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Hamse Y Mussa

Showing results (1-10 of 19) with videos related to

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IEEE Transactions on Neural Networks|March 3, 2010
Memory-efficient fully coupled filtering approach for observational model buildingHamse Y Mussa, Robert C Glen
Journal of Biomolecular Screening|September 20, 2005
Screening for dihydrofolate reductase inhibitors using MOLPRINT 2D, a fast fragment-based method employing the naïve Bayesian classifier: limitations of the descriptor and the importance of balanced chemistry in training and test setsAndreas Bender, Hamse Y Mussa, Robert C Glen
Journal of Chemical Information and Modeling|August 21, 2012
Note on naive Bayes based on binary descriptors in cheminformaticsJoe A Townsend, Robert C Glen, Hamse Y Mussa
Journal of Cheminformatics|August 24, 2013
Full "Laplacianised" posterior naive Bayesian algorithmHamse Y Mussa, John Bo Mitchell, Robert C Glen
Journal of Chemical Information and Computer Sciences|January 27, 2004
Molecular similarity searching using atom environments, information-based feature selection, and a naïve Bayesian classifierAndreas Bender, Hamse Y Mussa, Robert C Glen, et al.
Journal of Cheminformatics|December 3, 2015
A note on utilising binary features as ligand descriptorsHamse Y Mussa, John B O Mitchell, Robert C Glen
Journal of Chemical Information and Modeling|December 16, 2010
Classifying large chemical data sets: using a regularized potential function methodHamse Y Mussa, Lezan Hawizy, Florian Nigsch, et al.
Pattern Recognition Letters|October 6, 2015
The Parzen Window method: In terms of two vectors and one matrixHamse Y Mussa, John B O Mitchell, Avid M Afzal
BMC Research Notes|December 5, 2015
Enzyme mechanism prediction: a template matching problem on InterPro signature subspacesHamse Y Mussa, Luna De Ferrari, John B O Mitchell
Journal of Chemical Information and Computer Sciences|September 28, 2004
Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performanceAndreas Bender, Hamse Y Mussa, Robert C Glen, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|March 3, 2010
Memory-efficient fully coupled filtering approach for observational model buildingHamse Y Mussa, Robert C Glen
Journal of Biomolecular Screening|September 20, 2005
Screening for dihydrofolate reductase inhibitors using MOLPRINT 2D, a fast fragment-based method employing the naïve Bayesian classifier: limitations of the descriptor and the importance of balanced chemistry in training and test setsAndreas Bender, Hamse Y Mussa, Robert C Glen
Journal of Chemical Information and Modeling|August 21, 2012
Note on naive Bayes based on binary descriptors in cheminformaticsJoe A Townsend, Robert C Glen, Hamse Y Mussa
Journal of Cheminformatics|August 24, 2013
Full "Laplacianised" posterior naive Bayesian algorithmHamse Y Mussa, John Bo Mitchell, Robert C Glen
Journal of Chemical Information and Computer Sciences|January 27, 2004
Molecular similarity searching using atom environments, information-based feature selection, and a naïve Bayesian classifierAndreas Bender, Hamse Y Mussa, Robert C Glen, et al.
Journal of Cheminformatics|December 3, 2015
A note on utilising binary features as ligand descriptorsHamse Y Mussa, John B O Mitchell, Robert C Glen
Journal of Chemical Information and Modeling|December 16, 2010
Classifying large chemical data sets: using a regularized potential function methodHamse Y Mussa, Lezan Hawizy, Florian Nigsch, et al.
Pattern Recognition Letters|October 6, 2015
The Parzen Window method: In terms of two vectors and one matrixHamse Y Mussa, John B O Mitchell, Avid M Afzal
BMC Research Notes|December 5, 2015
Enzyme mechanism prediction: a template matching problem on InterPro signature subspacesHamse Y Mussa, Luna De Ferrari, John B O Mitchell
Journal of Chemical Information and Computer Sciences|September 28, 2004
Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performanceAndreas Bender, Hamse Y Mussa, Robert C Glen, et al.
Pageof 2