Items where Author is "Igglesi-Markopoulou, Olga"
Number of items: 11. AfPatrinos, 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 In: European Symposium on Computer Aided Process Engineering, ESCAPE14, 16th-19th May 2004, Lisbon, Portugal (Unpublished) (2004) Makridima, Kalliopi and Afantitis, Antreas and Melagraki, Georgia and Patrinos, Panagiotis and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga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Quantitative Structure-Activity Relationships in Environmental Sciences (QSAR 2004), 9th-13th May 2004, Liverpool, UK (Unpublished) (2004) AlPatrinos, Panagiotis and Alexandridis, Alex and Afantitis, Antreas and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga Development of nonlinear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 In: European Symposium on Computer Aided Process Engineering, ESCAPE14, 16th-19th May 2004, Lisbon, Portugal (Unpublished) (2004) IgPatrinos, Panagiotis and Alexandridis, Alex and Afantitis, Antreas and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga Development of nonlinear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 In: European Symposium on Computer Aided Process Engineering, ESCAPE14, 16th-19th May 2004, Lisbon, Portugal (Unpublished) (2004) Makridima, Kalliopi and Afantitis, Antreas and Melagraki, Georgia and Patrinos, Panagiotis and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga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Quantitative Structure-Activity Relationships in Environmental Sciences (QSAR 2004), 9th-13th May 2004, Liverpool, UK (Unpublished) (2004) MaMakridima, Kalliopi and Afantitis, Antreas and Melagraki, Georgia and Patrinos, Panagiotis and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga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) MeMakridima, 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) PaPatrinos, 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) SaPatrinos, 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) |
