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Forest Drought Impact Prediction based on Spatio-temporal Satellite Imagery and Weather Forecasts -- A Spatio-Temporal Approach using Convolutional LSTM Models

Devis Tuia
2023
Conference Papers

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Devis Tuia
2023
Conference Papers

Source officielle

Publications associées (25)

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https://infoscience.epfl.ch/entities/publication/87d953de-ddcb-4f05-8014-92a7d0e76cf8

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Publications associées (25)

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Deep Neural Networks: Large-Width Behavior and Generalization Bounds

Evgenii Golikov

During several decades, neural network architectures have undergone considerable evolution: from shallow to deep, from fully connected to structured (e.g. convolutional, recurrent, or residual), from unnormalized to normalized. The present thesis contribut ...

EPFL2025

Source-Free Domain-Invariant Performance Prediction

Mathieu Salzmann

Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data in their ...

Springer Nature2025

Metacognition meets AI: Empowering reflective writing with large language models

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Seyed Parsa Neshaei

Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational tec ...

Wiley2025