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Lucia Depaoli's Projects

activities-prediction icon activities-prediction

Master thesis project for Physics of Data at University of Padova. Activities Prediction of Business Process Instances using Deep Learning techniques.

bayesian-network-k2-algorithm icon bayesian-network-k2-algorithm

Project for Advanced Statistics of Physics Analysis course at University of Padua. Title: Bayesian Network and K2 algorithm.

covid-19-papers-distributed icon covid-19-papers-distributed

Distributed computing using DASK. Project developed for Management and Analysis of Physics Datasets course. Title: Analysis of COVID-19 papers on distributed machine using DASK.

hopfield_model icon hopfield_model

Project on Hopfield Model for Laboratory of Computational Physics at UniPD.

human-mobility-covid19 icon human-mobility-covid19

Epidemiology project about the correlation between Human Mobility and COVID-19 spreading epidemic. Project developed for the course Life Data Epidemiology.

image-colorization icon image-colorization

Automatic Image Colorization using CNN and Autoencoder architectures. Computer Vision project developed using PyTorch and Keras, for the course of Vision and Cognitive Services.

locp-exercises-2 icon locp-exercises-2

Repository for the tutorials and exercises for the course "Laboratory of Computational Physics" of the academic year 2020/21

protein-classification icon protein-classification

Project for Laboratory of Computational Physics course at University of Padua. Title: Protein Classification

redflag-project-network-science icon redflag-project-network-science

Project for Network Science course at University of Padua. Title: Cancel Culture and redflag hashtag: a social network analysis approach to social norms and morality generated in Twitter.

smart-grid-shapley-value icon smart-grid-shapley-value

Smart Grid management using a two-steps Shapley value computation. Project developed for the Game Theory course.

subject-identification-ecg-ppg-signal icon subject-identification-ecg-ppg-signal

Project for the Human Data Analytics course at University of Padua. Title: Subjects identification using ECG and PPG signals recorded from user-friendly devices

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