A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators. - Zhihong Man; Andrew P. Paplinski; Hong Ren Wu (IEEE Trans. Autom. Control., 1994)

2D simulations of cortical networks in a neural processor array model. - Murray W. Mount; Andrew P. Paplinski (ICNN, 1995)

Signal Transfer and Basic Learning in a Biologically-Motivated Neural Processor Model. - Murray W. Mount; Andrew P. Paplinski (IEA/AIE, 1995)

Compression of Fingerprint Images Using Wavelet Transform and Vector Quantization. - Mikhail Shnaider; Andrew P. Paplinski (ISSPA, 1996)

Image Coding throughDLattice Quantization of Wavelet Coefficients. - Mikhail Shnaider; Andrew P. Paplinski (CVGIP Graph. Model. Image Process., 1997)

Directional filtering in edge detection. - Andrew P. Paplinski (IEEE Trans. Image Process., 1998)

Automatic quantification of posterior capsule opacification. - Sarah A. Barman; Bunyarit Uyyanonvara; James Frederick Boyce; Giorgia Sanguinetti; Emma J. Hollick; William R. Meacock; David J. Spalton; Andrew P. Paplinski (Image Processing, 2000)

Improvements in interpretation of posterior capsular opacification (PCO) images. - Andrew P. Paplinski; James Frederick Boyce; Sarah A. Barman (Image Processing, 2000)

Rotating Ultrasonic Signal Vectors with a Word-Parallel CORDIC Processor. - Andrew P. Paplinski; Nandita Bhattacharjee; Charles Greif (DSD, 2001)

Current improvements in interpretation of posterior capsular opacification images. - Andrew P. Paplinski (ISSPA, 2001)

Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism. - Andrew P. Paplinski; Lennart Gustafsson (ICANN, 2003)

Preoccupation with a Restricted Pattern of Interest in Modelling Autistic Learning. - Lennart Gustafsson; Andrew P. Paplinski (KES, 2003)

A Distributed Arithmetic Online Rotator for Signal Processing Applications. - Robert Prain; Andrew P. Paplinski (DSD, 2004)

On the Design of a Hydraulically Actuated Finger for Dexterous Manipulation. - Daniel F. Schmidt; Gordon S. Lowe; Andrew P. Paplinski (ICRA, 2004)

An attempt in modelling early intervention in autism using neural networks. - Andrew P. Paplinski; Lennart Gustafsson (IJCNN, 2004)

Multimodal FeedForward Self-organizing Maps. - Andrew P. Paplinski; Lennart Gustafsson (CIS (1), 2005)

Color Active Appearance Model Analysis Using a 3D Morphable Model. - Nathan Faggian; Sami Romdhani; Jamie Sherrah; Andrew P. Paplinski (DICTA, 2005)

Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks. - Daniel F. Schmidt; Andrew P. Paplinski; Gordon S. Lowe (ICRA, 2005)

Self-organizing topological tree for online vector quantization and data clustering. - Pengfei Xu 009; Chip-Hong Chang; Andrew P. Paplinski (IEEE Trans. Syst. Man Cybern. Part B, 2005)

3D Morphable Model Parameter Estimation. - Nathan Faggian; Andrew P. Paplinski; Jamie Sherrah (Australian Conference on Artificial Intelligence, 2006)

Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli. - Andrew P. Paplinski; Lennart Gustafsson (Australian Conference on Artificial Intelligence, 2006)

Active Appearance Models for Automatic Fitting of 3D Morphable Models. - Nathan Faggian; Andrew P. Paplinski; Jamie Sherrah (AVSS, 2006)

Face Recognition From Video using Active Appearance Model Segmentation. - Nathan Faggian; Andrew P. Paplinski; Tat-Jun Chin (ICPR (1), 2006)

Reconstruction of Spheres using Occluding Contours from Stereo Images. - Sudanthi N. R. Wijewickrema; Andrew P. Paplinski; Charles E. Esson (ICPR (1), 2006)

Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. - Lennart Gustafsson; Andrew P. Paplinski (IJCNN, 2006)

Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. - Sharon M. Chou; Andrew P. Paplinski; Lennart Gustafsson (IJCNN, 2007)

3D Morphable Model fitting from multiple views. - Nathan Faggian; Andrew P. Paplinski; Jamie Sherrah (FG, 2008)

A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics. - Sudanthi N. R. Wijewickrema; Charles E. Esson; Andrew P. Paplinski (VISAPP (1), 2009)

Orthogonal Distance Least Squares Fitting: A Novel Approach. - Sudanthi N. R. Wijewickrema; Charles E. Esson; Andrew P. Paplinski (VISIGRAPP (Selected Papers), 2009)

Rotation Invariant Categorization of Visual Objects Using Radon Transform and Self-Organizing Modules. - Andrew P. Paplinski (ICONIP (2), 2010)

A Model of Binding Concepts to Spoken Names. - Andrew P. Paplinski; Lennart Gustafsson; William M. Mount (Aust. J. Intell. Inf. Process. Syst., 2010)

A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts. - Andrew P. Paplinski; Lennart Gustafsson; William M. Mount (ICONIP (1), 2011)

A Self-Organized Artificial Neural Network Architecture for Sensory Integration with Applications to Letter-Phoneme Integration. - Tamas Jantvik; Lennart Gustafsson; Andrew P. Paplinski (Neural Comput., 2011)

The Elastic Net as Visual Category Representation: Visualisation and Classification. - Dror Cohen; Andrew P. Paplinski (ICONIP (2), 2012)

Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects. - Andrew P. Paplinski (ICONIP (2), 2012)

A comparative evaluation of the Generative Topographic Mapping and the Elastic Net for the formation of Ocular Dominance stripes. - Dror Cohen; Andrew P. Paplinski (IJCNN, 2012)

Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections. - Hiran Ganegedara; Damminda Alahakoon; John Mashford; Andrew P. Paplinski; Karsten Müller 005; Thomas Martin Deserno (IJCNN, 2012)

Model-based pupil and iris localization. - Nitin K. Mahadeo; Andrew P. Paplinski; Sid Ray (IJCNN, 2012)

Rotation-invariant categorization of colour images using the Radon transform. - Andrew P. Paplinski (IJCNN, 2012)

Automated Selection of Optimal Frames in NIR Iris Videos. - Nitin K. Mahadeo; Andrew P. Paplinski; Sid Ray (DICTA, 2013)

Robust Video Based Iris Segmentation System in Less Constrained Environments. - Nitin K. Mahadeo; Andrew P. Paplinski; Sid Ray (DICTA, 2013)

Bimodal Incremental Self-Organizing Network (BiSON) with Application to Learning Chinese Characters. - Andrew P. Paplinski; William M. Mount (ICONIP (1), 2013)

The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects. - Andrew P. Paplinski (ISNN (1), 2013)

Optimization of Iris Codes for Improved Recognition. - Nitin K. Mahadeo; Andrew P. Paplinski; Sid Ray (CVPR Workshops, 2014)

A Self-organized artificial neural network architecture that generates the McGurk effect. - Lennart Gustafsson; Tamas Jantvik; Andrew P. Paplinski (IJCNN, 2014)

Transferring knowledge between learning systems. - Andrew P. Paplinski; William M. Mount (ISDA, 2014)

Predicting segmentation errors in an iris recognition system. - Nitin K. Mahadeo; Gholamreza Haffari; Andrew P. Paplinski (ICB, 2015)

Hierarchical Mutual Nearest Neighbour Image Segmentation. - S. M. Abdullah; Peter E. Tischer; Sudanthi N. R. Wijewickrema; Andrew P. Paplinski (DICTA, 2016)

Self-organization on a Sphere with Application to Topological Ordering of Chinese Characters. - Andrew P. Paplinski (ICONIP (4), 2016)

Automatic 3D modelling for prostate cancer brachytherapy. - Mohammad Ali Jan Ghasab; Andrew P. Paplinski; John M. Betts; Hayley M. Reynolds; Annette Haworth (ICIP, 2017)

A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles. - Mikel Elkano; Humberto Bustince; Andrew P. Paplinski (ICONIP (4), 2017)

Parameter-free hierarchical image segmentation. - S. M. Abdullah; Peter E. Tischer; Sudanthi N. R. Wijewickrema; Andrew P. Paplinski (VCIP, 2017)

Exploiting user provided information in dynamic consolidation of virtual machines to minimize energy consumption of cloud data centers. - Md Anit Khan; Andrew P. Paplinski; Abdul Malik Khan; M. Manzur Murshed; Rajkumar Buyya (FMEC, 2018)

Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images. - Md. Sazzad Hossain; Andrew P. Paplinski; John M. Betts (ICONIP (7), 2018)

Semi-Supervised Classification for oil reservoir. - Yanan Li 003; Haixiang Guo; Andrew P. Paplinski (CoRR, 2018)

Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network. - Md. Sazzad Hossain; Andrew P. Paplinski; John M. Betts (CoRR, 2019)

Dual Focal Loss to address class imbalance in semantic segmentation. - Md. Sazzad Hossain; John M. Betts; Andrew P. Paplinski (Neurocomputing, 2021)

Corrigendum to "Dual Focal Loss to address class imbalance in semantic segmentation" [Neurocomputing 462 (2021) 69-87]. - Md. Sazzad Hossain; John M. Betts; Andrew P. Paplinski (Neurocomputing, 2022)