Conferentia Chemometrica 2017
September 03-06, 2017, Gyöngyös-Farkasmály


Invited Lecturers (with tentative titles)

Richard Brereton (England) - Partial least squares discriminant analysis for chemometrics and metabolomics: how scores, loadings, and weights differ according to the algorithm
Michal Daszykowski (Poland) - Monte Carlo validation of classification/discrimination models
Kim H. Esbensen (Denmark) - Process Monitoring and Control - Chemometrics: TOS variography
Paul Haddad (Tasmania) - Prediction of chromatographic retention times based only on chemical structures of analytes
Behram Hemmateenejad (Iran) - Screening for linearly and nonlinearly correlated variables in cheminformatics modeling
John H. Kalivas (USA) - Reducing Ambiguity in Outlier Detection, Classification, and Forensics Image Analysis with Data Fusion
Dmitry Kirsanov (Russia) - Chemometrics for electronic tongue data processing
Łukasz Kubik (Poland) - Determination of QSRRs with Bayesian Statistics
Olav Martin Kvalheim (Norway) - Monte Carlo cross-validation for component selection and determination of prediction error in latent-variable regression
Federico Marini (Italy) - Chemometric modeling for traceability of apples cultivated in the Northeast Italy
Marjana Nović (Slovenia) - Antibacterial drug design – inhibition of peptidoglycan metabolising enzymes
Kunal Roy (India) - Towards more precise predictions for external set compounds from multiple QSAR models
Ivana Stanimirova-Daszykowska (Poland) - A modified weighted mixture model for the interpretation of compositional data
Beata Strzemiecka (Poland) - Chemometric evalu-ation of physicochemical characteristic of meso-porous materials
Roberto Todeschini (Italy) - Chemometrics and ligand-based virtual screening: a new approach
Adam Voelkel (Poland) - Application of solubility parameters in chromatography
Igor G. Zenkevich (Russia) - Features of averaging the arguments in chemical relationships. Application of additional standards for chromatographic quantification