Fast Multiscale Operator Development for Hexagonal Images. - Bryan Gardiner; Sonya A. Coleman; Bryan W. Scotney (DAGM-Symposium, 2009)

Processing Hexagonal Images in a Virtual Environment. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (ICIAP, 2009)

Fast Edge Map Pyramids for Hexagonal Image Structures. - Bryan Gardiner; Sonya A. Coleman; Bryan W. Scotney (IMVIP, 2009)

Design of Feature Extraction Operators for Use on Biologically Motivated Hexagonal Image Structures. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (MVA, 2009)

Efficient Laplacian feature map pyramids in a hexagonal framework. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (ICASSP, 2010)

Adaptive tri-direction edge detection operators based on the spiral architecture. - Sonya A. Coleman; Bryan Gardiner; Bryan W. Scotney (ICIP, 2010)

Coarse Scale Feature Extraction Using the Spiral Architecture Structure. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (ICPR, 2010)

Graph-Matrix Calculus for Computational Convex Analysis. - Bryan Gardiner; Yves Lucet (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

Biologically Motivated Feature Extraction. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (ICIAP (1), 2011)

Corner detection on hexagonal pixel based images. - Si Jing Liu; Sonya A. Coleman; Dermot Kerr; Bryan W. Scotney; Bryan Gardiner (ICIP, 2011)

Biologically motivated feature extraction using the spiral architecture. - Bryan W. Scotney; Sonya A. Coleman; Bryan Gardiner (ICIP, 2011)

Robot control code generation by task demonstration in a dynamic environment. - Bryan Gardiner; Sonya A. Coleman; T. Martin McGinnity; Hongmei He (Robotics Auton. Syst., 2012)

Integral Spiral Image for Fast Hexagonal Image Processing. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (ICIAP (2), 2013)

A Biologically Inspired Approach for Fast Image Processing. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (MVA, 2013)

Computing the conjugate of convex piecewise linear-quadratic bivariate functions. - Bryan Gardiner; Yves Lucet (Math. Program., 2013)

Computing the partial conjugate of convex piecewise linear-quadratic bivariate functions. - Bryan Gardiner; Khan Jakee; Yves Lucet (Comput. Optim. Appl., 2014)

Linguistic Decision Making for Robot Route Learning. - Hongmei He; Thomas Martin McGinnity; Sonya A. Coleman; Bryan Gardiner (IEEE Trans. Neural Networks Learn. Syst., 2014)

Square to hexagonal lattice conversion based on one-dimensional interpolation. - Xiangguo Li; Bryan Gardiner; Sonya A. Coleman (IPTA, 2016)

Tri-directional gradient operators for hexagonal image processing. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (J. Vis. Commun. Image Represent., 2016)

Multiscale Edge Detection Using a Finite Element Framework for Hexagonal Pixel-Based Images. - Bryan Gardiner; Sonya A. Coleman; Bryan W. Scotney (IEEE Trans. Image Process., 2016)

Square to hexagonal lattice conversion in the frequency domain. - Xiangguo Li; Bryan Gardiner; Sonya A. Coleman (ICIP, 2017)

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISVLSI, 2017)

Fast low-level multi-scale feature extraction for hexagonal images. - Sonya A. Coleman; Bryan W. Scotney; Bryan Gardiner (MVA, 2017)

Sensor-based Vital Sign Monitoring, Analysis and Visualisation for Ageing in Place. - E. P. Kerr; Sonya A. Coleman; Dermot Kerr; Philip J. Vance; Bryan Gardiner; Y. Zhang; F. Wang; Chengdong Wu 001 (IJCNN, 2018)

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISCAS, 2018)

Transparent Modelling of Risk Assessment factors for Assisted Living. - Philip J. Vance; Sonya A. Coleman; Dermot Kerr; Leeanne Lindsay; B. J. Taylor; E. P. Kerr; Bryan Gardiner; Thomas Martin McGinnity; Chengdong Wu 001 (SSCI, 2018)

An investigation of gradient as a feature cue for saliency detection. - Christopher Cooley; Sonya Coleman; Bryan Gardiner; Bryan W. Scotney (AIPR, 2019)

Multi-scale saliency using local gradient and global colour features. - Christopher Cooley; Sonya Coleman; Bryan Gardiner; Bryan W. Scotney (AIPR, 2019)

Adaptive Gesture Recognition System for Robotic Control using Surface EMG Sensors. - Benjamin Marcheix; Bryan Gardiner; Sonya Coleman (ISSPIT, 2019)

Attention-based multi-modal fusion for improved real estate appraisal: a case study in Los Angeles. - Junchi Bin; Bryan Gardiner; Zheng Liu 002; Eric Li (Multim. Tools Appl., 2019)

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu (DATE, 2020)

A predictive model for paediatric autism screening. - Benjamin Wingfield; Shane Miller; Pratheepan Yogarajah; Dermot Kerr; Bryan Gardiner; Sudarshi Seneviratne; Pradeepa Samarasinghe; Sonya Coleman (Health Informatics J., 2020)

Multi-source urban data fusion for property value assessment: A case study in Philadelphia. - Junchi Bin; Bryan Gardiner; Eric Li; Zheng Liu 002 (Neurocomputing, 2020)

The Automated Temporal Analysis of Gaze Following in a Visual Tracking Task. - Vidushani Dhanawansa; Pradeepa Samarasinghe; Bryan Gardiner; Pratheepan Yogarajah; Anuradha Karunasena (ICIAP (3), 2022)

Comparative Study of Deep Learning Parameter Selection for Multi-Output Regression on Head Pose Estimation. - Vidushani Dhanawansa; Pradeepa Samarasinghe; Pratheepan Yogarajah; Bryan Gardiner; Anuradha Karunasena (ICIT, 2022)

Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model. - John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul H. Siddique; Sunilkumar S. Manvi (ICPRAI (2), 2022)

Transparent Models for Stock Market Price Forecasting. - Leeanne Lindsay; Dermot Kerr; Sonya Coleman; Bryan Gardiner (SSCI, 2022)

3D Human Pose Estimation Model Analysis: Gait Analytics for Autism Spectrum Disorder Detection. - Benn Henderson; Yogarajah Pratheepan; Bryan Gardiner; T. M. McGinnity (AICS, 2023)

Fast and Accurate Tactile Object Recognition Using a Random Convolutional Kernel Transform. - John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul H. Siddique (ICAR, 2023)

Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder. - Benn Henderson; Pratheepan Yogarajah; Bryan Gardiner; T. Martin McGinnity (IEEE Access, 2023)

RHPMF: A context-aware matrix factorization approach for understanding regional real estate market. - Junchi Bin; Bryan Gardiner; Huan Liu 002; Eric Li; Zheng Liu 002 (Inf. Fusion, 2023)

A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion. - John Doherty; Bryan Gardiner; Nazmul H. Siddique; Emmett Kerr (IJCNN, 2024)

An EfficientNet-Based Transfer Learning System for Defect Classification in Manufacturing. - Muhammad Rashid Rasheed; Sonya Coleman; Bryan Gardiner; Philip J. Vance; Cormac McAteer; Khoi Nguyen (INDIN, 2024)

Supply Chain Analytics: A Performance Evaluation of Machine Learning, Statistical and Time-Series Models. - Vimal Dwivedi; Karuna Kadian; Bryan Gardiner; Rachana Pandey; Anjali Lathwal (Balt. J. Mod. Comput., 2025)

BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks. - John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul H. Siddique (Pattern Recognit., 2025)