Jerzy Krysiński

Application of artificial neural networks to prediction of new substances with antimicrobial activity against Escherichia coli

Anna Badura, Jerzy Krysiński, Alicja Nowaczyk, 2020, Journal of applied microbiology.

Artificial neural networks approach to early lung cancer detection

Jerzy Krysiński, Adam Buciński, Michał Piotr Marszałł, 2014 .

Antimicrobial Activity and SAR Study of New Gemini Imidazolium‐Based Chlorides

Roman Słowiński, Jerzy Krysiński, Andrzej Skrzypczak, 2014, Chemical biology & drug design.

Clinical data analysis using artificial neural networks (ANN) and principal component analysis (PCA) of patients with breast cancer after mastectomy

Jerzy Krysiński, Adam Buciński, Tomasz Bączek, 2007 .

Application of the Rough Set Theory in Structure Activity Relationships of Antielectrostatic Imidazolium Compounds

Bartlomiej Predki, Jerzy Krysiński, Andrzej Skrzypczak, 2001 .

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans.

Jerzy Krysiński, Alicja Nowaczyk, Adam Buciński, 2009, Journal of microbiological methods.

Optimization of pellets manufacturing process using rough set theory

Roman Słowiński, Jerzy Krysiński, Peter Kleinebudde, 2018, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Prediction of Antifungal Activity of Gemini Imidazolium Compounds

Roman Słowiński, Jerzy Krysiński, Alicja Nowaczyk, 2015, BioMed research international.

A data mining approach to optimize pellets manufacturing process based on a decision tree algorithm.

Jerzy Krysiński, Peter Kleinebudde, Markus Thommes, 2015, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.