MicheleDiSabato

anndl-course-projects

This repository contains the results of two challenges organized for the course of Artificial Neural Networks and Deep Learning [Politecnico di Milano, 2021/2022].

atp-calibration

Calibration of the monodomain model coupled with the Rogers-McCulloch model for the ionic current: design of a protocol for impulse delivery from an ATP device.

BayesianOptimizationKG

Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation

covid-19

Forecast COVID 19 trend for three regions in Italy.

detecting-abnormal-markets-ews

Detecting Abnormal Markets - Early Warning Systems

EESTEC-challenge

Solution of a machine learning problem during the 12 hours hackathon EESTEC challenge, local round (Milan)

laa-thrombosis

Developement of FreeFem code to rank Left Atrial Appendages in terms of risk for thrombosis propensity.

NN_LearningOfRstar_COVID19

Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

voronoi-functional-anomaly-detection

MicheleDiSabato/BayesianOptimizationKG

Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation

MicheleDiSabato/atp-calibration

Calibration of the monodomain model coupled with the Rogers-McCulloch model for the ionic current: design of a protocol for impulse delivery from an ATP device.

MicheleDiSabato/covid-19

Forecast COVID 19 trend for three regions in Italy.

MicheleDiSabato/laa-thrombosis

Developement of FreeFem code to rank Left Atrial Appendages in terms of risk for thrombosis propensity.

MicheleDiSabato/anndl-course-projects

This repository contains the results of two challenges organized for the course of Artificial Neural Networks and Deep Learning [Politecnico di Milano, 2021/2022].

MicheleDiSabato/detecting-abnormal-markets-ews

Detecting Abnormal Markets - Early Warning Systems

MicheleDiSabato/EESTEC-challenge

Solution of a machine learning problem during the 12 hours hackathon EESTEC challenge, local round (Milan)

MicheleDiSabato/NN_LearningOfRstar_COVID19

Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.

MicheleDiSabato/statistics-behind-spotify

Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?

MicheleDiSabato/voronoi-functional-anomaly-detection

MicheleDiSabato/AppliedStatistics

Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.

MicheleDiSabato/fdasrvf

:exclamation: This is a read-only mirror of the CRAN R package repository. fdasrvf — Elastic Functional Data Analysis

MicheleDiSabato/openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 100 supported car makes and models.

MicheleDiSabato/r-source

R Source Code