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Orazio Pontorno's Projects

block-based_deepfake-detection icon block-based_deepfake-detection

Official implementation of the paper ``DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images'', accepted for publication at the ICPR 2024 conference.

city-election-prediction icon city-election-prediction

Final project for the university course 'Behavioral Economics', held in the academic year 2021/2022.The model seeks to emulate the election campaign of three mayoral candidates in a municipality. Voting citizens, taken as rational individuals, will have to choose their preference, represented by the maximization of a linear utility function.

classifying-butterfly-species-in-matlab icon classifying-butterfly-species-in-matlab

Final project for the university course 'Neural Computing', held in the academic year 2022/2023.The purpose of this work is to build an architecture of a neural network that can learn to correctly recognize and classify the family to which a butterfly belongs. To do this, we will train the network using the dataset '*Butterfly & Moths

deeplearning_course icon deeplearning_course

This directory contains the exercises assigned and solved for the Deep Learning university course, yield in academic year 2022/2023.

hybrid-quantum-neural-network-for-binary-classification icon hybrid-quantum-neural-network-for-binary-classification

Final project for the university course 'Quantum Computer Programming', held in the academic year 2022/2023. The purpose of this project is to investigate the structure of a hybrid neural network. To do this, I made use of the 'qiskit' library, which allows useful tools for constructing a classical-quantum neural network.

predictive-maintenance-in-r icon predictive-maintenance-in-r

Final project for the university course 'Statistical Learning', held in the academic year 2021/2022.The purpose of the project is to build a classification model using the ’Predictive maintenance’ dataset. The classifier will have to be able to predict if a machine has no failure and therefore no maintenance is needed or not.

traffic-lights-recognition icon traffic-lights-recognition

Final project for the postgraduate course 'School in AI: Deep learning, Vision and Language for industry', held in the year 2022.The basic idea of this project is to build a model emulating the behaviour of an autonomous driving car in the management of the action to be taken upon recognition of a traffic light.

water-potability-prediction-in-python icon water-potability-prediction-in-python

Final project for the university course 'Advanced Machine Learning', held in the academic year 2022/2023.The objective of this project is to analyze and study, through the use of supervised and non-supervised machine learning methods, the potability of water from data in the 'drinking water potability' dataset.

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