Exhaustive QSPR Studies of a Large Diverse Set of Ionic Liquids: How Accurately Can We Predict Melting Points? - Alexandre Varnek; Natalia V. Kireeva; Igor V. Tetko; Igor I. Baskin; Vitaly P. Solov'ev (J. Chem. Inf. Model., 2007)

Impact of distance-based metric learning on classification and visualization model performance and structure-activity landscapes. - Natalia V. Kireeva; Svetlana I. Ovchinnikova; Sergey L. Kuznetsov; Andrey M. Kazennov; Aslan Yu. Tsivadze (J. Comput. Aided Mol. Des., 2014)

Supervised extensions of chemography approaches: case studies of chemical liabilities assessment. - Svetlana I. Ovchinnikova; Arseniy A. Bykov; Aslan Yu. Tsivadze; Evgeny P. Dyachkov; Natalia V. Kireeva (J. Cheminformatics, 2014)