Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDUlisses Braga-Neto
Ulisses M. Braga-Neto – Ulisses de Mendonça Braga Neto
Person information
- affiliation: Texas A&M University, College Station, TX, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2020
[b1]Ulisses M. Braga-Neto:
Fundamentals of Pattern Recognition and Machine Learning. Springer 2020, ISBN 978-3-030-27655-3, pp. 1-286
Journal Articles
- 2023
- [j70]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin
, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Daniel E. Martin, Roberto Rodriguez, Karem Meza, Juan Enciso, Jorge Solorzano Diaz, Tianyi Wang:
Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery. Comput. Electron. Agric. 204: 107551 (2023) - [j69]Levi D. McClenny, Ulisses M. Braga-Neto:
Self-adaptive physics-informed neural networks. J. Comput. Phys. 474: 111722 (2023) - [j68]Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin:
Physics-informed neural networks with adaptive localized artificial viscosity. J. Comput. Phys. 489: 112265 (2023) - [j67]Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. IEEE Signal Process. Mag. 40(4): 3-6 (2023) - [j66]Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. IEEE Signal Process. Mag. 40(5): 8-11 (2023) - 2022
- [j65]Parisa Ghane, Ulisses Braga-Neto:
Generalized Resubstitution for Classification Error Estimation. J. Mach. Learn. Res. 23: 280:1-280:30 (2022) - [j64]Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis:
A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. Sensors 22(9): 3510 (2022) - [j63]Yukun Tan, Fernando B. Lima Neto, Ulisses M. Braga-Neto:
PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1807-1816 (2022) - 2020
- [j62]Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto:
Boolean Kalman filter and smoother under model uncertainty. Autom. 111 (2020) - [j61]Ulisses M. Braga-Neto, Edward R. Dougherty:
Machine Learning Requires Probability and Statistics [Perspectives]. IEEE Signal Process. Mag. 37(4): 118-122 (2020) - [j60]Arghavan Bahadorinejad, Mahdi Imani, Ulisses M. Braga-Neto:
Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1105-1114 (2020) - 2019
- [j59]Caio Davi, André Pastor, Thiego Oliveira, Fernando Buarque de Lima Neto, Ulisses M. Braga-Neto, Abigail W. Bigham, Michael Bamshad, Ernesto T. A. Marques Jr., Bartolomeu Acioli-Santos:
Severe Dengue Prognosis Using Human Genome Data and Machine Learning. IEEE Trans. Biomed. Eng. 66(10): 2861-2868 (2019) - [j58]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 193-207 (2019) - [j57]Mahdi Imani, Ulisses M. Braga-Neto:
Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1250-1261 (2019) - [j56]Mahdi Imani, Ulisses M. Braga-Neto:
Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. IEEE Trans. Control. Syst. Technol. 27(3): 1023-1035 (2019) - 2018
- [j55]Mahdi Imani, Ulisses M. Braga-Neto:
Particle filters for partially-observed Boolean dynamical systems. Autom. 87: 238-250 (2018) - [j54]Mahdi Imani, Ulisses M. Braga-Neto:
Finite-horizon LQR controller for partially-observed Boolean dynamical systems. Autom. 95: 172-179 (2018) - [j53]Mahdi Imani, Ulisses M. Braga-Neto:
Gene regulatory network state estimation from arbitrary correlated measurements. EURASIP J. Adv. Signal Process. 2018: 22 (2018) - [j52]Esmaeil Atashpaz-Gargari, Marcelo da Silva Reis, Ulisses M. Braga-Neto, Junior Barrera, Edward R. Dougherty:
A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognit. 73: 172-188 (2018) - [j51]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Jianping Hua, Edward Russell Dougherty:
Classification of State Trajectories in Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 68-82 (2018) - [j50]Arghavan Bahadorinejad, Ulisses M. Braga-Neto:
Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 516-525 (2018) - [j49]Mahdi Imani, Ulisses M. Braga-Neto:
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. IEEE Trans. Control. Netw. Syst. 5(2): 760-769 (2018) - 2017
- [j48]Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto:
BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. BMC Bioinform. 18(1): 519:1-519:8 (2017) - [j47]Mahdi Imani, Ulisses M. Braga-Neto:
Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. IEEE Trans. Signal Process. 65(2): 359-371 (2017) - 2016
- [j46]Ting Chen, Ulisses M. Braga-Neto:
Bayesian estimation of the discrete coefficient of determination. EURASIP J. Bioinform. Syst. Biol. 2016: 1 (2016) - 2015
- [j45]Ting Chen, Ulisses M. Braga-Neto:
Statistical Detection of Intrinsically Multivariate Predictive Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 951-964 (2015) - 2014
- [j44]Ulisses M. Braga-Neto, Amin Zollanvari, Edward R. Dougherty:
Cross-validation under separate sampling: strong bias and how to correct it. Bioinform. 30(23): 3349-3355 (2014) - [j43]Thang T. Vu, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Unbiased bootstrap error estimation for linear discriminant analysis. EURASIP J. Bioinform. Syst. Biol. 2014: 15 (2014) - [j42]Esmaeil Atashpaz-Gargari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Modeling and systematic analysis of biomarker validation using selected reaction monitoring. EURASIP J. Bioinform. Syst. Biol. 2014: 17 (2014) - 2013
- [j41]David Correa Martins Jr., Evaldo Araújo de Oliveira, Ulisses M. 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) - [j40]Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Relationship between the accuracy of classifier error estimation and complexity of decision boundary. Pattern Recognit. 46(5): 1315-1322 (2013) - [j39]Ting Chen, Ulisses M. Braga-Neto:
Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems. IEEE Trans. Signal Process. 61(15): 3880-3894 (2013) - 2012
- [j38]Youting Sun, Jianqiu Zhang, Ulisses M. Braga-Neto, Edward R. Dougherty:
BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry. Bioinform. 28(4): 564-572 (2012) - [j37]Amin Zollanvari, Ulisses M. 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 Recognit. 45(2): 908-917 (2012) - 2011
- [j36]Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
High-dimensional bolstered error estimation. Bioinform. 27(21): 3056-3064 (2011) - [j35]Jonathan D. Wren, Doris M. Kupfer, Edward J. Perkins, Susan Bridges, Stephen Winters-Hilt, Mikhail G. Dozmorov, Ulisses M. Braga-Neto:
Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 12(S-10): S1 (2011) - [j34]Ying Wang, Noushin Ghaffari, Charles D. Johnson, Ulisses M. Braga-Neto, Hui Wang, Rui Chen, Huaijun Zhou:
Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens. BMC Bioinform. 12(S-10): S5 (2011) - [j33]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. IEEE Trans. Signal Process. 59(9): 4238-4255 (2011) - 2010
- [j32]Youting Sun, Jianqiu Zhang, Ulisses M. Braga-Neto, Edward R. Dougherty:
BPDA - A Bayesian peptide detection algorithm for mass spectrometry. BMC Bioinform. 11: 490 (2010) - [j31]Ting Chen, Ulisses M. Braga-Neto:
Exact Performance of CoD Estimators in Discrete Prediction. EURASIP J. Adv. Signal Process. 2010 (2010) - [j30]Thang T. Vu, Ulisses M. Braga-Neto:
Small-Sample Error Estimation for Bagged Classification Rules. EURASIP J. Adv. Signal Process. 2010 (2010) - [j29]Gerald Jean Francis Banon, Ulisses M. Braga-Neto, Roberto Marcondes Cesar Jr.:
ISMM 2007 Special Issue. Image Vis. Comput. 28(10): 1427-1428 (2010) - [j28]Ulisses M. Braga-Neto, Edward R. Dougherty:
Exact correlation between actual and estimated errors in discrete classification. Pattern Recognit. Lett. 31(5): 407-412 (2010) - [j27]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. IEEE Trans. Inf. Theory 56(2): 784-804 (2010) - 2009
- [j26]Jonathan D. Wren, Yuriy Gusev, Raphael D. Isokpehi, Daniel Berleant, Ulisses M. Braga-Neto, Dawn Wilkins, Susan Bridges:
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 10(S-11): 1 (2009) - [j25]Amin Zollanvari, Mary Jane Cunningham, Ulisses M. Braga-Neto, Edward R. Dougherty:
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. BMC Bioinform. 10(S-11): 10 (2009) - [j24]Erchin Serpedin, Javier Garcia-Frías, Yufei Huang, Ulisses M. Braga-Neto:
Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j23]Youting Sun, Ulisses M. Braga-Neto, Edward R. Dougherty:
Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data - A Model-Based Study. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j22]Thang T. Vu, Ulisses M. Braga-Neto:
Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data? EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j21]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. Pattern Recognit. 42(11): 2705-2723 (2009) - 2008
- [j20]David Correa Martins Jr., Ulisses M. Braga-Neto, Ronaldo Fumio Hashimoto, Michael L. Bittner, Edward R. Dougherty:
Intrinsically Multivariate Predictive Genes. IEEE J. Sel. Top. Signal Process. 2(3): 424-439 (2008) - 2007
- [j19]Ulisses M. Braga-Neto:
Fads and fallacies in the name of small-sample microarray classification - A highlight of misunderstanding and erroneous usage in the applications of genomic signal processing. IEEE Signal Process. Mag. 24(1): 91-99 (2007) - 2006
- [j18]Ulisses M. Braga-Neto, Ernesto T. A. Marques Jr.:
From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards. PLoS Comput. Biol. 2(7) (2006) - 2005
- [j17]Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Superior feature-set ranking for small samples using bolstered error estimation. Bioinform. 21(7): 1046-1054 (2005) - [j16]Ulisses M. Braga-Neto, John Goutsias:
Constructing multiscale connectivities. Comput. Vis. Image Underst. 99(1): 126-150 (2005) - [j15]Ulisses M. Braga-Neto:
Multiscale Connected Operators. J. Math. Imaging Vis. 22(2-3): 199-216 (2005) - [j14]Ulisses M. Braga-Neto, John Goutsias:
Object-Based Image Analysis Using Multiscale Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 892-907 (2005) - [j13]Ulisses M. Braga-Neto, Edward R. Dougherty:
Exact performance of error estimators for discrete classifiers. Pattern Recognit. 38(11): 1799-1814 (2005) - [j12]Chao Sima, Sanju Attoor, Ulisses M. Braga-Neto, James Lowey, Edward Suh, Edward R. Dougherty:
Impact of error estimation on feature selection. Pattern Recognit. 38(12): 2472-2482 (2005) - 2004
- [j11]Ulisses M. Braga-Neto, Ronaldo Fumio Hashimoto, Edward R. Dougherty, Danh V. Nguyen, Raymond J. Carroll:
Is cross-validation better than resubstitution for ranking genes? Bioinform. 20(2): 253-258 (2004) - [j10]Ulisses M. Braga-Neto, Edward R. Dougherty:
Is cross-validation valid for small-sample microarray classification? Bioinform. 20(3): 374-380 (2004) - [j9]Ulisses M. 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 M. Braga-Neto, Edward R. Dougherty:
Bolstered error estimation. Pattern Recognit. 37(6): 1267-1281 (2004) - [j7]Ulisses M. Braga-Neto, John Goutsias:
Supremal Multiscale Signal Analysis. SIAM J. Math. Anal. 36(1): 94-120 (2004) - [j6]Ulisses M. Braga-Neto, John K. Goutsias:
Grayscale level connectivity: theory and applications. IEEE Trans. Image Process. 13(12): 1567-1580 (2004) - 2003
- [j5]Ulisses M. Braga-Neto, John K. Goutsias:
A multiscale approach to connectivity. Comput. Vis. Image Underst. 89(1): 70-107 (2003) - [j4]Ulisses M. Braga-Neto, John K. Goutsias:
A Theoretical Tour of Connectivity in Image Processing and Analysis. J. Math. Imaging Vis. 19(1): 5-31 (2003) - 2002
- [j3]Ulisses M. Braga-Neto, John K. Goutsias:
Connectivity on Complete Lattices: New Results. Comput. Vis. Image Underst. 85(1): 22-53 (2002) - [j2]Xiao Han, Chenyang Xu, Ulisses M. Braga-Neto, Jerry L. Prince:
Topology Correction in Brain Cortex Segmentation Using a Multi-Scale, Graph-Based Algorithm. IEEE Trans. Medical Imaging 21(2): 109-121 (2002) - 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. Comput. Soc. 3(3) (1997)
Conference and Workshop Papers
- 2023
- [c48]Parisa Ghane, Ulisses Braga-Neto:
Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators. MLSP 2023: 1-6 - 2021
- [c47]Levi D. McClenny, Ulisses M. Braga-Neto:
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism. AAAI Spring Symposium: MLPS 2021 - [c46]Parisa Ghane, Narges Zarnaghinaghsh, Ulisses M. Braga-Neto:
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. BCI 2021: 1-6 - [c45]Caio Davi, Ulisses M. Braga-Neto:
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes. MLSP 2021: 1-6 - 2020
- [c44]Yukun Tan, Fernando B. Lima Neto, Ulisses M. Braga-Neto:
Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling. MLSP 2020: 1-6 - 2019
- [c43]Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses M. Braga-Neto:
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. AAAI 2019: 7858-7865 - 2018
- [c42]Mahdi Imani, Ulisses M. Braga-Neto:
Optimal Control of Gene Regulatory Networks with Unknown Cost Function. ACC 2018: 3939-3944 - [c41]Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty:
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB 2018: 596-597 - [c40]Yukun Tan, Fernando B. Lima Neto, Ulisses M. Braga-Neto:
Inference of gene regulatory Networks by Maximum-likelihood adaptive filtering and discrete fish School Search. MLSP 2018: 1-6 - [c39]Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto:
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. NeurIPS 2018: 8157-8167 - 2017
- [c38]Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto:
Nonstationary linear discriminant analysis. ACSSC 2017: 161-165 - [c37]Emre Arslan, Ulisses M. Braga-Neto:
Bayesian top scoring pairs for feature selection. ACSSC 2017: 387-391 - [c36]Mahdi Imani, Ulisses M. Braga-Neto:
Optimal finite-horizon sensor selection for Boolean Kalman Filter. ACSSC 2017: 1481-1485 - [c35]Mahdi Imani, Ulisses M. Braga-Neto:
Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. ACC 2017: 1103-1108 - [c34]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks. BCB 2017: 766-767 - [c33]Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto:
Boolean Kalman Filter with correlated observation noise. ICASSP 2017: 866-870 - [c32]Emre Arslan, Ulisses M. Braga-Neto:
A Bayesian approach to Top-Scoring Pairs classification. ICASSP 2017: 871-875 - [c31]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks. ICASSP 2017: 1078-1082 - 2016
- [c30]Mahdi Imani, Ulisses M. Braga-Neto:
State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. ACC 2016: 227-232 - [c29]Mahdi Imani, Ulisses M. Braga-Neto:
Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. CDC 2016: 4208-4213 - 2015
- [c28]Mahdi Imani, Ulisses M. Braga-Neto:
Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. ACSSC 2015: 423-427 - [c27]Mahdi Imani, Ulisses M. Braga-Neto:
Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. GlobalSIP 2015: 972-976 - 2014
- [c26]Arghavan Bahadorinejad, Ulisses M. Braga-Neto:
Optimal fault detection in stochastic Boolean regulatory networks. GlobalSIP 2014: 1386-1389 - [c25]Xingde Jiang, Ulisses M. Braga-Neto:
A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces. GlobalSIP 2014: 1398-1401 - 2013
- [c24]Ting Chen, Ulisses M. Braga-Neto:
Optimal Bayesian MMSE estimation of the coefficient of determination for discrete prediction. GENSiPS 2013: 66-69 - [c23]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Effect of mixing probabilities on the bias of cross-validation under separate sampling. GENSiPS 2013: 98-99 - [c22]Esmaeil Atashpaz-Gargari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Improved branch-and-bound algorithm for U-curve optimization. GENSiPS 2013: 100-101 - [c21]Ulisses M. Braga-Neto:
Particle filtering approach to state estimation in Boolean dynamical systems. GlobalSIP 2013: 81-84 - 2012
- [c20]Ting Chen, Ulisses M. Braga-Neto:
A statistical test for intrinsically multivariate predictive genes. GENSiPS 2012: 151-154 - [c19]Ulisses M. Braga-Neto:
Joint state and parameter estimation for Boolean dynamical systems. SSP 2012: 704-707 - 2011
- [c18]Ting Chen, Ulisses M. Braga-Neto:
Maximum likelihood estimation of the binary Coefficient of Determination. ACSCC 2011: 1012-1016 - [c17]Ulisses M. Braga-Neto:
Optimal state estimation for Boolean dynamical systems. ACSCC 2011: 1050-1054 - [c16]Ulisses M. Braga-Neto, Antonia Papandreou-Suppappola:
Session TA1b: Biosignal estimation and classification. ACSCC 2011: 1090-1092 - [c15]Zhenghao Zhang, Youting Sun, Ulisses M. Braga-Neto, Edward R. Dougherty, Jianqiu Zhang:
A parallel programming framework with Markovian messaging for LC-MS peptide detection. BIBM Workshops 2011: 1057-1059 - [c14]Esmaeil Atashpaz-Gargari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Multiple reaction monitoring: Modeling and systematic analysis. GENSiPS 2011: 105-107 - [c13]Youting Sun, Ulisses M. Braga-Neto, Edward R. Dougherty:
Modeling and systematic analysis of LC-MS proteomics pipeline. GENSiPS 2011: 112-116 - [c12]Ting Chen, Ulisses M. Braga-Neto:
Sample-based estimators for the instrinsically multivariate prediction score. GENSiPS 2011: 139-142 - [c11]Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Relationship between the accuracy of classifier error estimation and distribution complexity. GENSiPS 2011: 147-149 - [c10]Sardar Afra, Ulisses M. Braga-Neto:
Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data. GENSiPS 2011: 218-221 - 2010
- [c9]Ting Chen, Ulisses M. Braga-Neto:
Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule. GENSiPS 2010: 1-4 - [c8]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
RMS bounds and sample size considerations for error estimation in linear discriminant analysis. GENSiPS 2010: 1-4 - 2009
- [c7]Chao Sima, Thang T. Vu, Ulisses M. Braga-Neto, Edward R. Dougherty:
Bolstered error estimator with feature selection. GENSiPS 2009: 1-2 - [c6]Thang T. Vu, Ulisses M. Braga-Neto, Edward R. Dougherty:
Bagging degrades the performance of linear discriminant classifiers. GENSiPS 2009: 1-2 - [c5]Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sample size calculation from specified RMS of the resubstitution error for linear classifiers. GENSiPS 2009: 1-2 - 2005
- [c4]Ulisses M. Braga-Neto:
Grayscale Level Multiconnectivity. ISMM 2005: 129-138 - 2001
- [c3]Xiao Han, Chenyang Xu, Ulisses M. Braga-Neto, Jerry L. Prince:
Graph-Based Topology Correction for Brain Cortex Segmentation. IPMI 2001: 395-401 - 2000
- [c2]Ulisses M. Braga-Neto, John Goutsias:
Multiresolution Connectivity: An Axiomatic Approach. ISMM 2000: 159-168 - 1996
- [c1]Ulisses de Mendonça Braga Neto:
Alternating Sequential Filters by Adaptive-Neighborhood Structuring Functions. ISMM 1996: 139-146
Informal and Other Publications
- 2022
- [i17]Caio Davi, Ulisses M. Braga-Neto:
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. CoRR abs/2202.01943 (2022) - [i16]Emilio Jose Rocha Coutinho, Marcelo Dall'Aqua, Levi D. McClenny, Ming Zhong, Ulisses Braga-Neto, Eduardo Gildin:
Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity. CoRR abs/2203.08802 (2022) - [i15]Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu:
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR abs/2205.13748 (2022) - [i14]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin IV, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Daniel E. Martin, Roberto Rodriguez, Karem Meza, Juan Enciso, Jorge Solorzano Diaz, Tianyi Wang:
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery. CoRR abs/2207.06673 (2022) - [i13]Pappu Kumar Yadav, J. Alex Thomasson, Stephen W. Searcy, Robert G. Hardin, Ulisses Braga-Neto, Sorin C. Popescu, Daniel E. Martin, Roberto Rodriguez, Karem Meza, Juan Enciso, Jorge Solorzano Diaz, Tianyi Wang:
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications. CoRR abs/2207.07334 (2022) - [i12]Pappu Kumar Yadav, J. Alex Thomasson, Stephen W. Searcy, Robert G. Hardin, Ulisses Braga-Neto, Sorin C. Popescu, Daniel E. Martin, Roberto Rodriguez, Karem Meza, Juan Enciso, Jorge Solorzano Diaz, Tianyi Wang:
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages. CoRR abs/2208.00519 (2022) - [i11]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Roberto Rodriguez, Daniel E. Martin, Juan Enciso, Karem Meza, Emma L. White:
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning. CoRR abs/2212.07527 (2022) - [i10]Ulisses Braga-Neto:
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems. CoRR abs/2212.14012 (2022) - 2021
- [i9]Levi D. McClenny, Mulugeta A. Haile, Ulisses M. Braga-Neto:
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks. CoRR abs/2103.16034 (2021) - [i8]Yukun Tan, Durward Cator III, Martial L. Ndeffo Mbah, Ulisses M. Braga-Neto:
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread. CoRR abs/2106.07919 (2021) - [i7]Parisa Ghane, Ulisses M. Braga-Neto:
Generalized Resubstitution for Classification Error Estimation. CoRR abs/2110.12285 (2021) - 2020
- [i6]Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave:
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. CoRR abs/2006.09310 (2020) - [i5]Caio Davi, Ulisses M. Braga-Neto:
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes. CoRR abs/2007.01200 (2020) - [i4]Levi D. McClenny, Ulisses M. Braga-Neto:
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism. CoRR abs/2009.04544 (2020) - [i3]Parisa Ghane, Ulisses M. Braga-Neto:
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. CoRR abs/2012.12473 (2020) - 2018
- [i2]Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. CoRR abs/1805.12253 (2018) - 2017
- [i1]Mahdi Imani, Ulisses M. Braga-Neto:
Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs. CoRR abs/1702.07652 (2017)
Coauthor Index
Edward R. Dougherty
aka: Edward Russell Dougherty
aka: Edward Russell Dougherty
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 01:52 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
