Andrew P. Paplinski

Publication Activity (10 Years)

Years Active: 1994-2022
Publications (10 Years): 12

Top Topics

Semantic Segmentation

Prostate Segmentation

Class Imbalance

Top Venues

Publications

Md Sazzad Hossain, John M. Betts, Andrew P. Paplinski
Corrigendum to "Dual Focal Loss to address class imbalance in semantic segmentation" [Neurocomputing 462 (2021) 69-87]. Neurocomputing 477 (2022)
Md Sazzad Hossain, John M. Betts, Andrew P. Paplinski
Dual Focal Loss to address class imbalance in semantic segmentation. Neurocomputing 462 (2021)
Md Sazzad Hossain, Andrew P. Paplinski, John M. Betts
Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network. CoRR (2019)
Md Anit Khan, Andrew P. Paplinski, Abdul Malik Khan, M. Manzur Murshed, Rajkumar Buyya
Exploiting user provided information in dynamic consolidation of virtual machines to minimize energy consumption of cloud data centers. FMEC (2018)
Yanan Li, Haixiang Guo, Andrew P. Paplinski
Semi-Supervised Classification for oil reservoir. CoRR (2018)
Md Sazzad Hossain, Andrew P. Paplinski, John M. Betts
Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images. ICONIP (7) (2018)
Mikel Elkano, Humberto Bustince, Andrew P. Paplinski
A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles. ICONIP (4) (2017)
S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
Parameter-free hierarchical image segmentation. VCIP (2017)
Mohammad Ali Jan Ghasab, Andrew P. Paplinski, John M. Betts, Hayley M. Reynolds, Annette Haworth
Automatic 3D modelling for prostate cancer brachytherapy. ICIP (2017)
S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
Hierarchical Mutual Nearest Neighbour Image Segmentation. DICTA (2016)
Andrew P. Paplinski
Self-organization on a Sphere with Application to Topological Ordering of Chinese Characters. ICONIP (4) (2016)
Nitin K. Mahadeo, Gholamreza Haffari, Andrew P. Paplinski
Predicting segmentation errors in an iris recognition system. ICB (2015)
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
Optimization of Iris Codes for Improved Recognition. CVPR Workshops (2014)
Andrew P. Paplinski, William M. Mount
Transferring knowledge between learning systems. ISDA (2014)
Lennart Gustafsson, Tamas Jantvik, Andrew P. Paplinski
A Self-organized artificial neural network architecture that generates the McGurk effect. IJCNN (2014)
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
Robust Video Based Iris Segmentation System in Less Constrained Environments. DICTA (2013)
Andrew P. Paplinski
The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects. ISNN (1) (2013)
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
Automated Selection of Optimal Frames in NIR Iris Videos. DICTA (2013)
Andrew P. Paplinski, William M. Mount
Bimodal Incremental Self-Organizing Network (BiSON) with Application to Learning Chinese Characters. ICONIP (1) (2013)
Nitin K. Mahadeo, Andrew P. Paplinski, Sid Ray
Model-based pupil and iris localization. IJCNN (2012)
Dror Cohen, Andrew P. Paplinski
The Elastic Net as Visual Category Representation: Visualisation and Classification. ICONIP (2) (2012)
Andrew P. Paplinski
Rotation-invariant categorization of colour images using the Radon transform. IJCNN (2012)
Andrew P. Paplinski
Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects. ICONIP (2) (2012)
Dror Cohen, Andrew P. Paplinski
A comparative evaluation of the Generative Topographic Mapping and the Elastic Net for the formation of Ocular Dominance stripes. IJCNN (2012)
Hiran Ganegedara, Damminda Alahakoon, John Mashford, Andrew P. Paplinski, Karsten Müller, Thomas Martin Deserno
Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections. IJCNN (2012)
Andrew P. Paplinski, Lennart Gustafsson, William M. Mount
A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts. ICONIP (1) (2011)
Tamas Jantvik, Lennart Gustafsson, Andrew P. Paplinski
A Self-Organized Artificial Neural Network Architecture for Sensory Integration with Applications to Letter-Phoneme Integration. Neural Comput. 23 (8) (2011)
Andrew P. Paplinski, Lennart Gustafsson, William M. Mount
A Model of Binding Concepts to Spoken Names. Aust. J. Intell. Inf. Process. Syst. 11 (2) (2010)
Andrew P. Paplinski
Rotation Invariant Categorization of Visual Objects Using Radon Transform and Self-Organizing Modules. ICONIP (2) (2010)
Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski
Orthogonal Distance Least Squares Fitting: A Novel Approach. VISIGRAPP (Selected Papers) (2009)
Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski
A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics. VISAPP (1) (2009)
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
3D Morphable Model fitting from multiple views. FG (2008)
Sharon M. Chou, Andrew P. Paplinski, Lennart Gustafsson
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. IJCNN (2007)
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
Active Appearance Models for Automatic Fitting of 3D Morphable Models. AVSS (2006)
Andrew P. Paplinski, Lennart Gustafsson
Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli. Australian Conference on Artificial Intelligence (2006)
Lennart Gustafsson, Andrew P. Paplinski
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. IJCNN (2006)
Nathan Faggian, Andrew P. Paplinski, Tat-Jun Chin
Face Recognition From Video using Active Appearance Model Segmentation. ICPR (1) (2006)
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
3D Morphable Model Parameter Estimation. Australian Conference on Artificial Intelligence (2006)
Sudanthi N. R. Wijewickrema, Andrew P. Paplinski, Charles E. Esson
Reconstruction of Spheres using Occluding Contours from Stereo Images. ICPR (1) (2006)
Nathan Faggian, Sami Romdhani, Jamie Sherrah, Andrew P. Paplinski
Color Active Appearance Model Analysis Using a 3D Morphable Model. DICTA (2005)
Daniel F. Schmidt, Andrew P. Paplinski, Gordon S. Lowe
Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks. ICRA (2005)
Andrew P. Paplinski, Lennart Gustafsson
Multimodal FeedForward Self-organizing Maps. CIS (1) (2005)
Pengfei Xu, Chip-Hong Chang, Andrew P. Paplinski
Self-organizing topological tree for online vector quantization and data clustering. IEEE Trans. Syst. Man Cybern. Part B 35 (3) (2005)
Daniel F. Schmidt, Gordon S. Lowe, Andrew P. Paplinski
On the Design of a Hydraulically Actuated Finger for Dexterous Manipulation. ICRA (2004)
Robert Prain, Andrew P. Paplinski
A Distributed Arithmetic Online Rotator for Signal Processing Applications. DSD (2004)
Andrew P. Paplinski, Lennart Gustafsson
Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism. ICANN (2003)
Lennart Gustafsson, Andrew P. Paplinski
Preoccupation with a Restricted Pattern of Interest in Modelling Autistic Learning. KES (2003)
Andrew P. Paplinski
Current improvements in interpretation of posterior capsular opacification images. ISSPA (2001)
Andrew P. Paplinski, Nandita Bhattacharjee, Charles Greif
Rotating Ultrasonic Signal Vectors with a Word-Parallel CORDIC Processor. DSD (2001)
Sarah A. Barman, Bunyarit Uyyanonvara, James Frederick Boyce, Giorgia Sanguinetti, Emma J. Hollick, William R. Meacock, David J. Spalton, Andrew P. Paplinski
Automatic quantification of posterior capsule opacification. Medical Imaging: Image Processing (2000)
Andrew P. Paplinski, James Frederick Boyce, Sarah A. Barman
Improvements in interpretation of posterior capsular opacification (PCO) images. Medical Imaging: Image Processing (2000)
Andrew P. Paplinski
Directional filtering in edge detection. IEEE Trans. Image Process. 7 (4) (1998)
Mikhail Shnaider, Andrew P. Paplinski
Image Coding throughDLattice Quantization of Wavelet Coefficients. CVGIP Graph. Model. Image Process. 59 (4) (1997)
Mikhail Shnaider, Andrew P. Paplinski
Compression of Fingerprint Images Using Wavelet Transform and Vector Quantization. ISSPA (1996)
Murray W. Mount, Andrew P. Paplinski
2D simulations of cortical networks in a neural processor array model. ICNN (1995)
Murray W. Mount, Andrew P. Paplinski
Signal Transfer and Basic Learning in a Biologically-Motivated Neural Processor Model. IEA/AIE (1995)
Zhihong Man, Andrew P. Paplinski, Hong Ren Wu
A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators. IEEE Trans. Autom. Control. 39 (12) (1994)