An architecture independent programming language for low-level vision. - Leonard G. C. Hamey; Jon A. Webb; I-Chen Wu (Comput. Vis. Graph. Image Process., 1989)

Benchmarking Feed-Forward Neural Networks: Models and Measures. - Leonard G. C. Hamey (NIPS, 1991)

Comments on "Can backpropagation error surface not have local minima?". - Leonard G. C. Hamey (IEEE Trans. Neural Networks, 1994)

Minimisation of data collection by active learning. - Tirthankar RayChaudhuri; Leonard G. C. Hamey (ICNN, 1995)

Colour bake inspection system using hybrid artificial neural networks. - Jeffrey C.-H. Yeh; Leonard G. C. Hamey; Tas Westcott; Samuel K. Y. Sung (ICNN, 1995)

Pre-processing colour images with a self-organising map: baking curve identification and bake image segmentation. - Leonard G. C. Hamey; Jeffrey C.-H. Yeh; Tas Westcott; Samuel K. Y. Sung (ICPR, 1998)

XOR has no local minima: A case study in neural network error surface analysis. - Leonard G. C. Hamey (Neural Networks, 1998)

Teaching Secure Data Communications Using a Game Representation. - Leonard G. C. Hamey (ACE, 2003)

Simultaneous Estimation of Camera Response Function, Target Reflectance and Irradiance Values. - Leonard G. C. Hamey (DICTA, 2005)

Automatic Number Plate Recognition for Australian Conditions. - Leonard G. C. Hamey; Colin Priest (DICTA, 2005)

Efficient Image Processing with the Apply Language. - Leonard G. C. Hamey (DICTA, 2007)

Pancam: In-Service Inspection of Locomotive Pantographs. - Leonard G. C. Hamey; Timothy Watkins; Simon Wong Too Yen (DICTA, 2007)

Implementing a Domain-Specific Language Using Stratego/XT: An Experience Paper. - Leonard G. C. Hamey; Shirley Goldrei (LDTA@ETAPS, 2007)

Radiometric Camera Calibration. - Leonard G. C. Hamey (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Luminescent Microspheres Resolved from Strong Background on an Automated Time-Gated Luminescence Microscopy Workstation. - Leonard G. C. Hamey; Russell E. Connally; Simon Wong Too Yen; Thomas S. Lawson; James A. Piper; Jon Iredell (DICTA, 2009)

Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. - Abeed Sarker; Leonard G. C. Hamey (DICTA, 2010)

Bucket attack on numeric set watermarking model and safeguards. - Gaurav Gupta 002; Josef Pieprzyk; Len Hamey (Inf. Secur. Tech. Rep., 2011)

Respect Your Parents: How Attribution and Rewriting Can Get Along. - Anthony M. Sloane; Matthew Roberts; Leonard G. C. Hamey (SLE, 2014)

Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder. - Mahmood Yousefi-Azar; Kairit Sirts; Len Hamey; Diego Mollá Aliod (ALTA, 2015)

A Functional Approach to Border Handling in Image Processing. - Leonard G. C. Hamey (DICTA, 2015)

Designing a user-defined gesture vocabulary for an in-vehicle climate control system. - Hessam Jahani Fariman; Hasan J. Alyamani; Manolya Kavakli; Len Hamey (OZCHI, 2016)

Motion-keying Based Dynamical Scene Layering with Adaptive Learning. - Charles Z. Liu; Manolya Kavakli; Scott McCallum; Len Hamey (ICCAE, 2017)

Fast, Automatic and Scalable Learning to Detect Android Malware. - Mahmood Yousefi-Azar; Len Hamey; Vijay Varadharajan; Mark D. McDonnell (ICONIP (5), 2017)

Autoencoder-based feature learning for cyber security applications. - Mahmood Yousefi-Azar; Vijay Varadharajan; Len Hamey; Udaya Kiran Tupakula (IJCNN, 2017)

Semi-Supervised Detection of Student Engagement. - Omid Mohamad Nezami; Debbie Richards 001; Len Hamey (PACIS, 2017)

Text summarization using unsupervised deep learning. - Mahmood Yousefi-Azar; Len Hamey (Expert Syst. Appl., 2017)

Impact of MRI Protocols on Alzheimer's Disease Detection. - Saruar Alam; Len Hamey; Kevin Ho-Shon (DICTA, 2018)

Survey: Big Data Application in Biomedical Research. - Yvonne Bachiller; Peter Busch 001; Manolya Kavakli; Len Hamey (ICCAE, 2018)

Learning Latent Byte-Level Feature Representation for Malware Detection. - Mahmood Yousefi-Azar; Len Hamey; Vijay Varadharajan; Shiping Chen 001 (ICONIP (4), 2018)

Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. - Sonit Singh; Kevin Ho-Shon; Sarvnaz Karimi; Len Hamey (IVCNZ, 2018)

Face-Cap: Image Captioning Using Facial Expression Analysis. - Omid Mohamad Nezami; Mark Dras; Peter Anderson 001; Len Hamey (ECML/PKDD (1), 2018)

Malytics: A Malware Detection Scheme. - Mahmood Yousefi-Azar; Leonard G. C. Hamey; Vijay Varadharajan; Shiping Chen 001 (IEEE Access, 2018)

Deep Learning for Domain Adaption: Engagement Recognition. - Omid Mohamad Nezami; Len Hamey; Deborah Richards 001; Mark Dras (CoRR, 2018)

Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (CLEF (Working Notes), 2019)

Registration Based Data Augmentation for Multiple Sclerosis Lesion Segmentation. - Ava Assadi Abolvardi; Len Hamey; Kevin Ho-Shon (DICTA, 2019)

Multimodal Brain Tumour Segmentation using Densely Connected 3D Convolutional Neural Network. - Mina Ghaffari; Arcot Sowmya; Ruth Oliver; Len Hamey (DICTA, 2019)

From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (DICTA, 2019)

Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression. - Omid Mohamad Nezami; Mark Dras; Len Hamey; Deborah Richards 001; Stephen Wan 001; Cécile Paris (ECML/PKDD (3), 2019)

Towards Generating Stylized Image Captions via Adversarial Training. - Omid Mohamad Nezami; Mark Dras; Stephen Wan 001; Cécile Paris; Len Hamey (PRICAI (1), 2019)

Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation. - Tahereh Hassanzadeh; Leonard G. C. Hamey; Kevin Ho-Shon (IEEE Access, 2019)

A survey of security and privacy issues in the Internet of Things from the layered context. - Samundra Deep; Xi Zheng 001; Len Hamey (CoRR, 2019)

UNET-Based Multi-Task Architecture for Brain Lesion Segmentation. - Ava Assadi Abolvardi; Len Hamey; Kevin Ho-Shon (DICTA, 2020)

Feature-Based Adversarial Attacks Against Machine Learnt Mobile Malware Detectors. - Maryam Shahpasand; Leonard G. C. Hamey; Mohamed Ali Kâafar; Dinusha Vatsalan (ITNAC, 2020)

Byte2vec: Malware Representation and Feature Selection for Android. - Mahmood Yousefi-Azar; Len Hamey; Vijay Varadharajan; Shiping Chen 001 (Comput. J., 2020)

A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks. - Samundra Deep; Xi Zheng 001; Chandan K. Karmakar; Dongjin Yu; Leonard G. C. Hamey; Jiong Jin (IEEE Commun. Surv. Tutorials, 2020)

Show, tell and summarise: learning to generate and summarise radiology findings from medical images. - Sonit Singh; Sarvnaz Karimi; Kevin Ho-Shon; Len Hamey (Neural Comput. Appl., 2021)

Mutual Information and Feature Importance Gradient Boosting: Automatic byte n-gram feature reranking for Android malware detection. - Mahmood Yousefi-Azar; Vijay Varadharajan; Len Hamey; Shiping Chen 001 (Softw. Pract. Exp., 2021)

Classification of ISAR Ship Imagery Using Transfer Learning. - Luke Rosenberg; Weiliang Zhao; Anthony Heng; Len Hamey; Si Tran Nguyen; Mehmet A. Orgun (IEEE Trans. Aerosp. Electron. Syst., 2024)