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Hi there 👋

I'm interested in Machine Learning and Deep Learning algorithms for Earth Observation and Remote Sensing.

carls31

Connect with me:

https://www.linkedin.com/in/lorenzo-carlassara/

My projects:

Be sure to check out my pinned projects below!

  • earth-observation-for-fire-mapping assess burn severity indexes for fire mapping using multispectral satellite imagery
  • se4geo-lab development of an interactive application for air pollution monitoring
  • multiclass-logistic-regression-model for cardiovascular heart disease prediction
  • an2dl-image-classification Deep Learning: transfer learning approach with the ConvNeXtLarge model
  • gis-lab-website landslide susceptibility map website for geohazard risk assessment
  • mfbo-method is an efficient method for reducing uncertainty using multi fidelity and Bayesian optimization with a general overview of possible acquisition functions (rewritten for Torch Functional API).

Languages and Tools:

python pytorch botorch tensorflow keras git linux docker

carls31

 carls31

Lorenzo Carlassara's Projects

al-vsvm icon al-vsvm

Active learning method for Virtual Support Vector Machine with self-learning constraints

gee-hydrology icon gee-hydrology

Introduction to Google Earth Engine for Advanced Geospatial Analysis

qcc icon qcc

Source code for the book "Quantum Computing for Programmers", Cambridge University Press

ts-data-analysis icon ts-data-analysis

Project assignment of the course "Geospatial Data Analysis" at Politecnico di Milano

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