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Alessio Ciullo's Projects

boario icon boario

Python implementation of ARIO model

chaz icon chaz

Columbia tropical cyclone HAZard model (CHAZ)

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

floodriskmanagement_model_rhine icon floodriskmanagement_model_rhine

Simulation model to assess the risk reduction of (1) dike heightening, (2) making room for the River and (3) discharge distribution strategies along the Lower Rhine River in the presence of hydrological and dike stability uncertainties.

gsa_dependent_variables icon gsa_dependent_variables

Python implementation of the procedure and test cases proposed in: S. Kucherenko, S. Tarantola, P. Annoni. Estimation of global sensitivity indices for models with dependent variables Comput. Phys. Commun., 183 (4) (2012), pp. 937-946.

ml-road icon ml-road

Machine Learning Resources, Practice and Research

optimal_risk_pools icon optimal_risk_pools

This repository contains the code to reproduce the analysis in : Ciullo et al. Increasing countries’ financial resilience through global catastrophe risk pooling

rdm-poriver-wrr-manuscript- icon rdm-poriver-wrr-manuscript-

This folder contains the data used in the analysis presented in the manuscript: A Robust Decision Making approach to the identification of flood protection measures under deep uncertainty exemplified on the Po River, Italy.

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