Ulisses Braga-Neto

Ulisses de Mendonça Braga Neto

	2013
j39		David Correa Martins Jr., Evaldo A. de Oliveira, Ulisses de Mendonça Braga Neto, Ronaldo Fumio Hashimoto, Roberto Marcondes Cesar Jr.: Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables. Inf. Sci. 225: 18-34 (2013)
j38		Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses Braga-Neto, Edward R. Dougherty: Relationship between the accuracy of classifier error estimation and complexity of decision boundary. Pattern Recognition 46(5): 1315-1322 (2013)
	2012
j37		Youting Sun, Jianqiu Zhang, Ulisses Braga-Neto, Edward R. Dougherty: BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry. Bioinformatics 28(4): 564-572 (2012)
j36		Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dougherty: Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model. Pattern Recognition 45(2): 908-917 (2012)
c13		Ting Chen, Ulisses Braga-Neto: A statistical test for intrinsically multivariate predictive genes. GENSiPS 2012: 151-154
	2011
j35		Chao Sima, Ulisses Braga-Neto, Edward R. Dougherty: High-dimensional bolstered error estimation. Bioinformatics 27(21): 3056-3064 (2011)
j34		Jonathan D. Wren, Doris M. Kupfer, Edward J. Perkins, Susan Bridges, Stephen Winters-Hilt, Mikhail G. Dozmorov, Ulisses Braga-Neto: Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinformatics 12(S-10): S1 (2011)
j33		Ying Wang, Noushin Ghaffari, Charles D. Johnson, Ulisses Braga-Neto, Hui Wang, Rui Chen, Huaijun Zhou: Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens. BMC Bioinformatics 12(S-10): S5 (2011)
j32		Amin Zollanvari, Ulisses de Mendonça Braga Neto, Edward R. Dougherty: Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. IEEE Transactions on Signal Processing 59(9): 4238-4255 (2011)
c12		Zhenghao Zhang, Youting Sun, Ulisses Braga-Neto, Edward R. Dougherty, Jianqiu Zhang: A parallel programming framework with Markovian messaging for LC-MS peptide detection. BIBM Workshops 2011: 1057-1059
c11		Esmaeil Atashpaz-Gargari, Ulisses Braga-Neto, Edward R. Dougherty: Multiple reaction monitoring: Modeling and systematic analysis. GENSiPS 2011: 105-107
c10		Youting Sun, Ulisses Braga-Neto, Edward R. Dougherty: Modeling and systematic analysis of LC-MS proteomics pipeline. GENSiPS 2011: 112-116
c9		Ting Chen, Ulisses Braga-Neto: Sample-based estimators for the instrinsically multivariate prediction score. GENSiPS 2011: 139-142
c8		Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses Braga-Neto, Edward R. Dougherty: Relationship between the accuracy of classifier error estimation and distribution complexity. GENSiPS 2011: 147-149
c7		Sardar Afra, Ulisses Braga-Neto: Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data. GENSiPS 2011: 218-221
	2010
j31		Youting Sun, Jianqiu Zhang, Ulisses Braga-Neto, Edward R. Dougherty: BPDA - A Bayesian peptide detection algorithm for mass spectrometry. BMC Bioinformatics 11: 490 (2010)
j30		Ting Chen, Ulisses Braga-Neto: Exact Performance of CoD Estimators in Discrete Prediction. EURASIP J. Adv. Sig. Proc. 2010 (2010)
j29		Thang T. Vu, Ulisses Braga-Neto: Small-Sample Error Estimation for Bagged Classification Rules. EURASIP J. Adv. Sig. Proc. 2010 (2010)
j28		Gerald Jean Francis Banon, Ulisses Braga-Neto, Roberto Marcondes Cesar Jr.: ISMM 2007 Special Issue. Image Vision Comput. 28(10): 1427-1428 (2010)
j27		Ulisses Braga-Neto, Edward R. Dougherty: Exact correlation between actual and estimated errors in discrete classification. Pattern Recognition Letters 31(5): 407-412 (2010)
j26		Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dougherty: Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. IEEE Transactions on Information Theory 56(2): 784-804 (2010)
c6		Ting Chen, Ulisses Braga-Neto: Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule. GENSiPS 2010: 1-4
c5		Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dougherty: RMS bounds and sample size considerations for error estimation in linear discriminant analysis. GENSiPS 2010: 1-4
	2009
j25		Jonathan D. Wren, Yuriy Gusev, Raphael D. Isokpehi, Daniel Berleant, Ulisses Braga-Neto, Dawn Wilkins, Susan Bridges: Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinformatics 10(S-11): 1 (2009)
j24		Amin Zollanvari, Mary Jane Cunningham, Ulisses Braga-Neto, Edward R. Dougherty: Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. BMC Bioinformatics 10(S-11): 10 (2009)
j23		Erchin Serpedin, Javier Garcia-Frias, Yufei Huang, Ulisses Braga-Neto: Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics. EURASIP J. Bioinformatics and Systems Biology 2009 (2009)
j22		Youting Sun, Ulisses Braga-Neto, Edward R. Dougherty: Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data - A Model-Based Study. EURASIP J. Bioinformatics and Systems Biology 2009 (2009)
j21		Thang T. Vu, Ulisses Braga-Neto: Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data? EURASIP J. Bioinformatics and Systems Biology 2009 (2009)
j20		Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dougherty: On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. Pattern Recognition 42(11): 2705-2723 (2009)
c4		Chao Sima, Thang T. Vu, Ulisses Braga-Neto, Edward R. Dougherty: Bolstered error estimator with feature selection. GENSiPS 2009: 1-2
c3		Thang T. Vu, Ulisses Braga-Neto, Edward R. Dougherty: Bagging degrades the performance of linear discriminant classifiers. GENSiPS 2009: 1-2
c2		Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dougherty: Sample size calculation from specified RMS of the resubstitution error for linear classifiers. GENSiPS 2009: 1-2
	2008
j19		D. C. Martins, Ulisses de Mendonça Braga Neto, Ronaldo Fumio Hashimoto, Michael L. Bittner, Edward R. Dougherty: Intrinsically Multivariate Predictive Genes. J. Sel. Topics Signal Processing 2(3): 424-439 (2008)
	2006
j18		Ulisses Braga-Neto, Ernesto T. A. Marques Jr.: From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards. PLoS Computational Biology 2(7) (2006)
	2005
j17		Chao Sima, Ulisses Braga-Neto, Edward R. Dougherty: Superior feature-set ranking for small samples using bolstered error estimation. Bioinformatics 21(7): 1046-1054 (2005)
j16		Ulisses Braga-Neto, John Goutsias: Constructing multiscale connectivities. Computer Vision and Image Understanding 99(1): 126-150 (2005)
j15		Ulisses Braga-Neto: Multiscale Connected Operators. Journal of Mathematical Imaging and Vision 22(2-3): 199-216 (2005)
j14		Ulisses Braga-Neto, John Goutsias: Object-Based Image Analysis Using Multiscale Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 892-907 (2005)
j13		Ulisses Braga-Neto, Edward R. Dougherty: Exact performance of error estimators for discrete classifiers. Pattern Recognition 38(11): 1799-1814 (2005)
j12		Chao Sima, Sanju Attoor, Ulisses Braga-Neto, James Lowey, Edward Suh, Edward R. Dougherty: Impact of error estimation on feature selection. Pattern Recognition 38(12): 2472-2482 (2005)
	2004
j11		Ulisses Braga-Neto, Ronaldo Fumio Hashimoto, Edward R. Dougherty, Danh V. Nguyen, Raymond J. Carroll: Is cross-validation better than resubstitution for ranking genes? Bioinformatics 20(2): 253-258 (2004)
j10		Ulisses Braga-Neto, Edward R. Dougherty: Is cross-validation valid for small-sample microarray classification? Bioinformatics 20(3): 374-380 (2004)
j9		Ulisses Braga-Neto, Manish Choudhary, John Goutsias: Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators. J. Electronic Imaging 13(4): 802-813 (2004)
j8		Ulisses Braga-Neto, Edward R. Dougherty: Bolstered error estimation. Pattern Recognition 37(6): 1267-1281 (2004)
j7		Ulisses Braga-Neto, John Goutsias: Supremal Multiscale Signal Analysis. SIAM J. Math. Analysis 36(1): 94-120 (2004)
j6		Ulisses Braga-Neto, John K. Goutsias: Grayscale level connectivity: theory and applications. IEEE Transactions on Image Processing 13(12): 1567-1580 (2004)
	2003
j5		Ulisses Braga-Neto, John K. Goutsias: A multiscale approach to connectivity. Computer Vision and Image Understanding 89(1): 70-107 (2003)
j4		Ulisses Braga-Neto, John K. Goutsias: A Theoretical Tour of Connectivity in Image Processing and Analysis. Journal of Mathematical Imaging and Vision 19(1): 5-31 (2003)
	2002
j3		Ulisses Braga-Neto, John K. Goutsias: Connectivity on Complete Lattices: New Results. Computer Vision and Image Understanding 85(1): 22-53 (2002)
j2		Xiao Han, Chenyang Xu, Ulisses Braga-Neto, Jerry L. Prince: Topology Correction in Brain Cortex Segmentation Using a Multi-Scale, Graph-Based Algorithm. IEEE Trans. Med. Imaging 21(2): 109-121 (2002)
	2001
c1		Xiao Han, Chenyang Xu, Ulisses Braga-Neto, Jerry L. Prince: Graph-Based Topology Correction for Brain Cortex Segmentation. IPMI 2001: 395-401
	1997
j1		Alcione Jandir Candéas, Ulisses de Mendonça Braga Neto, Edson Costa de Barros Carvalho Filho: A Mathematical Morphology Approach to the Star/Galaxy Characterization. J. Braz. Comp. Soc. 3(3) (1997)

Coauthor Index

Colors in the list of coauthors

Last update Fri May 24 05:36:00 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page