Chemometric Software supporting NSF Project Variable Selection for Remedying the Effects of Uncontrolled Variation in Data Driven Predictions
Date
2019-09-15
Journal Title
Journal ISSN
Volume Title
Publisher
Steven D. Brown
Abstract
Description
Software is provided as a deliverable product for NSF project Variable Selection for Remedying the Effects of Uncontrolled Variation in Data Driven Predictions (NSF Grant Number 1506853). There are 8 separate software packages, each provided in its own folder. Each folder includes a README file and example data to permit testing. The packages implement work published in the following papers:
D. Poerio and S.D. Brown, “Stacked Interval Sparse Partial Least Squares Regression Analysis,” Chemom. Intell. Lab Syst. 166, 2017, 49-60. (DOI: 10.1016/j.chemolab.2017.03.006)
D. Poerio and S.D. Brown, “Dual-Domain Calibration Transfer by Orthogonal Projection” , Appl. Spectrosc., 2018. (DOI: 10.1177/0003702817724164).Erratum to Dual-domain calibration transfer using orthogonal projection. Appl. Spectrosc. 2018, (DOI: 10.1177/0003702818768732)
D. Poerio and S.D. Brown, A Frequency-Localized Recursive Partial Least Squares Ensemble for Soft Sensing, J. Chemom. e2999, 2018. (DOI: 10.1002/cem.2999)
D. Poerio and S.D. Brown, “Highly-Overlapped, Recursive Partial Least Squares Soft Sensor with State Partitioning via Local Variable Selection”,Chemom. Intell. Lab Syst. 175 (2018) 104–115. (DOI: 10.1016/j.chemolab.2018.02.006)
C. Kneale and S.D. Brown, “Small Moving-Window Calibration Models for Soft Sensing Processes with Limited History.” Chemom. Intell. Lab. Syst.183, 2018, 36-46. (DOI: 10.1016/j.chemolab.2018.10.007)
C. Kneale and S.D. Brown, Band Target Entropy Minimization and Target Partial Least Squares for Spectral Recovery and Calibration, Analyt. Chim. Acta, 1031 (2018) 38-46. (DOI:10.1016/j.aca.2018.07.054)
D. Poerio and S.D. Brown, Localized and Adaptive Soft Sensor Based on an Extreme Learning Machine with Automated Self-correction Strategies, J. Chemom., 2018;e3088. (DOI: 10.1002/cem.3088)
C. Kneale and S.D. Brown, Exploratory Data Analysis using an Uncharted Forest, Talanta 189 (2018) 71–78. (DOI: 10.1016/j.talanta.2018.06.061)
D. Poerio and S.D. Brown, “Stacked Interval Sparse Partial Least Squares Regression Analysis,” Chemom. Intell. Lab Syst. 166, 2017, 49-60. (DOI: 10.1016/j.chemolab.2017.03.006)
D. Poerio and S.D. Brown, “Dual-Domain Calibration Transfer by Orthogonal Projection” , Appl. Spectrosc., 2018. (DOI: 10.1177/0003702817724164).Erratum to Dual-domain calibration transfer using orthogonal projection. Appl. Spectrosc. 2018, (DOI: 10.1177/0003702818768732)
D. Poerio and S.D. Brown, A Frequency-Localized Recursive Partial Least Squares Ensemble for Soft Sensing, J. Chemom. e2999, 2018. (DOI: 10.1002/cem.2999)
D. Poerio and S.D. Brown, “Highly-Overlapped, Recursive Partial Least Squares Soft Sensor with State Partitioning via Local Variable Selection”,Chemom. Intell. Lab Syst. 175 (2018) 104–115. (DOI: 10.1016/j.chemolab.2018.02.006)
C. Kneale and S.D. Brown, “Small Moving-Window Calibration Models for Soft Sensing Processes with Limited History.” Chemom. Intell. Lab. Syst.183, 2018, 36-46. (DOI: 10.1016/j.chemolab.2018.10.007)
C. Kneale and S.D. Brown, Band Target Entropy Minimization and Target Partial Least Squares for Spectral Recovery and Calibration, Analyt. Chim. Acta, 1031 (2018) 38-46. (DOI:10.1016/j.aca.2018.07.054)
D. Poerio and S.D. Brown, Localized and Adaptive Soft Sensor Based on an Extreme Learning Machine with Automated Self-correction Strategies, J. Chemom., 2018;e3088. (DOI: 10.1002/cem.3088)
C. Kneale and S.D. Brown, Exploratory Data Analysis using an Uncharted Forest, Talanta 189 (2018) 71–78. (DOI: 10.1016/j.talanta.2018.06.061)
Keywords
Chemometrics software