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

Khan, Najeeb; Stavness, Ian

Pruning Convolutional Filters using Batch Bridgeout Journal Article

In: IEEE Access, 2020.

Links | BibTeX

Pruning Convolutional Filters using Batch Bridgeout

2019

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

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

In: BioMed research international, vol. 2019, 2019.

BibTeX

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

Khan, Najeeb; Stavness, Ian

Sparseout: Controlling Sparsity in Deep Networks Inproceedings

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

BibTeX

Sparseout: Controlling Sparsity in Deep Networks

2018

Khan, Najeeb

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

In: arXiv preprint arXiv:1805.11201, 2018.

BibTeX

A parallel implementation of the covariance matrix adaptation evolution strategy

Khan, Najeeb; Shah, Jawad; Stavness, Ian

Bridgeout: stochastic bridge regularization for deep neural networks Journal Article

In: IEEE Access, vol. 6, pp. 42961–42970, 2018.

BibTeX

Bridgeout: stochastic bridge regularization for deep neural networks

Roewer-Despres, Francois; Khan, Najeeb; Stavness, Ian

Towards Finite-Element Simulation using Deep Learning Inproceedings

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

BibTeX

2017

Khan, Najeeb; Stavness, Ian

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

In: arXiv preprint arXiv:1706.04145, 2017.

BibTeX

Prediction of muscle activations for reaching movements using deep neural networks

2015

Khan, Najeeb; Lee, Jung Chul

HMM Based Duration Control for Singing TTS Incollection

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

BibTeX

Khan, Najeeb; Lee, Jung-Chul

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

In: Electronics Letters, vol. 51, no. 12, pp. 941–943, 2015.

BibTeX

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

Khan, Najeeb; Lee, Jung-Chul

Singing Voice Synthesis Using HMM Based TTS and MusicXML Journal Article

In: 한국컴퓨터정보학회논문지, vol. 20, no. 5, pp. 53–63, 2015.

BibTeX

Singing Voice Synthesis Using HMM Based TTS and MusicXML

2014

Khan, Najeeb; Lee, Jung-Chul

Development of a music score editor based on musicxml Journal Article

In: Journal of the Korea Society of Computer and Information, vol. 19, no. 2, pp. 77–90, 2014.

BibTeX

Development of a music score editor based on musicxml