Hamse Y. Mussa

19 papers Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	A multi-label approach to target prediction taking ligand promiscuity into account. J. Cheminformatics Avid M. Afzal, Hamse Y. Mussa, Richard E. Turner, Andreas Bender, Robert C. Glen
2015	J	`jnl`	A note on utilising binary features as ligand descriptors. J. Cheminformatics Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen
2015	J	`jnl`	The Parzen Window method: In terms of two vectors and one matrix. Pattern Recognit. Lett. Hamse Y. Mussa, John B. O. Mitchell, Avid M. Afzal
2015	J	`jnl`	Verifying the fully "Laplacianised" posterior Naïve Bayesian approach and more. J. Cheminformatics Hamse Y. Mussa, David Marcus, John B. O. Mitchell, Robert C. Glen
2014	J	`jnl`	Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers. J. Cheminformatics Jonathan D. Tyzack, Hamse Y. Mussa, Mark J. Williamson, Johannes Kirchmair, Robert C. Glen
2014	J	`jnl`	Erratum for "In Silico Target Predictions: Defining a Benchmarking Data Set and Comparison of Performance of the Multiclass Naı̈ve Bayes and Parzen-Rosenblatt Window". J. Chem. Inf. Model. Alexios Koutsoukas, Robert Lowe, Yasaman KalantarMotamedi, Hamse Y. Mussa, Werner Klaffke, John B. O. Mitchell, Robert C. Glen, Andreas Bender
2014	J	`jnl`	Target Fishing: A Single-Label or Multi-Label Problem? CoRR Avid M. Afzal, Hamse Y. Mussa, Richard E. Turner, Andreas Bender, Robert C. Glen
2013	J	`jnl`	Full "Laplacianised" posterior naive Bayesian algorithm. J. Cheminformatics Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen
2013	J	`jnl`	In Silico Target Predictions: Defining a Benchmarking Data Set and Comparison of Performance of the Multiclass Naïve Bayes and Parzen-Rosenblatt Window. J. Chem. Inf. Model. Alexios Koutsoukas, Robert Lowe, Yasaman KalantarMotamedi, Hamse Y. Mussa, Werner Klaffke, John B. O. Mitchell, Robert C. Glen, Andreas Bender
2012	J	`jnl`	Note on Naive Bayes Based on Binary Descriptors in Cheminformatics. J. Chem. Inf. Model. Joe Townsend, Robert C. Glen, Hamse Y. Mussa
2012	J	`jnl`	Predicting the mechanism of phospholipidosis. J. Cheminformatics Robert Lowe, Hamse Y. Mussa, Florian Nigsch, Robert C. Glen, John B. O. Mitchell
2012	J	`jnl`	Probabilistic classifier: generated using randomised sub-sampling of the feature space. J. Cheminformatics Jonathan D. Tyzack, Hamse Y. Mussa, Robert C. Glen
2011	J	`jnl`	Classifying Large Chemical Data Sets: Using A Regularized Potential Function Method. J. Chem. Inf. Model. Hamse Y. Mussa, Lezan Hawizy, Florian Nigsch, Robert C. Glen
2011	J	`jnl`	Classifying Molecules Using a Sparse Probabilistic Kernel Binary Classifier. J. Chem. Inf. Model. Robert Lowe, Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen
2010	J	`jnl`	Memory-efficient fully coupled filtering approach for observational model building. IEEE Trans. Neural Networks Hamse Y. Mussa, Robert C. Glen
2006	—	`conf`	Building Structure-Property Predictive Models Using Data Assimilation. CompLife Hamse Y. Mussa, David John Lary, Robert C. Glen
2004	J	`jnl`	Molecular Similarity Searching Using Atom Environments, Information-Based Feature Selection, and a Naïve Bayesian Classifier. J. Chem. Inf. Model. Andreas Bender, Hamse Y. Mussa, Robert C. Glen, Stephan Reiling
2004	—	`conf`	Molecular surface point environments for virtual screening and the elucidation of binding patterns (MOLPRINT). SMC (5) Andreas Bender, Hamse Y. Mussa, Gurprem S. Gill, Robert C. Glen
2004	J	`jnl`	Similarity Searching of Chemical Databases Using Atom Environment Descriptors (MOLPRINT 2D): Evaluation of Performance. J. Chem. Inf. Model. Andreas Bender, Hamse Y. Mussa, Robert C. Glen, Stephan Reiling