Ulisses Braga-Neto
Orcid: 0000-0002-1210-2173Affiliations:
- Texas A&M University, College Station, TX, USA
According to our database1,
Ulisses Braga-Neto
authored at least 130 papers
between 1996 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors].
IEEE Signal Process. Mag., July, 2023
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors].
IEEE Signal Process. Mag., June, 2023
J. Comput. Phys., 2023
Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery.
Comput. Electron. Agric., 2023
Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
2022
PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations.
Sensors, 2022
J. Mach. Learn. Res., 2022
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems.
CoRR, 2022
CoRR, 2022
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages.
CoRR, 2022
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications.
CoRR, 2022
CoRR, 2022
CoRR, 2022
2021
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread.
CoRR, 2021
TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks.
CoRR, 2021
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
IEEE Signal Process. Mag., 2020
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI.
CoRR, 2020
Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Springer, ISBN: 978-3-030-27655-3, 2020
2019
Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements.
IEEE Trans. Control. Syst. Technol., 2019
Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE Trans. Biomed. Eng., 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Pattern Recognit., 2018
EURASIP J. Adv. Signal Process., 2018
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty.
CoRR, 2018
Autom., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Inference of gene regulatory Networks by Maximum-likelihood adaptive filtering and discrete fish School Search.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
IEEE Trans. Signal Process., 2017
BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems.
BMC Bioinform., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
EURASIP J. Bioinform. Syst. Biol., 2016
Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data.
Proceedings of the 2016 American Control Conference, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
EURASIP J. Bioinform. Syst. Biol., 2014
Modeling and systematic analysis of biomarker validation using selected reaction monitoring.
EURASIP J. Bioinform. Syst. Biol., 2014
Bioinform., 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2013
Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems.
IEEE Trans. Signal Process., 2013
Relationship between the accuracy of classifier error estimation and complexity of decision boundary.
Pattern Recognit., 2013
Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables.
Inf. Sci., 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Effect of mixing probabilities on the bias of cross-validation under separate sampling.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Optimal Bayesian MMSE estimation of the coefficient of determination for discrete prediction.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
2012
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., 2012
BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry.
Bioinform., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
2011
IEEE Trans. Signal Process., 2011
Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform., 2011
BMC Bioinform., 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Relationship between the accuracy of classifier error estimation and distribution complexity.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
A parallel programming framework with Markovian messaging for LC-MS peptide detection.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis.
IEEE Trans. Inf. Theory, 2010
Pattern Recognit. Lett., 2010
EURASIP J. Adv. Signal Process., 2010
EURASIP J. Adv. Signal Process., 2010
BMC Bioinform., 2010
RMS bounds and sample size considerations for error estimation in linear discriminant analysis.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
2009
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers.
Pattern Recognit., 2009
Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data?
EURASIP J. Bioinform. Syst. Biol., 2009
Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data - A Model-Based Study.
EURASIP J. Bioinform. Syst. Biol., 2009
Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics.
EURASIP J. Bioinform. Syst. Biol., 2009
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.
BMC Bioinform., 2009
Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform., 2009
Sample size calculation from specified RMS of the resubstitution error for linear classifiers.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
2008
2007
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., 2007
2006
From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards.
PLoS Comput. Biol., 2006
2005
Pattern Recognit., 2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Bioinform., 2005
Proceedings of the Mathematical Morphology: 40 Years On, 2005
2004
IEEE Trans. Image Process., 2004
Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators.
J. Electronic Imaging, 2004
Bioinform., 2004
2003
J. Math. Imaging Vis., 2003
2002
Topology Correction in Brain Cortex Segmentation Using a Multi-Scale, Graph-Based Algorithm.
IEEE Trans. Medical Imaging, 2002
2001
Proceedings of the Information Processing in Medical Imaging, 2001
2000
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 2000
1997
A Mathematical Morphology Approach to the Star/Galaxy Characterization.
J. Braz. Comput. Soc., 1997
1996
Proceedings of the 3th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 1996