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Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces

Neural computation, 2009-10, Vol.21 (10), p.2894-2930

2009

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A comparison of binless spike train measures

Neural computing & applications, 2010-04, Vol.19 (3), p.405-419

2010

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A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing

Neural computation, 2009-02, Vol.21 (2), p.424-449

2009

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FINGERPRINT IMAGE SEGMENTATION USING DATA MANIFOLD CHARACTERISTIC FEATURES

International journal of pattern recognition and artificial intelligence, 2012-06, Vol.26 (4), p.1256010

2012

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Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images

Neuroinformatics (Totowa, N.J.), 2013, Vol.11 (1), p.5-29

2013

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Detection of neuron membranes in electron microscopy images using a serial neural network architecture

Medical image analysis, 2010-12, Vol.14 (6), p.770-783

2010

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Self-organizing maps with dynamic learning for signal reconstruction

Neural networks, 2007-03, Vol.20 (2), p.274-284

2007

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Serial section registration of axonal confocal microscopy datasets for long-range neural circuit reconstruction

Journal of neuroscience methods, 2012-06, Vol.207 (2), p.200-210

2012

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A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning

IEEE transactions on signal processing, 2008-12, Vol.56 (12), p.5891-5902

2008

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Fault detection and identification using Bayesian recurrent neural networks

Computers & chemical engineering, 2020-10, Vol.141, p.106991, Article 106991

2020

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Kernel Principal Components Are Maximum Entropy Projections

Independent Component Analysis and Blind Signal Separation, 2006, p.846-853

2006

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An efficient algorithm for continuous time cross correlogram of spike trains

Journal of neuroscience methods, 2008-03, Vol.168 (2), p.514-523

2008

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On the use of standards for microarray lossless image compression

IEEE transactions on biomedical engineering, 2006-03, Vol.53 (3), p.563-566

2006

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Detection of Salient Image Points Using Principal Subspace Manifold Structure

2010 20th International Conference on Pattern Recognition, 2010, p.1389-1392

2010

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A fixed point update for kernel width adaptation in information theoretic criteria

2010 IEEE International Workshop on Machine Learning for Signal Processing, 2010, p.262-265

2010

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Using Sequential Context for Image Analysis

2010 20th International Conference on Pattern Recognition, 2010, p.2800-2803

2010

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Fast semi-supervised image segmentation by novelty selection

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, p.1054-1057

2010

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Evaluation of Some Reordering Techniques for Image VQ Index Compression

Image Analysis and Recognition, 2004, p.302-309

2004

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Automatic markup of neural cell membranes using boosted decision stumps

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009, p.1039-1042

2009

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Information-theoretic dataset selection for fast kernel learning

2017 International Joint Conference on Neural Networks (IJCNN), 2017, p.2088-2095

Paiva, Antonio R. C.

2017

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Peri-event cross-correlation over time for analysis of interactions in neuronal firing

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008-01, Vol.2008, p.1903-1906

2008

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Trace driven registration of neuron confocal microscopy stacks

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011, p.1345-1348

2011

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Reproducing kernel Hilbert spaces for spike train analysis

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.5212-5215

2008

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Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysis

Paiva, Antonio R. C

2008

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Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains

Computational Neuroscience, 2010, p.3-29

2010

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Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces

A comparison of binless spike train measures

A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing

FINGERPRINT IMAGE SEGMENTATION USING DATA MANIFOLD CHARACTERISTIC FEATURES

Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images

Detection of neuron membranes in electron microscopy images using a serial neural network architecture

Self-organizing maps with dynamic learning for signal reconstruction

Serial section registration of axonal confocal microscopy datasets for long-range neural circuit reconstruction

A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning

Fault detection and identification using Bayesian recurrent neural networks

Kernel Principal Components Are Maximum Entropy Projections

An efficient algorithm for continuous time cross correlogram of spike trains

On the use of standards for microarray lossless image compression

Detection of Salient Image Points Using Principal Subspace Manifold Structure

A fixed point update for kernel width adaptation in information theoretic criteria

Using Sequential Context for Image Analysis

Fast semi-supervised image segmentation by novelty selection

Evaluation of Some Reordering Techniques for Image VQ Index Compression

Automatic markup of neural cell membranes using boosted decision stumps

Information-theoretic dataset selection for fast kernel learning

Peri-event cross-correlation over time for analysis of interactions in neuronal firing

Trace driven registration of neuron confocal microscopy stacks

Reproducing kernel Hilbert spaces for spike train analysis

Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysis

Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains

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