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Ulisses M. Braga-Neto

Ulisses M. Braga-Neto

D-Index & Metrics

Computer Science

D-Index
36
Citations
4888
World Ranking
11341
National Ranking
4674

Overview

Ulisses M. Braga-Neto is affiliated with Texas A&M University in the United States. Their research spans multiple interconnected fields including Artificial Intelligence, Plant Science, Statistical and Nonlinear Physics, Molecular Biology, and Ecology. This multidisciplinary approach is reflected in their publication record and research topics.

The scientist has contributed to a variety of topics, notably in Smart Agriculture and AI, Model Reduction and Neural Networks, Neural Networks and Applications, Remote Sensing in Agriculture, Insect and Arachnid Ecology and Behavior, Innovations in Aquaponics and Hydroponics Systems, and Water Quality Monitoring Technologies.

Braga-Neto's recent papers include:

  • Self-adaptive physics-informed neural networks, 2022, Journal of Computational Physics
  • Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism, 2020, arXiv (Cornell University)
  • Self-Adaptive Physics-Informed Neural Networks, 2022, SSRN Electronic Journal
  • Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets, 2022, Artificial Intelligence in Agriculture
  • A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations, 2022, Sensors

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE Signal Processing Magazine, SSRN Electronic Journal, Artificial Intelligence in Agriculture, and Remote Sensing.

Braga-Neto has collaborated regularly with several co-authors who have each contributed to multiple publications alongside them. These frequent collaborators include:

  • Pappu Kumar Yadav
  • J. Alex Thomasson
  • Robert G. Hardin
  • Stephen W. Searcy
  • Sorin C. Popescu

Best Publications

  • Is cross-validation valid for small-sample microarray classification?

    Ulisses M. Braga-Neto;Edward R. Dougherty

  • Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators

    Ulisses M. Braga-Neto;Ulisses M. Braga-Neto;Manish Choudhary;John Goutsias

  • Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm

    Xiao Han;Chenyang Xu;U. Braga-Neto;J.L. Prince

  • Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens

    Ying Wang;Noushin Ghaffari;Charles D. Johnson;Ulisses M Braga-Neto

  • Bolstered error estimation

    Ulisses M. Braga-Neto;Ulisses M. Braga-Neto;Edward R. Dougherty;Edward R. Dougherty

  • Is cross-validation better than resubstitution for ranking genes?

    Ulisses Braga-Neto;Ronaldo Hashimoto;Edward R. Dougherty;Danh V. Nguyen

  • Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems

    Mahdi Imani;Ulisses M. Braga-Neto

  • A Theoretical Tour of Connectivity in Image Processing and Analysis

    Ulisses Braga-Neto;John Goutsias

  • From functional genomics to functional immunomics: new challenges, old problems, big rewards.

    Ulisses M Braga-Neto;Ernesto T. A Marques

  • Connectivity on complete lattices: new results

    Ulisses Braga-Neto;John Goutsias

  • Particle filters for partially-observed Boolean dynamical systems

    Mahdi Imani;Ulisses M. Braga-Neto

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

    Mahdi Imani;Seyede Fatemeh Ghoreishi;Ulisses M. Braga-Neto

  • EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY

    Edward R. Dougherty;Edward R. Dougherty;Ulisses Braga-Neto

  • 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

  • Exact performance of error estimators for discrete classifiers

    Ulisses Braga-Neto;Edward Dougherty

  • 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

    U. Braga-Neto

  • Severe Dengue Prognosis Using Human Genome Data and Machine Learning

    Caio Davi;Andre Pastor;Thiego Oliveira;Fernando B. de Lima Neto

  • Impact of error estimation on feature selection

    Chao Sima;Sanju Attoor;Ulisses Brag-Neto;James Lowey

  • Reliable Classifier to Differentiate Primary and Secondary Acute Dengue Infection Based on IgG ELISA

    Marli Tenório Cordeiro;Ulisses Braga-Neto;Ulisses Braga-Neto;Rita Maria Ribeiro Nogueira;Ernesto T. A. Marques;Ernesto T. A. Marques

  • Grayscale level connectivity: theory and applications

    U. Braga-Neto;J. Goutsias

  • Performance of Error Estimators for Classification

    Edward R. Dougherty;Chao Sima;Hua;Blaise Hanczar

  • Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning

    Mahdi Imani;Ulisses M. Braga-Neto

Frequent Co-Authors

Edward R. Dougherty
Edward R. Dougherty Texas A&M University
Ernesto T. A. Marques
Ernesto T. A. Marques University of Pittsburgh
John Goutsias
John Goutsias Johns Hopkins University
Huaijun Zhou
Huaijun Zhou University of California, Davis
Sergio Crovella
Sergio Crovella Qatar University
Luis O. Tedeschi
Luis O. Tedeschi Texas A&M University
Jonathan D. Wren
Jonathan D. Wren Oklahoma Medical Research Foundation
Michael J. Bamshad
Michael J. Bamshad University of Washington
Donald Geman
Donald Geman Johns Hopkins University
Duane H. Keisler
Duane H. Keisler University of Missouri

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