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GiorgioMorales/README.md

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Hi there 👋

I am a PhD student in computer science at Montana State University and a current member of the Numerical Intelligent Systems Laboratory (NISL). I hold a BS in mechatronic engineering from the National University of Engineering, Peru, and an MS in computer science from Montana State University, USA. My research interests are Deep Learning, Explainable Machine Learning, Automated Machine Learning, Computer Vision, and Precision Agriculture.

  • 🔭 I’m currently working on the On-Field Precision Experiment project.
  • 🌱 I’m currently learning about Symbolic Regression and Bayesian Optimization.
  • 😄 Pronouns: He/him/his.
  • ⚡ Fun fact: Birds are real.

Pinned Loading

  1. NISL-MSU/AdaptiveSampling NISL-MSU/AdaptiveSampling Public

    Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. AAAI 2025.

    Jupyter Notebook 1

  2. NISL-MSU/MultiSetSR NISL-MSU/MultiSetSR Public

    Symbolic Regression with Univariate Skeleton Prediction in Multivariate Systems Using Transformers. ECML 2024

    Python 1

  3. NISL-MSU/PredictionIntervals NISL-MSU/PredictionIntervals Public

    DualAQD: Dual Accuracy-quality-driven Prediction Intervals. IEEE TNNLS 2023.

    Jupyter Notebook 10

  4. NISL-MSU/HSI-BandSelection NISL-MSU/HSI-BandSelection Public

    Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.

    Jupyter Notebook 56 13

  5. NISL-MSU/ResponsivityAnalysis NISL-MSU/ResponsivityAnalysis Public

    Counterfactual explanations for the identification of the features with the highest relevance on the shape of response curves generated by neural network black boxes. IJCNN 2023.

    Python 1 1

  6. SolarRadiometer SolarRadiometer Public

    Low-Cost Solar Radiometer Implementation

    C++ 1