VITAE
John Herschell Kalivas
Address: Department of Chemistry
Idaho State University
Pocatello, Idaho 83209
Phone Number: 208-282-2726
Fax Number: 208-282-4373
E-Mail: [email protected]
Academic Degrees:
1978 B.S., Chemistry, California Polytechnic State University, San Luis Obispo, California,
(graduation with Highest Honors).
1982 Ph.D., Chemistry, University of Washington, Seattle, Washington.
Positions Held: Professor-Idaho State University, 8/94 to present.
Associate Professor-Idaho State University, 8/90 to 7/94.
Assistant Professor-Idaho State University, 1/85 to 7/90.
Lecturer-Texas A&M University, 8/84 to 12/84.
Instructor-Univ. of Minnesota, Morris, 9/83 to 7/84.
Research Associate-University of Washington, 12/82 to 2/83.
Teaching Experience:
University of Washington: Quantitative Labs, General Chemistry Labs, Introduction to Chemistry.
University of Minnesota, Morris: General Chemistry, Instrumental Analysis, Computers in Society.
Texas A&M University: Analytical Chemistry.
Idaho State University: General Chemistry, Advanced Analytical Chemistry, Quantitative Analysis,
Qualitative Analysis, Instrumental Analysis, Chemometrics, Seminar, Independent Problems, Senior
Research, and Master’s Research.
Awards: Fall 1975 to Spring 1978: Dean’s Honor List, Cal Poly, San Luis Obispo.
Fall 1982: Annual Fund Dissertation Fellowship, Univ. of Washington ($1,800)
Summer 1986: Faculty Participant Appointment, Associated Western Universities, Salt
Lake City, Utah ($4,400)
May 1989: Outstanding Researcher, Idaho State University
May 1992: Outstanding Researcher, Idaho State University
May 1992: Named by Jon Sutter as being the Most Influential Professor in his college
career as part of his Outstanding Academic Student Achievement in the College of Arts
& Science Award
Fall 1992: Sabbatical leave
May 1993: Outstanding Researcher, Idaho State University
May 1994: Distinguished Researcher, Idaho State University ($2,000)
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November 1994: Camille and Henry Dreyfus Scholar, Camille and Henry Dreyfus
Foundation, Inc., New York, New York ($60,000)
May 1996: Named by Greg Bakken as being the Most Influential Professor in his college
career as part of his Outstanding Academic Student Achievement in the College of Arts
& Science Award
May 1998: Named by Jason Brenchley as being the Most Influential Professor in his
college career as part of his Outstanding Academic Student Achievement in the College
of Arts & Science Award
May 2000: Named by Steven Fairchild as being the Most Influential Professor in his
college career as part of his Outstanding Academic Student Achievement in the College
of Arts & Science Award
Spring 2000: Sabbatical leave
May 2002: Named by Kelly Anderson as being the Most Influential Professor in his
college career as part of his Outstanding Academic Student Achievement in the College
of Arts & Science Award
May 2005: Named by Heather Seipel as being the Most Influential Professor in her
college career as part of her Outstanding Academic Student Achievement in the College
of Arts & Science Award
Fall 2007/Spring 2008: Sabbatical leave
May 2012: Named by Jeremy Farrell as being the Most Influential Professor in his
college career as part of her Outstanding Academic Student Achievement in the College
of Science and Engineering Award
Professional Activities:
Society Membership
American Chemical Society, 1985–present (Councilor, Idaho Section, 1987-1990)
Society for Applied Spectroscopy, 1980-present (Chair, Intermountain Section, 1989;
Treasure/Secretary, Intermountain Section, 1990; Treasure/Secretary, Snake River Section,
1991-1995)
Sigma Xi, 1985-present (Vice-President ISU Section 1987, President ISU Section 1988)
Idaho Academyof Science, 1985-present
Council on Undergraduate Research, 1992-present
North American Chapter of the International Chemometrics Society, 1991-present
Journal, Editorial/Reviewing
Applied Spectroscopy, (Associate Editor), 2010-present
Applied Spectroscopy, (Editorial Board), 1998-2009
Journal of Chemometrics, (Editor), 2013-present
Journal of Chemometrics, (Editorial Board), 1990-2012
Analytic Letters, (Editorial Board), 1993-present
Talanta (Editorial Board), 2007-present
Analytical Chemistry
Analytica Chimica Acta
Chemometrics and Intelligent Laboratory Systems
Journal of Chemical Education
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Research Grants:
1. “Error Propagation and Optimal Performance in Multicomponent Analysis”, Faculty Research
Grant, Idaho State University, $2,026 duration 4/85 to 12/85.
2. “Optimization of Derivative Order for Chemical Spectral Analysis Using the Condition Number”,
Faculty Research Grant, Idaho State University, $2,460, duration 4/86 to 4/87.
3. “Multicomponent Spectrophotometric Identification”, Petroleum Research Fund, American
Chemical Society, $18,000, duration 1/87 to 8/89.
4. “Computer Selection of Optimal Wavelengths for Quantitative Analysis of Multicomponent
Systems”, Faculty Research Grant, Idaho State University, $1,949, duration 1/88 to 1/89.
5. “Computer-Aided Designs of Experiments for UV-Vis Spectrophotometry”, Research Corporation,
$10,000 duration 6/89 to 6/90.
6. “Global Optimized Multicomponent Analysis with UV-Vis Spectrophotometry”, Idaho State Board
of Education, $22,208, duration 9/89 to 9/90.
7. “Spectral Identification of Multicomponent Mixtures”, Faculty Research Grant, Idaho State
University, $2,497, duration 1/91 to 12/91.
8. “Evaluation of Criteria for Optimal Multicomponent Calibration Designs”, National Science
Foundation Idaho EPSCoR Research Experience for Undergraduate Program, $3,000, duration 5/91
to 4/92.
9. “Infrared Identification of Multicomponent Mixtures with Partial Gas Chromatographic Separation”,
National Science Foundation Idaho EPSCoR Regional Scholars Program, $13,393, duration 5/91 to
4/92.
10. “Identification and Characterization of Environmental Pollutants” with P. Griffiths, R. Fletcher, R.
Kirchmeier, C. Wai, R. von Wandruszka at the University of Idaho, M. Schimpf at Boise State
University, and J. Welhan at Idaho State University, National Science Foundation EPSCoR,
$1,050,000 duration 9/93 to 8/96.
11. “The Replacement of the Chemistry Building at Idaho State University” with D. Strommen, R.
Rodriguez, B. Ronald, and F. Wells, National Science Foundation, $658,063, duration 3/94 to
8/97.
12. “Investigation of the Effects of Wavelength and Factor Selection for Principal Component
Regression Using Nonlinear Spectroscopic Data”, Camille and Henry Dreyfus Scholar/Fellow
Program for Undergraduate Institutions, Camille and Henry Dreyfus Foundation, Inc., $60,000,
duration 8/95 to 7/97.
13. “An Improved Agriculture and Food Analysis Procedure”, with P. Lang, Idaho State Board of
Education, $34,141, duration 7/96 to 6/97.
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14. “Identification and Characterization of Environmental Pollutants” with R. Kirchmeier, C. Wai, R.
von Wandruszka, P. Shapiro at the University of Idaho, and M. Schimpf at Boise State University,
National Science Foundation EPSCoR, $500,000, duration 9/96 to 8/98.
15. “Purchase of a Portable Near-Infrared Spectrophotometer” with G. Scalarone, University Research
Committee, Idaho State University, $12,000, duration 7/97 to 6/98.
16. “Use of Raman Microscopy for Non-Destructive Polymer/Multi-Layer Automobile Paint Cross
Section Analysis” Idaho National Engineering and Environmental Laboratory, $40,000, duration
10/98 to 9/99.
17. “Chemical Pattern Recognition and Detection of United States Currency”, Idaho National
Engineering and Environmental Laboratory, $10,400, duration 11/00 to 5/01.
18. “Extension of Chemical Pattern Recognition and Detection of United States Currency”, Idaho
National Engineering and Environmental Laboratory, $3,526, Duration 6/01 to 7/01.
19. “Dissemination as an Invited Lecturer at the International Union of Pure and Applied Chemistry
International Congress on Analytical Sciences”, Idaho State University Faculty Research
Committee, $ 1,680, duration 8/01 to 8/01.
20. “Extension of Chemical Pattern Recognition and Detection of United States Currency”, Idaho
National Engineering and Environmental Laboratory, $3,591, duration 9/01 to 12/01.
21. “Extension of Chemical Pattern Recognition and Detection of United States Currency”, Idaho
National Engineering and Environmental Laboratory, $4,488, duration 1/02 to 5/02.
22. “RUI: Multivariate Calibration as a Harmonious and Parsimonious Problem”, National Science
Foundation, $118,800, duration 8/04 to 7/07.
23. “A new Look at Non-Linear Multivariate Calibration”, Faculty Research Committee, Idaho State
University, $4,708, duration 1/05 to 12/05.
24. “RUI: Harmonious and Parsimonious Considerations for Correcting Chemical and Instrumental
Effects and Calibration Transfer”, National Science Foundation, $235,613, duration 8/07 to 7/11.
25. “Release Time to Investigate Norm Penalty Regularization for Biomedical Multivariate
Calibration”, InLight Solutions, Albuquerque, New Mexico, $63,894, duration 8/08 to 5/09.
26. “Scholarships for Chemistry and Biochemistry at Idaho State University” with R. Holman, C.
Evilia, J. Pak, K. De Jesus, and A. Holland, National Science Foundation, $568,957, duration 7/10
to 6/15.
27. “Multivariate Calibration Orthogonal to Non-Analyte Spectral Artifacts” Faculty Research
Committee, Idaho State University, $4,901, duration 1/11 to 12/11.
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28. “RUI: Dynamic Net Analyte Signal Modeling for Multivariate Calibration and Maintenance”,
National Science Foundation, $334,720, duration 9/11 to 2/16.
29. “Investigation of Multivariate Calibration for Simultaneous Determination of Anions and Cations
in Ion Chromatography”, Metrohm USA, Inc., Riverview, Florida, $14,026, duration 6/12 to 8/12.
30. “Infrared Thermal Imaging for Use in Restoration of Defaced Serial Numbers”, with R. Rodriguez
and D. Strommen, Office of Justice Programs at the Department of Justice, $316,004, duration 1/14
to 12/16.
31. Scholarships for Chemistry and Biochemistry at Idaho State University” with J. Pak, C.
Evilia, A. Holland, and L. Goss, National Science Foundation, $615,375, duration 7/15
to 2/21.
32. “CDS&E: Regularization Adaption Processes for Multivariate Calibration and Maintenance”,
National Science Foundation, $453,321, duration 8/15 to 7/19.
33. “Optimization and Statistical Testing of Experimental and Computer Methodologies for Evaluation
of the LIT-MIA Thermal Imaging Method for Recovery of Defaced Serial Numbers”. with R.
Rodriguez, Office of Justice Programs at the Department of Justice, $199,688, duration 1/17 to
12/19.
34. “CDS&E: Adaptive Learning for Multivariate Calibration with Big Data Attributes”,
National Science Foundation, $400,000, duration 8/19 to 7/22.
Invited Publications:
Journal Publications
1. J.H. Kalivas: “Assessing Spectral Orthogonality”, Applied Spectroscopy Reviews, 25, 229-259
(1989).
2. J.H. Kalivas: “Optimization Using Variations of Simulated Annealing”, Chemometrics and
Intelligent Laboratory Systems, 15, 1-12 (1992).
3. J.H. Kalivas: “Chemometrics with Undergraduates”, Chemometrics and Intelligent Laboratory
Systems, 15, 127-135 (1992).
4. J.H. Kalivas, “Two Data Sets of Near Infrared Spectra”, Chemometrics and Intelligent Laboratory
Systems, 37, 255-259 (1997).
5. J.H. Kalivas, “Interrelationships of Multivariate Regression Methods Using Eigenvector Basis
Sets”, Journal of Chemometrics, 13, 111-132 (1999).
6. J.H. Kalivas: “Overview of Two-norm (L2) and One-norm (L1) Regularization Variants for Full
Wavelength or Sparse Spectral Multivariate Calibration Models or Maintenance”, Journal of
Chemometrics, 26, 218-230 (2012).
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7. J.H. Kalivas, J. Palmer: “Characterizing Multivariate Calibration Tradeoffs (Bias, Variance,
Selectivity, and Sensitivity) to Select Model Tuning Parameters”, Journal of Chemometrics, 28,
347-357 (2014).
8. J.H. Kalivas: “The Flexibility of Regularization Processes for Multivariate Calibration
Maintenance”, European Pharmaceutical Review, 19(4), 21-24 (2014). (non-reviewed)
9. J.H. Kalivas, B. Brownfield, B. Karki: “Sample-Wise Spectral Multivariate Calibration
Desensitized to New Artifacts Relative to the Calibration Data Using a Residual Penalty”, Journal
of Chemometrics, 31(4), 1-12 (2017) DOI: 10.1002/cem.2873.
10. T. Lemos, J.H. Kalivas: “Leveraging Multiple Linear Regression for Wavelength Selection”,
Chemometrics and Intelligent Laboratory Systems, 168, 121-127 (2017)
https://doi.org/10.1016/j.chemolab.2017.07.011.
11. T. Stokes, M. Foteini, B. Brownfield, J.H. Kalivas, G. Mousdis, A. Amine, and C. Georgiou:
“Feasibility Assessment of Synchronous Fluorescence Spectral Fusion by Application to Argan Oil
for Adulteration Analysis”, Applied Spectroscopy, 72, 432-441 (2018) DOI:
10.1177/0003702817749232.
Chapters in Books
12. J.H. Kalivas: “Chapter 4, Calibration” in Practical Guide to Chemometrics, editor S. J. Haswell,
Marcel Dekker, New York, (1992).
13. J.H. Kalivas: “Calibration Design: Samples and Wavelengths” in Trends Applied Spectroscopy,
Vol. 1, editor J. Menon, Research Trends, India 173-186 (1993).
14. U. Hörchner, J.H. Kalivas: “Comparison of Algorithms for Wavelength Selection” in Adaption of
Simulated to Chemical Optimization Problems, editor J.H. Kalivas, Elsevier, The Netherlands,
(1995).
15. G.A. Bakken, N.J. Messick, J.H. Kalivas: “Singular Value Evolving Profiles of
Spectrochromatographic Data for Detection of Impurities and Determination of Component-Wise
Elution Regions”in Recent Developments in Applied Spectroscopy, Vol. 1, editor Scientific
Information Guild, Research Signpost, India, 41-51 (1996).
16. J.H. Kalivas, U. Hörchner: “Improved Calibrations for NIR Spectra by Wavelength Selection” in
Recent Developments in Applied Spectroscopy, Vol 1, editor Scientific Information Guild,
Research Signpost, India, 25-39 (1996).
17. P.J. Gemperline, J.H. Kalivas: “Chapter 3, Sampling Theory, Distribution Functions and the
Multivariate Normal Distribution” in Practical Guide to Chemometrics, Second Edition, editor P.J.
Gemperline, CRC Press Taylor & Francis Group, Boca Raton, Florida (2006).
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18. J.H. Kalivas, P.J. Gemperline: “Chapter 5, Calibration” in Practical Guide to Chemometrics,
Second Edition, editor P.J. Gemperline, CRC Press Taylor & Francis Group, Boca Raton, Florida
(2006). 19. J.H. Kalivas: “Progression of Chemometrics in Research Supportive Curricula: Preparing for the Demands of Society” in ACS Symposium Series 970, Active Learning: Models from the Analytical Sciences, editor P.A. Mabrouk, Oxford University Press (2007). 20. J.H. Kalivas: “Calibration Methodologies” in Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, editors-in-chief S. Brown, R. Tauler, and B. Walczak, Elsevier, The Netherlands (2009).
21. J. Palmer, J.H. Kalivas: “Net Analyte Signal (NAS) for Selection of Multivariate Calibration
Models and Development of NAS Sample-Wise Target Calibration Model Attributes” in ACS
Symposium, 40 Years of Chemometrics, editor B. Lavine, Oxford University Press (2015).
22. J.H. Kalivas: “Chapter 12: Data Fusion of Nonoptimized Models: Applications to Outlier
Detection, Classification, and Image Library Searching”, in Data Fusion Methodology and
Applications" editor M. Cocchi, Elsevier, The Netherlands, (2019).
23. J.H. Kalivas, S.D. Brown: “Calibration Methodologies” in Comprehensive Chemometrics:
Chemical and Biochemical Data Analysis, 2nd Edition, editors-in-chief S. Brown, R. Tauler, and B.
Walczak, Elsevier, The Netherlands (2020).
DOI: https://doi.org/10.1016/B978-0-12-409547-2.14666-9
Books
24. J.H. Kalivas, P.M. Lang: Mathematical Analysis of Spectral Orthogonality, Marcel Dekker, New
York, (1994).
25. J.H. Kalivas (editor): Adoption of Simulated Annealing to Chemical Optimization Problems,
Elsevier, The Netherlands, (1995).
26. J.H. Kalivas (section editor): Linear Regression Modeling in Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, editors-in-chief S. Brown, R. Tauler, and B. Walczak, Elsevier, The Netherlands (2009).
Journal Publications:
27. J.H. Kalivas, B.R. Kowalski: “Generalized Standard Addition Method for Multicomponent
Instrument Characterization and Elimination of Interferences in Inductively Coupled Plasma
Spectrometry”, Analytical Chemistry, 53, 2207-2212 (1981).
28. J.H. Kalivas, B.R. Kowalski: “Compensation for Drift and Interferences in Multicomponent
Analysis”, Analytical Chemistry, 54, 560-565 (1982).
29. J.H. Kalivas, B.R. Kowalski: “Automated Multicomponent Analysis with Correction for
Interferences and Matrix Effects”, Analytical Chemistry, 55, 532-535 (1983).
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30. J.H. Kalivas: “Precision and Stability for the Generalized Standard Addition Method”, Analytical
Chemistry, 55, 565-567 (1983).
31. I.E. Frank, J.H. Kalivas, B.R. Kowalski: “Partial Least Squares Solutions for Multicomponent
Analysis”, Analytical Chemistry, 55, 1800-1804 (1983).
32. J.H. Kalivas: “Determination of Optimal Parameters for Multicomponent Analysis Using the
Calibration Matrix Condition Number”, Analytical Chemistry, 58, 989-992 (1986).
33. L.L. Juhl, J.H. Kalivas: “Evaluation of the Calibration Matrix Condition Number As a Criterion for
Optimal Derivative Spectrophotometric Multicomponent Analysis”, Analytica Chimica Acta, 187,
347-351 (1986).
34. J.H. Kalivas: “A Simplex Optimized Inductively Coupled Plasma Spectrometer with Minimization
of Interferences”, Applied Spectroscopy, 41, 1338-1342 (1987).
35. J.H. Kalivas: “Evaluation of Volume and Matrix Effects for the Generalized Standard Addition
Method”, Talanta, 34, 899-903 (1987).
36. L.L. Juhl, J.H. Kalivas: “Evaluation of Experimental Designs for Multicomponent Analysis with
Spectrophotometry”, Analytical Chimica Acta, 207, 125-135 (1988).
37. J.H. Kalivas, C.W. Blount: “Error Analysis for Multicomponent Systems”, Journal of Chemical
Education, 65, 794-795 (1988).
38. J.H. Kalivas: “Variance-Decomposition of Pure-Component Spectra as a Measure of Selectivity”,
Journal of Chemometrics, 3, 443-449 (1989).
39. J.H. Kalivas, P. Lang: “Condition Numbers, Iterative Refinement and Error Bounds”, Journal of
Chemometrics, 3, 443-449 (1989).
40. J.H. Kalivas, N. Roberts, J. Sutter: “Global Optimization by Simulated Annealing with Wavelength
Selection for Ultraviolet-Visible Spectrophotometry”, Analytical Chemistry, 61, 2024-2030 (1989).
41. L.L. Juhl, J.H. Kalivas, J.M. Sutter: “Observations of Trends for Singular Values and Eigenvectors
from Library Searching Ultraviolet/Visible Spectra with Spectral Subtraction”, Analytical Chimica
Acta, 237, 223-232 (1990).
42. J.H. Kalivas: “Generalized Simulated Annealing for Calibration Sample Selection From an Existing
Set and Orthogonalization of Undesigned Experiments”, Journal of Chemometrics, 5, 37-48 (1991).
43. J.M. Sutter, J.H. Kalivas: “Convergence of Generalized Simulated Annealing with Variable Step
Size with Application Toward Parameter Estimations of Linear and Nonlinear Models”, Analytical
Chemistry, 63, 2383-2386 (1991).
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44. K. Hitchcock, J.M. Sutter, J.H. Kalivas: “Computer-Generated Multicomponent Calibration
Designs for Optimal Analysis Sample Predictions”, Journal of Chemometrics, 6, 85-96 (1992).
45. T.D. Jarvis, J.H. Kalivas: “Fundamentals of Condition Index Evolving Profiles for Qualitative
Analysis of Unresolved Chromatographic Peaks”, Analytica Chimica Acta, 266, 13-24 (1992).
46. J.M. Sutter, J.H. Kalivas, P.M. Lang: “Which Principal Components to Utilize for Principal
Component Regression”, Journal of Chemometrics, 6, 217-225 (1992).
47. T.D. Jarvis, J.H. Kalivas: “Condition Index Evolving Profile Library Searches: Gas
Chromatography-Fourier Transform Infrared Spectrometry Application”, Analytica Chimica Acta,
272, 53-59 (1993).
48. J.M. Sutter, J.H. Kalivas: “Comparison of Forward Selection. Backward Elimination, and
Generalized Simulated Annealing for Variable Selection”, Microchemical Journal, 47, 60-66
(1993).
49. P.M. Lang, J.H. Kalivas: “A Global Perspective on Multivariate Methods in Spectral Chemical
Analysis”, Journal of Chemometrics, 7, 153-163 (1993).
50. G.A. Bakken, J.H. Kalivas: “Assessing Chromatographic Peak Purity Using Condition Index and
Singular Value Evolving Profiles”, Analytica Chimica Acta, 300, 173-181 (1995).
51. U. Hörchner, J.H. Kalivas: “Further Investigation on a Comparative Study of Simulated
Annealing and Genetic Algorithm for Wavelength Selection”, Analytica Chimica Acta, 311, 1-13
(1995).
52. U. Hörchner, J.H. Kalivas: “Simulated Annealing Type Optimization Algorithms: Fundamentals
and Wavelength Selection Applications”, Journal of Chemometrics, 9, 283-308 (1995).
53. J.H. Kalivas, P.M. Lang: “Interrelationships Between Sensitivity and Selectivity Measures for
Spectroscopic Analysis”, Chemometrics and Intelligent Laboratory Systems, 32, 135-149 (1996).
54. N.J. Messick, J.H. Kalivas, P.M. Lang: “Selectivity and Related Measures for nth-Order Data”,
Analytical Chemistry, 68, 1572-1579 (1996).
55. G.A. Bakken, N.J. Messick, J.H. Kalivas: “Determination of Component-Wise Chromatographic
Elution Regions Using Singular Value Evolving Profiles”, Analytica Chimica Acta, 334, 15-25
(1996).
56. N.J. Messick, J.H. Kalivas: “Determination of Chromatographic Elution Profiles Using Non-
Normalized Singular Value Evolving Profiles”, Microchemical Journal, 55. 235-246 (1997).
57. N.J. Messick, J.H. Kalivas, P.M. Lang: “Selecting Factors for Partial Least Squares”,
Microchemical Journal, 55, 200-207 (1997).
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58. Y.L. Xie, J.H. Kalivas: “Use of Matrix Orthogonal Projection to Peak Purity Assessment”,
Analytical Letters, 30,395-416 (1997).
59. J.M. Brenchley, U Hörchner, J.H. Kalivas: “Wavelength Selection Characterization for NIR
Spectra”, Applied Spectroscopy, 51, 689-699 (1997).
60. Y.L. Xie, J.H. Kalivas: “Evaluation of Principal Component Selection Methods to Form a Global
Prediction Model by Principal Component Regression”, Analytica Chimica Acta, 348, 19-27
(1997).
61. Y.L. Xie, J.H. Kalivas: “Local Prediction Models by Principal Component Regression”, Analytica
Chimica Acta, 348, 29-38 (1997).
62. J.H. Kalivas, P.M. Lang: “Response to: Comments on Interrelationships Between Sensitivity and
Selectivity Measures for Spectroscopic Analysis”, Chemometrics and Intelligent Laboratory
Systems, 38, 95-100 (1997).
63. G.A. Bakken, D.R. Long, J.H. Kalivas: “Examination of Criteria for Local Model Principal
Component Regression”, Applied Spectroscopy, 51, 1814-1822 (1997).
64. P.M. Lang, J.M. Brenchley, R.G. Nieves, J.H. Kalivas: “Cyclic Subspace Regression”, Journal of
Multivariate Analysis, 65, 58-70 (1998).
65. J.M. Brenchley, R.G. Nieves, P.M. Lang, J.H. Kalivas: “Stabilization of Cyclic Subspace
Regression”, Chemometrics and Intelligent Laboratory Systems, 41, 127-134 (1998).
66. C.E. Anderson, R.G. Nieves, J.H. Kalivas: “Spectral Orthogonality Considerations for Library
Searching Nth-Order Data”, Chemometrics and Intelligent Laboratory Systems, 41, 115-125 (1998).
67. J.H. Kalivas: “Cyclic Subspace Regression with Analysis of the Hat Matrix”, Chemometrics and
Intelligent Laboratory Systems, 45, 209-217 (1998).
68. G.A. Bakken, T.P. Houghton, J.H. Kalivas: “Cyclic Subspace Regression with Analysis of
Wavelength Selection Criteria”, Chemometrics and Intelligent Laboratory Systems, 45, 219-232
(1998).
69. V.A. Allen, J.H. Kalivas, R.G. Rodriguez: “Post-Consumer Plastic Identification Using Raman
Spectroscopy”, Applied Spectroscopy, 53, 672-681 (1999).
70. C.E. Anderson, J.H. Kalivas: “Fundamentals of Calibration Transfer Through Procrustes Analysis”,
Applied Spectroscopy, 53, 1268-1276 (1999).
71. J.J. Rosentreter, R. Nieves, J.H. Kalivas, J. Rousseau, R.C. Bartholomay: “The Use of Chemical
and Physical Properties for Rapid Characterization of Strontium Distribution Coefficients at the
Idaho National Engineering and Environmental Laboratory, Idaho”, U.S. Geological Survey, Water
Resources Investigations /report, 99-4123 (June 1999).
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72. T. Houghton, J.H. Kalivas: “Implementation of Traditional and Real-World Cooperative Learning
Techniques in Quantitative Analysis Including Near Infrared Spectroscopy for Analysis of Live
Trout”, Journal of Chemical Education, 77, 1314-1318 (2000).
73. J.M. Brenchley, R.L. Green, S.Z. Fairchild, J.H. Kalivas, G. Scalarone: “Capability of Urine
Analysis for the Disease Blastomycosis Using Infrared Spectroscopy and Eigenvector Signal to
Noise Assessment” Analytical Letters, 33, 3165-3181 (2000).
74. J.H. Kalivas: “Basis Sets for Multivariate Calibration”, Analytica Chimica Acta, 428, 31-40 (2001).
75. S.Z. Fairchild, J.H. Kalivas: “PCR Eigenvector Selection Based on Correlation Relative Standard
Deviations”, Journal of Chemometrics, 15, 615-625 (2001).
76. J.H. Kalivas, R.L. Green: “Pareto Optimal Multivariate Calibration for Spectroscopic Data”,
Applied Spectroscopy, 55, 1645-1652 (2001).
77. R.L. Green, J.H. Kalivas: “Graphical Diagnostics for Regression Model Determinations with
Consideration of the Bias/Variance Trade-off”, Chemometrics and Intelligent Laboratory Systems,
60, 173-188 (2002).
78. N.M. Faber, J. Ferré, R. Boqué, J.H. Kalivas: “Second-order Bilinear Calibration: The Effects of
Vectorising the Data Matrices of the Calibration Set”, Chemometrics and Intelligent Laboratory
Systems, 63, 107-116 (2002).
79. J.M. Clark, K.A. Daum, J.H. Kalivas: “Demonstrated Potential of Ion Mobility Spectrometry for
Detection of Adulterated Perfumes and Plant Speciation”, Analytical Letters, 36, 215-244 (2003).
80. N.M. Faber, J. Ferré, R. Boqué, J.H. Kalivas: “Quantifying Selectivity in Spectrophotometric
Multicomponent Analysis”, Trends in Analytical Chemistry, 22, 352-361 (2003).
81. K.J. Anderson, J.H. Kalivas: “Assessment of Pareto Calibration, Stability, and Wavelength
Selection”, Applied Spectroscopy, 57, 309-316 (2003).
82. J.H. Kalivas: “Pareto Calibration with Built-In Wavelength Selection”, Analytica Chimica Acta,
505, 9-14 (2004).
83. H.A. Seipel, J.H. Kalivas: “Effective Rank for Multivariate Calibration Methods”, Journal of
Chemometrics, 18, 306-311 (2004) and “Erratum to Seipel HA, Kalivas JH. Effective Rank for
Multivariate Calibration Methods. J. Chemometrics 2004; 18: 306-311”, Journal of Chemometrics,
19, 64 (2005).
84. J.B. Forrester, J.H. Kalivas: “Ridge Regression Optimization Using a Harmonious Approach”,
Journal of Chemometrics, 18, 372-384 (2004).
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85. J.H. Kalivas, J.B. Forrester, H.A. Seipel: “QSAR Modeling Based on the Bias/Variance
Compromise: A Harmonious Approach”, Journal of Computer-Aided Molecular Design, 18,
537-547 (2004).
86. J.H. Kalivas: “Realizing Work Place Skills in Instrumental Analysis”, Journal of Chemical
Education, 82, 895-897 (2005).
87. J.H. Kalivas, “Multivariate Calibration: An Overview”, Analytical Letters, 38, 2259-2279 (2005).
88. A.C. Olivieri, N.M. Faber, J. Ferré, R. Boque, J.H. Kalivas, H. Mark: “Uncertainty Estimation and
Figures of Merit for Multivariate Calibration”, Pure and Applied Chemistry, 78, 633-661 (2006).
89. F. Stout, J.H. Kalivas: “Tikhonov Regularization in Standard and General Form for Multivariate
Calibration with Applications Towards Removing Unwanted Spectral Artifacts”, Journal of
Chemometrics, 20, 22-33 (2006).
90. F. Stout, M.R. Baines, J.H. Kalivas: “Impartial Graphical Comparison of Multivariate Calibration
Methods and the Harmony/Parsimony Tradeoff”, Journal of Chemometrics, 20, 464-475 (2006).
91. F. Stout, J.H. Kalivas, K. Héberger: “Wavelength Selection for Multivariate Calibration Using
Tikhonov Regularization”, Applied Spectroscopy, 61, 85-95 (2007).
92. F. Stout, J.H. Kalivas: “Evaluation of Multivariate Calibration Using a Tikhonov Regularization
Approach and the Generalized Pair-Correlation Method with Non-linear Data”, Analytical Letters,
40, 1227-1251 (2007).
93. J.H. Kalivas: “Learning from Procrustes Analysis to Improve Multivariate Calibration”, Journal of
Chemometrics, 22, 227-234 (2008).
94. J.H. Kalivas: “An Elementary School Service Learning Project Based on a Research Supportive
Curriculum Format in the General Chemistry Laboratory”, Journal of Chemical Education, 85,
1410-1415 (2008)
95. O. Farkas, I.G. Zenkevich, F. Stout, J.H. Kalivas, K. Héberger: “Prediction of Gas Chromatographic
Retention Indices for Fatty Acid Methyl Esters”, Journal of Chromatography A, 1198-1199, 188-
195 (2008).
96. J.H. Kalivas, G.G. Siano, E. Andries, H.C. Goicoechea: “Calibration Maintenance and Transfer
Using Tikhonov Regularization Approaches”, Applied Spectroscopy, 63, 800-809 (2009).
97. M.R. Kunz, J. Ottaway, J.H. Kalivas, E. Andries: “Impact of Standardization Sample Designs on
Tikhonov Regularization Variants for Spectroscopic Calibration and Maintenance and Transfer”,
Journal of Chemometrics, 24, 218-229 (2010).
98. E. Andries, J.H. Kalivas, “Multivariate Calibration Leverages and Spectral F-Ratios via the Filter
Factor Representation”, Journal of Chemometrics, 24, 249-260 (2010).
13
99. R. Kunz, J.H. Kalivas, E. Andries: “Model Updating for Spectral Calibration Maintenance and
Transfer Using 1-Norm Variants of Tikhonov Regularization”, Analytical Chemistry, 82, 3642-3649
(2010).
100. J. Ottaway, J.H. Kalivas, E. Andries: “Spectral Multivariate Calibration with Wavelength
Selection Using Variants of Tikhonov Regularization”, Applied Spectroscopy, 64, 1388-1395
(2010).
101. M.R. Kunz, J. Ottaway, J.H. Kalivas, C.A. Georgiou, G.A. Mousdis: “Updating a Synchronous
Fluorescence Spectroscopic Virgin Olive Oil Adulteration Calibration to a New Geographical
Region”, Journal of Agricultural and Food Chemistry, 59, 1051-1057 (2011).
102. J. Farrell, K. Higgins, J.H. Kalivas: “Updating a Near-Infrared Multivariate Calibration Model
Formed with Lab-Prepared Pharmaceutical Tablet Types to New Tablet Types in Full Production”,
Journal of Pharmaceutical and Biomedical Analysis, 61, 114-121 (2012).
103. K. Higgins, J.H. Kalivas, E. Andries: “Evaluation of Target Factor Analysis and Net Analyte
Signal as Processes for Classification Purposes with Application to Benchmark Data Sets and
Extra Virgin Olive Oil Adulteration”, Journal of Chemometrics, 26, 66-75 (2012).
104. P. Shahbazikhah, J.H. Kalivas: “A Consensus Modeling Approach to Update a Spectroscopic
Calibration”, Chemometrics and Intelligent Laboratory Systems, 120, 142-153 (2013).
105. J. Ottaway, J. Farrell, J.H. Kalivas: “Spectral Multivariate Calibration without Laboratory Prepared
or Determined Reference Analyte Values”, Analytical Chemistry, 85, 1509-1516 (2013).
106. E. Andries, J.H. Kalivas: “Interrelationships between Generalized Tikhonov Regularization,
Generalized Net Analyte Signal, and Generalized Least Squares for Desensitizing a Multivariate
Calibration to Interferences”, Journal of Chemometrics, 27, 126-140 (2013).
107. J.H. Kalivas, C.A. Georgiou, M. Moira, I. Tsafaras, E. Petrakis, G.A. Mousdis: “Food Adulteration
Analysis without Laboratory Prepared or Determined Reference Food Adulterant Values”, Food
Chemistry, 148, 289-293 (2014). For a PowerPoint presentation, see
www.sciencedirect.com/science/article/pii/S030881461301501X
108. S.A. Drivelos, K. Higgins, J.H. Kalivas, S.A. Haroutounian, C.A. Georgiou: “Data Fusion for
Food Authentication. Combining Rare Earth Elements and Trace Metal to Discriminate “Fava
Santorinis” from Other Yellow Split Peas using Chemometric Tools”, Food Chemistry, 165,
316-322 (2014).
109. J. Ottaway, J.H. Kalivas: “Feasibility Study to Transform Spectral and Instrumental Artifacts for
Multivariate Calibration Maintenance”, Applied Spectroscopy, 69, 407-416 (2015).
110. J.H. Kalivas, K. Héberger, E. Andries: “Using Sum of Ranking Differences (SRD) to Ensemble
Multivariate Calibration Model Merits for Tuning Parameter Selection and Comparing Calibration
Methods”, Analytica Chimica Acta, 869, 21-33 (2015).
14
111. P. Shahbazikhah, J.H. Kalivas, E. Andries, T. O’Loughlin: “Using the L1 Norm to Select Basis Set
Vectors for Multivariate Calibration and Calibration Updating”, Journal of Chemometrics, 30,
109-120 (2016).
112. A. Tencate, J.H. Kalivas, E. Andries: “Penalty Processes for Combining Roughness and
Smoothness in Spectral Multivariate Calibration”, Journal of Chemometrics, 30, 144-152 (2016).
113. A.J. Tencate, J.H. Kalivas, A.J. White: “Fusion Strategies for Selecting Multiple Tuning
Parameters for Multivariate Calibration and other Penalty Based Processes: A Model Updating
Application for Pharmaceutical Analysis”, Analytica Chimica Acta, 921, 28-37 (2016).
114. B. Brownfield, J.H. Kalivas: “Consensus Outlier Detection using Sum of Ranking Differences of
Common and New Outlier Measures without Tuning Parameter Selections”, Analytical
Chemistry, 89, 5087-5094 (2017) DOI: https://doi.org//10.1021/acs.analchem.7b00637.
115. B. Brownfield, J.H. Kalivas: “Correction to Consensus Outlier Detection using Sum of Ranking
Differences of Common and New Outlier Measures without Tuning Parameter Selections,
Analytical Chemistry, 89, 5087-5094 (2017) DOI: 10.1021/acs.analchem.7b00637”, Analytical
Chemistry, 89, 9609-9609 (2017) DOI: https://doi.org//10.1021/acs.analchem.7b02828
116. J.H. Kalivas, J. Ferré, A.J. Tencate: “Selectivity-Relaxed Classical and Inverse Least Squares
Calibration and Selectivity Measures with a Unified Selectivity Coefficient”, Journal of
Chemometrics, 31, 1-23 (2017) DOI: 10.1002/cem.2925, Open Access
http://onlinelibrary.wiley.com/doi/10.1002/cem.2925/epdf
117. B. Brownfield, T. Lemos, J.H. Kalivas: “Consensus Classification Using Non-Optimized
Classifiers”, Analytical Chemistry, 90, 4429-4437 (2018) DOI:
https://doi.org//10.1021/acs.analchem.7b04399.
118. E. Andries, J.H. Kalivas, A. Gurung: “Sample and Feature Augmentation Strategies for
Calibration Updating: A Comparative Study”, Journal of Chemometrics, 31(1), 1-20 (2019)
DOI: https://doi.org//10.1002/cem.3080
119. I. Unobe, L. Lau, J. Kalivas, R. Rodriguez, A. Sorensen: “Restoration of Defaced Serial Numbers
Using Lock-in Infrared Thermography (Part I)”, Journal of Spectral Imaging, 8, Article ID a19
(2019) DOI: https://doi.org/10.1255/jsi.2019.a19
120. I. Unobe, L. Lau, J. Kalivas, R. Rodriguez, A. Sorensen: “Restoration of Defaced Serial Numbers
Using Lock-in Infrared Thermography (Part II)”, Journal of Spectral Imaging, 8, Article ID a20
(2019) DOI: https://doi.org/10.1255/jsi.2019.a20
121. T. Lemos, R. Emerson, J.H. Kalivas: “Identifying Chemical, Physical, and Instrumental Matrix
Matched Samples by Leveraging Spectral Model Regression Vectors”, Analytical Chemistry,
92(1), 815-823 (2020) DOI: http://doi.org/10.1021/acs.analchem.9b03302.
15
122. T. Lemos, J.H. Kalivas: “Self-Optimized One-Class Classification Using Sum of Ranking
Differences Combined with a Receiver Operator Characteristic Curve”, Analytical Chemistry, 92,
5354-5361 (2020). http://doi.org/10.1021/acs.analchem.0c00017.
123. A. Gurung, J.H. Kalivas: “Model Selection Challenges with Application to Multivariate
Calibration Updating Methods”, Journal Chemometrics 2020;34:e3245; {34(7), 1-17 (2020)}
https://doi.org/10.1002/cem.3245
124. B.K. Chabuka, J.H. Kalivas: “Application of a Hybrid Fusion Classification Process for
Identification of Microplastics Based on FTIR Spectroscopy”, Applied Spectroscopy In press.
Manuscripts Submitted:
1. S. Hansen, A. Mirkouei, M.M. Ramirez-Corredores, K. Sharma, R. Spiers, J.H. Kalivas, E.
Struhs: “Effect of Sono-Catalytic Transfer Hydrogenation and In-Line Characterization on Upgrading
Pyrolysis-Derived Oil”, Ultrasonics - Sonochemistry Submitted June 2020.
Manuscripts in Preparation:
1. R.C. Spiers, J.H. Kalivas: “Utilizing Model Diversity and Prediction Similarity for Reliable
Transductive Multivariate Calibration Model Selections by Consensus Filtering”, in preparation for
Analytical Chemistry.
2. R.C. Spiers, J.H. Kalivas: “Harnessing Unlabeled Data for Transductive Model Updating and
Parameter Selection”, in preparation for Analytical Chemistry.
3. J.H. Kalivas, T. Lemos: “Automatic Food Authentication and Adulteration Detection by
Classification Data Fusion” in preparation for Applied Spectroscopy.
Invited Meeting Talks:
1. J.H. Kalivas: “Novel Approach to Interference Correction” 1st ICAP Atomic Emission Workshop,
Weyerhauser Technology Center, Tacoma, Washington, 1981.
2. J.H. Kalivas, K. Hitchcock, J.M. Sutter: “Multivariate Calibration Designs by Generalized
Simulated Annealing”, International Congress on Analytical Sciences 1991, Makuhari-Messe,
Chiba, Japan, 1991.
3. J.H. Kalivas, J.M. Sutter, P.M. Lang: “Optimization Applications of Generalized Simulated
Annealing Including: Not Only a Question of How Many Principal Components for PCR, But Also
Which Ones”, International Conference on Chemometrics in Analytical Chemistry, Montreal,
Quebec, Canada, 1992.
4. J.H. Kalivas, P.M. Lang: “Getting the Most Out of PCR and PLS”, Federation of Analytical
Chemistry and Spectroscopy Societies (FACSS), Detroit, Michigan, 1993.
16
5. J.H. Kalivas, P.M. Lang: “Singular Values and Their Use in Global Selectivity and Sensitivity
Assessments”, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), St. Louis,
Missouri, 1994.
6. J.H. Kalivas: “Selection of Principal Components to Build Global and Local Models by PCR and
Analysis of Wavelength Selection Versus Principal Component Selection”, International
Conference on Chemometrics in Analytical Chemistry, Tarragona, Spain, 1996.
7. J.H. Kalivas, P.M. Lang: “Interrelationships Between PCR and PLS by Cyclic Subspace Regression
with Applications”, First Conference on Chemometrics in China, Zhangjiajie, China, 1997.
8. J.H. Kalivas: “The Hat Matrix: A Bridge Between PCR, PLS, and LS”, Federation of Analytical
Chemistry and Spectroscopy Societies (FACSS), Providence, Rhode Island, 1997.
9. J.H. Kalivas, C.E. Anderson: “Multidimensional Scaling for Multivariate Calibration Transfer”,
Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Providence, Rhode
Island, 1997.
10. J.H. Kalivas, V.A. Allen, R.G. Rodriguez: “Identification of Recycled Plastic Waste by Raman
Spectroscopy’, National Meeting of the American Chemical Society, Dallas, Texas, 1998.
11. J.H. Kalivas: “PCR and PLS the Same and Not the Same”, Ninth International Diffuse Reflectance
Conference, Chambersburg, Pennsylvania, 1998.
12. J.H. Kalivas: “A Simple Geometric View of Cyclic Subspace Regression and Continuum
Regression: Are They Different Methods?”, Federation of Analytical Chemistry and Spectroscopy
Societies (FACSS), Austin, Texas, 1998.
13. J.H. Kalivas, R. Green: “Graphical Diagnostics of Model Parameters”, Fourth International
Conference on Environmetrics and Chemometrics, Las Vegas, Nevada, 2000.
14. J.H. Kalivas, S. Fairchild, R. Green: “Parsimony Paradox”, Federation of Analytical Chemistry and
Spectroscopy Societies (FACSS), Nashville, Tennessee, 2000.
15. J.H. Kalivas: “Chemometrics with Undergraduates: When Can you Start?”, Federation of Analytical
Chemistry and Spectroscopy Societies (FACSS), Nashville, Tennessee, 2000.
16. J.H. Kalivas: “Multivariate Calibration by Pareto-Optimality”, International Congress on Analytical
Sciences, Tokyo, Japan, 2001.
17. J.H. Kalivas: “Evolution of Chemometrics in the Undergraduate Analytical Chemistry Curriculum”,
South East Regional Meeting of the American Chemical Society, Savannah, Georgia, 2001.
18. J.H. Kalivas: “Regression Diagnostic Considerations for Determining Pareto Calibration Models”,
Third Aegean Analytical Chemistry Days, Polihnitos, Lesvos, Greece, 2002.
17
19. J.H. Kalivas: “Defining Multivariate Calibration Model Complexity for Model Selection and
Comparison”, Fourth Winter Symposium on Chemometrics, Chernogolovka, Russia, 2005.
20. J.H. Kalivas: “Student-Centered Learning in Analytical Chemistry for Realizing Work Place
Skills”, National Meeting of the American Chemical Society, Washington DC, 2005.
21. J.H. Kalivas: “Active Learning Using a Research Supportive Curriculum Format with Service
Learning in the General Chemistry Laboratory”, Northwest Regional Meeting of the American
Chemical Society, Boise, Idaho, 2007.
22. J.H. Kalivas: “Applying Mean Centering Lessons from Procrustes Analysis to Improve Multivariate
Calibration”, Conferentia Chemometrica, Hungary, 2007.
23. J.H. Kalivas: “Multiple Uses of Tikhonov Regularization in Multivariate Calibration”, Conferentia
Chemometrica, Hungary, 2009.
24. J.H. Kalivas: “Multivariate Calibration and Maintenance without Reference Samples via Tikhonov
Regularization Incorporating Two Tuning Parameters”, Conferentia Chemometrica, Hungary, 2011.
25. J.H. Kalivas: “Student-Centered Learning in Analytical Chemistry for Realizing Work Place
Skills”, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Reno, Nevada,
2011.
26. J.H. Kalivas, P. Shahbazikhah: “Consensus Multivariate Calibration or Maintenance without
Reference Samples Using Tikhonov Type Regularization Approaches”, Eighth Winter Symposium
on Chemometrics, Drakino, Russia, 2012.
27. J.H. Kalivas, P. Shahbazikhah, E. Andries: “Using Sparse Modeling Algorithms to Select
Multivariate Calibration Basis Set Vectors”, XIII Chemometrics in Analytical Chemistry, Budapest,
Hungary, 2012.
28. J.H. Kalivas, P. Shahbazikhah, E. Andries: “Selecting Multivariate Calibration Basis Set Vectors to
Optimize Spectroscopic Performance”, SciX 2012, Kansas City, Missouri, 2012.
29. J.H. Kalivas, J. Palmer: “Assessing Multivariate Calibration Trade-offs to Select Model Tuning
Parameters”, SciX 2013, Milwaukee, Wisconsin, 2013.
30. J.H. Kalivas: “Characterizing the Implicative Selectivity/Sensitivity Balance Using the Explicative
Bias/Variance Tradeoff in Selecting Multivariate Calibration Model Tuning Parameters”, AnalytiX
2014, Dalian, China, 2014.
31. J.H. Kalivas, K. Higgins, C.A. Georgiou, M. Mira, I. Tsafaras, G.A. Mousdis, E. Petrakis, S.A.
Drivelos, S.A. Haroutounian: “Identifying Authentic and/or Adulterated Food Products Followed by
Adulterant Quantitation without Reference Samples: Application to Fava Santorinis and Extra
Virgin Olive Oil”, American Chemical Society National Meeting, San Francisco, California, 2014.
18
32. J.H. Kalivas: “Advancing Regularization Processes in Multivariate Calibration to Include
Multimerits and Multituning Parameters”, International Chemometric Research Meeting,
Nijmegen, The Netherlands, 2014.
33. J.H. Kalivas, B. Brownfield: “Outlier Detection by Fusion of Multiple Merits”, AnalytiX
2015, Nanjing, China, 2015.
34. J.H. Kalivas, A. Tencate: “Fusion of Multiple Measures of Calibration Model Quality to Rank
Models Based on Multiple Tuning Parameters”, Conferentia Chemometrica, Budapest, Hungary,
2015.
35. J.H. Kalivas, B. Brownfield: “Characterizing Calibration Data Sets by Fusion of Dissimilarity
Merits Including Outlier Detection”, SciX 2015, Providence, Rhode Island, 2015.
36. J.H. Kalivas, B. Brownfield, A. Tencate: “Advancing Multivariate Spectral Calibration with Fusion
of Multiple Quality Measures”, Eastern Analytical Symposium (EAS), Newark, New Jersey, 2015.
37. J.H. Kalivas, A. Tencate: “Ranking Multivariate Calibration Models Formed from Multiple Tuning
Parameters (Model Penalties)”, National Meeting of the American Chemical Society, San Diego,
California, 2016.
38. J.H. Kalivas, R. Emerson: “Taking a Big Data Approach to Local Spectral Calibration”,
Chemometrics in Analytical Chemistry, Barcelona, Spain, 2016.
39. J.H. Kalivas, B. Brownfield: “Chemometric Processes for Food Authentication and Adulteration
Analysis”, Institute of Food Technologists (IFT) Meeting, Chicago, Illinois, 2016.
40. J.H. Kalivas: “Penalty Based Methods for Calibration Maintenance”, SciX 2016, Minneapolis,
Minnesota, 2016.
41. J.H. Kalivas, B. Brownfield, I. Unobe: “Data Fusion Using Window Based Models: Application to
Outlier Detection, Classification, and Forensic Image Analysis”, Topics in Chemometrics,
Newcastle, Australia, 2017.
42. J.H. Kalivas, B. Brownfield, I. Unobe: “A New Perspective on Data Fusion: Window Based Models
with Application to Outlier Detection, Classification, and Forensic Image Analysis”, IX Colloquium
Chemiometricum Mediterraneum, Arles, France, 2017.
43. J.H. Kalivas, B. Brownfield, I. Unobe: “Reducing Ambiguity in Outlier Detection, Classification,
and Forensics Image Analysis with Data Fusion”, Conferentia Chemometrica, Gyöngyös-
Farkasmály, Hungary, 2017.
44. J.H. Kalivas, I. Unobe, L. Lau, A. Sorensen, R. Rodriguez: “Non-Destructive Recovery of Defaced
Serial Numbers Using Infrared Thermal Imaging”, SciX 2017, Reno, Nevada, 2017.
19
45. E. Andries, J.H. Kalivas, A. Gurung: “Calibration Updating by Sample and Feature Augmentation”,
SciX 2017, Reno, Nevada, 2017.
46. J.H. Kalivas, J. Ferŕe, E. Andries, A. Tencate, A. Gurung: “Orthogonality and Unlabeled Data in
Multivariate Calibration”, Arctic Anlaysis II, Fludir, Iceland, April 2018.
47. J.H. Kalivas, T. Lemos: “Fusion of Non-Optimized Classifiers: Application to Food Authentication
and Adulteration”, 11th Aegean Analytical Chemistry Days, Chania, Crete, Greece, Sept 2018.
48. J.H. Kalivas, I. Unobe, T. Lemos: “Data Fusion with Non-Optimized models: Application to
Principal Component Analysis of Lock-in Thermography Images and Classification Problems”,
SciX 2018, Atlanta, Georgia, 2018.
49. J.H. Kalivas, I. Unobe, L. Lau, A. Sorensen, R. Rodriguez: “Non-Destructive Recovery of Defaced
Serial Numbers Using Infrared Thermal Imaging”, Pittcon, Philadelphia, Pennsylvania, March
2019.
50. J.H. Kalivas, T. Lemos, R. Emerson: “Leveraging the Regression Vector for Proper Matrix
Matching Aimed at Local Spectral Calibration”, Topics in Chemometrics, Szeged (Zanjan), Hungry,
2019.
51. J.H. Kalivas, T. Lemos: “Unraveling Sample Matrix Effects for Multivariate Calibration”, National
Meeting of the American Chemical Society, San Diego, California, 2019.
52. J.H. Kalivas, R. Spiers: “Using Model Diversity and Prediction Similarities of Unlabeled Samples
for Model Selection of Multivariate Calibration Updating Methods”, SciX 2019, Palm Springs,
Calif., 2019.
53. J.H. Kalivas, T. Lemos: “Food Authentication and Adulteration Detection with Data Fusion of
Non-Optimized Classifiers”, SciX 2019, Palm Springs, Calif., 2019.
54. J.H. Kalivas, T. Lemos: “Identifying Matrix Matched Samples by Leveraging Spectral Calibration
Model Regression Vectors”, SciX 2019, Palm Springs, Calif., 2019.
55. B.K. Chabuka, J.H. Kalivas: “Identification of Microplastics Using Non-Optimized Discriminant
Fusion Classification based on ATR-FTIR Spectroscopy”, SciX 2019, Palm Springs, Calif., 2019.
56. J.K. Kalivas, T. Lemos: “Harnessing Spectral Model Regression Vectors to Unravel Chemical,
Physical, and Instrumental Matrix Effects”, Eastern Analytical Symposium (EAS), Plainsboro, New
Jersey, 2019.
Meeting Talks and Posters:
57. J.H. Kalivas, B.R. Kowalski: “Generalized Standard Addition Method with Inductively Coupled
Plasma Emission”, Congress of the International Union of Pure and Applied Chemistry,
Vancouver, British Columbia, Canada, 1981.
20
58. J.H. Kalivas, C. Jochum, B.R. Kowalski: “Intelligent Analytical Instrumentation: Self-correcting
Multicomponent Analysis”, The Pittsburgh Conference and Exposition on Analytical Chemistry and
Applied Spectroscopy, Atlantic City, New Jersey, 1982.
59. J.H. Kalivas: “A Method for the Choice of Optimal Analytical Wavelengths in Spectrophotometric
Analysis of Multicomponent Systems”, Annual Meeting of the Idaho Academy of Science,
Pocatello, Idaho, 1985.
60. J.H. Kalivas:” Error Propagation as a Criterion for Optimal Spectrophotometic Multicomponent
Analysis”, The Pittsburgh Conference and Exposition on Analytical Chemistry and Applied
Spectroscopy, Atlantic City, New Jersey, 1986.
61. L.L. Juhl, J.H. Kalivas: “Optimization of Derivative Order for Spectral Multicomponent Analysis”,
Northwest Regional Meeting of the American Chemical Society, Portland, Oregon, 1986.
62. L.L. Juhl, J.H. Kalivas: “Correction to the Generalized Standard Addition Method”, Northwest
Regional Meeting of the American Chemical Society, Portland, Oregon, 1986.
63. J.H. Kalivas: Simplex Optimization of an ICP Spectrometer with Minimization of Spectral
Interferences”, National Meeting of the American Chemical Society, Denver, Colorado, 1987.
64. L.L. Juhl, J.H. Kalivas: “Evaluation of Wavelength Ranges for Multicomponent Analysis with
Spectrophotometry”, Pacific Conference on Chemistry and Spectroscopy, Irvine, California, 1987.
65. J. Sutter, J.H. Kalivas: “Automatic Computerized Wavelength Selection with Simplex”, National
Meeting of the American Chemical Society, Toronto, Canada, 1988.
66. P. Troescher, G. Wiegand, J.H. Kalivas: “Optimization of an Organic Synthesis with Simplex”,
Northwest Regional Meeting of the American Chemical Society, Spokane, Washington, 1988.
67. J.H. Kalivas: “Variance-Decomposition Proportions for Regression Coefficients”, Second Hidden
Peak Symposium on Computer-Enhanced Analytical Spectroscopy, Snowbird, Utah, 1988.
68. J.H. Kalivas, P. Lang: “Computable Error Bounds for Multicomponent Analysis”, Second Hidden
Peak Symposium on Computer-Enhanced Analytical Spectroscopy, Snowbird, Utah, 1988.
69. J.H. Kalivas: “Detecting and Assessing Spectral Orthogonality”, National Meeting of the
American Chemical Society, Los Angeles, California, 1988.
70. N. Roberts, J.H. Kalivas: “The Generalized Simulated Annealing Method Versus Simplex for
Function Optimization”, National Meeting of the American Chemical Society, Dallas, Texas,
1989.
71. J. Sutter, J.H. Kalivas: “Optimal Wavelength Selection for UV-Vis, Spectrophotometry Using
Simulated Annealing”, National Meeting of the American Chemical Society, Dallas, Texas, 1989.
21
72. J.H. Kalivas, L. Juhl, J. Sutter: “Variance-Decomposition: A New Procedure for Searching a UV-
Vis Spectral Library”, International Conference on Computers in Chemical Research and
Education, Riva del Garda, Italy, 1989.
73. J.H. Kalivas, N. Roberts, J. Sutter: “Simulated Annealing: A Controlled Heuristic Search
Procedure for Global Optimization”, International Conference on Computers in Chemical Research
and Education, Riva del Garda, Italy, 1989.
74. J.H. Kalivas: “Optimizing Performance for Near Infrared Multicomponent Analysis Using
Computer Designed Experiments”, Third Symposium on Computer-Enhanced Analytical
Spectroscopy, Snowbird, Utah, 1990.
75. J. Sutter, J.H. Kalivas: “Calibration Sample Design Using Generalized Simulated Annealing”,
Joint Northwest/Rocky Mountain Regional Meeting of the American Chemical Society, Salt Lake
City, Utah, 1990.
76. K. Hitchcock, J.H. Kalivas: “Multivariate Calibration of UV-Vis Spectra For Quantitative Analysis
Using Simulated Annealing Designed Experiments”, Federation of Analytical Chemistry and
Spectroscopy Societies Conference, Cleveland, Ohio, 1990.
77. J.H. Kalivas, J.M. Sutter: “Convergence of Generalized Simulated Annealing with Variable Step
Size for Parameter Estimations of Linear and Non-Linear Models”, Gordon Conference on
Statistics in Chemistry and Chemical Engineering, New Hampton, New Hampshire, 1991.
78. T.D. Jarvis, J.H. Kalivas: “Chromatographic Curve Resolution and Eluent Identification”, National
Meeting of the American Chemical Society, San Francisco, California, 1992.
79. J.M. Sutter, J.H. Kalivas: “Generalized Simulated Annealing Used for Variable Selection”,
National Meeting of the American Chemical Society, San Francisco, California, 1992.
80. J.H. Kalivas, T.D. Jarvis, P.R. Griffiths, E. Hasenoehrl: “Analyte Identification of Unresolved
Chromatographic Peaks Using Condition Index Evolving Profiles”, International Conference on
Chemometrics in Analytical Chemistry, Montreal, Quebec, Canada, 1992.
81. P.M. Lang, J.H. Kalivas: “A Global Perspective on Multivariate Methods in Spectral Chemical
Analysis”, International Conference on Chemometrics in Analytical Chemistry, Montreal, Quebec,
Canada, 1992.
82. J.H. Kalvas, G.A. Bakken: “Assessment of Peak Purity in Chromatography by Condition Index
Evolving Profile”, National Meeting of the American Chemical Society, San Diego, California,
1994.
83. U. Hörchner, J.H. Kalivas: “Comparison of Global Organization Methods for Wavelength
Selection”, Fifth Symposium on Computer-Enhanced Analytical Spectroscopy, Snowbird, Utah,
1994.
22
84. N.J. Messick, U. Hörchner, J.H. Kalivis: “Deterministic and Stochastic Wavelength Selection
Procedures for Spectroscopic Calibrations”, National Meeting of the American Chemical Society,
Washington D.C., 1994.
85. G.A. Bakken, J.H. Kalivas: “Singular Value Evolving Profiles for Assessment of Chromatographic
Peak Purity”, National Meeting of the American Chemical Society, Washington D.C., 1994.
86. G.A. Bakken, J.H. Kalivas: “Singular Value Evolving Profiles for the Assessment of
Chromatographic Peak Purity without Reference Spectra”, National Meeting of the American
Chemical Society, Anaheim, California, 1995.
87. N.J. Messick, G.A. Bakken, J.H. Kalivas: “Impurity Detection of GC-FTIR Data Employing the
Assessment of Singular Value Evolving Profiles”, Rocky Mountain Conference on Analytical
Chemistry, Denver, Colorado, 1995.
88. D.R. Long-Reitzel, J.H. Kalivas: “Sample Dependent Principal Component Regression”, Rocky
Mountain Conference on Analytical Chemistry, Denver, Colorado, 1995.
89. U. Hörchner, J.H. Kalivas: “Improvement of Calibrations for NIR Spectra by Wavelength
Selection”, Gordon Conference on Statistics in Chemistry and Chemical Engineering, New
Hampton, New Hampshire, 1995.
90. J.H. Kalivas, P.M. Lang: “A Unique Measure of Selectivity for N-Dimensional Data Arrays”,
International Chemical Congress of Pacific Basin Societies, Honolulu, Hawaii, 1995.
91. J.H. Kalivas, U. Hörchner: “Improvements of Calibrations for Near-IR Spectra by Exclusion of
Deteriorated Spectral Regions”, International Chemical Congress of Pacific Basin Societies,
Honolulu, Hawaii, 1995.
92. J.M. Brenchley, J.H. Kalivas: “When Have Enough Wavelengths Been Chosen, and Are They the
Right Ones?”, Northwest Regional American Chemical Society Meeting, Corvallis, Oregon, 1996.
93. G.A. Bakken, D.R. Long, J.H. Kalivas: “Sample Dependent Principal Component Regression”,
Northwest Regional American Chemical Society Meeting, Corvallis, Oregon, 1996.
94. J.M. Brenchley, J.H. Kalivas: “Selecting Effective Wavelengths to Improve Quantitative Analysis4
Based on Near-Infrared Spectra”, Federation of Analytical Chemistry and Spectroscopy Societies
Conference, Kansas City, Missouri, 1996.
95. G.A. Bakken, J.H. Kalivas: “Investigation of Factor Selection in Principal Component
Regression”, Federation of Analytical Chemistry and Spectroscopy Societies Conference, Kansas
City, Missouri, 1996.
96. G.A. Bakken, R.M. Mohseni, T. Houghton, J.H. Kalivas: “Examination of Wavelength Selection
Criteria”, National Meeting of the American Chemical Society, San Francisco, California, 1997.
23
97. J.M. Brenchley, R.G. Nieves, P.M. Lang, J.H. Kalivas: “A Mathematical Stabilization of an
Inherently Unstable Algorithm”, National Meeting of the American Chemical Society, San
Francisco, California, 1997.
98. C.E. Anderson, R.G. Nieves, J.H. Kalivas: “Evaluation of Multi-Order Library Searches”, National
Meeting of the American Chemical Society, San Francisco, California, 1997.
99. R.G. Nieves, J.M. Brenchley, P.M. Lang, J.H. Kalivas: “Relationships Between PCR and PLS by
Cyclic Subspace Regression”, National Meeting of the American Chemical Society, San Francisco,
California, 1997.
100. T.P. Houghton, J.H. Kalivas: “Real-World Chemical Analysis: Incorporation of a Trout Aquarium
in Quantitative Analysis”, National Meeting of the American Chemical Society, Las Vegas,
Nevada, 1997.
101. J.M. Brenchley, G. Scalarone, J.H. Kalivas: “Determination of Disease State by Spectroscopy”,
Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Providence, Rhode
Island, 1997.
102. V. Allen, J.H. Kalivas, R.G. Rodriguez: “Identification of Post Consumer Plastics Using Raman
Spectroscopy”, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Austin,
Texas, 1998.
103. R. Green, T.P. Houghton, J.H. Kalivas: “Lipid Analysis of Live Trout Using PCR and NIR
Spectroscopy for an Analytical Chemistry Laboratory Course”, Federation of Analytical
Chemistry and Spectroscopy Societies (FACSS), Austin, Texas, 1998.
104. R.L. Green, J.H. Kalivas: “Signal to Noise Assessment of Eigenvectors Based on Cross
Validation”, National Meeting of the American Chemical Society, San Francisco, California,
2000.
105. S.Z. Fairchild, R.L. Green, J.H. Kalivas: “Signal to Noise Assessment of Eigenvectors Based on
Cross Validation”, National Meeting of the American Chemical Society, San Francisco,
California, 2000.
106. J.H. Kalivas, S.Z. Fairchild: “A Better Way to Perform Principal Component Regression”,
International Chemical Congress of Pacific Basin Societies, Honolulu, Hawaii, 2000.
107. J. Clark, J.H. Kalivas: “Potential Application of Ion Mobility for Detection of Adulterated
Perfumes and Plant Speciation”, The Pittsburgh Conference, New Orleans, Louisiana, 2002.
108. K. Anderson, J.H. Kalivas: “Comparison of the Pareto Optimal Modal with PLS for Prediction of
Fetal Lung Maturity Using Amniotic Fluid and Infrared Spectroscopy”, The Pittsburgh
Conference, New Orleans, Louisiana, 2002.
24
109 J.H. Kalivas: “Realizing Work Place Skills in Instrumental Analysis”, National Meeting of the
American Chemical Society, New York, New York, 2003.
110. J.H. Kalivas, H. Seipel: “Determination of Pseudo-Rank and Degrees of Freedom for Multivariate
Calibration”, Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Fort
Lauderdale, Florida, 2003.
111. J.H. Kalivas, J. Forrester: “Using Error information with the L-Curve for Multivariat Calibration”,
Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Fort Lauderdale,
Florida, 2003.
112. J.H. Kalivas, J. Forrester, H. Seipel: “Pareto Optimization of QSAR Date for Model Selection and
Validation”, National Meeting of the American Chemical Society, Anaheim, California, 2004.
113. J. Forrester, J.H. Kalivas: “A Harmonious Approach to the Optimization of Ridge Regression”,
Idaho Academy of Science, Pocatello, Idaho, 2004.
114. H. Seipel, J.H. Kalivas: “Effective Rank for Multivariate Calibration”, Idaho Academy of Science
Pocatello, Idaho, 2004.
115. F.R. Stout, J.H. Kalivas: “Multivariate Spectral Calibration Using Regularization with
Smoothing”, The Pittsburgh Conference, Orlando, Florida, 2005.
116. F.R. Stout, J.H. Kalivas, K. Héberger, O. Farkas: “Determining Essential Molecular Descriptors
For Quantitative Structure Activity Relationship Prediction Models”, International Chemometrics
Conference, CHEMOMETRICS VII, Hungary, 2005.
117. F.R. Stout, J.H. Kalivas: “Tikhonov Regularization with the Vector 1-norm”, Pacifichem 2005
Congress, Honolulu, Hawaii, 2005.
118. F.R. Stout, J.H. Kalivas: “Use of the 1-norm in Pareto Optimization for Wavelength Selection”,
The Pittsburgh Conference, Orlando, Florida, 2006.
119. J.H. Kalivas: “Research Supportive Curriculum with Service Learning in the General Chemistry
Laboratory”, National Meeting of the American Chemical Society, San Francisco, California,
2006.
120. J.H. Kalivas, F.R. Stout: “The Harmony/Parsimony Tradeoff in Multivariate Calibration”,
Federation of Analytical Chemistry and Spectroscopy Societies (FACSS), Orlando, Florida, 2006.
121. P. Forlay-Frick, R. Put, E. Van Gyseghem, J.H. Kalivas, Y. Vander Heyden, and K. Héberger:
“Comparison of Methods for Selection of Dissimilar Reversed-phase HPLC Systems”, The XXXI
Symposium on Chromatographic Methods of Investigating the Organic Compounds, Poland, 2007.
122. J.H. Kalivas, F. Stout, M.R. Baines: “Objective Comparison of Multivariate Calibration Methods”,
Conferentia Chemometrica, Hungary, 2007.
25
123. K. Héberger, J.H. Kalivas: “Similarity and Dissimilarity of C18 (Octadecylsilyl Silica) Columns in
RP-HPLC”, Conferentia Chemometrica, Hungary, 2007.
124. O. Farkas, I.G. Zenkevich, F. Stout, J.H. Kalivas, K. Héberger: “Prediction of Kovats Indicies for
Fatty Acid Methyl Esters. Optimal or Parsimonious Models?”, Conferentia Chemometrica,
Hungary, 2007.
125. J.H. Kalivas, K. Héberger: “Comparison of Methods for Selection of Chromatographic Columns”,
Conference on Chemometrics in Analytical Chemistry, France, 2008.
126. H.C. Goicoechea, G.G. Siano, E. Andries, J.H. Kalivas: “Double Regularization for Temperature
Correction with Tikhonov Regularization. Application to Calibration Transfer”, Conference on
Chemometrics in Analytical Chemistry, France, 2008.
127. B. Cole, J.H. Kalivas: “Calibration Maintenance and Transfer Using Multiple Linear Regression
Based Modeling of New Spectral Variances”, Conferentia Chemometrica, Hungary, 2009.
128. S. B. Cole, J.H. Kalivas: “Calibration Maintenance and Transfer Using Multiple Linear Regression
Based Modeling of New Spectral Variances”, Society of Photo-Optical Instrumentation Engineers
(SPIE) Defense, Security, and Sensing, Orlando, Florida, 2010.
129. J.H. Kalivas, J. Ottaway: “Net Analyte Signal as a Prediction Error Proxy for Multivariate
Calibration”, Society of Photo-Optical Instrumentation Engineers (SPIE) Defense, Security, and
Sensing, Orlando, Florida, 2010.
130. J.H. Kalivas, J.M. Ottaway, M.R. Kunz, E. Andries: “Multiple Uses of Tikhonov Regularization in
Multivariate Calibration”, Society of Photo-Optical Instrumentation Engineers (SPIE) Defense,
Security, and Sensing, Orlando, Florida, 2010.
131. J.M. Ottaway, J.H. Kalivas, E. Andries: “Wavelength Selection for Multivariate Calibration Using
Tikhonov Regularization”, Society of Photo-Optical Instrumentation Engineers (SPIE) Defense,
Security, and Sensing, Orlando, Florida, 2010
132. M. R. Kunz, J.H. Kalivas, E. Andries: “Calibration Maintenance and Transfer with Wavelength
Selection Tikhonov Regularization”, Society of Photo-Optical Instrumentation Engineers (SPIE)
Defense, Security, and Sensing, Orlando, Florida, 2010.
133. J.A. Farrell, K. Higgins, J.H. Kalivas: “Updating a Near-Infrared (NIR) Multivariate Calibration
Model Formed with Lab Prepared Pharmaceutical Tablet Types in Full Production”, Pittcon,
Atlanta, Georgia, 2011.
134. J. Ottaway, J.A. Farrell, J.H. Kalivas: “Spectral Multivariate Calibration Without Reference
Samples via Tikhonov Regularization”, Pittcon, Atlanta, Georgia, 2011.
135. K. Higgins, J.H. Kalivas, C.A. Georgiou: “Using Net Analyte Signal (NAS) to Identify an
Adulterant in Extra Virgin Olive Oil”, Pittcon, Atlanta, Georgia, 2011.
26
136. J.H. Kalivas, M.R. Kunz, J. Ottaway, C.A. Georgiou, G.A. Mousdis: “Updating a Synchronous
Fluorescence Spectroscopic Virgin Olive Oil adulteration Calibration to a New Geographic
Region”, American Oil Chemists Society Annual Meeting and Expo, Cincinnati, Ohio, 2011.
137. K. Higgins, J.H. Kalivas: “Application of Spatial Angular Measurements for Classification
Purposes”, Conferentia Chemometrica, Hungary, 2011.
138. J. Farrell, J. Ottaway, J.H. Kalivas: “Multivariate Calibration by Updating an Analyte Pure
Component Spectrum to the Current Sample Matrix”, Federation of Analytical Chemistry and
Spectroscopy Societies (FACSS), Reno, Nevada, 2011.
139. K. Higgins, J.H. Kalivas: “Model Updating by Adjusting the Model Magnitude”, Federation of
Analytical Chemistry and Spectroscopy Societies (FACSS), Reno, Nevada, 2011.
140. J.H. Kalivas, C.A. Georgiou, M. Mira, I. Tsafaras, G.A. Mousdis, E. Petrakis: “Multivariate
Calibration for Extra Virgin Olive Oil Adulteration without Reference Samples”, Federation of
Analytical Chemistry and Spectroscopy Societies (FACSS), Reno, Nevada, 2011.
141. J.H. Kalivas, K. Higgins: “A New Use of Target Factor Analysis (TFA)”, Eighth Winter
Symposium on Chemometrics, Drakino, Russia, 2012.
142. J.H. Kalivas, K. Higgins, C.A. Georgiou, M. Mira, I. Tsafaras, G.A. Mousdis, E. Petrakis:
“Development of a Spatial Angular Measurement for Extra Virgin Olive Oil Classification
Followed by Multivariate Calibration without Reference Samples”, American Oil Chemists
Society Annual Meeting and Expo, Long Beach, California, 2012.
143. J.A. Farrell, J. Ottaway, J.H. Kalivas: “Multivariate Calibration and Maintenance Using No
Reference Samples”, Council on Undergraduate Research (CUR) Undergraduate Poster Session on
Capitol Hill, Washington DC, 2012.
144. J.H. Kalivas, J. Palmer: “Algorithm Development of the Net Analyte Signal Geometry as a
Prediction Error Proxy for Multivariate Calibration Model Selection”, XIII Chemometrics in
Analytical Chemistry, Budapest, Hungary, 2012.
145. K. Higgins, J.H. Kalivas: “Assessment of Sample Selection Methods for Local Modeling”, SciX
2102, Kansas City, Missouri, 2012.
146. J. Palmer, J.H. Kalivas: “Localized Model Selection for Multivariate Calibration Using Tikhonov
Regularization with Net Analyte Signal”, SciX 2102, Kansas City, Missouri, 2012.
147. T. O’Loughlin, J.H. Kalivas, P. Shahbazikhah: “Multivariate Calibration and Maintenance Using
Principal Component Selection”, SciX 2102, Kansas City, Missouri, 2012.
148. J.H. Kalivas, J.A. Farrell, J. Ottaway: “Calibration and Maintenance without Laboratory Prepared
or Determined Reference Analyte Values”, SciX 2102, Kansas City, Missouri, 2012.
27
149. J.H. Kalivas, E. Andries: “Obtaining Net Analyte Signal Preprocessing Simultaneously with
Calibration using Tikhonov Regularization”, PittCon 2013, Philadelphia, Pennsylvania, 2013.
150. K. Higgins, J.H. Kalivas: “Assessment of a New Similarity Measure for Local Calibration”,
Council on Undergraduate Research (CUR) Undergraduate Poster Session on Capitol Hill,
Washington DC, 2013.
151. J. Palmer, J.H. Kalivas: “Net Analyte Signal Geometry Facilitates Model Selection for
Multivariate Calibration with Ridge Regression and Partial Least Squares”, SciX 2013,
Milwaukee, Wisconsin, 2013.
152. J.H. Kalivas: “An Overview of Tikhonov Regularization Processes for Multivariate Calibration”,
Southwest Analytical Professors Meeting 2014, Phoenix, Arizona.
153. A.J. Tencate, J.H. Kalivas, E. Andries: “Regularization Processes for Combining Roughness and
Smoothing in a Multivariate Calibration Model”, XIV Chemometrics in Analytical Chemistry,
Richmond, Virginia, 2014.
154. B.R. Brownfield, J.H. Kalivas: “Improving Outlier Detection by Fusion of Outlier Detection
Merits Using Sum of Ranking Differences”, XIV Chemometrics in Analytical Chemistry,
Richmond, Virginia, 2014.
155. A.J. Tencate, J.H. Kalivas, E. Andries: “Regularization Processes for Combining Roughness and
Smoothing in a Spectroscopic Multivariate Calibration Model”, SciX 2014, Reno, Nevada.
156. B.R. Brownfield, J.H. Kalivas: “Outlier Detection by Fusion of Multiple X and y Merits Using
Sum of Ranking Differences”, SciX 2014, Reno, Nevada.
157. A.J. White, J.H. Kalivas: “Development of Sum of Ranking Differences (SRD) for Automatic
Selection of Multiple Tuning Parameters in Spectroscopic Multivariate Calibration Maintenance”,
SciX 2014, Reno, Nevada.
158. B.J. Karki, J.H. Kalivas: “Adapting Multivariate Calibration Model to New Spectral
Interferences”, SciX 2014, Reno, Nevada.
159. O.J. Carrillo, J.H. Kalivas: “Localizing a Global Spectroscopic Multivariate Calibration Model”,
SciX 2014, Reno, Nevada.
160. J.H. Kalivas, K. Héberger, E. Andries: “Multivariate Calibration Tuning Parameter Selection by
Sum of Ranking Differences (SRD) with Multiple Merits”, SciX 2014, Reno, Nevada.
161. I. Unobe, J.H. Kalivas, R. Rodriguez, A. Sorensen, L. Lau, J. Davis: “Infrared Thermal Imaging
for Use in Restoration of Defaced Serial Numbers”, International Association for Spectral Imaging
(IASIM), Rome, Italy, December 2014.
28
162. I. Unobe, R. Rodriguez, J.H. Kalivas, A. Sorensen, L. Lau, J. Davis: “Defaced Serial Number
Recovery Using Infrared Thermography”, Association of Firearm and Tool Mark Examiners,
Dallas, Texas, May 2015.
163. B.R. Brownfield, J.H. Kalivas: “Outlier Detection and Quality Control by Fusion of Multiple
Merits”, American Chemical Society Northwest Regional Meeting 2015, Pocatello, Idaho.
164. A.J. Tencate, J.H. Kalivas, E. Andries: “Development and Assessment of Tikhonov Regularization
and PLS to Form Smoothed Multivariate Calibration Models”, American Chemical Society
Northwest Regional Meeting 2015, Pocatello, Idaho.
165. A.J. Tencate, J.H. Kalivas, A.J. White: “Development of Multiple Merit Ranking Methods for
Automatic Selection of Multiple Tuning Parameters in Multivariate Calibration and Maintenance”,
SciX 2015, Providence, Rhode Island, 2015.
166. Kalivas. L. Lau: “Recovery of Defaced Serial Numbers
Using Lock-in Infrared Thermography”, Idaho Academy of Science, Boise, 2016.
167. J.H. Kalivas, J. Ferré, A.J. Tencate: “Selectivity-Relaxed Classical and Inverse Least Squares
Calibration and Selectivity Measures”, Chemometrics in Analytical Chemistry, Barcelona, Spain,
2016.
168. T. Lemos, J.H. Kalivas: “An Ensemble of Multiple Linear Regression Models for Easy
Wavelength Selection”, SciX 2016, Minneapolis, Minnesota, 2016.
169. A. Gurung, J.H. Kalivas, E. Andries: “Regularization Adaption Processes with Labeled and
Unlabeled Data for Multivariate Calibration Maintenance”, SciX 2016, Minneapolis, Minnesota,
2016.
170. W. Spence, J.H. Kalivas: “Reducing Spectral Analyte Prediction Error with Penalties on
Interferents”, SciX 2016, Minneapolis, Minnesota, 2016.
171. A. Gurung, J.H. Kalivas, E.Andries: “Regularization Adaption Processes for Multivariate
Calibration Maintenance”, Idaho Conference on Undergraduate Research, Boise, Idaho, 2016.
http://scholarworks.boisestate.edu/icur/2016/Poster_Session/49/
172. W. Spence, J.H. Kalivas: “Reducing Spectral Analyte Prediction Error with Penalties on
Interferents”, Idaho Conference on Undergraduate Research, Boise, Idaho, 2016.
http://scholarworks.boisestate.edu/icur/2016/Poster_Session/132/
173. I.D. Unobe, R.Rodriguez, A. Sorenson, J. Kalivas, L. Lau: “Potential of Lock-in Infrared
Thermography for the Recovery of Defaced Serial Numbers”, International Congress of
Technology, Management and Social Sciences, Toronto, Canada, 2016.
29
174. I.D. Unobe, R.Rodriguez, J. Kalivas, A. Sorenson, L. Lau: “Recovery and Validation of Defaced
Serial Numbers Using Infrared Thermal Imaging”, Association of Firearm and Tool Mark
Examiners, Denver, Colorado, May 2017.
175. A. Gurung, J.H. Kalivas, E.Andries: “Fine Tuning Model Updating for Multivariate Calibration
Maintenance”, Idaho Conference on Undergraduate Research, Boise, Idaho, 2017.
http://scholarworks.boisestate.edu/icur/2017/Poster_Session/69/
176. T. Lemos, J.H. Kalivas: “Leveraging Multiple Linear Regression for Wavelength Selection”,
Idaho Conference on Undergraduate Research, Boise, Idaho, 2017.
http://scholarworks.boisestate.edu/icur/2017/Poster_Session/100/
177. T. Stokes, M. Foteini, B. Brownfield, J.H. Kalivas, G. Mousdisc, A. Amined, C. Georgioub:
“Fusion of Synchronous Fluorescence Spectra with Application to Argan Oil for Adulteration
Analysis”, Idaho Conference on Undergraduate Research, Boise, Idaho, 2017.
http://scholarworks.boisestate.edu/icur/2017/Poster_Session/185/
178. J. Kalivas, B. Brownfield: “Rethinking the Classification Process with Data Fusion”, SciX 2017,
Reno, Nevada, 2017.
179. T. Lemos, J. Kalivas: “Leveraging Multiple Linear Regression for Wavelength Selection”, SciX
2017, Reno, Nevada, 2017.
180. A. Gurung, J. Kalivas, E. Andries: “Fine Tuning Model Updating for Multivariate Calibration
Maintenance”, SciX 2017, Reno, Nevada, 2017.
181. J.H. Kalivas, I.D. Unobe, R.Rodriguez, A. Sorenson, L. Lau: “Non-Destructive Identification of
Defaced Serial Numbers on Metal Surfaces”, International Caparica Conference in Translational
Forensics 2017, Caparica-Lisbon, Portugal, November 2017.
182. J. Kalivas, B. Brownfield, T. Lemos: “Consensus Classification Using Non-Optimized Models”,
Society of Western Analytical Professors Annual Meeting, Seattle, Washington, January 2018.
183. I.D. Unobe, L. Lau, R.Rodriguez, J. Kalivas, A. Sorenson: “Recovery of Defaced Serial Numbers
Using Lock-In Thermography”, PittCon, Orlando, Florida, February - March 2018.
184. E. Andries, J.H. Kalivas, A. Gurung: “Transductive Calibration Updating”, Chemometrics in
Analytical Chemistry, Halifax, Canada, June 2018.
185. T. Lemos, J.H. Kalivas: “Classification Using Sum of Ranking Differences of Outlier Measures”,
Idaho Conference on Undergraduate Research, Boise, Idaho, 2018.
https://scholarworks.boisestate.edu/icur/2018/Poster_Session/164/
186. B. Chabuka, J.H. Kalivas: “Raman Spectroscopy and Fusion Classification to
Identify Plastic Recyclables Targeting Microplastics”, Idaho Conference on Undergraduate
Research, Boise, Idaho, 2018. https://scholarworks.boisestate.edu/icur/2018/Poster_Session/24/
30
187. J.H. Kalivas, R. Emerson, T. Lemos: “Assessing the Degree of a Sample Matrix Match
(Chemically, Physically, and Instrumentally) to a Calibration Set”, SciX 2018, Atlanta, Georgia,
2018.
188. T. Lemos, J.H. Kalivas: “One-Class Classification using Sum of Ranking Differences of Outlier
Measures with Application to Food Authentication”, SciX 2018, Atlanta, Georgia, 2018.
189. T. Lemos, J.H. Kalivas: “Enhanced Food Authentication with Data Fusion Processes”, SciX 2018,
Atlanta, Georgia, 2018.
190. J.H. Kalivas, T. Lemos: “Transforming the Classification Process with Data Fusion of Non-
Optimized Classifiers”, Pittcon, Philadelphia, Pennsylvania, March 2019.
191. E. Andries, J.H. Kalivas: “Calibration Updating Using Unlabeled Secondary Samples”,
Scandinavian Symposium on Chemometrics (SSC16), Oslo, Norway, 2019.
192. C. Norby, J.H. Kalivas: “Fusion of Similarity Measures to Characterize Differences in Sample
Spectral Matrix Effects”, American Chemical Society Northwest Regional Meeting 2019,
Portland, Oregon.
193. C. Norby, J.H. Kalivas: “Fusion of Similarity Measures to Characterize Differences in Sample
Matrix Effects”, Idaho Conference on Undergraduate Research, Boise, Idaho, 2019.
https://scholarworks.boisestate.edu/icur/2019/Poster_Session/100/
194. R. Spiers, J.H. Kalivas: “Harnessing Model Diversity and Prediction Similarity for Selecting
Multivariate Calibration Tuning Parameters”, Idaho Conference on Undergraduate Research,
Boise, Idaho, 2019. https://scholarworks.boisestate.edu/icur/2019/Poster_Session/135/
195. R. Spiers, J.H. Kalivas, “Using Model Diversity and Prediction Similarities of Unlabeled Samples
for Model Selection of Multivariate Calibration Updating Methods”, SciX 2019, Palm Springs,
Calif., 2019.
196. C. Norby, J.H. Kalivas, “Fusion of Similarity Measures as an Indicator of Spectral Uniqueness
(ISU) to Characterize Differences in Sample Matrix Effects”, SciX 2019, Palm Springs, Calif.,
2019.
197. A. Pahlavan, S. Khodadadi, J. Kalivas, H. Abdollahi, “Local Calibration Using Multivariate Curve
Resolution Methods”, SciX 2019, Palm Springs, Calif., 2019.
198. R.Spiers, J.H. Kalivas, “Multivariate Calibration Domain Adaptation with Unlabeled Data”, Idaho
Conference on Undergraduate Research (on-line), Boise, Idaho, 2020.
199. R. Spiers, J.H. Kalivas, “Model Updating and Selection Frameworks without Reference Values
(Calibration Standards)”, Selected for Broadcast Session. National Meeting of the American
Chemical Society (on-line), San Francisco, California, 2020.