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ORCIDLeonard G. C. Hamey
Person information
- affiliation: Macquarie University, Sydney, NSW, Australia
- affiliation (PhD 1988): Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[j12]Luke Rosenberg
, Weiliang Zhao, Anthony Heng, Len Hamey, Si Tran Nguyen, Mehmet A. Orgun:
Classification of ISAR Ship Imagery Using Transfer Learning. IEEE Trans. Aerosp. Electron. Syst. 60(1): 25-36 (2024)- 2021
- [j11]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
Show, tell and summarise: learning to generate and summarise radiology findings from medical images. Neural Comput. Appl. 33(13): 7441-7465 (2021) - [j10]Mahmood Yousefi-Azar, Vijay Varadharajan, Len Hamey, Shiping Chen:
Mutual Information and Feature Importance Gradient Boosting: Automatic byte n-gram feature reranking for Android malware detection. Softw. Pract. Exp. 51(7): 1518-1539 (2021) - 2020
- [j9]Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan, Shiping Chen:
Byte2vec: Malware Representation and Feature Selection for Android. Comput. J. 63(8): 1125-1138 (2020) - [j8]Samundra Deep, Xi Zheng, Chandan K. Karmakar, Dongjin Yu, Leonard G. C. Hamey, Jiong Jin:
A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks. IEEE Commun. Surv. Tutorials 22(1): 352-370 (2020) - [c33]Ava Assadi Abolvardi, Len Hamey, Kevin Ho-Shon:
UNET-Based Multi-Task Architecture for Brain Lesion Segmentation. DICTA 2020: 1-7 - [c32]Maryam Shahpasand, Leonard G. C. Hamey, Mohamed Ali Kâafar, Dinusha Vatsalan:
Feature-Based Adversarial Attacks Against Machine Learnt Mobile Malware Detectors. ITNAC 2020: 1-8
2010 – 2019
- 2019
- [j7]Tahereh Hassanzadeh, Leonard G. C. Hamey, Kevin Ho-Shon:
Convolutional Neural Networks for Prostate Magnetic Resonance Image Segmentation. IEEE Access 7: 36748-36760 (2019) - [c31]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task. CLEF (Working Notes) 2019 - [c30]Ava Assadi Abolvardi, Len Hamey, Kevin Ho-Shon:
Registration Based Data Augmentation for Multiple Sclerosis Lesion Segmentation. DICTA 2019: 1-5 - [c29]Mina Ghaffari, Arcot Sowmya, Ruth Oliver, Len Hamey:
Multimodal Brain Tumour Segmentation using Densely Connected 3D Convolutional Neural Network. DICTA 2019: 1-5 - [c28]Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey:
From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. DICTA 2019: 1-8 - [c27]Omid Mohamad Nezami, Mark Dras, Len Hamey, Deborah Richards, Stephen Wan, Cécile Paris:
Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression. ECML/PKDD (3) 2019: 273-289 - [c26]Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris, Len Hamey:
Towards Generating Stylized Image Captions via Adversarial Training. PRICAI (1) 2019: 270-284 - [i5]Samundra Deep, Xi Zheng, Len Hamey:
A survey of security and privacy issues in the Internet of Things from the layered context. CoRR abs/1903.00846 (2019) - [i4]Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris, Len Hamey:
Towards Generating Stylized Image Captions via Adversarial Training. CoRR abs/1908.02943 (2019) - 2018
- [j6]Mahmood Yousefi-Azar, Leonard G. C. Hamey, Vijay Varadharajan, Shiping Chen:
Malytics: A Malware Detection Scheme. IEEE Access 6: 49418-49431 (2018) - [c25]Saruar Alam, Len Hamey, Kevin Ho-Shon:
Impact of MRI Protocols on Alzheimer's Disease Detection. DICTA 2018: 1-8 - [c24]Yvonne Bachiller, Peter Busch, Manolya Kavakli, Len Hamey:
Survey: Big Data Application in Biomedical Research. ICCAE 2018: 174-178 - [c23]Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan, Shiping Chen:
Learning Latent Byte-Level Feature Representation for Malware Detection. ICONIP (4) 2018: 568-578 - [c22]Sonit Singh, Kevin Ho-Shon, Sarvnaz Karimi, Len Hamey:
Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. IVCNZ 2018: 1-9 - [c21]Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning Using Facial Expression Analysis. ECML/PKDD (1) 2018: 226-240 - [i3]Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan, Shiping Chen:
Malytics: A Malware Detection Scheme. CoRR abs/1803.03465 (2018) - [i2]Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning using Facial Expression Analysis. CoRR abs/1807.02250 (2018) - [i1]Omid Mohamad Nezami, Len Hamey, Deborah Richards, Mark Dras:
Deep Learning for Domain Adaption: Engagement Recognition. CoRR abs/1808.02324 (2018) - 2017
- [j5]Mahmood Yousefi-Azar, Len Hamey:
Text summarization using unsupervised deep learning. Expert Syst. Appl. 68: 93-105 (2017) - [c20]Charles Z. Liu, Manolya Kavakli, Scott McCallum, Len Hamey:
Motion-keying Based Dynamical Scene Layering with Adaptive Learning. ICCAE 2017: 111-115 - [c19]Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan, Mark D. McDonnell:
Fast, Automatic and Scalable Learning to Detect Android Malware. ICONIP (5) 2017: 848-857 - [c18]Mahmood Yousefi-Azar, Vijay Varadharajan, Len Hamey, Udaya Kiran Tupakula:
Autoencoder-based feature learning for cyber security applications. IJCNN 2017: 3854-3861 - [c17]Omid Mohamad Nezami, Debbie Richards, Len Hamey:
Semi-Supervised Detection of Student Engagement. PACIS 2017: 157 - 2016
- [c16]Hessam Jahani Fariman, Hasan J. Alyamani, Manolya Kavakli, Len Hamey:
Designing a user-defined gesture vocabulary for an in-vehicle climate control system. OZCHI 2016: 391-395 - 2015
- [c15]Mahmood Yousefi-Azar, Kairit Sirts, Len Hamey, Diego Mollá Aliod:
Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder. ALTA 2015: 2-10 - [c14]Leonard G. C. Hamey:
A Functional Approach to Border Handling in Image Processing. DICTA 2015: 1-8 - 2014
- [c13]Anthony M. Sloane, Matthew Roberts, Leonard G. C. Hamey:
Respect Your Parents: How Attribution and Rewriting Can Get Along. SLE 2014: 191-210 - 2011
- [j4]Gaurav Gupta, Josef Pieprzyk, Len Hamey:
Bucket attack on numeric set watermarking model and safeguards. Inf. Secur. Tech. Rep. 16(2): 59-66 (2011) - 2010
- [c12]Abeed Sarker, Leonard G. C. Hamey:
Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. DICTA 2010: 417-422
2000 – 2009
- 2009
- [c11]Leonard G. C. Hamey, Russell E. Connally, Simon Wong Too Yen, Thomas S. Lawson, James A. Piper, Jon Iredell:
Luminescent Microspheres Resolved from Strong Background on an Automated Time-Gated Luminescence Microscopy Workstation. DICTA 2009: 223-228 - 2008
- [p1]Leonard G. C. Hamey:
Radiometric Camera Calibration. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [c10]Leonard G. C. Hamey, Timothy Watkins, Simon Wong Too Yen:
Pancam: In-Service Inspection of Locomotive Pantographs. DICTA 2007: 493-499 - [c9]Leonard G. C. Hamey:
Efficient Image Processing with the Apply Language. DICTA 2007: 533-540 - [c8]Leonard G. C. Hamey, Shirley Goldrei:
Implementing a Domain-Specific Language Using Stratego/XT: An Experience Paper. LDTA@ETAPS 2007: 37-51 - 2005
- [c7]Leonard G. C. Hamey:
Simultaneous Estimation of Camera Response Function, _target Reflectance and Irradiance Values. DICTA 2005: 9 - [c6]Leonard G. C. Hamey, Colin Priest:
Automatic Number Plate Recognition for Australian Conditions. DICTA 2005: 14 - 2003
- [c5]Leonard G. C. Hamey:
Teaching Secure Data Communications Using a Game Representation. ACE 2003: 187-196
1990 – 1999
- 1998
- [j3]Leonard G. C. Hamey:
XOR has no local minima: A case study in neural network error surface analysis. Neural Networks 11(4): 669-681 (1998) - [c4]Leonard G. C. Hamey, Jeffrey C.-H. Yeh, Tas Westcott, Samuel K. Y. Sung:
Pre-processing colour images with a self-organising map: baking curve identification and bake image segmentation. ICPR 1998: 1771-1775 - 1995
- [c3]Jeffrey C.-H. Yeh, Leonard G. C. Hamey, Tas Westcott, Samuel K. Y. Sung:
Colour bake inspection system using hybrid artificial neural networks. ICNN 1995: 37-42 - [c2]Tirthankar RayChaudhuri, Leonard G. C. Hamey:
Minimisation of data collection by active learning. ICNN 1995: 1338-1341 - 1994
- [j2]Leonard G. C. Hamey:
Comments on "Can backpropagation error surface not have local minima?". IEEE Trans. Neural Networks 5(5): 844-845 (1994) - 1991
- [c1]Leonard G. C. Hamey:
Benchmarking Feed-Forward Neural Networks: Models and Measures. NIPS 1991: 1167-1174
1980 – 1989
- 1989
- [j1]Leonard G. C. Hamey, Jon A. Webb, I-Chen Wu:
An architecture independent programming language for low-level vision. Comput. Vis. Graph. Image Process. 48(2): 246-264 (1989)
Coauthor Index
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