A generative-discriminative hybrid for sequential data classification [image classification example]. - Karim T. Abou-Moustafa; Ching Y. Suen; Mohamed Cheriet (ICASSP (5), 2004)

Classification of time-series data using a generative/discriminative hybrid. - Karim T. Abou-Moustafa; Mohamed Cheriet; Ching Y. Suen (IWFHR, 2004)

On the structure of hidden Markov models. - Karim T. Abou-Moustafa; Mohamed Cheriet; Ching Y. Suen (Pattern Recognit. Lett., 2004)

The Minimum Volume Ellipsoid Metric. - Karim T. Abou-Moustafa; Frank P. Ferrie (DAGM-Symposium, 2007)

Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning. - Karim T. Abou-Moustafa; Frank P. Ferrie (ICMLA, 2008)

Fast and regularized local metric for query-based operations. - Karim T. Abou-Moustafa; Frank P. Ferrie (ICPR, 2008)

Local Metric Learning on Manifolds with Application to Query-Based Operations. - Karim T. Abou-Moustafa; Frank P. Ferrie (SSPR/SPR, 2008)

Pareto discriminant analysis. - Karim T. Abou-Moustafa; Fernando De la Torre; Frank P. Ferrie (CVPR, 2010)

Relaxed Exponential Kernels for Unsupervised Learning. - Karim T. Abou-Moustafa; Mohak Shah; Fernando De la Torre; Frank P. Ferrie (DAGM-Symposium, 2011)

Modified Divergences for Gaussian Densities. - Karim T. Abou-Moustafa; Frank P. Ferrie (SSPR/SPR, 2012)

A Note on Metric Properties for Some Divergence Measures: The Gaussian Case. - Karim T. Abou-Moustafa; Frank P. Ferrie (ACML, 2012)

Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning. - Karim T. Abou-Moustafa; Dale Schuurmans; Frank P. Ferrie (ACML, 2013)

Divergence based graph estimation for manifold learning. - Karim T. Abou-Moustafa; Frank P. Ferrie; Dale Schuurmans (GlobalSIP, 2013)

Generalization in Unsupervised Learning. - Karim T. Abou-Moustafa; Dale Schuurmans (ECML/PKDD (1), 2015)

Pareto models for discriminative multiclass linear dimensionality reduction. - Karim T. Abou-Moustafa; Fernando De la Torre; Frank P. Ferrie (Pattern Recognit., 2015)

An a Priori Exponential Tail Bound for k-Folds Cross-Validation. - Karim T. Abou-Moustafa; Csaba Szepesvári (CoRR, 2017)

An Exponential Tail Bound for Lq Stable Learning Rules. Application to k-Folds Cross-Validation. - Karim T. Abou-Moustafa; Csaba Szepesvári (ISAIM, 2018)

Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier. - Karim T. Abou-Moustafa; Frank P. Ferrie (Adv. Data Anal. Classif., 2018)

An Exponential Tail Bound for the Deleted Estimate. - Karim T. Abou-Moustafa; Csaba Szepesvári (AAAI, 2019)

An Exponential Efron-Stein Inequality for Lq Stable Learning Rules. - Karim T. Abou-Moustafa; Csaba Szepesvári (ALT, 2019)

An Exponential Efron-Stein Inequality for Lq Stable Learning Rules. - Karim T. Abou-Moustafa; Csaba Szepesvári (CoRR, 2019)

Shrinkage Coefficient Estimation for Regularized Tyler's M-Estimator: A Leave One Out Approach. - Karim T. Abou-Moustafa (ITW, 2023)