AUTOMATED DIFFERENTIAL EXPRESSION ANALYSIS OF RNA SEQUENCING DATA
Paiva Antonio , Pilloni Giovanni
2020
Detection of neuron membranes in electron microscopy images using a serial neural network architecture.
Elizabeth Jurrus , Antonio R.C. Paiva , Shigeki Watanabe , James R. Anderson
Medical Image Analysis 14 ( 6) 770 -783
92
2010
Serial section registration of axonal confocal microscopy datasets for long-range neural circuit reconstruction
Luke Hogrebe , Antonio R.C. Paiva , Elizabeth Jurrus , Cameron Christensen
Journal of Neuroscience Methods 207 ( 2) 200 -210
3
2012
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial
Il Memming Park , Sohan Seth , Antonio R.C. Paiva , Lin Li
IEEE Signal Processing Magazine 30 ( 4) 149 -160
31
2013
Fault detection and identification using Bayesian recurrent neural networks
Weike Sun , Antonio R.C. Paiva , Peng Xu , Anantha Sundaram
Computers & Chemical Engineering 141 106991
9
2020
Image Parsing with a Three-State Series Neural Network Classifier
Mojtaba Seyedhosseini , Antonio R.C. Paiva , Tolga Tasdizen
international conference on pattern recognition 4508 -4511
1
2010
Detection of Salient Image Points Using Principal Subspace Manifold Structure
Antonio R.C. Paiva , Tolga Tasdizen
international conference on pattern recognition 1389 -1392
3
2010
Using Sequential Context for Image Analysis
Antonio R.C. Paiva , Elizabeth Jurrus , Tolga Tasdizen
international conference on pattern recognition 2800 -2803
4
2010
FINGERPRINT IMAGE SEGMENTATION USING DATA MANIFOLD CHARACTERISTIC FEATURES
ANTÓNIO R. C. PAIVA , TOLGA TASDIZEN
International Journal of Pattern Recognition and Artificial Intelligence 26 ( 04) 1256010
5
2012
Hierarchal decomposition of neural data using boosted mixtures of independently coupled hidden markov chains
Shalom Darmanjian , ARC Paiva , JC Principe , MC Nechyba
International Joint Conference on Neural Networks 89 -93
5
2007
Instantaneous Cross‐Correlation Analysis of Neural Ensembles with High Temporal Resolution
António RC Paiva , Il Park , José C Príncipe , Justin C Sanchez
Introduction to Neural Engineering for Motor Rehabilitation 183 -198
2013
Optimization in reproducing kernel Hilbert spaces of spike trains
António RC Paiva , Il Park , José C Príncipe
Computational Neuroscience 3 -29
1
2010
An Efficient Computation of Continuous-time Correlogram of Spike Trains
Il Park , António RC Paiva , Thomas B DeMarse , José C Prıncipe
A reproducing kernel Hilbert space framework for information-theoretic learning
Jian-Wu Xu , António RC Paiva , Il Park , Jose C Principe
Signal Processing, IEEE Transactions on 56 ( 12) 5891 -5902
85
2008
Reproducing kernel Hilbert spaces for spike train analysis
António RC Paiva , Il Park , Jose C Principe
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on 5212 -5215
7
2008
Evaluation of some reordering techniques for image vq index compression
António RC Paiva , Armando J Pinho
Image Analysis and Recognition: International Conference ICIAR 2004, Porto, Portugal, September 29-October 1, 2004, Proceedings, Part I 1 302 -309
2
2004
Lossless bit-plane compression of microarray images using 3D context models
António JR Neves , Armando J Pinho , António RC Paiva
Proc. of the 5th IASTED Int. Conf. on Visualization, Imaging, and Image Processing, VIIP-2005 253 -258
1
2005
Multi-scale Series Contextual Model for Image Parsing
Mojtaba Seyedhosseini , António RC Paiva , Tolga Tasdizen
2011
Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysis
António RC Paiva
University of Florida
6
2008
Image representation, sampling and quantization
António RC Paiva
Image (Rochester, NY)
3
2010