| 2007 |
|---|
| 10 | EE | Thaddeus T. Shannon,
James McNames:
ICA Based Disturbance Specific Control Charts.
IRI 2007: 251-256 |
| 2003 |
|---|
| 9 | EE | Roberto A. Santiago,
James McNames,
Kim Burchiel,
George G. Lendaris:
Developments in understanding neuronal spike trains and functional specializations in brain regions.
Neural Networks 16(5-6): 601-607 (2003) |
| 2002 |
|---|
| 8 | EE | W. Robert Daasch,
Kevin Cota,
James McNames,
Robert Madge:
Neighbor Selection for Variance Reduction in IDDQ and Other Parametric Data.
ITC 2002: 1240 |
| 7 | EE | David Turner,
David Abercrombie,
James McNames,
W. Robert Daasch,
Robert Madge:
Isolating and Removing Sources of Variation in Test Data.
ITC 2002: 464-471 |
| 6 | EE | W. Robert Daasch,
James McNames,
Robert Madge,
Kevin Cota:
Neighborhood Selection for IDDQ Outlier Screening at Wafer Sort.
IEEE Design & Test of Computers 19(5): 74-81 (2002) |
| 5 | EE | James McNames:
Local averaging optimization for chaotic time series prediction.
Neurocomputing 48(1-4): 279-297 (2002) |
| 2001 |
|---|
| 4 | | W. Robert Daasch,
Kevin Cota,
James McNames,
Robert Madge:
Neighbor selection for variance reduction in I_DDQ and other parametric data.
ITC 2001: 92-100 |
| 3 | EE | James McNames:
A Fast Nearest-Neighbor Algorithm Based on a Principal Axis Search Tree.
IEEE Trans. Pattern Anal. Mach. Intell. 23(9): 964-976 (2001) |
| 2000 |
|---|
| 2 | EE | James McNames:
Local model optimization for time series prediction.
ESANN 2000: 305-310 |
| 1 | | W. Robert Daasch,
James McNames,
Daniel Bockelman,
Kevin Cota:
Variance reduction using wafer patterns in I_ddQ data.
ITC 2000: 189-198 |
