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2020 – today
- 2022
[j8]Usman Rashid
, David Barbado, Sharon Olsen, Gemma Alder, Jose L. L. Elvira, Sue Lord, Imran Khan Niazi, Denise Taylor:
Validity and Reliability of a Smartphone App for Gait and Balance Assessment. Sensors 22(1): 124 (2022)- [j7]Fredy Rojas, Imran Khan Niazi, Patricio Maturana-Russel, Denise Taylor:
Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses. Sensors 22(23): 9200 (2022) - 2021
- [j6]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:
Mobile Pulmonary Rehabilitation: Feasibility of Delivery by a Mobile Phone-Based Program. Frontiers Comput. Sci. 3: 546960 (2021) - 2020
- [j5]Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor:
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. Neural Networks 121: 169-185 (2020) - [j4]Gemma Alder, Nada Signal, Usman Rashid, Sharon Olsen, Imran Khan Niazi, Denise Taylor:
Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis. Sensors 20(8): 2427 (2020)
2010 – 2019
- 2019
- [j3]Usman Rashid, Nitika Kumari, Denise Taylor, Tim David, Nada Signal:
Gait Event Anomaly Detection and Correction During a Split-Belt Treadmill Task. IEEE Access 7: 68469-68478 (2019) - [c4]Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov:
eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. IJCNN 2019: 1-8 - 2018
- [j2]Usman Rashid, Imran Khan Niazi, Nada Signal, Denise Taylor:
An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299. Sensors 18(11): 3721 (2018) - [c3]Kaushalya Kumarasinghe, Mahonri Owen, Denise Taylor, Nikola K. Kasabov, Chi Kit:
FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory. ICRA 2018: 1-8 - 2016
- [j1]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:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78: 1-14 (2016) - [p1]Muhammad Akmal, Mads Jochumsen, Muhammad Samran Navid, Muhammad Shafique, Syed Muhammad Tahir Zaidi, Denise Taylor, Imran Khan Niazi:
Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks. Advances in Neural Networks 2016: 275-282 - 2015
- [c2]Ali Hassan, Usman Ghani, Farhan Riaz, Saad Rehman, Mads Jochumsen, Denise Taylor, Imran Khan Niazi:
Using a Portable Device for Online Single-Trial MRCP Detection and Classification. IDEAL 2015: 527-534 - 2014
- [c1]Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou:
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN 2014: 3221-3225
Coauthor Index
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