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Tesi

Dario Avalle. Machine Learning Model Online Deployment in Azure. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Lorenzo Bergadano. From Quantum Quirks to Clear Skies: A Not-So-Dusty Road to Sensor Calibration. Rel. Bartolomeo Montrucchio, Edoardo Giusto, Pietro Chiavassa. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Matteo Berta. Towards a Gender Inclusive Neural Network for Automatic Gender Recognition. Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Allan Brunstein. Automatic web crawler for malicious websites classification. Rel. Marco Mellia, Rodolfo Vieira Valentim, Idilio Drago. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Alessandro Casella. Convolutional Autoencoder for Unsupervised Defect Detection in Brake Calipers. Rel. Vincenzo Randazzo, Eros Gian Alessandro Pasero, Marco Porrati, Edoardo Pareti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Ivan Dario Contreras Perez. Large Language Models for Ambiguity Detection and Resolution in Smart Homes. Rel. Luigi De Russis, Tommaso Calo'. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Marco Fabio De Souza Coelho. Efficiency improvement of Amazon’s logistic services using outline and simulation tools. Rel. Guido Perboli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Giuseppe Desiderio. A Logic Tensor Network for Breast Cancer Detection in Mammography. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Elena Di Felice. Computational Biases of Foundation Models for Speech Emotion Recognition: A Quantitative Analysis. Rel. Giuseppe Rizzo, Federico D'Asaro. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Niccolo' Dimonte. Centralized Monitoring Infrastructure on Cloud: An Open Source Approach. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Umberto Fontana. Detection of Suspicious Behavior, through Machine Learning, on the applicative layer and data records. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Arcangelo Frigiola. Supervised Contrastive Learning for Classification of Market Stock Series. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Matteo Garbarino. A Modern Solution for Big Data Management: the Data Lake. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Giulia Gemesio. Comparative Analysis of Project Management Approaches: Fink's Case Studies and Critical Success Factors in Literature. Rel. Alberto De Marco, Filippo Maria Ottaviani. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Francesca Mangone. Autonomous Vehicle Integration: Pedestrian Behaviour Prediction. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Edoardo Marchetti. 3DYogaSeg: A New Dataset and Benchmark for Skeleton-Based Action Recognition and Segmentation in yoga videos. Rel. Giuseppe Bruno Averta, Chiara Plizzari. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Lorenzo Melchionna. Unsupervised Multivariate Time Series Segmentation: Driving Scene Identification Use Case. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Domenico Mereu. MARE-Graph: Multimodal Action Recognition in Egocentric video with Graph Neural Network. Rel. Giuseppe Bruno Averta, Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Amirshayan Nasirimajd. Sequential Domain Generalisation for Egocentric Action Recognition. Rel. Giuseppe Bruno Averta, Chiara Plizzari, Simone Alberto Peirone, Marco Ciccone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Shadi Nikneshan. AUTOMATED DATA ANALYSIS AND FUSION APPROACH FOR AUTONOMOUS VEHICLES IN MIXED URBAN TRAFFIC. Rel. Silvia Anna Chiusano, Brunella Roberta Daniela Caroleo, Andrea Avignone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Michele Pacifico. Principles of Quantum Reinforcement Learning. Rel. Davide Girolami. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Dario Padovano. SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Giovanni Poggio. Design and Development of a Multi-Agent System Environment to Monitor and Analyze Data Originating from Automated Test Equipment. Rel. Giovanni Squillero, Matteo Sonza Reorda. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Enrico Porcelli. Evaluation of the impact of the Multi-Head Attention algorithm in Music Source Separation. Rel. Eliana Pastor, Moreno La Quatra, Alkis Koudounas. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Oumaima Regragui. Auditing online software for bias: A controlled experiment in the domain of car insurance. Rel. Antonio Vetro', Riccardo Coppola. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Micol Rosini. Unveiling Cognitive Decline and Sleep: Deep Learning for Alzheimer's Detection and Latent Representations' Exploration for Pattern-Specific Discovery. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Marco Sorbi. Automated unit test creation based on Artificial Intelligence. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Gabriele Mario Antonio Spina. Automatic grouping of actions in user flow analytics. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Fabio Tecco. Automatic detection of suspicious websites based on community detection algorithms in multi-graph context. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Chiara Van Der Putten. Transforming Data Flow: Generative AI in ETL Pipeline Automatization. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Luca Viada. Machine and Deep Learning for Disease Mapping. Rel. Daniele Jahier Pagliari, Paola Berchialla. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024