Transforming Earth Observation with Explainable AI

Bridging gaps in interpretability for real-world applications and knowledge transfer.

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Innovative Explainable AI Solutions

We bridge gaps in explainable AI for Earth observation, focusing on practical utility and addressing biases in research to enhance interpretability for real-world applications and users.

A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.

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AI for Earth

Bridging gaps in explainable AI for effective Earth observation and real-world applications.

Addressing Research Gaps
A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.

Focusing on utility and real-world interpretability to enhance understanding and application.

A monochrome image featuring an illuminated neural network pattern resembling a human brain against a dark background. Below the brain image is a text section, which includes the title 'seeing the beautiful brain today' in bold and descriptive text about advances in neuroscience and imaging techniques.
A monochrome image featuring an illuminated neural network pattern resembling a human brain against a dark background. Below the brain image is a text section, which includes the title 'seeing the beautiful brain today' in bold and descriptive text about advances in neuroscience and imaging techniques.
A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.
A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.
Promoting Simple Models

Highlighting the importance of simple models with comparable predictive accuracy for better understanding.

Innovative Interpretability Methods

Enhancing interpretability for practical applications and user engagement.
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Bridging gaps in explainable AI for Earth.

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