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.
Pruning Convolutional Filters using Batch Bridgeout Journal Article
IEEE Access, 2020.
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.
Sparseout: Controlling Sparsity in Deep Networks Inproceedings
Canadian Conference on Artificial Intelligence, pp. 296–307, Springer, Cham 2019.
A parallel implementation of the covariance matrix adaptation evolution strategy Journal Article
arXiv preprint arXiv:1805.11201, 2018.
Bridgeout: stochastic bridge regularization for deep neural networks Journal Article
IEEE Access, 6 , pp. 42961–42970, 2018.
Towards Finite-Element Simulation using Deep Learning Inproceedings
15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2018.
Prediction of muscle activations for reaching movements using deep neural networks Journal Article
arXiv preprint arXiv:1706.04145, 2017.
HMM Based Duration Control for Singing TTS Incollection
Advances in Computer Science and Ubiquitous Computing, pp. 137–143, Springer, Singapore, 2015.
Optimal state duration assignment in hidden Markov model-based text-to-speech synthesis system Journal Article
Electronics Letters, 51 (12), pp. 941–943, 2015.
Singing Voice Synthesis Using HMM Based TTS and MusicXML Journal Article
한국컴퓨터정보학회논문지, 20 (5), pp. 53–63, 2015.
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.