Analysing Images of Pest Damage to Apples using Wavelets. - Brendon J. Woodford (New Zealand Computer Science Research Students' Conference, 1999)

The Application of Hybrid Evolving Connectionist Systems to Image Classification. - Nikola K. Kasabov; Steven A. Israel; Brendon J. Woodford (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. - Brendon J. Woodford; Nikola K. Kasabov (FUZZ-IEEE, 2001)

A wavelet-based neuro-fuzzy system for data mining small image sets. - Brendon J. Woodford; Da Deng 001; George L. Benwell (ACSW, 2004)

Evolving neurocomputing systems for horticulture applications. - Brendon J. Woodford (Appl. Soft Comput., 2008)

Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure. - Brendon J. Woodford (IJCNN, 2010)

Enhanced Codebook Model for Real-Time Background Subtraction. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ICONIP (3), 2011)

Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ACCV Workshops (1), 2012)

Video manifold modelling: finding the right parameter settings for anomaly detection. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (IVCNZ, 2012)

Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (IVCNZ, 2012)

Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (Australasian Conference on Artificial Intelligence, 2013)

Growing Neural Gas Video Background Model (GNG-BM). - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Australasian Conference on Artificial Intelligence, 2013)

Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ICIP, 2013)

Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (MLSDA@PRICAI, 2014)

Video background modeling: recent approaches, issues and our proposed techniques. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Mach. Vis. Appl., 2014)

Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data. - Ahmad Shahi; Brendon J. Woodford; Jeremiah D. Deng (Australasian Conference on Artificial Intelligence, 2015)

Anomaly detection in crowd scenes via online adaptive one-class support vector machines. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (ICIP, 2015)

A Self-adaptive CodeBook (SACB) model for real-time background subtraction. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Image Vis. Comput., 2015)

Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford; Ahmad Shahi (ACM Multimedia, 2016)

Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (PAKDD (1), 2016)

Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. - Ahmad Shahi; Jeremiah D. Deng; Brendon J. Woodford (ICONIP (1), 2017)

A streaming ensemble classifier with multi-class imbalance learning for activity recognition. - Ahmad Shahi; Jeremiah D. Deng; Brendon J. Woodford (IJCNN, 2017)

Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. - Ahmad Shahi; Brendon J. Woodford; Hanhe Lin (PAKDD (Workshops), 2017)

Ethical Issues in Artificial Intelligence in UAE. - Ahmad Ghandour; Brendon J. Woodford (ACIT, 2019)

Evaluating the Boundaries of Big Data Environments for Machine Learning. - Fathima Nuzla Ismail; Brendon J. Woodford; Sherlock A. Licorish (Australasian Conference on Artificial Intelligence, 2019)

COVID-19 Impact on E-Commerce in UAE. - Ahmad Ghandour; Brendon J. Woodford (ACIT, 2020)

An Information Retrieval-Based Approach to Activity Recognition in Smart Homes. - Brendon J. Woodford; Ahmad Ghandour (ICSOC Workshops, 2020)

Means to Support the Ends: Forums that Escape the Official Gaze in the Educational Institutions. - Ahmad Ghandour; Brendon J. Woodford; Alhanof Almutairi; Hussein Salem Alsrehan (ACIT, 2022)

Boosted Self-evolving Neural Networks for Pattern Recognition. - Brendon J. Woodford (AI, 2022)

Guidelines to Develop AI Ethics Policy in Organizations: Perspectives Informed from Two Different Countries' Laws. - Ahmad Ghandour; Brendon J. Woodford (ACIT, 2023)

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. - Fathima Nuzla Ismail; Abira Sengupta; Brendon J. Woodford; Sherlock A. Licorish (AusDM, 2023)

Automatic Parameter Optimisation Framework for ECoS-based Models. - Brendon J. Woodford (IJCNN, 2023)

Guidelines to Develop a Cybersecurity Policy in Schools, Perspectives Informed from Jordanian Cybercrime Law. - Ahmad Ghandour; Brendon J. Woodford (ACIT, 2024)

Conformal Adversarial Generative Ensemble. - Ahmad Shahi; Mamehgol Yousefi; Brendon J. Woodford; Farhaan Mirza; Tapabrata Chakraborti (ICONIP (2), 2024)

Ethical Considerations in the Use of ChatGPT: An Exploration Through the Lens of Five Moral Dimensions. - Ahmad Ghandour; Brendon J. Woodford; Hesham Abusaimeh (IEEE Access, 2024)

Corrections to "Ethical Considerations in the Use of ChatGPT: An Exploration Through the Lens of Five Moral Dimensions". - Ahmad Ghandour; Brendon J. Woodford; Hesham Abusaimeh (IEEE Access, 2024)

Understanding Regression Models on Stack Overflow Code: GBM Returns the Best Prediction Performance among Regression Techniques. - Sherlock A. Licorish; Brendon J. Woodford; Lakmal Kiyaduwa Vithanage; Osayande P. Omondiagbe (J. Softw., 2025)

GBM Returns the Best Prediction Performance among Regression Approaches: A Case Study of Stack Overflow Code Quality. - Sherlock A. Licorish; Brendon J. Woodford; Lakmal Kiyaduwa Vithanage; Osayande P. Omondiagbe (CoRR, 2025)

Investigating activity recognition in smart homes through embedded feature selection. - Brendon J. Woodford; Ahmad Ghandour (J. Ambient Intell. Humaniz. Comput., 2025)