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Mark A. Kramer
Mark A. Kramer
Distinguished Chief Engineer, Health Innovation Center, MITRE Corporation
Verified email at mitre.org
Title
Cited by
Cited by
Year
Nonlinear principal component analysis using autoassociative neural networks
MA Kramer
AIChE journal 37 (2), 233-243, 1991
38391991
Modeling chemical processes using prior knowledge and neural networks
ML Thompson, MA Kramer
AIChE Journal 40 (8), 1328-1340, 1994
7751994
Sensitivity analysis in chemical kinetics
H Rabitz, M Kramer, D Dacol
Annual review of physical chemistry 34 (1), 419-461, 1983
6921983
Autoassociative neural networks
MA Kramer
Computers & chemical engineering 16 (4), 313-328, 1992
5891992
Radial basis function networks for classifying process faults
JA Leonard, MA Kramer
IEEE Control Systems Magazine 11 (3), 31-38, 1991
4741991
Improvement of the backpropagation algorithm for training neural networks
J Leonard, MA Kramer
Computers & Chemical Engineering 14 (3), 337-341, 1990
4121990
A rule‐based approach to fault diagnosis using the signed directed graph
MA Kramer, BL Palowitch Jr
AIChE journal 33 (7), 1067-1078, 1987
4111987
Using radial basis functions to approximate a function and its error bounds
JA Leonard, MA Kramer, LH Ungar
IEEE transactions on neural networks 3 (4), 624-627, 1992
3511992
Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
J Walonoski, M Kramer, J Nichols, A Quina, C Moesel, D Hall, C Duffett, ...
Journal of the American Medical Informatics Association 25 (3), 230–238, 2018
3342018
Diagnosis using backpropagation neural networks—analysis and criticism
MA Kramer, JA Leonard
Computers & chemical engineering 14 (12), 1323-1338, 1990
2121990
Malfunction diagnosis using quantitative models with non‐boolean reasoning in expert systems
MA Kramer
AIChE Journal 33 (1), 130-140, 1987
1971987
A neural network architecture that computes its own reliability
JA Leonard, MA Kramer, LH Ungar
Computers & chemical engineering 16 (9), 819-835, 1992
1891992
A general framework for preventive maintenance optimization in chemical process operations
JS Tan, MA Kramer
Computers & Chemical Engineering 21 (12), 1451-1469, 1997
1881997
The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations
JR Leis, MA Kramer
ACM Transactions on Mathematical Software (TOMS) 14 (1), 45-60, 1988
1811988
Qualitative simulation of chemical process systems: Steady‐state analysis
OO Oyeleye, MA Kramer
AIChE Journal 34 (9), 1441-1454, 1988
1611988
Algorithm 658: ODESSA–an ordinary differential equation solver with explicit simultaneous sensitivity analysis
JR Leis, MA Kramer
ACM Transactions on Mathematical Software (TOMS) 14 (1), 61-67, 1988
1431988
Maximum likelihood data rectification: Steady‐state systems
LPM Johnston, MA Kramer
AIChE Journal 41 (11), 2415-2426, 1995
1151995
Narrowing diagnostic focus using functional decomposition
FE Finch, MA Kramer
AIChE Journal 34 (1), 25-36, 1988
991988
An improved computational method for sensitivity analysis: Green's function method with ‘AIM’
MA Kramer, JM Calo, H Rabitz
Applied Mathematical Modelling 5 (6), 432-441, 1981
961981
Diagnosing dynamic faults using modular neural nets
JA Leonard, MA Kramer
IEEE Expert 8 (2), 44-53, 1993
951993
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