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Andrew P. Paplinski
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2022
- [j8]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: 61 (2022) - 2021
- [j7]Md. Sazzad Hossain, John M. Betts
, Andrew P. Paplinski:
Dual Focal Loss to address class imbalance in semantic segmentation. Neurocomputing 462: 69-87 (2021)
2010 – 2019
- 2019
- [i2]Md. Sazzad Hossain
Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network. CoRR abs/1903.08814 (2019) - 2018
- [c47]Md Anit Khan, Andrew P. Paplinski, Abdul Malik Khan, M. Manzur Murshed
Exploiting user provided information in dynamic consolidation of virtual machines to minimize energy consumption of cloud data centers. FMEC 2018: 105-114 - [c46]Md. Sazzad Hossain
Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images. ICONIP (7) 2018: 510-521 - [i1]Yanan Li, Haixiang Guo, Andrew P. Paplinski:
Semi-Supervised Classification for oil reservoir. CoRR abs/1804.01675 (2018) - 2017
- [c45]Mohammad Ali Jan Ghasab, Andrew P. Paplinski
Automatic 3D modelling for prostate cancer brachytherapy. ICIP 2017: 4452-4456 - [c44]Mikel Elkano
A Preliminary Approach to Semi-supervised Learning in Convolutional Neural Networks Applying "Sleep-Wake" Cycles. ICONIP (4) 2017: 466-474 - [c43]S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski:
Parameter-free hierarchical image segmentation. VCIP 2017: 1-4 - 2016
- [c42]S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
Hierarchical Mutual Nearest Neighbour Image Segmentation. DICTA 2016: 1-8 - [c41]Andrew P. Paplinski
Self-organization on a Sphere with Application to Topological Ordering of Chinese Characters. ICONIP (4) 2016: 452-459 - 2015
- [c40]Nitin K. Mahadeo, Gholamreza Haffari, Andrew P. Paplinski
Predicting segmentation errors in an iris recognition system. ICB 2015: 23-30 - 2014
- [c39]Nitin K. Mahadeo, Andrew P. Paplinski
Optimization of Iris Codes for Improved Recognition. CVPR Workshops 2014: 48-55 - [c38]Lennart Gustafsson, Tamas Jantvik, Andrew P. Paplinski
A Self-organized artificial neural network architecture that generates the McGurk effect. IJCNN 2014: 3974-3980 - [c37]Andrew P. Paplinski
Transferring knowledge between learning systems. ISDA 2014: 119-123 - 2013
- [c36]Nitin K. Mahadeo, Andrew P. Paplinski
Automated Selection of Optimal Frames in NIR Iris Videos. DICTA 2013: 1-8 - [c35]Nitin K. Mahadeo, Andrew P. Paplinski
Robust Video Based Iris Segmentation System in Less Constrained Environments. DICTA 2013: 1-8 - [c34]Andrew P. Paplinski
Bimodal Incremental Self-Organizing Network (BiSON) with Application to Learning Chinese Characters. ICONIP (1) 2013: 121-128 - [c33]Andrew P. Paplinski
The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects. ISNN (1) 2013: 523-531 - 2012
- [c32]Andrew P. Paplinski
Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects. ICONIP (2) 2012: 125-132 - [c31]Dror Cohen, Andrew P. Paplinski
The Elastic Net as Visual Category Representation: Visualisation and Classification. ICONIP (2) 2012: 133-140 - [c30]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: 1-8 - [c29]Hiran Ganegedara, Damminda Alahakoon, John Mashford, Andrew P. Paplinski
Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections. IJCNN 2012: 1-8 - [c28]Nitin K. Mahadeo, Andrew P. Paplinski
Model-based pupil and iris localization. IJCNN 2012: 1-7 - [c27]Andrew P. Paplinski
Rotation-invariant categorization of colour images using the Radon transform. IJCNN 2012: 1-6 - 2011
- [j6]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): 2101-2139 (2011) - [c26]Andrew P. Paplinski
A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts. ICONIP (1) 2011: 413-422 - 2010
- [j5]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) - [c25]Andrew P. Paplinski
Rotation Invariant Categorization of Visual Objects Using Radon Transform and Self-Organizing Modules. ICONIP (2) 2010: 360-366
2000 – 2009
- 2009
- [c24]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: 138-145 - [c23]Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski
Orthogonal Distance Least Squares Fitting: A Novel Approach. VISIGRAPP (Selected Papers) 2009: 255-268 - 2008
- [c22]Nathan Faggian, Andrew P. Paplinski
3D Morphable Model fitting from multiple views. FG 2008: 1-6 - 2007
- [c21]Sharon M. Chou, Andrew P. Paplinski
Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. IJCNN 2007: 248-253 - 2006
- [c20]Andrew P. Paplinski
Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli. Australian Conference on Artificial Intelligence 2006: 19-28 - [c19]Nathan Faggian, Andrew P. Paplinski
3D Morphable Model Parameter Estimation. Australian Conference on Artificial Intelligence 2006: 519-528 - [c18]Nathan Faggian, Andrew P. Paplinski
Active Appearance Models for Automatic Fitting of 3D Morphable Models. AVSS 2006: 90 - [c17]Sudanthi N. R. Wijewickrema, Andrew P. Paplinski
Reconstruction of Spheres using Occluding Contours from Stereo Images. ICPR (1) 2006: 151-154 - [c16]Nathan Faggian, Andrew P. Paplinski
Face Recognition From Video using Active Appearance Model Segmentation. ICPR (1) 2006: 287-290 - [c15]Lennart Gustafsson, Andrew P. Paplinski:
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks. IJCNN 2006: 312-318 - 2005
- [j4]Pengfei Xu, Chip-Hong Chang
Self-organizing topological tree for online vector quantization and data clustering. IEEE Trans. Syst. Man Cybern. Part B 35(3): 515-526 (2005) - [c14]Andrew P. Paplinski
Multimodal FeedForward Self-organizing Maps. CIS (1) 2005: 81-88 - [c13]Nathan Faggian, Sami Romdhani, Jamie Sherrah, Andrew P. Paplinski:
Color Active Appearance Model Analysis Using a 3D Morphable Model. DICTA 2005: 59 - [c12]Daniel F. Schmidt, Andrew P. Paplinski
Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks. ICRA 2005: 2368-2374 - 2004
- [c11]Robert Prain, Andrew P. Paplinski
A Distributed Arithmetic Online Rotator for Signal Processing Applications. DSD 2004: 459-466 - [c10]Daniel F. Schmidt, Gordon S. Lowe, Andrew P. Paplinski:
On the Design of a Hydraulically Actuated Finger for Dexterous Manipulation. ICRA 2004: 1239-1244 - 2003
- [c9]Andrew P. Paplinski, Lennart Gustafsson:
Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism. ICANN 2003: 830-838 - [c8]Lennart Gustafsson, Andrew P. Paplinski:
Preoccupation with a Restricted Pattern of Interest in Modelling Autistic Learning. KES 2003: 1122-1129 - 2001
- [c7]Andrew P. Paplinski
Rotating Ultrasonic Signal Vectors with a Word-Parallel CORDIC Processor. DSD 2001: 254-261 - [c6]Andrew P. Paplinski
Current improvements in interpretation of posterior capsular opacification images. ISSPA 2001: 218-221 - 2000
- [c5]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 - [c4]Andrew P. Paplinski, James Frederick Boyce, Sarah A. Barman:
Improvements in interpretation of posterior capsular opacification (PCO) images. Medical Imaging: Image Processing 2000
1990 – 1999
- 1998
- [j3]Andrew P. Paplinski
Directional filtering in edge detection. IEEE Trans. Image Process. 7(4): 611-615 (1998) - 1997
- [j2]Mikhail Shnaider, Andrew P. Paplinski:
Image Coding throughDLattice Quantization of Wavelet Coefficients. CVGIP Graph. Model. Image Process. 59(4): 193-204 (1997) - 1996
- [c3]Mikhail Shnaider, Andrew P. Paplinski:
Compression of Fingerprint Images Using Wavelet Transform and Vector Quantization. ISSPA 1996: 437-440 - 1995
- [c2]Murray W. Mount, Andrew P. Paplinski:
2D simulations of cortical networks in a neural processor array model. ICNN 1995: 947-952 - [c1]Murray W. Mount, Andrew P. Paplinski:
Signal Transfer and Basic Learning in a Biologically-Motivated Neural Processor Model. IEA/AIE 1995: 35-44 - 1994
- [j1]Zhihong Man, Andrew P. Paplinski
A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators. IEEE Trans. Autom. Control. 39(12): 2464-2469 (1994)
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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