Conferentia Chemometrica 2019
September 08-12, 2019, Karcag

Confirmed speakers

Tomasz Baczek (Poland): Assessment of amino acids’ variability in plasma, cerebrospinal fluid and exhaled breath condensates in pediatric leukemia patients
Knut Baumann (Germany): Multivariate regression analysis of censored data
Thomas Wilhelm Bocklitz (Germany): Chemometrics and machine learning for the analysis of Raman-related data
Richard Brereton (England): Use and misuse of p- values for multivariate pattern recognition
Michał Daszykowski, Ł. Pieszczek (Poland): Spatial advantage of hyperspectral imaging and the construction of rigorous classifiers
Ludovic Duponchel (France): Hyperspectral data cubes exploration using pixels resampling: The randomized Kennard and Stone approach
Bahram Hemmateenejad (Iran): Improved rank estimation using randomization and dependency
John H. Kalivas (USA): Identifying matrix matched samples by exploiting the regression vector for local spectral calibration diligence
Olav Martin Kvalheim (Norway): What is the best measure(s) for variable importance and how can it be utilized for variable selection?
Federico Marini (Italy): Class modeling approaches for single and multiple blocks of data
Marjana Nović (Slovenia): PgP transport activity - in connection to the efflux of toxicants or drugs
Cyril Ruckebusch (France) Image processing constraints in MCR-ALS of hyperspectral data
Age Smilde (The Netherlands): Numerical representations of metabolic systems
Ivana Stanimirova (Poland): Uncertainty SIMCA – A classification method that includes measurement uncertainty information
Roberto Todeschini (Italy): Deep Ranking Analysis by Kendall Eigenvectors (DRAKE): a wizard to ranking and multi-criteria decision making
Adam Voelkel (Poland): Chemometric support in physicochemical evaluation of industrial materials
Igor G. Zenkevich (Russia): Physicochemical Properties of Simplest Homologues using Recurrent Relations