Application of artificial neural networks and DFT-based parameters for prediction of reaction kinetics of ethylbenzene dehydrogenase. - Maciej Szaleniec; Malgorzata Witko; Ryszard Tadeusiewicz; Jakub Goclon (J. Comput. Aided Mol. Des., 2006)

How to select an optimal neural model of chemical reactivity? - Maciej Szaleniec; Ryszard Tadeusiewicz; Malgorzata Witko (Neurocomputing, 2008)

Prediction of white cabbage (Brassica oleracea var. capitata) self-incompatibility based on neural network and discriminant analysis of complex electrophoretic patterns. - Piotr Waligórski; Maciej Szaleniec (Comput. Biol. Chem., 2010)

Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients. - Joanna Szaleniec; Maciej Wiatr; Maciej Szaleniec; Jacek Skladzien; Jerzy Tomik; Krzysztof Oles; Ryszard Tadeusiewicz (Comput. Biol. Medicine, 2013)

A stepwise protocol for neural network modeling of persistent postoperative facial pain in chronic rhinosinusitis. - Joanna Szaleniec; Maciej Szaleniec; Pawel Strek (Bio Algorithms Med Syst., 2016)

DFT-based prediction of reactivity of short-chain alcohol dehydrogenase. - Iwona Stawoska; A. Dudzik; M. Wasylewski; M. Jemiola-Rzeminska; Andrzej Skoczowski; K. Strzalka; Maciej Szaleniec (J. Comput. Aided Mol. Des., 2017)