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Brendon J. Woodford

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affiliation: University of Otago, Dunedin, New Zealand

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2020 – today

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2024
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Ahmad Ghandour, Brendon J. Woodford, Hesham Abusaimeh:
Ethical Considerations in the Use of ChatGPT: An Exploration Through the Lens of Five Moral Dimensions. IEEE Access 12: 60682-60693 (2024)
[j5]
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Ahmad Ghandour, Brendon J. Woodford, Hesham Abusaimeh:
Corrections to "Ethical Considerations in the Use of ChatGPT: An Exploration Through the Lens of Five Moral Dimensions". IEEE Access 12: 162509 (2024)
2023
[c28]
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Ahmad Ghandour, Brendon J. Woodford:
Guidelines to Develop AI Ethics Policy in Organizations: Perspectives Informed from Two Different Countries' Laws. ACIT 2023: 1-9
[c27]
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Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, Sherlock A. Licorish:
A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. AusDM 2023: 239-253
[c26]
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Brendon J. Woodford:
Automatic Parameter Optimisation Framework for ECoS-based Models. IJCNN 2023: 1-8
2022
[c25]
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Ahmad Ghandour, Brendon J. Woodford, Alhanof Almutairi, Hussein Salem Alsrehan:
Means to Support the Ends: Forums that Escape the Official Gaze in the Educational Institutions. ACIT 2022: 1-5
[c24]
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Brendon J. Woodford:
Boosted Self-evolving Neural Networks for Pattern Recognition. AI 2022: 456-469
2021
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Nigel Stanger, Brendon J. Woodford, Michael Winikoff, David M. Eyers, Veronica Liesaputra Joachim, Daniel Alencar da Costa, Andrew Trotman:
ACSW '21: 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February, 2021. ACM 2021, ISBN 978-1-4503-8956-3 [contents]
2020
[c23]
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Ahmad Ghandour, Brendon J. Woodford:
COVID-19 Impact on E-Commerce in UAE. ACIT 2020: 1-8
[c22]
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Brendon J. Woodford, Ahmad Ghandour:
An Information Retrieval-Based Approach to Activity Recognition in Smart Homes. ICSOC Workshops 2020: 583-595

2010 – 2019

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2019
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Ahmad Ghandour, Brendon J. Woodford:
Ethical Issues in Artificial Intelligence in UAE. ACIT 2019: 262-266
[c20]
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Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish:
Evaluating the Boundaries of Big Data Environments for Machine Learning. Australasian Conference on Artificial Intelligence 2019: 253-264
2017
[c19]
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Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford:
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. ICONIP (1) 2017: 515-525
[c18]
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Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford:
A streaming ensemble classifier with multi-class imbalance learning for activity recognition. IJCNN 2017: 3983-3990
[c17]
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Ahmad Shahi, Brendon J. Woodford, Hanhe Lin:
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. PAKDD (Workshops) 2017: 26-38
2016
[c16]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi:
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. ACM Multimedia 2016: 536-540
[c15]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. PAKDD (1) 2016: 165-176
2015
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image Vis. Comput. 38: 52-64 (2015)
[c14]
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Ahmad Shahi, Brendon J. Woodford, Jeremiah D. Deng:
Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data. Australasian Conference on Artificial Intelligence 2015: 505-516
[c13]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Anomaly detection in crowd scenes via online adaptive one-class support vector machines. ICIP 2015: 2434-2438
2014
[j3]
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Video background modeling: recent approaches, issues and our proposed techniques. Mach. Vis. Appl. 25(5): 1105-1119 (2014)
[c12]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. MLSDA@PRICAI 2014: 12
2013
[c11]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. Australasian Conference on Artificial Intelligence 2013: 123-134
[c10]
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Growing Neural Gas Video Background Model (GNG-BM). Australasian Conference on Artificial Intelligence 2013: 135-147
[c9]
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. ICIP 2013: 3436-3440
2012
[c8]
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. ACCV Workshops (1) 2012: 308-314
[c7]
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. IVCNZ 2012: 103-108
[c6]
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Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Video manifold modelling: finding the right parameter settings for anomaly detection. IVCNZ 2012: 168-173
2011
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Munir Shah, Jeremiah D. Deng, Brendon J. Woodford:
Enhanced Codebook Model for Real-Time Background Subtraction. ICONIP (3) 2011: 449-458
2010
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Brendon J. Woodford:
Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure. IJCNN 2010: 1-7

2000 – 2009

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2008
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Brendon J. Woodford:
Evolving neurocomputing systems for horticulture applications. Appl. Soft Comput. 8(1): 564-578 (2008)
2004
[c3]
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Brendon J. Woodford, Da Deng, George L. Benwell:
A wavelet-based neuro-fuzzy system for data mining small image sets. ACSW 2004: 139-143
2001
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Brendon J. Woodford, Nikola K. Kasabov:
Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE 2001: 1573-1576
2000
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Nikola K. Kasabov, Steven A. Israel, Brendon J. Woodford:
The Application of Hybrid Evolving Connectionist Systems to Image Classification. J. Adv. Comput. Intell. Intell. Informatics 4(1): 57-65 (2000)

1990 – 1999

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1999
[c1]
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Brendon J. Woodford:
Analysing Images of Pest Damage to Apples using Wavelets. New Zealand Computer Science Research Students' Conference 1999: 101-108

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