Ulisses Braga Neto
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American electrical engineer
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Ulisses Braga Netoengineering Degrees
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#851
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#2355
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#292
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#3027
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#291
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Engineering
Why Is Ulisses Braga Neto Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ulisses M. Braga Neto is a Brazilian-American electrical engineer and is currently Professor of Electrical and Computer Engineering at Texas A&M University. His main research areas are statistical pattern recognition, machine learning, signal and image processing, and systems biology. He has worked extensively in the field of error estimation for pattern recognition and machine learning, having published with Edward R. Dougherty the first book dedicated to this topic. Braga-Neto has also published a classroom textbook on Pattern Recognition and Machine Learning. He has also made contributions to the field of Mathematical morphology in signal and image processing.
Ulisses Braga Neto's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Is cross-validation valid for small-sample microarray classification? (2004) (618)
- Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm (2002) (141)
- Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens (2011) (131)
- Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators (2004) (128)
- Bolstered error estimation (2004) (127)
- Alternative Complement Pathway Deregulation Is Correlated with Dengue Severity (2009) (114)
- Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism (2020) (110)
- Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems (2017) (92)
- Is cross-validation better than resubstitution for ranking genes? (2004) (90)
- Gene Expression Profiling during Early Acute Febrile Stage of Dengue Infection Can Predict the Disease Outcome (2009) (89)
- A Theoretical Tour of Connectivity in Image Processing and Analysis (2003) (79)
- Connectivity on Complete Lattices: New Results (2002) (71)
- From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards (2006) (63)
- Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments (2018) (58)
- MBL2 gene polymorphisms protect against development of thrombocytopenia associated with severe dengue phenotype. (2008) (57)
- Impact of error estimation on feature selection (2005) (55)
- MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models (2019) (55)
- Exact performance of error estimators for discrete classifiers (2005) (54)
- Particle filters for partially-observed Boolean dynamical systems (2018) (54)
- Superior feature-set ranking for small samples using bolstered error estimation (2005) (54)
- Performance of Error Estimators for Classification (2010) (52)
- EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY (2006) (51)
- Reliable Classifier to Differentiate Primary and Secondary Acute Dengue Infection Based on IgG ELISA (2009) (48)
- 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 (2007) (47)
- Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis (2011) (47)
- Error Estimation for Pattern Recognition (2015) (46)
- Intrinsically Multivariate Predictive Genes (2008) (44)
- Grayscale level connectivity: theory and applications (2004) (44)
- The Illusion of Distribution-Free Small-Sample Classification in Genomics (2011) (43)
- Description of a Prospective 17DD Yellow Fever Vaccine Cohort in Recife, Brazil (2011) (42)
- Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs (2017) (41)
- Gene expression in the arcuate nucleus of heifers is affected by controlled intake of high- and low-concentrate diets. (2012) (40)
- T-Cell Memory Responses Elicited by Yellow Fever Vaccine are Targeted to Overlapping Epitopes Containing Multiple HLA-I and -II Binding Motifs (2013) (38)
- Boolean Kalman filter and smoother under model uncertainty (2020) (37)
- On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers (2009) (36)
- Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother (2015) (35)
- A multiscale approach to connectivity (2003) (34)
- Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation (2015) (34)
- Severe Dengue Prognosis Using Human Genome Data and Machine Learning (2019) (33)
- Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning (2019) (33)
- Optimal state estimation for Boolean dynamical systems (2011) (32)
- Rank discriminants for predicting phenotypes from RNA expression (2014) (29)
- Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis (2010) (28)
- Exact correlation between actual and estimated errors in discrete classification (2010) (26)
- Cross-validation under separate sampling: strong bias and how to correct it (2014) (26)
- A fast Branch-and-Bound algorithm for U-curve feature selection (2018) (24)
- Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements (2019) (23)
- Nonstationary linear discriminant analysis (2017) (23)
- Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data—A Model-Based Study (2010) (23)
- Alternating Sequential Filters by Adaptive-Neighborhood Structuring Functions (1996) (22)
- Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty (2018) (22)
- Complement factor H gene (CFH) polymorphisms C-257T, G257A and haplotypes are associated with protection against severe dengue phenotype, possible related with high CFH expression. (2013) (22)
- Finite-horizon LQR controller for partially-observed Boolean dynamical systems (2018) (21)
- Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems (2017) (20)
- Object-based image analysis using multiscale connectivity (2005) (20)
- 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 (2012) (20)
- Confidence Intervals for the True Classification Error Conditioned on the Estimated Error (2006) (20)
- BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems (2017) (20)
- Graph-Based Topology Correction for Brain Cortex Segmentation (2001) (19)
- Optimal finite-horizon sensor selection for Boolean Kalman Filter (2017) (19)
- Multiscale Connected Operators (2005) (19)
- Semi-Supervised Learning Approaches to Class Assignment in Ambiguous Microstructures (2019) (19)
- State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data (2016) (19)
- Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space (2016) (18)
- BPDA - A Bayesian peptide detection algorithm for mass spectrometry (2010) (18)
- Serum cytokine/chemokine profiles in patients with dengue fever (DF) and dengue hemorrhagic fever (FHD) by using protein array. (2017) (16)
- Boolean Kalman Filter with correlated observation noise (2017) (15)
- Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing (2018) (15)
- Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems (2020) (15)
- Error Estimation for Pattern Recognition: Braga-Neto/Error (2015) (15)
- Fundamentals of Pattern Recognition and Machine Learning (2020) (14)
- BoolFilter Package Vignette (2017) (14)
- Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems (2013) (14)
- 91 FADS AND FALLACIES IN THE NAME OF SMALL-SAMPLE MICROARRAY CLASSIFICATION (2007) (13)
- Supremal Multiscale Signal Analysis (2004) (13)
- High-dimensional bolstered error estimation (2011) (12)
- Classification of State Trajectories in Gene Regulatory Networks (2018) (12)
- A Mathematical Morphology Approach to the Star/Galaxy Characterization (1997) (12)
- BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry (2012) (12)
- Gene regulatory network state estimation from arbitrary correlated measurements (2018) (12)
- A systematic model of the LC-MS proteomics pipeline (2012) (11)
- Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes (2009) (11)
- Multiresolution Connectivity: An Axiomatic Approach (2000) (11)
- Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks (2018) (11)
- Classification and Error Estimation for Discrete Data (2009) (11)
- TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks (2021) (10)
- Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty (2018) (10)
- Optimal Control of Gene Regulatory Networks with Unknown Cost Function (2018) (10)
- Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data (2019) (9)
- Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data? (2009) (9)
- A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces (2014) (9)
- Bayesian estimation of the discrete coefficient of determination (2016) (9)
- Small-sample error estimation: mythology versus mathematics (2005) (8)
- Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks (2017) (8)
- Detecting mines and minelike objects in highly cluttered multispectral aerial images by means of mathematical morphology (1998) (8)
- Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables (2013) (7)
- Exact Performance of CoD Estimators in Discrete Prediction (2010) (7)
- Particle filtering approach to state estimation in Boolean dynamical systems (2013) (7)
- Constructing multiscale connectivities (2005) (7)
- A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations (2022) (6)
- Statistical Detection of Intrinsically Multivariate Predictive Genes (2015) (6)
- Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery (2022) (6)
- Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data (2011) (6)
- Relationship between the accuracy of classifier error estimation and complexity of decision boundary (2013) (6)
- Unbiased bootstrap error estimation for linear discriminant analysis (2014) (6)
- Self-adaptive physics-informed neural networks (2022) (6)
- Joint state and parameter estimation for Boolean dynamical systems (2012) (5)
- Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture (2022) (5)
- Volunteer cotton plant detection in corn field with deep learning (2022) (5)
- Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity (2022) (5)
- PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization (2022) (5)
- IgG response to SARS-CoV-2 and seasonal coronaviruses contributes to complement overactivation in severe COVID-19 patients. (2022) (4)
- PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks from Time Series Data (2020) (4)
- Dietary Treatments That Facilitate Early Onset of Puberty in Heifers Alter Gene Expression in the Arcuate Nucleus. (2009) (4)
- Modeling and systematic analysis of biomarker validation using selected reaction monitoring (2014) (4)
- Statistical Detection of Boolean Regulatory Relationships (2013) (4)
- Maximum likelihood estimation of the binary Coefficient of Determination (2011) (3)
- Optimal Classification (2020) (3)
- Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI (2020) (3)
- Optimal Bayesian MMSE estimation of the coefficient of determination for discrete prediction (2013) (3)
- Bayesian Classification of Genomic Big Data (2018) (3)
- Optimal fault detection in stochastic Boolean regulatory networks (2014) (3)
- The role of “omics” technologies for livestock sustainability (2017) (3)
- Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages (2022) (2)
- BPDA 2 d — A 2 D global optimization based Bayesian peptide detection algorithm for LC-MS (2011) (2)
- Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications (2022) (2)
- Preliminary study on bolstered error estimation in high-dimensional spaces (2008) (2)
- Bagging degrades the performance of linear discriminant classifiers (2009) (2)
- Improved branch-and-bound algorithm for U-curve optimization (2013) (2)
- On the Bias of Precision Estimation Under Separate Sampling (2019) (2)
- Modeling and systematic analysis of LC-MS proteomics pipeline (2011) (2)
- Bayesian ABC-MCMC Classification of Liquid Chromatography–Mass Spectrometry Data (2015) (2)
- INFERENCE OF GENE REGULATORY NETWORKS BY MAXIMUM-LIKELIHOOD ADAPTIVE FILTERING AND DISCRETE FISH SCHOOL SEARCH (2018) (2)
- Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis (2022) (2)
- An asymptotically-exact expression for the variance of classification error for the discrete histogram rule (2008) (2)
- Sample-based estimators for the instrinsically multivariate prediction score (2011) (2)
- Bayesian Classification of Microbial Communities Based on 16S rRNA Metagenomic Data (2018) (2)
- Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks (2017) (2)
- Bayesian Classification of Proteomics Biomarkers from Selected Reaction Monitoring Data using an Approximate Bayesian Computation-Markov Chain Monte Carlo Approach (2018) (2)
- Relationship between the accuracy of classifier error estimation and distribution complexity (2011) (1)
- Session TA1b: Biosignal estimation and classification (2011) (1)
- Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal (2009) (1)
- Nonparametric Classification (2020) (1)
- Model Selection for Classification (2020) (1)
- Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference (2009) (1)
- Bayesian top scoring pairs for feature selection (2017) (1)
- Contribution of Coronavirus-Specific Immunoglobulin G Responses to Complement Overactivation in Patients with Severe Coronavirus Disease 2019 (2022) (1)
- Genomic Signal Processing (2010) (1)
- Small-Sample Error Estimation for Bagged Classification Rules (2010) (1)
- A statistical test for intrinsically multivariate predictive genes (2012) (1)
- Parametric Classification (2020) (1)
- A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes (2020) (1)
- A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread (2021) (1)
- Computational Intelligence applied to Human Genome Data for the Dengue Severity Prognosis (2019) (1)
- A systematic model of the LC-MS proteomics pipeline (2012) (1)
- Deep Multimodal Transfer-Learned Regression in Data-Poor Domains (2020) (1)
- Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics (2009) (1)
- A Bayesian approach to Top-Scoring Pairs classification (2017) (1)
- Regression (2020) (0)
- Effect of mixing probabilities on the bias of cross-validation under separate sampling (2013) (0)
- Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling (2020) (0)
- Fads and Fallacies in the Name of Small-Sample Classification (2007) (0)
- Bayesian MMSE Error Estimation (2015) (0)
- Generalized Resubstitution for Classification Error Estimation (2021) (0)
- RMS bounds and sample size considerations for error estimation in linear discriminant analysis (2010) (0)
- Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems (2022) (0)
- Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty (2019) (0)
- Dimensionality Reduction (2020) (0)
- PREDICTING ACADEMIC PERFORMANCE OF POTENTIAL ELECTRICAL ENGINEERING MAJORS A Thesis by SANJHANA SUNDARARAJ (2017) (0)
- BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems (2017) (0)
- Bolstered error estimator with feature selection (2009) (0)
- Clustering (2020) (0)
- Network properties of intrinsically multivariate predictive genes (2008) (0)
- Gaussian Distribution Theory: Multivariate Case (2015) (0)
- Introduction (2020) (0)
- ISMM 2007 Special Issue (2010) (0)
- Hypothetical Human Immune Genome Complex Gradient May Help to Explain the Congenital Zika Symdrome Catastrophe in Brazil: A New Theory (2020) (0)
- Function-Approximation Classification (2020) (0)
- Gene regulatory network state estimation from arbitrary correlated measurements (2018) (0)
- Error Estimation for Discrete Classification (2015) (0)
- Multiple reaction monitoring: Modeling and systematic analysis (2011) (0)
- Mathematical morphology tools for 3D image analysis of porous media (1995) (0)
- Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule (2010) (0)
- Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning (2022) (0)
- Using Physics Informed Neural Networks for Supernova Radiative Transfer Simulation (2022) (0)
- Sample-Based Classification (2020) (0)
- Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference (2011) (0)
- Unbiased Precision Estimation under Separate Sampling (2018) (0)
- Machine Learning Requires Probability and Statistics [Perspectives] (2020) (0)
- A parallel programming framework with Markovian messaging for LC-MS peptide detection (2011) (0)
- ParticleFilters for Partially-ObservedBooleanDynamical Systems (2017) (0)
- Short-chain fatty acid production in accessible and inaccessible body pools as assessed by novel stable tracer pulse approach is reduced by aging independent of presence of COPD. (2023) (0)
- Basic Probability Review (2015) (0)
- Sample size calculation from specified RMS of the resubstitution error for linear classifiers (2009) (0)
- Generalized Resubstitution for Classification Error Estimation (2022) (0)
- Error Estimation for Classification (2020) (0)
- Grayscale Level Multiconnectivity (2005) (0)
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