Alternating Sequential Filters by Adaptive-Neighborhood Structuring Functions. - Ulisses de Mendonça Braga Neto (ISMM, 1996)

A Mathematical Morphology Approach to the Star/Galaxy Characterization. - Alcione Jandir Candéas; Ulisses de Mendonça Braga Neto; Edson Costa de Barros Carvalho Filho (J. Braz. Comput. Soc., 1997)

Multiresolution Connectivity: An Axiomatic Approach. - Ulisses M. Braga-Neto; John Goutsias (ISMM, 2000)

Graph-Based Topology Correction for Brain Cortex Segmentation. - Xiao Han 007; Chenyang Xu 001; Ulisses M. Braga-Neto; Jerry L. Prince (IPMI, 2001)

Connectivity on Complete Lattices: New Results. - Ulisses M. Braga-Neto; John K. Goutsias (Comput. Vis. Image Underst., 2002)

Topology Correction in Brain Cortex Segmentation Using a Multi-Scale, Graph-Based Algorithm. - Xiao Han 007; Chenyang Xu 001; Ulisses M. Braga-Neto; Jerry L. Prince (IEEE Trans. Medical Imaging, 2002)

A multiscale approach to connectivity. - Ulisses M. Braga-Neto; John K. Goutsias (Comput. Vis. Image Underst., 2003)

A Theoretical Tour of Connectivity in Image Processing and Analysis. - Ulisses M. Braga-Neto; John K. Goutsias (J. Math. Imaging Vis., 2003)

Is cross-validation valid for small-sample microarray classification? - Ulisses M. Braga-Neto; Edward R. Dougherty (Bioinform., 2004)

Is cross-validation better than resubstitution for ranking genes? - Ulisses M. Braga-Neto; Ronaldo Fumio Hashimoto; Edward R. Dougherty; Danh V. Nguyen; Raymond J. Carroll (Bioinform., 2004)

Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators. - Ulisses M. Braga-Neto; Manish Choudhary; John Goutsias (J. Electronic Imaging, 2004)

Bolstered error estimation. - Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2004)

Supremal Multiscale Signal Analysis. - Ulisses M. Braga-Neto; John Goutsias (SIAM J. Math. Anal., 2004)

Grayscale level connectivity: theory and applications. - Ulisses M. Braga-Neto; John K. Goutsias (IEEE Trans. Image Process., 2004)

Grayscale Level Multiconnectivity. - Ulisses M. Braga-Neto (ISMM, 2005)

Superior feature-set ranking for small samples using bolstered error estimation. - Chao Sima; Ulisses M. Braga-Neto; Edward R. Dougherty (Bioinform., 2005)

Constructing multiscale connectivities. - Ulisses M. Braga-Neto; John Goutsias (Comput. Vis. Image Underst., 2005)

Multiscale Connected Operators. - Ulisses M. Braga-Neto (J. Math. Imaging Vis., 2005)

Object-Based Image Analysis Using Multiscale Connectivity. - Ulisses M. Braga-Neto; John Goutsias (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Exact performance of error estimators for discrete classifiers. - Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2005)

Impact of error estimation on feature selection. - Chao Sima; Sanju Attoor; Ulisses M. Braga-Neto; James Lowey; Edward Suh; Edward R. Dougherty (Pattern Recognit., 2005)

From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards. - Ulisses M. Braga-Neto; Ernesto T. A. Marques Jr. (PLoS Comput. Biol., 2006)

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. - Ulisses M. Braga-Neto (IEEE Signal Process. Mag., 2007)

Intrinsically Multivariate Predictive Genes. - David Correa Martins Jr.; Ulisses M. Braga-Neto; Ronaldo Fumio Hashimoto; Michael L. Bittner; Edward R. Dougherty (IEEE J. Sel. Top. Signal Process., 2008)

Bolstered error estimator with feature selection. - Chao Sima; Thang T. Vu; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2009)

Bagging degrades the performance of linear discriminant classifiers. - Thang T. Vu; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2009)

Sample size calculation from specified RMS of the resubstitution error for linear classifiers. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2009)

Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Yuriy Gusev; Raphael D. Isokpehi; Daniel Berleant; Ulisses M. Braga-Neto; Dawn Wilkins; Susan Bridges (BMC Bioinform., 2009)

Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. - Amin Zollanvari; Mary Jane Cunningham; Ulisses M. Braga-Neto; Edward R. Dougherty (BMC Bioinform., 2009)

Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics. - Erchin Serpedin; Javier Garcia-Frías; Yufei Huang 001; Ulisses M. Braga-Neto (EURASIP J. Bioinform. Syst. Biol., 2009)

Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data - A Model-Based Study. - Youting Sun; Ulisses M. Braga-Neto; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2009)

Is Bagging Effective in the Classification of Small-Sample Genomic and Proteomic Data? - Thang T. Vu; Ulisses M. Braga-Neto (EURASIP J. Bioinform. Syst. Biol., 2009)

On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2009)

Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule. - Ting Chen; Ulisses M. Braga-Neto (GENSiPS, 2010)

RMS bounds and sample size considerations for error estimation in linear discriminant analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2010)

BPDA - A Bayesian peptide detection algorithm for mass spectrometry. - Youting Sun; Jianqiu Zhang 002; Ulisses M. Braga-Neto; Edward R. Dougherty (BMC Bioinform., 2010)

Exact Performance of CoD Estimators in Discrete Prediction. - Ting Chen; Ulisses M. Braga-Neto (EURASIP J. Adv. Signal Process., 2010)

Small-Sample Error Estimation for Bagged Classification Rules. - Thang T. Vu; Ulisses M. Braga-Neto (EURASIP J. Adv. Signal Process., 2010)

ISMM 2007 Special Issue. - Gerald Jean Francis Banon; Ulisses M. Braga-Neto; Roberto Marcondes Cesar Jr. (Image Vis. Comput., 2010)

Exact correlation between actual and estimated errors in discrete classification. - Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit. Lett., 2010)

Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE Trans. Inf. Theory, 2010)

Optimal state estimation for Boolean dynamical systems. - Ulisses M. Braga-Neto (ACSCC, 2011)

Session TA1b: Biosignal estimation and classification. - Ulisses M. Braga-Neto; Antonia Papandreou-Suppappola (ACSCC, 2011)

Maximum likelihood estimation of the binary Coefficient of Determination. - Ting Chen; Ulisses M. Braga-Neto (ACSCC, 2011)

A parallel programming framework with Markovian messaging for LC-MS peptide detection. - Zhenghao Zhang; Youting Sun; Ulisses M. Braga-Neto; Edward R. Dougherty; Jianqiu Zhang 002 (BIBM Workshops, 2011)

Studying the possibility of peaking phenomenon in linear support vector machines with non-separable data. - Sardar Afra; Ulisses M. Braga-Neto (GENSiPS, 2011)

Multiple reaction monitoring: Modeling and systematic analysis. - Esmaeil Atashpaz-Gargari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2011)

Relationship between the accuracy of classifier error estimation and distribution complexity. - Esmaeil Atashpaz-Gargari; Chao Sima; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2011)

Sample-based estimators for the instrinsically multivariate prediction score. - Ting Chen; Ulisses M. Braga-Neto (GENSiPS, 2011)

Modeling and systematic analysis of LC-MS proteomics pipeline. - Youting Sun; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2011)

High-dimensional bolstered error estimation. - Chao Sima; Ulisses M. Braga-Neto; Edward R. Dougherty (Bioinform., 2011)

Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens. - Ying Wang; Noushin Ghaffari; Charles D. Johnson; Ulisses M. Braga-Neto; Hui Wang; Rui Chen; Huaijun Zhou (BMC Bioinform., 2011)

Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Doris M. Kupfer; Edward J. Perkins; Susan Bridges; Stephen Winters-Hilt; Mikhail G. Dozmorov; Ulisses M. Braga-Neto (BMC Bioinform., 2011)

Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE Trans. Signal Process., 2011)

A statistical test for intrinsically multivariate predictive genes. - Ting Chen; Ulisses M. Braga-Neto (GENSiPS, 2012)

Joint state and parameter estimation for Boolean dynamical systems. - Ulisses M. Braga-Neto (SSP, 2012)

BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry. - Youting Sun; Jianqiu Zhang 002; Ulisses M. Braga-Neto; Edward R. Dougherty (Bioinform., 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. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2012)

Improved branch-and-bound algorithm for U-curve optimization. - Esmaeil Atashpaz-Gargari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2013)

Optimal Bayesian MMSE estimation of the coefficient of determination for discrete prediction. - Ting Chen; Ulisses M. Braga-Neto (GENSiPS, 2013)

Effect of mixing probabilities on the bias of cross-validation under separate sampling. - Amin Zollanvari; Ulisses M. Braga-Neto; Edward R. Dougherty (GENSiPS, 2013)

Particle filtering approach to state estimation in Boolean dynamical systems. - Ulisses M. Braga-Neto (GlobalSIP, 2013)

Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables. - David Correa Martins Jr.; Evaldo Araújo de Oliveira; Ulisses M. Braga-Neto; Ronaldo Fumio Hashimoto; Roberto Marcondes Cesar Jr. (Inf. Sci., 2013)

Relationship between the accuracy of classifier error estimation and complexity of decision boundary. - Esmaeil Atashpaz-Gargari; Chao Sima; Ulisses M. Braga-Neto; Edward R. Dougherty (Pattern Recognit., 2013)

Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems. - Ting Chen; Ulisses M. Braga-Neto (IEEE Trans. Signal Process., 2013)

Optimal fault detection in stochastic Boolean regulatory networks. - Arghavan Bahadorinejad; Ulisses M. Braga-Neto (GlobalSIP, 2014)

A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces. - Xingde Jiang; Ulisses M. Braga-Neto (GlobalSIP, 2014)

Cross-validation under separate sampling: strong bias and how to correct it. - Ulisses M. Braga-Neto; Amin Zollanvari; Edward R. Dougherty (Bioinform., 2014)

Modeling and systematic analysis of biomarker validation using selected reaction monitoring. - Esmaeil Atashpaz-Gargari; Ulisses M. Braga-Neto; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2014)

Unbiased bootstrap error estimation for linear discriminant analysis. - Thang T. Vu; Chao Sima; Ulisses M. Braga-Neto; Edward R. Dougherty (EURASIP J. Bioinform. Syst. Biol., 2014)

Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. - Mahdi Imani; Ulisses M. Braga-Neto (ACSSC, 2015)

Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. - Mahdi Imani; Ulisses M. Braga-Neto (GlobalSIP, 2015)

Statistical Detection of Intrinsically Multivariate Predictive Genes. - Ting Chen; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2016)

Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. - Mahdi Imani; Ulisses M. Braga-Neto (CDC, 2016)

Bayesian estimation of the discrete coefficient of determination. - Ting Chen; Ulisses M. Braga-Neto (EURASIP J. Bioinform. Syst. Biol., 2016)

Bayesian top scoring pairs for feature selection. - Emre Arslan; Ulisses M. Braga-Neto (ACSSC, 2017)

Optimal finite-horizon sensor selection for Boolean Kalman Filter. - Mahdi Imani; Ulisses M. Braga-Neto (ACSSC, 2017)

Nonstationary linear discriminant analysis. - Shuilian Xie; Mahdi Imani; Edward R. Dougherty; Ulisses M. Braga-Neto (ACSSC, 2017)

Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2017)

Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks. - Alireza Karbalayghareh; Ulisses M. Braga-Neto; Edward R. Dougherty (BCB, 2017)

A Bayesian approach to Top-Scoring Pairs classification. - Emre Arslan; Ulisses M. Braga-Neto (ICASSP, 2017)

Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks. - Alireza Karbalayghareh; Ulisses M. Braga-Neto; Edward R. Dougherty (ICASSP, 2017)

Boolean Kalman Filter with correlated observation noise. - Levi D. McClenny; Mahdi Imani; Ulisses M. Braga-Neto (ICASSP, 2017)

BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. - Levi D. McClenny; Mahdi Imani; Ulisses M. Braga-Neto (BMC Bioinform., 2017)

Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Signal Process., 2017)

Optimal Control of Gene Regulatory Networks with Unknown Cost Function. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2018)

Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. - Ehsan Hajiramezanali; Mahdi Imani; Ulisses M. Braga-Neto; Xiaoning Qian; Edward R. Dougherty (BCB, 2018)

Inference of gene regulatory Networks by Maximum-likelihood adaptive filtering and discrete fish School Search. - Yukun Tan; Fernando B. Lima Neto; Ulisses M. Braga-Neto (MLSP, 2018)

Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. - Mahdi Imani; Seyede Fatemeh Ghoreishi; Ulisses M. Braga-Neto (NeurIPS, 2018)

Particle filters for partially-observed Boolean dynamical systems. - Mahdi Imani; Ulisses M. Braga-Neto (Autom., 2018)

Finite-horizon LQR controller for partially-observed Boolean dynamical systems. - Mahdi Imani; Ulisses M. Braga-Neto (Autom., 2018)

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. - Mahdi Imani; Roozbeh Dehghannasiri; Ulisses M. Braga-Neto; Edward R. Dougherty (CoRR, 2018)

Gene regulatory network state estimation from arbitrary correlated measurements. - Mahdi Imani; Ulisses M. Braga-Neto (EURASIP J. Adv. Signal Process., 2018)

A fast Branch-and-Bound algorithm for U-curve feature selection. - Esmaeil Atashpaz-Gargari; Marcelo da Silva Reis; Ulisses M. Braga-Neto; Junior Barrera; Edward R. Dougherty (Pattern Recognit., 2018)

Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing. - Arghavan Bahadorinejad; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Classification of State Trajectories in Gene Regulatory Networks. - Alireza Karbalayghareh; Ulisses M. Braga-Neto; Jianping Hua; Edward Russell Dougherty (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Control. Netw. Syst., 2018)

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. - Mahdi Imani; Seyede Fatemeh Ghoreishi; Douglas L. Allaire; Ulisses M. Braga-Neto (AAAI, 2019)

Severe Dengue Prognosis Using Human Genome Data and Machine Learning. - 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 (IEEE Trans. Biomed. Eng., 2019)

Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data. - Alireza Karbalayghareh; Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Control. Syst. Technol., 2019)

Fundamentals of Pattern Recognition and Machine Learning - Ulisses M. Braga-Neto (Springer, 2020)

Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling. - Yukun Tan; Fernando B. Lima Neto; Ulisses M. Braga-Neto (MLSP, 2020)

Boolean Kalman filter and smoother under model uncertainty. - Mahdi Imani; Edward R. Dougherty; Ulisses M. Braga-Neto (Autom., 2020)

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. - Levi D. McClenny; Mulugeta A. Haile; Vahid Attari; Brian M. Sadler; Ulisses M. Braga-Neto; Raymundo Arróyave (CoRR, 2020)

Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. - Parisa Ghane; Ulisses M. Braga-Neto (CoRR, 2020)

Machine Learning Requires Probability and Statistics [Perspectives]. - Ulisses M. Braga-Neto; Edward R. Dougherty (IEEE Signal Process. Mag., 2020)

Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. - Arghavan Bahadorinejad; Mahdi Imani; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism. - Levi D. McClenny; Ulisses M. Braga-Neto (AAAI Spring Symposium: MLPS, 2021)

Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. - Parisa Ghane; Narges Zarnaghinaghsh; Ulisses M. Braga-Neto (BCI, 2021)

A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes. - Caio Davi; Ulisses M. Braga-Neto (MLSP, 2021)

TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks. - Levi D. McClenny; Mulugeta A. Haile; Ulisses M. Braga-Neto (CoRR, 2021)

A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread. - Yukun Tan; Durward Cator III; Martial L. Ndeffo Mbah; Ulisses M. Braga-Neto (CoRR, 2021)

PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. - Caio Davi; Ulisses M. Braga-Neto (CoRR, 2022)

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. - Yicheng Wang; Xiaotian Han; Chia-Yuan Chang 002; Daochen Zha; Ulisses Braga-Neto; Xia Hu 001 (CoRR, 2022)

Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications. - 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 (CoRR, 2022)

Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages. - 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 (CoRR, 2022)

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning. - 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 (CoRR, 2022)

Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems. - Ulisses Braga-Neto (CoRR, 2022)

Generalized Resubstitution for Classification Error Estimation. - Parisa Ghane; Ulisses Braga-Neto (J. Mach. Learn. Res., 2022)

A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. - Sambandh Bhusan Dhal; Kyle Jungbluth; Raymond Lin; Seyed Pouyan Sabahi; Muthukumar Bagavathiannan; Ulisses Braga-Neto; Stavros Kalafatis (Sensors, 2022)

PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data. - Yukun Tan; Fernando B. Lima Neto; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting Generalization in Deep Learning Using Data Augmentation and posterior Probability Estimators. - Parisa Ghane; Ulisses Braga-Neto (MLSP, 2023)

Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery. - 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 (Comput. Electron. Agric., 2023)

Physics-informed neural networks with adaptive localized artificial viscosity. - Emilio Jose Rocha Coutinho; Marcelo Dall'Aqua; Levi D. McClenny; Ming Zhong 008; Ulisses Braga-Neto; Eduardo Gildin (J. Comput. Phys., 2023)

Self-adaptive physics-informed neural networks. - Levi D. McClenny; Ulisses M. Braga-Neto (J. Comput. Phys., 2023)

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. - 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 001 (IEEE Signal Process. Mag., 2023)

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. - 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 001 (IEEE Signal Process. Mag., 2023)

Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations. - Sahel Iqbal; Hany Abdulsamad; Tripp Cator; Ulisses Braga-Neto; Simo Särkkä (MLSP, 2024)

Towards a Surrogate-assisted PALLAS algorithm for Gene Regulatory Network Inference. - Hugo de Andrade Amorim Neto; Luis Loo; Marcelo Gomes Pereira de Lacerda; Ulisses Braga-Neto; Fernando Buarque de Lima Neto (BSB, 2024)

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. - Ming Zhong 008; Dehao Liu; Raymundo Arróyave; Ulisses Braga-Neto (CoRR, 2024)

Structure Preserving PINN for Solving Time Dependent PDEs with Periodic Boundary. - Baoli Hao; Ulisses Braga-Neto; Chun Liu; Lifan Wang; Ming Zhong 008 (CoRR, 2024)

DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators. - Shao-Ting Chiu; Junyuan Hong; Ulisses Braga-Neto (CoRR, 2024)

Generalized Resubstitution for Regression Error Estimation. - Diego Marcondes; Ulisses Braga-Neto (CoRR, 2024)

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. - Sambandh Bhusan Dhal; Stavros Kalafatis; Ulisses Braga-Neto; Krishna Chaitanya Gadepally; Jose Luis Landivar-Scott; Lei Zhao 014; Kevin J. Nowka; Juan Landivar 001; Pankaj Pal; Mahendra Bhandari (Remote. Sens., 2024)

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