Items where Author is "Afantitis, Antreas"

Melagraki, Georgia and Sopasakis, Pantelis and Afantitis, Antreas and Sarimveis, Haralambos Consensus QSAR modeling and domain of applicability: an integrated approach. In: 18th European Symposium on Quantitative Structure-Activity Relationships (EuroQSAR 2010, September 19–24, 2010, Rhodes, Greece (Unpublished) (2010)

Hardy, Barry and Douglas, Nicki and Helma, Christoph and Rautenberg, Micha and Jeliazkova, Nina and Jeliazkov, Vedrin and Nikolova, Ivelina and Benigni, Romualdo and Tcheremenskaia, Olga and Kramer, Stefan and Girschick, Tobias and Buchwald, Fabian and Wicker, Joerg and Karwath, Andreas and Gutlein, Martin and Maunz, Andreas and Sarimveis, Haralambos and Melagraki, Georgia and Afantitis, Antreas and Sopasakis, Pantelis and Gallagher, David and Poroikov, Vladimir and Filimonov, Dmitry and Zakharov, Alexey and Lagunin, Alexey and Gloriozova, Tatyana and Novikov, Sergey and Skvortsova, Natalia and Druzhilovsky, Dmitry and Chawla, Sunil and Ghosh, Indira and Ray, Surajit and Patel, Hitesh and Escher, Sylvia Collaborative development of predictive toxicology applications. Journal of Cheminformatics, 2 (1). p. 7. ISSN 1758-2946 (2010)

Sarimveis, Haralambos and Sopasakis, Pantelis and Afantitis, Antreas and Melagraki, Georgia A Model Predictive Control Approach for Optimal Drug Administration. In: Chemical Engineering Transactions, Series. AIDIC, pp. 1311-1316. ISBN 978-88-95608-01-3 (2009)

Patrinos, Panagiotis and Alexandridis, Alex and Afantitis, Antreas and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga Development of nonlinear quantitative structure-activity relationships using RBF networks and evolutionary computing. In: European Symposium on Computer Aided Process Engineering, ESCAPE14, 16th-19th May 2004, Lisbon, Portugal (Unpublished) (2004)

Makridima, Kalliopi and Afantitis, Antreas and Melagraki, Georgia and Patrinos, Panagiotis and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga Using the Radial Basis Function (RBF) neural network architecture to develop QSARs for the prediction of the toxicity of phenols in Tetrahymena pyriformis. In: 11th International Workshop on Quantitative Structure-Activity Relationships in Environmental Sciences (QSAR 2004), 9th-13th May 2004, Liverpool, UK (Unpublished) (2004)