Antonio R. Paiva
Title
Cited by
Cited by
Year
Detection of neuron membranes in electron microscopy images using a serial neural network architecture
E Jurrus, ARC Paiva, S Watanabe, JR Anderson, BW Jones, RT Whitaker, ...
Medical image analysis 14 (6), 770-783, 2010
1242010
A reproducing kernel Hilbert space framework for spike train signal processing
ARC Paiva, I Park, JC Principe
Neural computation 21 (2), 424-449, 2009
922009
A comparison of binless spike train measures
ARC Paiva, I Park, JC Príncipe
Neural Computing and Applications 19 (3), 405-419, 2010
802010
A reproducing kernel Hilbert space framework for information-theoretic learning
JW Xu, ARC Paiva, I Park, JC Principe
IEEE Transactions on Signal Processing 56 (12), 5891-5902, 2008
662008
Kernel methods on spike train space for neuroscience: a tutorial
IM Park, S Seth, ARC Paiva, L Li, JC Principe
IEEE Signal Processing Magazine 30 (4), 149-160, 2013
432013
Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces
Y Wang, ARC Paiva, JC Príncipe, JC Sanchez
Neural computation 21 (10), 2894-2930, 2009
432009
Semi-automated neuron boundary detection and nonbranching process segmentation in electron microscopy images
E Jurrus, S Watanabe, RJ Giuly, ARC Paiva, MH Ellisman, EM Jorgensen, ...
Neuroinformatics 11 (1), 5-29, 2013
292013
Characterizing datasets using sampling, weighting, and approximation of an eigendecomposition
AR Paiva, T Tasdizen
US Patent 8,412,651, 2013
272013
Nonlinear component analysis based on correntropy
JW Xu, PP Pokharel, ARC Paiva, JC Príncipe
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
262006
Automatic markup of neural cell membranes using boosted decision stumps
KU Venkataraju, ARC Paiva, E Jurrus, T Tasdizen
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
242009
On the use of standards for microarray lossless image compression
AJ Pinho, ARC Paiva, AJR Neves
IEEE transactions on biomedical engineering 53 (3), 563-566, 2006
242006
Fast adaboost training using weighted novelty selection
M Seyedhosseini, ARC Paiva, T Tasdizen
The 2011 International Joint Conference on Neural Networks, 1245-1250, 2011
232011
Fault detection and identification using Bayesian recurrent neural networks
W Sun, ARC Paiva, P Xu, A Sundaram, RD Braatz
Computers & Chemical Engineering 141, 106991, 2020
222020
Inner products for representation and learning in the spike train domain
ARC Paiva, I Park, JC Principe
Statistical signal processing for neuroscience and neurotechnology, 265-309, 2010
222010
Determining well parameters for optimization of well performance
DN Burch, ARC Paiva, R van den Bosch
US Patent 9,946,974, 2018
192018
An efficient algorithm for continuous time cross correlogram of spike trains
I Park, ARC Paiva, TB DeMarse, JC Príncipe
Journal of Neuroscience methods 168 (2), 514-523, 2008
162008
Self-organizing maps with dynamic learning for signal reconstruction
J Cho, ARC Paiva, SP Kim, JC Sanchez, JC Príncipe
Neural Networks 20 (2), 274-284, 2007
132007
A Monte Carlo sequential estimation for point process optimum filtering
Y Wang, ARC Paiva, JC Príncipe
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
122006
Kernel principal components are maximum entropy projections
ARC Paiva, JW Xu, JC Príncipe
International Conference on Independent Component Analysis and Signal …, 2006
122006
Seismic stratigraphic surface classification
LA Wahrmund, ARC Paiva, SE Hanson-Hedgecock
US Patent 10,139,507, 2018
112018
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