Ulisses Braga-Neto

Orcid: 0000-0002-1210-2173

Affiliations:
  • Texas A&M University, College Station, TX, USA


According to our database1, Ulisses Braga-Neto authored at least 134 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application.
Remote. Sens., August, 2024

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops.
Remote. Sens., June, 2024

Structure Preserving PINN for Solving Time Dependent PDEs with Periodic Boundary.
CoRR, 2024

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes.
CoRR, 2024

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

Self-adaptive physics-informed neural networks.
J. Comput. Phys., February, 2023

Physics-informed neural networks with adaptive localized artificial viscosity.
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

Generalized Resubstitution for Classification Error Estimation.
J. Mach. Learn. Res., 2022

Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems.
CoRR, 2022

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning.
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

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR, 2022

PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization.
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

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism.
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

Machine Learning Requires Probability and Statistics [Perspectives].
IEEE Signal Process. Mag., 2020

Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI.
CoRR, 2020

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains.
CoRR, 2020

Boolean Kalman filter and smoother under model uncertainty.
Autom., 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

Fundamentals of Pattern Recognition and Machine Learning
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

Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Severe Dengue Prognosis Using Human Genome Data and Machine Learning.
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
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs.
IEEE Trans. Control. Netw. Syst., 2018

Classification of State Trajectories in Gene Regulatory Networks.
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

A fast Branch-and-Bound algorithm for U-curve feature selection.
Pattern Recognit., 2018

Gene regulatory network state estimation from arbitrary correlated measurements.
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

Finite-horizon LQR controller for partially-observed Boolean dynamical systems.
Autom., 2018

Particle filters for partially-observed Boolean dynamical systems.
Autom., 2018

Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments.
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

Optimal Control of Gene Regulatory Networks with Unknown Cost Function.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems.
IEEE Trans. Signal Process., 2017

BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems.
BMC Bioinform., 2017

Boolean Kalman Filter with correlated observation noise.
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

A Bayesian approach to Top-Scoring Pairs classification.
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

Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems.
Proceedings of the 2017 American Control Conference, 2017

Nonstationary linear discriminant analysis.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Optimal finite-horizon sensor selection for Boolean Kalman Filter.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Bayesian top scoring pairs for feature selection.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Bayesian estimation of the discrete coefficient of determination.
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
Statistical Detection of Intrinsically Multivariate Predictive Genes.
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
Unbiased bootstrap error estimation for linear discriminant analysis.
EURASIP J. Bioinform. Syst. Biol., 2014

Modeling and systematic analysis of biomarker validation using selected reaction monitoring.
EURASIP J. Bioinform. Syst. Biol., 2014

Cross-validation under separate sampling: strong bias and how to correct it.
Bioinform., 2014

A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Optimal fault detection in stochastic Boolean regulatory networks.
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

Particle filtering approach to state estimation in Boolean dynamical systems.
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

Improved branch-and-bound algorithm for U-curve optimization.
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

Joint state and parameter estimation for Boolean dynamical systems.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A statistical test for intrinsically multivariate predictive genes.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis.
IEEE Trans. Signal Process., 2011

Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.
BMC Bioinform., 2011

Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens.
BMC Bioinform., 2011

High-dimensional bolstered error estimation.
Bioinform., 2011

Modeling and systematic analysis of LC-MS proteomics pipeline.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Sample-based estimators for the instrinsically multivariate prediction score.
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

Multiple reaction monitoring: Modeling and systematic analysis.
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

Maximum likelihood estimation of the binary Coefficient of Determination.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TA1b: Biosignal estimation and classification.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Optimal state estimation for Boolean dynamical systems.
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

Exact correlation between actual and estimated errors in discrete classification.
Pattern Recognit. Lett., 2010

ISMM 2007 Special Issue.
Image Vis. Comput., 2010

Small-Sample Error Estimation for Bagged Classification Rules.
EURASIP J. Adv. Signal Process., 2010

Exact Performance of CoD Estimators in Discrete Prediction.
EURASIP J. Adv. Signal Process., 2010

BPDA - A Bayesian peptide detection algorithm for mass spectrometry.
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

Bagging degrades the performance of linear discriminant classifiers.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Bolstered error estimator with feature selection.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
Intrinsically Multivariate Predictive Genes.
IEEE J. Sel. Top. Signal Process., 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
Impact of error estimation on feature selection.
Pattern Recognit., 2005

Exact performance of error estimators for discrete classifiers.
Pattern Recognit., 2005

Object-Based Image Analysis Using Multiscale Connectivity.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Multiscale Connected Operators.
J. Math. Imaging Vis., 2005

Constructing multiscale connectivities.
Comput. Vis. Image Underst., 2005

Superior feature-set ranking for small samples using bolstered error estimation.
Bioinform., 2005

Grayscale Level Multiconnectivity.
Proceedings of the Mathematical Morphology: 40 Years On, 2005

2004
Grayscale level connectivity: theory and applications.
IEEE Trans. Image Process., 2004

Supremal Multiscale Signal Analysis.
SIAM J. Math. Anal., 2004

Bolstered error estimation.
Pattern Recognit., 2004

Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators.
J. Electronic Imaging, 2004

Is cross-validation better than resubstitution for ranking genes?
Bioinform., 2004

Is cross-validation valid for small-sample microarray classification?
Bioinform., 2004

2003
A Theoretical Tour of Connectivity in Image Processing and Analysis.
J. Math. Imaging Vis., 2003

A multiscale approach to connectivity.
Comput. Vis. Image Underst., 2003

2002
Topology Correction in Brain Cortex Segmentation Using a Multi-Scale, Graph-Based Algorithm.
IEEE Trans. Medical Imaging, 2002

Connectivity on Complete Lattices: New Results.
Comput. Vis. Image Underst., 2002

2001
Graph-Based Topology Correction for Brain Cortex Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Multiresolution Connectivity: An Axiomatic Approach.
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
Alternating Sequential Filters by Adaptive-Neighborhood Structuring Functions.
Proceedings of the 3th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 1996


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