Andrew P. Paplinski

58 papers A* 2B 14C 6Misc 4Journal 10Unranked 22
YearRankTypeTitle / Venue / Authors
2022 J jnl
Corrigendum to "Dual Focal Loss to address class imbalance in semantic segmentation" [Neurocomputing 462 (2021) 69-87].
Neurocomputing
Md. Sazzad Hossain, John M. Betts, Andrew P. Paplinski
2021 J jnl
Dual Focal Loss to address class imbalance in semantic segmentation.
Neurocomputing
Md. Sazzad Hossain, John M. Betts, Andrew P. Paplinski
2019 J jnl
Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network.
CoRR
Md. Sazzad Hossain, Andrew P. Paplinski, John M. Betts
2018 — conf
Exploiting user provided information in dynamic consolidation of virtual machines to minimize energy consumption of cloud data centers.
FMEC
Md Anit Khan, Andrew P. Paplinski, Abdul Malik Khan, M. Manzur Murshed, Rajkumar Buyya
2018 — conf
Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images.
ICONIP (7)
Md. Sazzad Hossain, Andrew P. Paplinski, John M. Betts
2018 J jnl
Semi-Supervised Classification for oil reservoir.
CoRR
Yanan Li, Haixiang Guo, Andrew P. Paplinski
2017 — conf
A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles.
ICONIP (4)
Mikel Elkano, Humberto Bustince, Andrew P. Paplinski
2017 B conf
Automatic 3D modelling for prostate cancer brachytherapy.
ICIP
Mohammad Ali Jan Ghasab, Andrew P. Paplinski, John M. Betts, Hayley M. Reynolds, Annette Haworth
2017 C conf
Parameter-free hierarchical image segmentation.
VCIP
S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
2016 Misc conf
Hierarchical Mutual Nearest Neighbour Image Segmentation.
DICTA
S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
2016 — conf
Self-organization on a Sphere with Application to Topological Ordering of Chinese Characters.
ICONIP (4)
Andrew P. Paplinski
2015 — conf
Predicting segmentation errors in an iris recognition system.
ICB
Nitin K. Mahadeo, Gholamreza Haffari, Andrew P. Paplinski
2014 B conf
A Self-organized artificial neural network architecture that generates the McGurk effect.
IJCNN
Lennart Gustafsson, Tamas Jantvik, Andrew P. Paplinski
2014 — conf
Optimization of Iris Codes for Improved Recognition.
CVPR Workshops
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
2014 C conf
Transferring knowledge between learning systems.
ISDA
Andrew P. Paplinski, William M. Mount
2013 Misc conf
Automated Selection of Optimal Frames in NIR Iris Videos.
DICTA
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
2013 — conf
Bimodal Incremental Self-Organizing Network (BiSON) with Application to Learning Chinese Characters.
ICONIP (1)
Andrew P. Paplinski, William M. Mount
2013 Misc conf
Robust Video Based Iris Segmentation System in Less Constrained Environments.
DICTA
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
2013 — conf
The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects.
ISNN (1)
Andrew P. Paplinski
2012 B conf
A comparative evaluation of the Generative Topographic Mapping and the Elastic Net for the formation of Ocular Dominance stripes.
IJCNN
Dror Cohen, Andrew P. Paplinski
2012 — conf
Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects.
ICONIP (2)
Andrew P. Paplinski
2012 B conf
Model-based pupil and iris localization.
IJCNN
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
2012 B conf
Rotation-invariant categorization of colour images using the Radon transform.
IJCNN
Andrew P. Paplinski
2012 B conf
Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections.
IJCNN
Hiran Ganegedara, Damminda Alahakoon, John Mashford, Andrew P. Paplinski, Karsten Müller, Thomas Martin Deserno
2012 — conf
The Elastic Net as Visual Category Representation: Visualisation and Classification.
ICONIP (2)
Dror Cohen, Andrew P. Paplinski
2011 — conf
A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts.
ICONIP (1)
Andrew P. Paplinski, Lennart Gustafsson, William M. Mount
2011 J jnl
A Self-Organized Artificial Neural Network Architecture for Sensory Integration with Applications to Letter-Phoneme Integration.
Neural Comput.
Tamas Jantvik, Lennart Gustafsson, Andrew P. Paplinski
2010 J jnl
A Model of Binding Concepts to Spoken Names.
Aust. J. Intell. Inf. Process. Syst.
Andrew P. Paplinski, Lennart Gustafsson, William M. Mount
2010 — conf
Rotation Invariant Categorization of Visual Objects Using Radon Transform and Self-Organizing Modules.
ICONIP (2)
Andrew P. Paplinski
2009 — conf
A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics.
VISAPP (1)
Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski
2009 — conf
Orthogonal Distance Least Squares Fitting: A Novel Approach.
VISIGRAPP (Selected Papers)
Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski
2008 B conf
3D Morphable Model fitting from multiple views.
FG
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
2007 B conf
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks.
IJCNN
Sharon M. Chou, Andrew P. Paplinski, Lennart Gustafsson
2006 — conf
3D Morphable Model Parameter Estimation.
Australian Conference on Artificial Intelligence
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
2006 B conf
Active Appearance Models for Automatic Fitting of 3D Morphable Models.
AVSS
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
2006 B conf
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks.
IJCNN
Lennart Gustafsson, Andrew P. Paplinski
2006 — conf
Face Recognition From Video using Active Appearance Model Segmentation.
ICPR (1)
Nathan Faggian, Andrew P. Paplinski, Tat-Jun Chin
2006 — conf
Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli.
Australian Conference on Artificial Intelligence
Andrew P. Paplinski, Lennart Gustafsson
2006 — conf
Reconstruction of Spheres using Occluding Contours from Stereo Images.
ICPR (1)
Sudanthi N. R. Wijewickrema, Andrew P. Paplinski, Charles E. Esson
2005 A* conf
Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks.
ICRA
Daniel F. Schmidt, Andrew P. Paplinski, Gordon S. Lowe
2005 Misc conf
Color Active Appearance Model Analysis Using a 3D Morphable Model.
DICTA
Nathan Faggian, Sami Romdhani, Jamie Sherrah, Andrew P. Paplinski
2005 — conf
Multimodal FeedForward Self-organizing Maps.
CIS (1)
Andrew P. Paplinski, Lennart Gustafsson
2005 J jnl
Self-organizing topological tree for online vector quantization and data clustering.
IEEE Trans. Syst. Man Cybern. Part B
Pengfei Xu, Chip-Hong Chang, Andrew P. Paplinski
2004 C conf
A Distributed Arithmetic Online Rotator for Signal Processing Applications.
DSD
Robert Prain, Andrew P. Paplinski
2004 B conf
An attempt in modelling early intervention in autism using neural networks.
IJCNN
Andrew P. Paplinski, Lennart Gustafsson
2004 A* conf
On the Design of a Hydraulically Actuated Finger for Dexterous Manipulation.
ICRA
Daniel F. Schmidt, Gordon S. Lowe, Andrew P. Paplinski
2003 C conf
Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism.
ICANN
Andrew P. Paplinski, Lennart Gustafsson
2003 B conf
Preoccupation with a Restricted Pattern of Interest in Modelling Autistic Learning.
KES
Lennart Gustafsson, Andrew P. Paplinski
2001 — conf
Current improvements in interpretation of posterior capsular opacification images.
ISSPA
Andrew P. Paplinski
2001 C conf
Rotating Ultrasonic Signal Vectors with a Word-Parallel CORDIC Processor.
DSD
Andrew P. Paplinski, Nandita Bhattacharjee, Charles Greif
2000 B conf
Automatic quantification of posterior capsule opacification.
Image Processing
Sarah A. Barman, Bunyarit Uyyanonvara, James Frederick Boyce, Giorgia Sanguinetti, Emma J. Hollick, William R. Meacock, David J. Spalton, Andrew P. Paplinski
2000 B conf
Improvements in interpretation of posterior capsular opacification (PCO) images.
Image Processing
Andrew P. Paplinski, James Frederick Boyce, Sarah A. Barman
1998 J jnl
Directional filtering in edge detection.
IEEE Trans. Image Process.
Andrew P. Paplinski
1997 J jnl
Image Coding throughDLattice Quantization of Wavelet Coefficients.
CVGIP Graph. Model. Image Process.
Mikhail Shnaider, Andrew P. Paplinski
1996 — conf
Compression of Fingerprint Images Using Wavelet Transform and Vector Quantization.
ISSPA
Mikhail Shnaider, Andrew P. Paplinski
1995 — conf
2D simulations of cortical networks in a neural processor array model.
ICNN
Murray W. Mount, Andrew P. Paplinski
1995 C conf
Signal Transfer and Basic Learning in a Biologically-Motivated Neural Processor Model.
IEA/AIE
Murray W. Mount, Andrew P. Paplinski
1994 J jnl
A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators.
IEEE Trans. Autom. Control.
Zhihong Man, Andrew P. Paplinski, Hong Ren Wu