Research

My research involves developing novel machine learning algorithms and their applications in broad areas of importance such as computer vision, natural language processing, biomechanics and satellite communications among others.

2020

Najeeb Khan; Ian Stavness

Pruning Convolutional Filters using Batch Bridgeout Journal Article

IEEE Access, 2020.

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Pruning Convolutional Filters using Batch Bridgeout

2019

Muhammad Bilal; Haris Anis; Najeeb Khan; Ijaz Qureshi; Jawad Shah; Kushsairy A Kadir

Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition Journal Article

BioMed research international, 2019 , 2019.

BibTeX

Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition

Najeeb Khan; Ian Stavness

Sparseout: Controlling Sparsity in Deep Networks Inproceedings

Canadian Conference on Artificial Intelligence, pp. 296–307, Springer, Cham 2019.

BibTeX

Sparseout: Controlling Sparsity in Deep Networks

2018

Najeeb Khan

A parallel implementation of the covariance matrix adaptation evolution strategy Journal Article

arXiv preprint arXiv:1805.11201, 2018.

BibTeX

A parallel implementation of the covariance matrix adaptation evolution strategy

Najeeb Khan; Jawad Shah; Ian Stavness

Bridgeout: stochastic bridge regularization for deep neural networks Journal Article

IEEE Access, 6 , pp. 42961–42970, 2018.

BibTeX

Bridgeout: stochastic bridge regularization for deep neural networks

Francois Roewer-Despres; Najeeb Khan; Ian Stavness

Towards Finite-Element Simulation using Deep Learning Inproceedings

15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2018.

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2017

Najeeb Khan; Ian Stavness

Prediction of muscle activations for reaching movements using deep neural networks Journal Article

arXiv preprint arXiv:1706.04145, 2017.

BibTeX

Prediction of muscle activations for reaching movements using deep neural networks

2015

Najeeb Khan; Jung Chul Lee

HMM Based Duration Control for Singing TTS Incollection

Advances in Computer Science and Ubiquitous Computing, pp. 137–143, Springer, Singapore, 2015.

BibTeX

Najeeb Khan; Jung-Chul Lee

Optimal state duration assignment in hidden Markov model-based text-to-speech synthesis system Journal Article

Electronics Letters, 51 (12), pp. 941–943, 2015.

BibTeX

Optimal state duration assignment in hidden Markov model-based text-to-speech synthesis system

Najeeb Khan; Jung-Chul Lee

Singing Voice Synthesis Using HMM Based TTS and MusicXML Journal Article

한국컴퓨터정보학회논문지, 20 (5), pp. 53–63, 2015.

BibTeX

Singing Voice Synthesis Using HMM Based TTS and MusicXML

2014

Najeeb Khan; Jung-Chul Lee

Development of a music score editor based on musicxml Journal Article

Journal of the Korea Society of Computer and Information, 19 (2), pp. 77–90, 2014.

BibTeX

Development of a music score editor based on musicxml