Elenco delle tesi del corso di laurea "Corso di laurea magistrale in Data Science And Engineering" nell'anno "2025"

Tesi

Afsoun Abbasi. AI algorithms applied to the Energy Center plant data to determine the thermal consumption of the structure. Validation of the algorithms on real consumption data. Rel. Davide Papurello. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Shaghayegh Abedi. Integrating DMN and LLM for Automated Student Feedback and Support. Rel. Paolo Garza, Amin Jalali. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Homayoun Afshari. Neuro-Symbolic Artificial for Visual Reasoning via Dynamic Logic Tensor Networks. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Nastaran Ahmadi Bonakdar. Epigenetic Mechanisms in the Development of Neoplasms. Rel. Alfredo Benso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Fatemeh Ahmadvand. Efficacia del rilevamento e della caratterizzazione delle anomalie utilizzando algoritmi corticali nei dati di serie temporali = Efficacy of Detecting and Characterizing Anomalies Using Cortical Algorithms in Time Series Data. Rel. Paolo Garza, Pulin Agrawal. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ali Al Housseini. Efficient Service Provisioning in the Musical Metaverse Using a Custom Network Simulator. Rel. Cristina Emma Margherita Rottondi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Olloshukur Atadjanov. Machine Learning for money laundering detection. Rel. Alessio Sacco, Akmal Rustamov, Guido Marchetto. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Thomas, Georges, Valentin Avare. Use of Artificial Intelligence Techniques to Improve the User Experience With Waste Recycling. Rel. Bartolomeo Montrucchio, Moreno La Quatra, Antonio Costantino Marceddu. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Fabrizio Battiloro. Assessing VQA Model Reliability Through Systematic Evaluation of Corrupted Question Handling. Rel. Luca Cagliero, Davide Napolitano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Nicola Bavaro. Machine Learning Approaches for Estimating Wildfire Propagation. Rel. Paolo Garza, Luca Barco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Erfan Bayat. Adversarial RAG-based approach to counter-narrative generation. Rel. Luca Cagliero, Aurora Gensale. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Arman Behkish. Multivariate Anomaly Detection Using Frequent Itemset Mining. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Sevde Bekdik. Dyna ML - A Machine Learning Approach to Sales Forecasting and Product Recommendations. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Mihaita Andrei Boboc. Optimizing ETL Processes: automation for SSIS Packages. Rel. Alessandro Fiori. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Giulia Bonino. Feature aware image sampling for CNN-based image quality enhancement algorithms. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Pablo Borrelli. Modernising Service Assurance: Data migration from a legacy system to the cloud. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Nicola Candellieri. Development of an Integrated Alert System for Earthquake Parametric Insurance. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Elisa Cascina. Data-Driven Optimization of Vehicle Systems Enabled by a Centralized CAN Protocol Management. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Andrea Caselli. Siamese Neural Networks for Player Re-identification in Basketball: TwinPlay.ai Approach. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Marco Castiglia. Enhancing User-Database Interaction Through a User-Friendly Platform Leveraging LLMs. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Giuseppe Cavaleri. An on-edge Machine Learning model to estimate State-of-Health in Electric Vehicle Batteries. Rel. Edoardo Patti, Alessandro Aliberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Neralb Cika. Refining AI-Generated Messaging with Prompt Engineering: Human Evaluation, Iterative Improvement, and Adversarial Privacy Testing on Employee and Company Data. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Emanuele De Leo. Depth Estimation from technical drawings and 3D Mesh Reconstruction with Deep Learning. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Davide Elio Stefano Demicheli. Real-Time Object Detection and Gaze Tracking for Automated Pilot Monitoring. Rel. Tatiana Tommasi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Arda Eren Dogru. Encoder-Only Multi-Task Learning. Rel. Carlo Masone, Fabio Cermelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Mohammad Hossein Ehteshami. Enhancing 3D Object Detecting for Autonomous Vehicle: Simulation-Based Lidar Data Generatio. Rel. Lorenzo Bottaccioli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Daniele Ercole. AI Agents Leveraging RAG and MCP for Insurance Knowledge Management and Enterprise Workflow Automation. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Francesco Fasano. Hybrid Architecture for Recommendation Systems: Fusion of Association Rules and Latent Semantics in a B2B Context. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Davide Fassio. Relocalization of Autonomous Agents Using Monocular Depth Estimation on PTZ Cameras. Rel. Giorgio Guglieri, Alessandro Minervini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Alessandro Maria Feri'. Combining Chronos forecasting with Discord-based Anomaly Detection. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Chiara Ferro. Development of an agentic AI for processing electronic health records for stroke rehabilitation. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Alessandro Ficca. AI-Driven Feature Detection, Matching, and Efficient Model Deployment for Space applications. Rel. Daniele Jahier Pagliari, Alessio Burrello. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Abdollah Foroutan. Artificial Intelligence Techniques in Predictive and Proactive Analysis for Vehicles. Rel. Francesco Vaccarino, Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Federico Fortunati. Automating Weekly Business Review Metrics on AWS with Amazon Redshift and Amazon QuickSight. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Barbara Frittella. Explainability-Driven Deep Learning for Predicting Biological Invasiveness in Plant Species. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Guillermo Jose' Gallucci. Adaptation and Implementation of an automated Corporate ETL Framework on Microsoft Fabric: A Technical Approach to Integrating Data Workflows into a Modern Cloud Platform. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Lorenzo Gargasole. Machine Learning for Geospatial Sales Potential Estimation. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Raul Gatto. Explainable AI for Speech Data: From words to phoneme. Rel. Eliana Pastor, Alkis Koudounas. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Francesca Geusa. Design and Automation of a Modular ETL Workflow Using Workato: A Practical Approach to Scalable and Reusable Data Pipelines. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ali Ghanbari Mazidi. Development of a User-Centric Digital Menu with Adaptive Personalization System. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Enrico Giacalone. AI-Powered Autonomous Industrial Monitoring: Integrating Robotics, Computer Vision, and Generative AI. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Gioele Giachino. Analysis of the impact of language and context in prompts on synthetic data generation with Large Language models. Rel. Antonio Vetro', Marco Rondina. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Francesco Giacometti. Adaptivity of Markovian and History-Based Reinforcement Learning Policies in Environments with Latent Dynamic Parameters. Rel. Giuseppe Bruno Averta, Gabriele Tiboni. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Kuerxi Gulisidan. 3D Multi-Input Deep Learning for Brain Lesion Classification: Attention-Based Analysis of Stable vs. Recurrent Lesions. Rel. Santa Di Cataldo, Francesco Ponzio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Shaoyong Guo. Interpreting Breast Mammograms with Incomplete Lesion Labels Using Logic Tensor Networks. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Mahdi Hasanzadeh. Decoding Dreams and Thoughts using AI Sentiment Analysis. Rel. Valeria Chiado' Piat, Vito De Feo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Xiao Huan. Structural-Semantic Dynamic Graph Learning for Document Visual QA. Rel. Luca Cagliero, Lorenzo Vaiani, Davide Napolitano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Hadi Ibrahim. A CycleGAN Approach to Text Style Transfer: Handling Mixed-Style and Multi-Style Text Transfer. Rel. Luca Cagliero, Giuseppe Gallipoli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Tijana Ilievska. Cloud-Based Architecture for Italian Sign Language Translation with Fine-Tuned LLMs for LIS-to-Italian Conversion. Rel. Maurizio Morisio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Hesam Khanjani Kakroodi. Anomaly detection in manufacturing line. Rel. Santa Di Cataldo, Alessio Mascolini, Francesco Ponzio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Hossein Khodadadi. Machine Learning Based Natural Language Querying of Automotive Data. Rel. Paolo Garza, Gabriele Nicosanti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Hossein Khorrami Sarvestani. A Machine Learning and Explainable AI Approach to Evaluating Environmental Sensors on Workplace Productivity. Case Study: Eurix Company. Rel. Davide Papurello. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Shiva Khoshhal Doost. Approcci di Deep Learning per la Previsione della Produzione Fotovoltaica = Deep Learning Approaches for Photovoltaic Power Forecasting. Rel. Edoardo Patti, Marco Castangia, Raimondo Gallo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Francesco Lacriola. Analytics Ingestion Service: a data ingestion pipeline for MLOps. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Qingqing Liu. Exploring Deep Learning Techniques to Improve Voice Disorder Diagnoses. Rel. Tania Cerquitelli, Gabriele Ciravegna, Alkis Koudounas. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Alessia Manni. Creation of Synthetic Datasets using Generative AI for Implementing Vehicle Access Systems based on Face and Gait Recognition. Rel. Fabrizio Lamberti, Federico Boscolo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Daniele Mansillo. Multimodal RAG for Slide Presentations with Synthetic Data Generation and Anonymization. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Carlo Marra. Slimmable and Early Exit Neural Networks for Object Detection on Nano-Drones. Rel. Daniele Jahier Pagliari, Alessio Burrello, Beatrice Alessandra Motetti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Martina Martini. AI Multi-Agents Systems in support of Evidence-Based Medicine. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Tina Mohammadlavasani. From Data to Decisions: Enhancing Monthly Profit Predictions through XGBoost. Rel. Alessandro Savino, Roberta Bardini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Leonardo Moraglia. Exploring incrementality in data subgroups for speech models. Rel. Eliana Pastor, Alkis Koudounas. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Iman Morovatian. Mitigating the Modality Gap in Vision-Language Pre-Trained Models. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ali Mousazadeh. Implementing a neural network solution for predicting estimated time of arrival. Rel. Danilo Giordano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Domenico Muscillo. Metadata classification via affordable NLP. Rel. Giovanni Squillero, Francesco Zucaro. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Mahdi Naderibeni. AI for Intrusion Detection: Clustering Unknown Traffic and Payload Analysis. Rel. Luca Vassio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Tito Ndjekoua Nzeumi. Energy Consumption Prediction. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Minh Triet Ngo. Bilevel Stochastic Optimization in Decentralized Assemble-To-Order Supply Chain. Rel. Edoardo Fadda. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ricardo Nicida Kazama. Developing a Lightweight Real-world Sign Language Recognition Model Using Hand Energy Image. Rel. Sarah Azimi, Corrado De Sio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Gustavo Nicoletti Rosa. Heuristic Algorithm for Predicting Alternatively Spliced mRNAs with Pre-Trained LLM in Cancer. Rel. Stefano Di Carlo, Roberta Bardini, Alessandro Savino, Matteo Cereda, Lorenzo Martini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Romuald Albert Noubissi. Behavioral Analysis in Immersive Environments. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Michele Pantaleo. GETALP-MISTRAL7B: A Clinical Large Language Model For Automated Discharge Documentation From Electronic Health Records. Rel. Gabriella Olmo, Didier Schwab, Lorraine Goeuriot. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Andrea Pellegrino. Inglese. Rel. Giuseppe Bruno Averta. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Giuseppe Priolo. Shapelet Extraction Using Visibility Graphs. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Baharak Qaderi. Un modello di apprendimento profondo end-to-end per la classificazione automatica degli stadi del sonno utilizzando segnali fisiologici minimi = An End-to-End Deep Learning Model for Automatic Sleep Stage Classification Using Minimal Physiological Signals. Rel. Luigi Borzi', Irene Rechichi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Eleonora Quaranta. Emotion-based Multimodal Music Classifier for Recommender Systems. Rel. Alessandro Aliberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Mohammadsadegh Radmehr. AI testing for second life batteries. Rel. Massimiliana Carello, Simone Pennavaria. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Paolo Riotino. Deep Learning for Binary Post-Earthquake Building Damage Detection from Multi-Temporal VHR Imagery. Rel. Andrea Bottino, Lorenzo Innocenti, Jacopo Lungo Vaschetti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Paolo Rizzo. Model-Free Multi-Agent Reinforcement Learning Approach in NeurIPS LuxAI S3 Competition. Rel. Daniele Apiletti, Simone Monaco, Daniele Rege Cambrin. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Sara Rosato. Enhancing Anomaly Detection in Semiconductor Manufacturing Using Advanced Deep Learning Techniques. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Shahin Saeidpour. Previsione multivariata delle serie temporali con LSTM e XGBOOST per la previsione della qualita' dell'aria = Multivariate Time Series Forecasting Using LSTM and XGBoost for Air Quality Prediction. Rel. Davide Papurello. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Gabriele Sanmartino. Automated Quality Assurance with Multi-modal Large Language Models. Rel. Luca Cagliero, Paolo Papotti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Michela Lucia Saraceno. Split Point Selection in Privacy-Preserving Split Inference with Fully Homomorphic Encryption: A Performance Assessment. Rel. Valentino Peluso, Daniele Jahier Pagliari, Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Bilal Shabbir. Deep learning models for brand analysis in visual imagery. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Lorenzo Sibille. Understanding the needs of Image Retrieval for Visual Localization. Rel. Carlo Masone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ahmad Sidani. Visual Context Meets Translation: A CycleGAN Approach to Multimodal Neural Machine Translation. Rel. Luca Cagliero, Giuseppe Gallipoli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Suyash Singh. Automated Functional Testing of Brushless Electric Fans in Vehicle Applications: A Data-Driven Approach. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Alejandra Solarte Uscategui. Monocular MapTR: A Depth-Aware Approach to HD-Map Extraction from a Single Camera. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Bruno Spaccavento. Improving financial Question Answering via Generative Artificial Intelligence and embedding optimisation. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Guido Spina. XAI tools to predict biological invasiveness: a case study in plants. Rel. Daniele Apiletti, Simone Monaco. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Lorenzo Suppa. Exploring Feature-Based and Data-Driven Techniques for Quality Control in Brain Vessel Segmentation. Rel. Luigi Borzi', Maria A. Zuluaga. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Babelle Tchoumi Yomi. Development and Orchestration of a Scalable and Efficient Automated Data Ingestion Workflows and Pipelines for Multi-Domain at MSC Technology Italia. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ivan Ludvig Tereshko. Langevin Particle Swarm Optimization with Friction-Based Communication. Rel. Luigi Preziosi, Marco Scianna. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Pablo Torasso. Optimizing Image Retrieval for Robust Visual Localization. Rel. Carlo Masone, Gabriele Trivigno, Gabriele Moreno Berton. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Alessandro Turrin. Online model selection for LLMs with limited annotations. Rel. Giovanni Squillero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Harsh Lalitbhai Vasoya. Automating the Extraction of Professional Links from Law Firm Websites. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Edoardo Venturini. Dynamic Basket Recommendations in a Changing Market through an AI and similarity-based approach. Rel. Paolo Garza, Vincenzo Iaia. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Wiktoria Woronko. Detection and Mitigation of Issues in Video Summarization Using Video Large Language Models. Rel. Luca Cagliero, Lorenzo Vaiani. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Fatemeh Zahiri Koupaei. Efficiency-Optimized PatchCore for Anomaly Detection in Future Edge Deployment. Rel. Andrea Bottino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Riccardo Zanchetta. 3D Bin Packing: a new Heuristic approach for real case scenario. Rel. Federico Della Croce Di Dojola. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Benyamin Zarei. AI-Driven Web Scraping: Designing and Optimizing a Data Extraction Tool for the U.S. Legal Sector. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Ilaria Zerbini. A Nearest Neighbors Gaussian Process Approach to Modeling Customer Electricity Consumption Profiles. Rel. Enrico Bibbona, Gianluca Mastrantonio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025

Xiyang Zu. Cross-Domain Multimodal Emotion Recognition with Progressive Fusion and Conservative Domain Adaptation. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025