Using Generalization Error Bounds to Train the Set Covering Machine. - Zakria Hussain; John Shawe-Taylor (ICONIP (1), 2007)

Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data. - Zakria Hussain; François Laviolette; Mario Marchand; John Shawe-Taylor; S. Charles Brubaker; Matthew D. Mullin (J. Mach. Learn. Res., 2007)

Theory of matching pursuit. - Zakria Hussain; John Shawe-Taylor (NIPS, 2008)

Kernel Polytope Faces Pursuit. - Tom Diethe; Zakria Hussain (ECML/PKDD (1), 2009)

Matching Pursuit Kernel Fisher Discriminant Analysis. - Tom Diethe; Zakria Hussain; David R. Hardoon; John Shawe-Taylor (AISTATS, 2009)

Learning relevant eye movement feature spaces across users. - Zakria Hussain; Kitsuchart Pasupa; John Shawe-Taylor (ETRA, 2010)

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. - Zakria Hussain; Alex Po Leung; Kitsuchart Pasupa; David R. Hardoon; Peter Auer; John Shawe-Taylor (ECML/PKDD (1), 2010)

Pinview: Implicit Feedback in Content-Based Image Retrieval. - Peter Auer; Zakria Hussain; Samuel Kaski; Arto Klami; Jussi Kujala; Jorma Laaksonen; Alex Po Leung; Kitsuchart Pasupa; John Shawe-Taylor (WAPA, 2010)

Multiple Kernel Learning on the Limit Order Book. - Tristan Fletcher; Zakria Hussain; John Shawe-Taylor (WAPA, 2010)

Prediction with the SVM Using Test Point Margins. - Süreyya Özögür-Akyüz; Zakria Hussain; John Shawe-Taylor (Data Mining, 2010)

A Note on Improved Loss Bounds for Multiple Kernel Learning - Zakria Hussain; John Shawe-Taylor (CoRR, 2011)

Improved Loss Bounds For Multiple Kernel Learning. - Zakria Hussain; John Shawe-Taylor (AISTATS, 2011)

Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms. - Zakria Hussain; John Shawe-Taylor; David R. Hardoon; Charanpal Dhanjal (IEEE Trans. Inf. Theory, 2011)

Drug screening with Elastic-net multiple kernel learning. - Kitsuchart Pasupa; Zakria Hussain; John Shawe-Taylor; Peter Willett 002 (BIBE, 2013)

Manifold-preserving graph reduction for sparse semi-supervised learning. - Shiliang Sun; Zakria Hussain; John Shawe-Taylor (Neurocomputing, 2014)