Stochastic Parameterized Grammars for Bayesian Model Composition,” Interface-2001, Costa Mesa, CA.

Turmon, M, Pap, J, Floyd, L, Judge, D, and McMullin, D (2001). “Variations in total solar and spectral irradiance during solar cycle 23,” AGU Fall Meeting Abstracts, vol. 2001, pp. SH11C–0734. Document (CL 01-2618).

Pap, JM, Arge, N, Chapman, G, Floyd, LE, and Turmon, M (2001). “Effect of Magnetic Fields on Solar Irradiance Variations,” AGU Fall Meeting Abstracts, pp. SH11C–0731. Document.

J. Pap and M. Turmon (2001). “Study of solar irradiance with MDI on SoHO,” International Solar Cycle Studies 2001: Solar variability, climate and space weather, Longmont, CO. Presentation.

M. Turmon, J. Pap, and K. Shelton (2001). “Study of total solar and spectral irradiance variations via MDI images and SoHO/VIRGO measurements,” European Geophysical Society XXVI, Nice, France. Presentation.

J. Pap, L. Floyd, M. Turmon, and Ch. Wehrli (2001). “Variability of total and spectral solar irradiance,” European Geophysical Society XXVI, Nice, France. Presentation.

M. Turmon (2001). “Mixture models for labeling scientific imagery,” Mixtures 2001: Recent Developments in Mixture Modeling, Hamburg. Presentation (refereed).

E. Mjolsness and M. Turmon (2000). “Stochastic Parameterized Grammars for Bayesian Model Composition,” Neural Inform. Process. Syst. (NeurIPS). Invited talk, modeling workshop.

Turmon, Michael, Mjolsness, Eric, and Gluzman, Vladimir (2000). “A Language for Probabilistic Modeling of Scientific Data,” Document.

M. Turmon, R. Granat, and D. S. Katz (2000). “Software-Implemented Fault Detection for High-Performance Space Applications,” Proc. Intl. Conf. Dependable Systems and Networks, pp. 107–116. Document (CL 99-2014).

M. Turmon and R. Granat (2000). “Algorithm-Based Fault Tolerance for Spaceborne Computing: Basis and Implementations,” Proc. IEEE Aerospace Conference, pp. 411-420. Document (CL 00-0901).

M. Turmon, E. Mjolsness, V. Gluzman, and L. Ramsey (2000). “Reusable Probabilistic Models for Scientific Data,”

M. Turmon, E. Mjolsness, V. Gluzman, and L. Ramsey (1999). “A Language for Probabilistic Modeling of Scientific Data,” Proc. Second Conf. Highly Structured Stochastic Systems, pp. 298–300, Pavia, Italy.

J. M. Pap, M. Anklin, R. Bogart, L. Floyd, C. Fröhlich and others including M. Turmon (1999). “Analysis of the SoHO/VIRGO Total and Spectral Irradiances Based on the SoHO/MDI Images,”

Katz, DS, Springer, Paul L, Granat, Robert, and Turmon, Michael (1999). “Applications development for a parallel COTS spaceborne computer,” Proc. 3rd Annual Workshop on High-Performance Embedded Computing, MIT Lincoln Laboratory. Document.

M. Turmon and S. Mukhtar (1998). “Representing Solar Active Regions with Triangulations,” COMPSTAT: Proc. Computational Statistics 13th Symposium, pp. 473-478, Bristol, UK. Document (CL 98-0761).

M. Turmon (1998). “Machine Learning and Statistics: The Interface,” Jour. American Statistical Association, 93(442), pp. 833-835.

J. M. Pap and M. Turmon (1998). “Links between solar irradiance and automatically identified active regions,” AGU Fall Meeting Abstracts.

M. Turmon, J. M. Pap, and S. Mukhtar (1998). “Automatically finding solar active regions using SoHO/MDI photograms and magnetograms,” Proc. SoHO 6/GONG '98 Workshop on Structure and Dynamics of the Sun, vol. 418, pp. 979-984. Document.

M. Turmon (1997). “Identification of Solar Features via Markov Random Fields,” Proc. Second Conf. International Assoc. for Statistical Computing (IASC-2), pp. 194–200. Document.

M. Turmon and J. Pap (1997). “Segmenting Chromospheric Images with Markov Random Fields,” Statistical Challenges in Modern Astronomy II, ed. G. Babu and E. Feigelson, pp. 408–411, Springer. Document.

M. Turmon, S. Mukhtar, and J. Pap (1997). “Bayesian Inference for Identifying Solar Active Regions,” Proc. Third Conf. on Knowledge Discovery and Data Mining, ed. D. Heckerman, H. Mannila, D. Pregibon, and R. Uthurusamy, pp. 267-270, MIT Press. Document (CL 97-0755).

M. Turmon and S. Mukhtar (1997). “Recognizing Chromospheric Objects via Markov Chain Monte Carlo,” Proc. IEEE Intl. Conf. Image Processing, vol. 3, pp. 320–323. Document (CL 97-1147).

Pap, JM, Turmon, M, Mukhtar, S, Bogart, R, Ulrich, R and others (1997). “Automated recognition and characterization of solar active regions based on the SOHO/MDI images,” Correlated Phenomena at the Sun, in the Heliosphere and in Geospace, vol. 415, p. 477. Document.

J. Pap, M. Turmon, S. Mukhtar, R. Bogart, R. Ulrich and others (1997). “Automated Recognition and Characterization of Solar Active Regions based on the SOHO/MDI Images,” Proc. 31st ESLAB Symposium, pp. 477-482, Nordwijk, Netherlands.

Turmon, MJ (1996). “Empirically determining pointspread functions,” Citeseer. Document.

M. Turmon (1995). Assessing Generalization of Feedforward Neural Networks, PhD thesis, Cornell. Document.

M. Turmon and T. L. Fine (1995). “Empirically Estimating Generalization Ability of Feedforward Neural Networks,” World Conference on Neural Networks, pp. 600-605. Invited paper. Document.

M. Turmon and T. L. Fine (1995). “Assessing Generalization of Feedforward Neural Networks,” IEEE International Symposium on Information Theory (ISIT), p. 168. Document (link to DOI).

M. Turmon and T. L. Fine (1994). “Sample Size Requirements for Feedforward Neural Networks,” Neural Information Processing Systems (NeurIPS), vol. 7, ed. G. , pp. 327-334, Morgan-Kauffman. Document.

M. J. Turmon and M. I. Miller (1994). “Maximum-Likelihood estimation of constrained means and Toeplitz covariances with application to direction-finding,” IEEE Trans. on Signal Processing, 42(5), pp. 1074–1086. Document.

Turmon, Michael J (1994). “Cramér-Rao Bounds for Toeplitz Covariance Estimation,” Document.

T. L. Fine and M. Turmon (1993). “Sample Size Requirements of Feedforward Neural Network Pattern Classifiers,” IEEE International Symposium on Information Theory (ISIT), p. 432. Document (link to DOI).

M. J. Turmon (1990). “Maximum-likelihood estimation of constrained means and Toeplitz covariances with application to direction-finding,” M.S. thesis, Washington University, St. Louis.

D. R. Fuhrmann, M. J. Turmon, and M. I. Miller (1988). “Efficient Implementation of the EM Algorithm for Toeplitz Covariance Estimation,” Proc. Twenty-second Annual Conference on Information Sciences and Systems.

M. I. Miller, M. J. Turmon, J. A. O'Sullivan, and D. L. Snyder (1988). “Spectrum Estimation via Maximum Likelihood Estimation of Toeplitz Constrained Covariances,” Proc. Fourth ASSP Workshop on Spectrum Estimation and Modeling, pp. 182-185. Document (link to DOI).

M. J. Turmon and M. I. Miller (1987). “Performance Evaluation of Maximum-Likelihood Estimation of Toeplitz Covariances Generated with the Expectation Maximization Algorithm,” Proc. Twenty-first Annual Conference on Information Sciences and Systems.

M. I. Miller, D. L. Snyder, and M. J. Turmon (1986). “Iterative maximum-likelihood estimation of Toeplitz-constrained covariances,” Proc. Twenty-fourth Annual Allerton Conference on Communication, Control and Computing, pp. 111-112.