Denise Taylor

According to our database, Denise Taylor authored at least 13 papers between 2014 and 2022.

Collaborative distances:

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

2022

Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses.

Fredy Rojas, Imran Khan Niazi, Patricio Maturana-Russel, Denise Taylor

Sensors, 2022

Validity and Reliability of a Smartphone App for Gait and Balance Assessment.

Usman Rashid, David Barbado, Sharon Olsen, Gemma Alder, Jose L. L. Elvira, Sue Lord, Imran Khan Niazi, Denise Taylor

Sensors, 2022

2021

Mobile Pulmonary Rehabilitation: Feasibility of Delivery by a Mobile Phone-Based Program.

Robyn Whittaker, Rosie Dobson, Sarah Candy, Taria Tane, Kelly Burrowes, Julie Reeve, Merryn H. Tawhai, Denise Taylor, Trina Robertson, Jeffrey Garrett, Gayl Humphrey, Tamzin Brott, Sabaoon Raza Khan, Feiyu Hu, Jim Warren

Frontiers Comput. Sci., 2021

2020

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.

Gemma Alder, Nada Signal, Usman Rashid, Sharon Olsen, Imran Khan Niazi, Denise Taylor

Sensors, 2020

Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces.

Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor

Neural Networks, 2020

2019

Gait Event Anomaly Detection and Correction During a Split-Belt Treadmill Task.

Usman Rashid, Nitika Kumari, Denise Taylor, Tim David, Nada Signal

IEEE Access, 2019

eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces.

Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.

Usman Rashid, Imran Khan Niazi, Nada Signal, Denise Taylor

Sensors, 2018

FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory.

Kaushalya Kumarasinghe, Mahonri Owen, Denise Taylor, Nikola K. Kasabov, Chi Kit

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks.

Muhammad Akmal, Mads Jochumsen, Muhammad Samran Navid, Muhammad Shafique, Syed Muhammad Tahir Zaidi, Denise Taylor, Imran Khan Niazi

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang

Neural Networks, 2016

2015

Using a Portable Device for Online Single-Trial MRCP Detection and Classification.

Ali Hassan, Usman Ghani, Farhan Riaz, Saad Rehman, Mads Jochumsen, Denise Taylor, Imran Khan Niazi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014

Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications.

Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014