Peter Jurs
Awards & Achievements:
2009 - Fellow of the American Chemical Society
1986 - Fellow of the American Association for the Advancement of Science (AAAS):
Research:
His primary scientific interests are in Artificial neural network, Artificial intelligence, Linear regression, Quantitative structure–activity relationship and Set. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His work in the fields of Pattern recognition, such as Pattern recognition, intersects with other areas such as Learning vector quantization neural network.
His Linear regression study combines topics in areas such as Kovats retention index, Property, Chromatography, Regression analysis and Data set. His Quantitative structure–activity relationship research incorporates elements of Data mining, Root-mean-square deviation and Aqueous solution, Henry's law. His Set research includes themes of Optical fiber, Biological system, Analyte and Molecular geometry.
Publications:
Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies
David T. Stanton;Peter C. Jurs.
Analytical Chemistry (1990)
826 Citations
Computational methods for the analysis of chemical sensor array data from volatile analytes.
P C Jurs;G A Bakken;H E McClelland.
Chemical Reviews (2000)
680 Citations
Prediction of human intestinal absorption of drug compounds from molecular structure.
Matthew D. Wessel;Peter C. Jurs;John W. Tolan;Steven M. Muskal.
Journal of Chemical Information and Computer Sciences (1998)
411 Citations
Descriptions of molecular shape applied in studies of structure/activity and structure/property relationships
Robert H. Rohrbaugh;Peter C. Jurs.
Analytica Chimica Acta (1987)
278 Citations
Automated Descriptor Selection for Quantitative Structure-Activity Relationships Using Generalized Simulated Annealing
Jon M. Sutter;Steven L. Dixon;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1995)
247 Citations
Detection of hazardous vapors including mixtures using pattern recognition analysis of responses from surface acoustic wave devices
Susan L. Rose-Pehrsson;Jay W. Grate;David S. Ballantine;Peter C. Jurs.
Analytical Chemistry (1988)
232 Citations
Computerized learning machines applied to chemical problems. Molecular formula determination from low resolution mass spectrometry
P. C. Jurs;B. R. Kowalski;Thomas L. Isenhour.
Analytical Chemistry (1969)
198 Citations
Detection of hazardous gases and vapors: pattern recognition analysis of data from an electrochemical sensor array
Joseph R. Stetter;Peter C. Jurs;Susan L. Rose.
Analytical Chemistry (1986)
192 Citations
Computer-Assisted Computation of Partition Coefficients from Molecular Structures Using Fragment Constants
J. T. Chou;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1979)
186 Citations
Prediction of Aqueous Solubility of Organic Compounds from Molecular Structure
Brooke E. Mitchell;Peter C. Jurs.
Journal of Chemical Information and Computer Sciences (1998)
170 Citations