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andrea-cavallo-98/README.md

๐Ÿ‘‹ Hi there, I'm Andrea

  • ๐Ÿ“š I am a PhD student at TU Delft (๐Ÿ‡ณ๐Ÿ‡ฑ) focusing on Learning and Processing over dynamic graphs.

  • ๐Ÿ• Previously, I worked as a Research Assistant at Politecnico di Torino (๐Ÿ‡ฎ๐Ÿ‡น), where I applied Graph Machine Learning for anomaly detection on computer networks. I was also an intern at the Huawei Munich Research Center (๐Ÿ‡ฉ๐Ÿ‡ช), where I studied Graph Neural Networks on heterophilous graphs.

  • ๐Ÿค“ I received my Master's Degree in Computer Engineering and Artificial Intelligence from Politecnico di Torino.

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  1. Advanced-Machine-Learning Advanced-Machine-Learning Public

    Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.

    Python 1 1

  2. Hanabi-Genetic-Algorithm Hanabi-Genetic-Algorithm Public

    Island model genetic algorithm to evolve a player for the game Hanabi. Project for the course Computational Intelligence.

    Python

  3. Wine-Quality-Detection Wine-Quality-Detection Public

    Implementation from scratch of several classification algorithms and evaluation on wine quality dataset.

    Python

  4. gioele-scaletta/Graph-Coloring-System-Device-Programming-Project gioele-scaletta/Graph-Coloring-System-Device-Programming-Project Public

    C++ 1

  5. Low-resource-Machine-Translation Low-resource-Machine-Translation Public

    Multilingual finetuning of Machine Translation model on low-resource languages. Project for Deep Natural Language Processing course.

    Jupyter Notebook 4 2

  6. SmartData-Polito/GCNH SmartData-Polito/GCNH Public

    Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

    Python 7 1