Brendon J. Woodford

Orcid: 0000-0001-5202-9700

Affiliations:
  • University of Otago, Dunedin, New Zealand


According to our database1, Brendon J. Woodford authored at least 32 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Automatic Parameter Optimisation Framework for ECoS-based Models.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California.
Proceedings of the Data Science and Machine Learning, 2023

Guidelines to Develop AI Ethics Policy in Organizations: Perspectives Informed from Two Different Countries' Laws.
Proceedings of the 24th International Arab Conference on Information Technology, 2023

2022
Boosted Self-evolving Neural Networks for Pattern Recognition.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Means to Support the Ends: Forums that Escape the Official Gaze in the Educational Institutions.
Proceedings of the International Arab Conference on Information Technology, 2022

2020
An Information Retrieval-Based Approach to Activity Recognition in Smart Homes.
Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

COVID-19 Impact on E-Commerce in UAE.
Proceedings of the 21st International Arab Conference on Information Technology, 2020

2019
Evaluating the Boundaries of Big Data Environments for Machine Learning.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Ethical Issues in Artificial Intelligence in UAE.
Proceedings of the International Arab Conference on Information Technology, 2019

2017
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

A streaming ensemble classifier with multi-class imbalance learning for activity recognition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
A Self-adaptive CodeBook (SACB) model for real-time background subtraction.
Image Vis. Comput., 2015

Anomaly detection in crowd scenes via online adaptive one-class support vector machines.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
Video background modeling: recent approaches, issues and our proposed techniques.
Mach. Vis. Appl., 2014

Spatial-Temporal Pyramid Matching for Crowd Scene Analysis.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014

2013
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting.
Proceedings of the IEEE International Conference on Image Processing, 2013

Growing Neural Gas Video Background Model (GNG-BM).
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning.
Proceedings of the Image and Vision Computing New Zealand, 2012

Video manifold modelling: finding the right parameter settings for anomaly detection.
Proceedings of the Image and Vision Computing New Zealand, 2012

Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2011
Enhanced Codebook Model for Real-Time Background Subtraction.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
Evolving neurocomputing systems for horticulture applications.
Appl. Soft Comput., 2008

2004
A wavelet-based neuro-fuzzy system for data mining small image sets.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

2001
Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
The Application of Hybrid Evolving Connectionist Systems to Image Classification.
J. Adv. Comput. Intell. Intell. Informatics, 2000

1999
Analysing Images of Pest Damage to Apples using Wavelets.
Proceedings of the Third New Zealand Computer Science Research Students' Conference, 1999


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