Muhammad Rizwan

According to our database, Muhammad Rizwan authored at least 9 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification.

Garrett Perkins, Chase McGlinn, Muhammad Rizwan, Bradley M. Whitaker

Proceedings of the Computing in Cardiology, 2020

2018

A weighted accent classification using multiple words.

Muhammad Rizwan, David V. Anderson

Neurocomputing, 2018

2017

Investigation on adaptive data condensation for exemplar based method in speech task.

Muhammad Rizwan, David V. Anderson

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding.

Bradley M. Whitaker, Muhammad Rizwan, Varol Burak Aydemir, James M. Rehg, David V. Anderson

Proceedings of the Computing in Cardiology, 2017

2016

Word based dialect classification using extreme learning machines.

Muhammad Rizwan, Babafemi O. Odelowo, David V. Anderson

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Identifying rale sounds in chickens using audio signals for early disease detection in poultry.

Muhammad Rizwan, Brandon T. Carroll, David V. Anderson, Wayne Daley, Simeon Harbert, Douglas F. Britton, Mark W. Jackwood

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Speaker similarity score based fast phoneme classification by using neighborhood components analysis.

Muhammad Rizwan, David V. Anderson

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Speaker Adaptation Using Speaker Similarity Score on DNN Features.

Muhammad Rizwan, David V. Anderson

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Using k-Nearest Neighbor and Speaker Ranking for Phoneme Prediction.

Muhammad Rizwan, David V. Anderson

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014