Elenco delle tesi del corso di laurea "Corso di laurea magistrale in Data Science And Engineering" nell'anno "2023"

A

Syed Ali Abbas. Machine Learning in 5G/6G Networks: Assessing Deep Neural Network Performance for Sustainable Mobile Communication. Rel. Carla Fabiana Chiasserini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Antonio Albanese. Deep Anomaly Detection: an experimental comparison of deep learning algorithms for anomaly detection in time series data. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Juan Manuel Aragon Armas. Approaching visual geo-localization through classification. Rel. Barbara Caputo, Carlo Masone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

B

Sebastiano Barresi. Lorentz-invariant augmentation for high-energy physics deep learning models. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Davide Bartoletti. Using computer vision for the automatic classification of building facades. Rel. Fabrizio Lamberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Hajali Bayramov. Application of Artificial Intelligence for Data-Driven Prognostic of Finding Remaining Useful Life in Filters. Rel. Danilo Giordano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Yhorman Alexander Bedoya Velez. Enhancing Structural Health Monitoring through Self-supervised learning: An application of Masked Autoencoders on Anomaly Detection and Traffic Load Estimation. Rel. Daniele Jahier Pagliari. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Luca Benfenati. Unsupervised and Self-Supervised Machine-Learning for Epilepsy Detection on EEG Data. Rel. Daniele Jahier Pagliari, Luca Benini, Andrea Cossettini, Alessio Burello, Thorir Mar Ingolfsson. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Erika Bosco. Real Time Anomaly Detection on Multivariate Time-Series. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Gabriele Bruno Franco. Insightfully: from ETL to analytics product to obtain actionable insights. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Domenico Bulfamante. Generative enterprise search with extensible knowledge base using AI. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

C

Pietro Cagnasso. Efficiency and Generalization in Federated Learning: Insights from Sharpness-Aware Minimization. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Giovanni Calleris. Structured Pruning for Efficient Convolutional Networks. Rel. Giuseppe Bruno Averta, Barbara Caputo, Fabio Cermelli, Claudia Cuttano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Francesco Capuano. OSCAR: Optimizing Architecture Search with Constraints-Aware Deep Reinforcement Learning. Rel. Barbara Caputo, Giuseppe Bruno Averta, Marcello Restelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Zifan Chen. Enhanced Correction and Multi Language Support of Transcription on the "Tell your story" Digital Platform. Rel. Luciano Lavagno, Gianpiero Cabodi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Pierluigi Compagnone. Autonomous Industrial Inspections with Spot by Boston Dynamics: Machine Learning and Computer Vision Techniques for Meter Reading. Rel. Tatiana Tommasi, Oscar Pistamiglio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Giuseppe Concialdi. Ainur: Enhancing Vocal Quality through Lyrics-Audio Embeddings in Multimodal Deep Music Generation. Rel. Elena Maria Baralis, Eliana Pastor, Alkis Koudounas. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Salvatore Junior Curello. Court judgment prediction and explanation based on Transformers. Rel. Luca Cagliero, Irene Benedetto. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

D

Karim Dandachi. Cloud-Based Data-Driven Predictive Maintenance of eLOP using Digital Twin Technology. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Carmine De Cristofaro. Leveraging Wikidata to highlight differences in topics and countries on Instagram Social Network. Rel. Luca Vassio, Martino Trevisan. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Vincenzo De Marco. A Comprehensive Overview of Fault Tolerance Techniques for Convolutional Deep Neural Networks. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Anna Di Lorenzo. Use of a multimodal Neural Network to investigate cultural and gender biases in affective stimuli of a novel facial expression database. Rel. Federica Marcolin, Luca Ulrich, Alberto Raposo, Daniel Mograbi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Davide Di Mauro. Unsupervised anomaly detection on multivariate timeseries in an Oracle database. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Michele Dicataldo. Data Mesh: a new paradigm shift to derive data-driven value. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

E

Giuseppe Esposito. Reliability Evaluation of Split Computing Neural Networks. Rel. Matteo Sonza Reorda, Juan David Guerrero Balaguera, Josie Esteban Rodriguez Condia. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

F

Daniele Falcetta. Analyzing Advanced Code Representations with Machine Learning. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Sofia Fanigliulo. Offer analysis and modelling in the automotive market. Rel. Paolo Garza, Vincenzo Iaia. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Umar Farooq. Cyber-physical security: AI methods for malware/cyber-attacks detection on embedded/IoT applications. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Elisa Feraud. IoT and Blockchain Integration for Optimizing Smart City Public Transport: A Feasibility Case Study. Rel. Danilo Bazzanella. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Andrea Ferretti. Distributed Arrow-based Shuffle Operation using Arrow Flight RPC. Rel. Paolo Garza, Andrea Fonti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Sara Ferrua. The “Delta” Case: New AWS Data Platform Implementation. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

William Forestiere. Reducing overinterpretation in deep neural networks through SIS-dependent Label Smoothing. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Salvatore Stefano Furnari. Associative Classification of Spatio-Temporal Data. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

G

Nelly Gaillard. EagleAI: Estimation of Attitude Geo-localizing Landmarks on Earth. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Stefano Galvagno. Explaining contrastive models for financial time series forecasting. Rel. Luca Cagliero, Jacopo Fior, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Aurora Gensale. Detecting and understanding food risk factors from social and news data. Rel. Luca Cagliero, Irene Benedetto. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Federico Germinario. Identification of hard-coded secrets in GitHub through NLP-based scanners. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Andrea Ghiglione. Artifacts Segmentation with Convolutional Neural Networks for smartphone camera Image Signal Processor. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Stefano Gioda. Sleep Stages Classification in Sleep Disorder Patients: Integrating Wearable and Contactless Commercial Devices. Rel. Gabriella Olmo, Robert Riener. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Gabriele Gioetto. Personal Data Detection in Free Text. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

H

Mudassar Hussain. CNC End e??ector tools wear SOH prediction: Big Data. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

K

Bardia Karimizandi. Real-time Monocular Collision Alert System for Enhancing Safety in Micromobility Transportation. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Faezeh Kazemihatami. Outlier detection from CAN bus signals transmitted by industrial vehicles. Rel. Francesco Vaccarino, Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

L

Gianluca La Malfa. Text generation through a GPT based GAN model. Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Gianvito Liturri. Temporal Co-location Pattern Discovery in Spatiotemporal Data through Parallel Computing. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

M

Beatrice Macchia. AI-powered Weed Identification in cultivated fields: an Object Detection approach. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Nicola Maddalozzo. Methods and Measures for bias detection in natural language processing: A study on word embeddings and masked models. Rel. Eliana Pastor, Laura Alonso Alemany. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Francesco Manca. Enhancing Online Advertising Key Performance Indicators Monitoring: A Cost-Effective and Automated Anomaly Detection Framework. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Giovanni Mantegna. Spatio-Temporal Graph Neural Networks for Wind Power Forecasting. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Virginia Marcante. Scaling Approximate Linear Programming: Langevin Based High-Dimensional Sampling for Constraint Violation Learning. Rel. Sandra Pieraccini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Luca Marcellino. Visual Transformers for Federated Learning: Exploring the Role of Architecture Layers in Generalization Enhancement. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Juan Jose Marquez Villacis. Interpreting the output of Transformer-based architectures for text summarization. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Ulysse, Pierre Marquis. Unraveling fundamental network features of complex urban transportation systems. Rel. Enrico Bibbona. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Angelica Marrone. Optimizing Product Development and Innovation Processes with Artificial Intelligence. Rel. Francesca Montagna, Gaetano Cascini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Tommaso Massaglia. DreamShot: Teaching Cinema Shots to Latent Diffusion Models. Rel. Tania Cerquitelli, Bartolomeo Vacchetti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Matteo Matteotti. Enhancing Football Scouting: Objective Characterisation of Players and Assessment of Transfer Impact through Machine Learning and Deep Learning. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Shannon Mc Mahon. Anomaly Detection and Notification in Google Analytics Data. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Matteo Merlo. Multitask segmentation from satellite imagery for burned area delineation and severity estimation. Rel. Paolo Garza, Edoardo Arnaudo, Luca Barco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Mohammadreza Mohammadi. AI-based Code Understanding using Large Language Models and a Conversational Chatbot. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Seyedmorteza Mollaei. Ottimizzazione automatizzata dei modelli DNN per il conteggio delle persone con sensori a infrarossi tramite NAS = Automated Optimization of DNN Models for People Counting with Infrared Sensors Using NAS. Rel. Daniele Jahier Pagliari, Alessio Burrello, Chen Xie, Francesco Daghero, Matteo Risso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Christian Montecchiani. Enhancing Myocontrol of the Hannes Prosthetic Hand with Continual Learning to Tackle Data Distribution Shift. Rel. Raffaello Camoriano, Dario Di Domenico. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Alberto Morcavallo. A Fair-Generative approach for Customer Relationship Management. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Sara Moreno. Transformers-based Abstractive Summarization for the Generation of Patent Claims. Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Mohamad Mostafa. Re-ranking methods for visual geo-localization with domain shift. Rel. Barbara Caputo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Amri Myftija. Anomaly detection from vehicle data. Rel. Luca Cagliero, Francesco Vaccarino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

N

Ionut Cosmin Nedescu. A Comparative Analysis of Machine Learning and Deep Learning Techniques for Component Fault Prediction. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Hadi Nejabat. Fine-grained Named Entity Recognition using Ontology-Guided Knowledge Graphs. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

O

Mustafa Omer Mohammed Elamin Elshaigi. Adaptive Deep Neural Networks for Human Pose Estimation on Autonomous Nano-Drones. Rel. Daniele Jahier Pagliari. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Nicola Orecchini. Design and Implementation of a Data Governance Framework for Italian Banks. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

P

Francesca Paoletti. Automating Payroll Paper Generation in the Healthcare Industry: A Technical Solution for Hublo’s Customer Plants. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Simone Papicchio. Maximizing the Voice of the Customer with NLP: A Tool to detect Insights with Sentiment Analysis and Named Entity Recognition. Rel. Paolo Garza, Maria A. Zuluaga. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Andrea Parolin. Large Language Models for Code Generation: A Comparative Analysis and Practical Applications in the Corporate Context. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Alessandro Emmanuel Pecora. Data Driven: AI Voice Cloning. Rel. Luca Cagliero, Moreno La Quatra, Lorenzo Vaiani. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Vittorio Pellegrini. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Federico Lorenzo Pes. Analysis of semi-structured data based on Named Entity Recognition and Computer Vision techniques. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Eleonora Poeta. Zero-Cost Proxies in Neural Architecture Search: A Comprehensive Study and Design of a novel hybrid proxy. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Riccardo Prestigiacomo. ADVANCEMENTS IN TOPIC MODELING TECHNIQUES: A COMPREHENSIVE STUDY ON ALGORITHM COMPARISON, AND NOVEL METRICS FOR OUTCOME EVALUATION, USING SOCIAL MEDIA DATA. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Q

Tianming Qu. A Multimodal Encoder of Music and Image for Valence Arousal Prediction. Rel. Giuseppe Rizzo, Luca Barco, Angelica Urbanelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

R

Niccolo' Revel Garrone. Information Retrieval from PDF of companies, calculation of the " Intensity" metric to assess emission. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Riccardo Giuseppe Ricevuto. Using ML techniques to build systems support in the industrial processes. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Gabriele Rosi. Towards universal lightweight models for image segmentation. Rel. Giuseppe Bruno Averta, Fabio Cermelli, Barbara Caputo, Antonio Tavera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Andrea Rubeis. Trustworthy AI Framework applied to a predictive Machine Learning model for Acute Kidney Injury. Rel. Valentina Alice Cauda, Andrea Ancona. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

S

Abdul Hadi Saeed. Extraction and identification of information from Mass Spectra of the breath of patients infected with SARS-CoV-2. Rel. Giovanni Squillero, Riccardo Cantoro, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Chiara Scagliola. Inference of Refrigerant Quantity in Car HVAC Systems: A Predictive Model for Leak Detection. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Alessia Scandaliato. Treatements structuring for critical care management with application to persistent Acute Kidney Injury. Rel. Valentina Alice Cauda. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Nicola Scarano. Boundary Conditions for Human Gaze Estimation on A Social Robot: Evaluation of the State-of-the-Art Models and Implementation of Joint Attention Mechanism. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Lorenzo Scarciglia. Visual Servoing for Autonomous Nano-drones Racing. Rel. Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello, Matteo Risso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Giovanni Sciortino. Vision Graph Neural Networks for Remote Sensing. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Muhammad Furqan Siddiqui. Machine learning techniques for microwave food contamination detection. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez, Marco Ricci. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Valeria Sorrenti. Image Classification in the Browser: a performance assessment. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Giuseppe Suriano. Vehicle sensors data analysis for detection of driver styles in braking maneuvers. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

T

Fabio Tatti. An emotional coherence analysis with a multimodal Neural Network. A study based on a novel affective database of facial expression. Rel. Federica Marcolin, Luca Ulrich, Alberto Raposo, Daniel Mograbi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Arsene Bolivar Tenkamte Kengne. Applicazione di reti neurali e deep learning per la previsione di impianti fotovoltaici. Rel. Edoardo Patti, Alessandro Aliberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Cristina Tortia. Data-Driven Insights and Predictive Analytics in Manufacturing: Machine Learning for Industry 4.0. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Leonardo Tredese. Structured Pruning of Vision Transformers at Training Time. Rel. Daniele Jahier Pagliari, Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

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Alessio Vacca. Design and implementation of a Business Intelligence pipeline for Poste Italiane. Rel. Eliana Pastor. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Solmaz Verdiyeva. Examining the impact of COVID-19 on financial stress and business financing decisions: A data-driven analysis. = Examining the Impact of COVID-19 on Financial Stress and Business Financing Decisions: A Data-driven Analysis. Rel. Riccardo Calcagno. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Nicolo Vergaro. Evaluation of the effectiveness of adopting MLops practices in an industrial context, the problem of concept drift and conformity with the new AI Act. Rel. Antonio Vetro'. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Michele Veronesi. Innovating Talent Acquisition in the Tourism Industry: a New Digital Platform. Rel. Marco Cantamessa, Luigi De Russis. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Fabiana Vinci. Inclusive representation for Face Recognition analysis: an empirical investigation on critical issues and uncovered opportunities. Rel. Antonio Vetro', Juan Carlos De Martin. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

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Giulio Zabotto. Detection of Anomalous contracts of the Italian Public Administration. Rel. Antonio Vetro', Davide Allavena. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Jiahao Zhang. Anomaly detection on vehicle data: models and explainability. Rel. Luca Cagliero, Francesco Vaccarino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023

Valerio Zingarelli. GAN-based Inpainting Techniques for Breast Lesions in Mammograms. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023