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ORCIDImali Hettiarachchi
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2020 – today
- 2024
[j6]Rakesh Veerabhadrappa
, Imali T. Hettiarachchi, Samer Hanoun, Dawei Jia, Simon G. Hosking, Asim Bhatti:
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data. Hum. Factors 66(3): 818-838 (2024)- 2023
- [j5]Mohammed Algumaei, Imali T. Hettiarachchi, Mohamed Farghaly, Asim Bhatti:
The Neuroscience of Team Dynamics: Exploring Neurophysiological Measures for Assessing Team Performance. IEEE Access 11: 129173-129194 (2023) - [j4]Mohammed Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task. Sensors 23(4): 2268 (2023) - 2022
- [c30]My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Physiological Compliance during a Three Member Collaborative Computer Task. SMC 2022: 3348-3353 - [c29]Bruce Gunn, Imali T. Hettiarachchi, Michael Johnstone, Vu Le, Douglas C. Creighton, Luke Preston:
Improving high value manufacturing with simulation-based Bayesian Optimisation. SysCon 2022: 1-8 - [c28]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance. SysCon 2022: 1-8 - [c27]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting. SysCon 2022: 1-7 - 2021
- [j3]Luke Crameri, Imali Hettiarachchi, Samer Hanoun:
A Review of Individual Operational Cognitive Readiness: Theory Development and Future Directions. Hum. Factors 63(1) (2021) - [c26]My Algumaei, Imali T. Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti:
Wavelet Packet Energy Features for EEG-Based Emotion Recognition. SMC 2021: 1935-1940 - [c25]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, My Algumaei, Asim Bhatti:
A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data. SMC 2021: 1953-1958 - [c24]Imali T. Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon Hosking, Asim Bhatti:
Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task. SysCon 2021: 1-7 - [c23]Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti:
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data. SysCon 2021: 1-8 - 2020
- [c22]Luke Crameri, Imali Hettiarachchi, Samer Hanoun:
Feasibility Study of Skin Conductance Response for Quantifying Individual Dynamic Resilience. SMC 2020: 1764-1771
2010 – 2019
- 2018
- [j2]Thanh Nguyen, Imali Hettiarachchi, Amin Khatami, Lee Gordon-Brown, Chee Peng Lim, Saeid Nahavandi:
Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System. IEEE Access 6: 27873-27884 (2018) - [j1]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. 2018: 6323414:1-6323414:12 (2018) - [c21]Ibrahim Hossain, Imali Hettiarachchi:
Calibration Time Reduction for Motor Imagery-Based BCI Using Batch Mode Active Learning. IJCNN 2018: 1-8 - [c20]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. IJCNN 2018: 1-6 - [c19]Mohammed Hassan Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi:
A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. ISBI 2018: 766-769 - [c18]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI. SMC 2018: 491-498 - [c17]Mohammed Hassan Attia, Imali Hettiarachchi, Shady M. K. Mohamed, Mohammed Hossny, Saeid Nahavandi:
A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. SMC 2018: 2134-2139 - [c16]Imali Hettiarachchi, Samer Hanoun, Darius Nahavandi, Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
Towards More Accessible Physiological Data for Assessment of Cognitive Load - A Validation Study. SMC 2018: 3045-3050 - [c15]Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC 2018: 3480-3485 - [c14]Julie Iskander, Imali Hettiarachchi, Samer Hanoun, Mohammed Hossny, Sofia Nahavandi, Asim Bhatti:
A classifier approach to multi-screen switching based on low cost eye-trackers. SysCon 2018: 1-6 - [c13]Julie Iskander, Samer Hanoun, Imali Hettiarachchi, Mostafa Hossny, Khaled Saleh, H. Zhou, Sofia Nahavandi, Asim Bhatti:
Eye behaviour as a hazard perception measure. SysCon 2018: 1-6 - 2017
- [c12]Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi:
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE 2017: 1-6 - [c11]Ibrahim Hossain, Abbas Khosravi, Imali Thanuja Hettiarachchi, Saeid Nahavandi:
Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface. SMC 2017: 252-257 - 2015
- [c10]Imali T. Hettiarachchi, Asim Bhatti, Paul A. Adlard, Saeid Nahavandi:
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts. ICONIP (4) 2015: 324-331 - [c9]Thanh Thi Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, Imali Hettiarachchi:
EEG signal analysis for BCI application using fuzzy system. IJCNN 2015: 1-8 - [c8]Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi, Sofia Nahavandi:
Application of Extended Multivariate Modeling for Information Flow Analysis of Event Related Responses. SMC 2015: 1845-1851 - [c7]Imali T. Hettiarachchi, Thanh Nguyen, Saeid Nahavandi:
Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI. SMC 2015: 3164-3168 - 2014
- [c6]Imali Hettiarachchi, Thanh Thi Nguyen, Saeid Nahavandi:
Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction. ICONIP (3) 2014: 519-526 - [c5]Luke Nyhof, Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Adaptive-Multi-Reference Least Means Squares Filter. ICONIP (3) 2014: 527-534 - [c4]Thanh Nguyen, Abbas Khosravi, Imali Hettiarachchi, Douglas C. Creighton, Saeid Nahavandi:
Classification of neural action potentials using mean shift clustering. SMC 2014: 1247-1252 - 2013
- [c3]Imali T. Hettiarachchi, Shady M. K. Mohamed, Luke Nyhof, Saeid Nahavandi:
An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network. EMBC 2013: 3945-3948 - 2012
- [c2]Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method. EMBC 2012: 4212-4216 - [c1]Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
A marginalised Markov Chain Monte Carlo approach for model based analysis of EEG data. ISBI 2012: 1539-1542
Coauthor Index
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