Hamse Y. Mussa

According to our database, Hamse Y. Mussa authored at least 19 papers between 2004 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2015

The Parzen Window method: In terms of two vectors and one matrix.

Hamse Y. Mussa, John B. O. Mitchell, Avid M. Afzal

Pattern Recognit. Lett., 2015

Verifying the fully "Laplacianised" posterior Naïve Bayesian approach and more.

Hamse Y. Mussa, David Marcus, John B. O. Mitchell, Robert C. Glen

J. Cheminformatics, 2015

A note on utilising binary features as ligand descriptors.

Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen

J. Cheminformatics, 2015

A multi-label approach to target prediction taking ligand promiscuity into account.

Avid M. Afzal, Hamse Y. Mussa, Richard E. Turner, Andreas Bender, Robert C. Glen

J. Cheminformatics, 2015

2014

Erratum for "In Silico Target Predictions: Defining a Benchmarking Data Set and Comparison of Performance of the Multiclass Naı̈ve Bayes and Parzen-Rosenblatt Window".

Alexios Koutsoukas, Robert Lowe, Yasaman KalantarMotamedi, Hamse Y. Mussa, Werner Klaffke, John B. O. Mitchell, Robert C. Glen, Andreas Bender

J. Chem. Inf. Model., 2014

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers.

Jonathan D. Tyzack, Hamse Y. Mussa, Mark J. Williamson, Johannes Kirchmair, Robert C. Glen

J. Cheminformatics, 2014

Target Fishing: A Single-Label or Multi-Label Problem?

Avid M. Afzal, Hamse Y. Mussa, Richard E. Turner, Andreas Bender, Robert C. Glen

CoRR, 2014

2013

In Silico Target Predictions: Defining a Benchmarking Data Set and Comparison of Performance of the Multiclass Naïve Bayes and Parzen-Rosenblatt Window.

Alexios Koutsoukas, Robert Lowe, Yasaman KalantarMotamedi, Hamse Y. Mussa, Werner Klaffke, John B. O. Mitchell, Robert C. Glen, Andreas Bender

J. Chem. Inf. Model., 2013

Full "Laplacianised" posterior naive Bayesian algorithm.

Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen

J. Cheminformatics, 2013

2012

Note on Naive Bayes Based on Binary Descriptors in Cheminformatics.

Joe Townsend, Robert C. Glen, Hamse Y. Mussa

J. Chem. Inf. Model., 2012

Probabilistic classifier: generated using randomised sub-sampling of the feature space.

Jonathan D. Tyzack, Hamse Y. Mussa, Robert C. Glen

J. Cheminformatics, 2012

Predicting the mechanism of phospholipidosis.

Robert Lowe, Hamse Y. Mussa, Florian Nigsch, Robert C. Glen, John B. O. Mitchell

J. Cheminformatics, 2012

2011

Classifying Large Chemical Data Sets: Using A Regularized Potential Function Method.

Hamse Y. Mussa, Lezan Hawizy, Florian Nigsch, Robert C. Glen

J. Chem. Inf. Model., 2011

Classifying Molecules Using a Sparse Probabilistic Kernel Binary Classifier.

Robert Lowe, Hamse Y. Mussa, John B. O. Mitchell, Robert C. Glen

J. Chem. Inf. Model., 2011

2010

Memory-efficient fully coupled filtering approach for observational model building.

Hamse Y. Mussa, Robert C. Glen

IEEE Trans. Neural Networks, 2010

2006

Building Structure-Property Predictive Models Using Data Assimilation.

Hamse Y. Mussa, David J. Lary, Robert C. Glen

Proceedings of the Computational Life Sciences II, 2006

2004

Similarity Searching of Chemical Databases Using Atom Environment Descriptors (MOLPRINT 2D): Evaluation of Performance.

Andreas Bender, Hamse Y. Mussa, Robert C. Glen, Stephan Reiling

J. Chem. Inf. Model., 2004

Molecular Similarity Searching Using Atom Environments, Information-Based Feature Selection, and a Naïve Bayesian Classifier.

Andreas Bender, Hamse Y. Mussa, Robert C. Glen, Stephan Reiling

J. Chem. Inf. Model., 2004

Molecular surface point environments for virtual screening and the elucidation of binding patterns (MOLPRINT).

Andreas Bender, Hamse Y. Mussa, Gurprem S. Gill, Robert C. Glen

Proceedings of the IEEE International Conference on Systems, 2004