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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Design of experiments Engineering & Materials Science
Logistics Engineering & Materials Science
Sieves Engineering & Materials Science
Fragrances Engineering & Materials Science
Statistics Engineering & Materials Science
Degradation Engineering & Materials Science
Monitoring Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 2012 2019

  • 9 Citations
  • 1 h-Index
  • 6 Article
  • 1 Conference contribution

Comparing D-optimal designs with common mixture experimental designs for logistic regression

Mancenido, M., Pan, R., Montgomery, D. & Anderson-Cook, C. M., Apr 15 2019, In : Chemometrics and Intelligent Laboratory Systems. 187, p. 11-18 8 p.

Research output: Contribution to journalArticle

Design of experiments
Logistics
Optimal design
Experiments

Application of 3D Imaging Technology to Latent Fingermark Aging Studies

De Alcaraz-Fossoul, J., Mancenido, M., Soignard, E. & Silverman, N., Jan 1 2018, (Accepted/In press) In : Journal of Forensic Sciences.

Research output: Contribution to journalArticle

Technology
Optical Imaging
1 Citation (Scopus)

Ridge Width Correlations between Inked Prints and Powdered Latent Fingerprints

De Alcaraz-Fossoul, J., Barrot-Feixat, C., Zapico, S. C., Mancenido, M., Broatch, J., Roberts, K. A., Carreras-Marin, C. & Tasker, J., Jul 1 2018, In : Journal of Forensic Sciences. 63, 4, p. 1085-1091 7 p.

Research output: Contribution to journalArticle

Dermatoglyphics
Law Enforcement
Crime
Databases

Separation in D-optimal experimental designs for the logistic regression model

Park, A. R., Mancenido, M. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.

Research output: Contribution to journalArticle

Design of experiments
Logistics
Maximum likelihood estimation
Experimental design
Logistic regression model
1 Citation (Scopus)

Analysis of subjective ordinal responses in mixture experiments

Mancenido, M., Pan, R. & Montgomery, D., Jan 1 2016, In : Journal of Quality Technology. 48, 2, p. 196-208 13 p.

Research output: Contribution to journalArticle

Fragrances
Experiments
Experiment
Stereotypes
Modeling

Projects 2017 2020