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ORCIDAntónio R. C. Paiva
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2010 – 2019
- 2017
[c19]António R. C. Paiva:
Information-theoretic dataset selection for fast kernel learning. IJCNN 2017: 2088-2095- 2013
- [j10]Elizabeth Jurrus, Shigeki Watanabe
, Richard J. Giuly, António R. C. Paiva, Mark H. Ellisman, Erik M. Jorgensen, Tolga Tasdizen:
Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images. Neuroinformatics 11(1): 5-29 (2013) - [j9]Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe:
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. 30(4): 149-160 (2013) - 2012
- [j8]António R. C. Paiva, Tolga Tasdizen:
Fingerprint Image Segmentation using Data Manifold Characteristic Features. Int. J. Pattern Recognit. Artif. Intell. 26(4) (2012) - 2011
- [c18]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Fast AdaBoost training using weighted novelty selection. IJCNN 2011: 1245-1250 - [c17]Luke Hogrebe, António R. C. Paiva, Elizabeth Jurrus, Cameron Christensen, Michael Bridge, Julie R. Korenberg, Tolga Tasdizen:
Trace driven registration of neuron confocal microscopy stacks. ISBI 2011: 1345-1348 - 2010
- [j7]Elizabeth Jurrus, António R. C. Paiva, Shigeki Watanabe, James R. Anderson, Bryan W. Jones, Ross T. Whitaker, Erik M. Jorgensen, Robert Marc, Tolga Tasdizen:
Detection of neuron membranes in electron microscopy images using a serial neural network architecture. Medical Image Anal. 14(6): 770-783 (2010) - [j6]António R. C. Paiva, Il Park, José C. Príncipe:
A comparison of binless spike train measures. Neural Comput. Appl. 19(3): 405-419 (2010) - [c16]António R. C. Paiva, Tolga Tasdizen:
Fast semi-supervised image segmentation by novelty selection. ICASSP 2010: 1054-1057 - [c15]António R. C. Paiva, Tolga Tasdizen:
Detection of Salient Image Points Using Principal Subspace Manifold Structure. ICPR 2010: 1389-1392 - [c14]António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen:
Using Sequential Context for Image Analysis. ICPR 2010: 2800-2803 - [c13]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Image Parsing with a Three-State Series Neural Network Classifier. ICPR 2010: 4508-4511 - [p1]Jian-Wu Xu, Robert Jenssen, António R. C. Paiva, Il Park:
A Reproducing Kernel Hilbert Space Framework for ITL. Information Theoretic Learning 2010: 351-384
2000 – 2009
- 2009
- [j5]António R. C. Paiva, Il Park, José C. Príncipe:
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing. Neural Comput. 21(2): 424-449 (2009) - [j4]Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces. Neural Comput. 21(10): 2894-2930 (2009) - [c12]Kannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen:
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. ISBI 2009: 1039-1042 - 2008
- [j3]Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe:
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. IEEE Trans. Signal Process. 56(12): 5891-5902 (2008) - [c11]António R. C. Paiva, Il Park, José C. Príncipe:
Reproducing kernel Hilbert spaces for spike train analysis. ICASSP 2008: 5212-5215 - 2007
- [j2]Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe:
Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks 20(2): 274-284 (2007) - [c10]António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe:
Spectral Clustering of Synchronous Spike Trains. IJCNN 2007: 1831-1835 - [c9]Sudhir Rao, António R. C. Paiva, José C. Príncipe:
A Novel Weighted LBG Algorithm for Neural Spike Compression. IJCNN 2007: 1883-1887 - [c8]Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris:
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. IJCNN 2007: 2064-2068 - [c7]Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. IJCNN 2007: 2250-2255 - [c6]Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. IJCNN 2007: 3062-3067 - 2006
- [j1]Armando J. Pinho, António R. C. Paiva, António J. R. Neves:
On the use of standards for microarray lossless image compression. IEEE Trans. Biomed. Eng. 53(3): 563-566 (2006) - [c5]António R. C. Paiva, José C. Príncipe, Justin C. Sanchez:
Gravity Transform for Input Conditioning in Brain Machine Interfaces. EMBC 2006: 4261-4264 - [c4]António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe:
Kernel Principal Components Are Maximum Entropy Projections. ICA 2006: 846-853 - [c3]Yiwen Wang, António R. C. Paiva, José C. Príncipe:
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN 2006: 1846-1850 - [c2]Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe:
Nonlinear Component Analysis Based on Correntropy. IJCNN 2006: 1851-1855 - 2004
- [c1]António R. C. Paiva, Armando J. Pinho:
Evaluation of Some Reordering Techniques for Image VQ Index Compression. ICIAR (1) 2004: 302-309
Coauthor Index
aka: José Carlos Príncipe
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