Elenco delle tesi del corso di laurea "Corso di laurea magistrale in Data Science And Engineering" nell'anno "2022"

Andrea Adrignola. Dynamic identification of risk thresholds for balance measures in machine learning. Rel. Antonio Vetro', Mariachiara Mecati. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Mirakram Aghalarov. Deep Learning in Mars Exploration/Navigation: Rover Multi-Task Learning and Drone Semantic Segmentation on Synthetic and Real Datasets with Domain Adaptation Techniques. Rel. Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Jordan Derlich Akafak Sokeng. Rilevamento e tracciamenti di oggetti: analisi e progettazione di casi d'uso industriale = Object detection and tracking: analysis and design of industrial use cases. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giulio Alfarano. Detecting fake news using Natural Language Processing. Rel. Elena Maria Baralis, Rapahel Troncy. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Michele Apicella. An end-to-end Data Engineering Architecture in the energy domain. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Andrea Arcidiacono. Efficent Transformer attentions in time series forecasting. Rel. Francesco Vaccarino, Rosalia Tatano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Sara Armenia. Product Alert System: identify and respond to fast and slow mover items in luxury retail. Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesca Avidano. Machine Learning techniques. Clustering and Classification: a project with Banca di Asti. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Riccardo Baldassa. Development of a mobile application to explore financial options strategies. Rel. Alessandro Fiori. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Michelangelo Barulli. Predicting persistent acute kidney injury in ICU patients. Rel. Valentina Alice Cauda. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Jacopo Bernaudo. Business Intelligence systems. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Ruben Berteletti. Evaluating Algorithmic Optimization Strategies for Training CNNs Under Resource Constraints. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Sara Bodo. Implementation of an AI-based monitoring system to proactively identify and analyze performances decay of AI models. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Filippo Boni. Lithium-ion Battery Diagnostic and State of Health Estimation for Electric Vehicles Applications. Rel. Edoardo Patti, Alessandro Aliberti, Lorenzo Bottaccioli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Riccardo Bosio. Neural Networks hardware-specific optimization using different frameworks. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Matteo Bunino. Reinforcement Learning per l'Analisi Dinamica di Malware Evasivo = Reinforcement Learning-aided Dynamic Analysis of Evasive Malware. Rel. Francesco Vaccarino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Davide Bussone. Mining user behaviours from taxi rides and location based social networks using machine learning techniques. Rel. Silvia Anna Chiusano, Elena Daraio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Fabio Caffaro. Hierarchical Dense Knowledge Retrieval for Knowledge-enhanced Conversational Agents. Rel. Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Paolo Calderaro. Patient simulation. Generation of a machine learning “inverse” digital twin. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Luca Campana. Machine Learning and Deep Learning techniques for dress product recommendation, dynamic pricing and counterfeit detection. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Christian Cancedda. DA-PanopticFPN: a panoptic segmentation model to bridge the gap between simulated and real autonomous driving perception data =. Rel. Nicola Amati, Massimiliano Gobbi, Carla Fabiana Chiasserini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Eleonora Carletti. Fiber Fault Predictions in OTN Networks. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giovanni Cioffi. Hybrid Movie Recommender System using NLP techniques for items' features generation. Rel. Elena Maria Baralis. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Andrea Cognolato. Learning nonparametric individualized treatment response curves. Rel. Mauro Gasparini. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Filippo Cortese. Offline Reinforcement Learning for Smart HVAC Optimal Control. Rel. Francesco Vaccarino, Luca Sorrentino. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Gabriele Cuni. Deploying Deep Learning on FPGA: an assessment of ConvNets performance on Xilinx Zynq MPSoC using Vitis-AI development platform. Rel. Andrea Calimera, Roberto Giorgio Rizzo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Claudia Cuttano. Enabling Unsupervised Domain Adaptation in Semantic Segmentation from Deep to Lightweight Model. Rel. Barbara Caputo, Antonio Tavera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesco De Santis. Data driven study for optimization of industrial production. Rel. Danilo Giordano, Elena Maria Baralis, Marco Mellia. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Carmine De Stefano. Deep Learning approaches for prediction of Hepatocellular Carcinoma Recurrence post Liver Transplantation. Rel. Alfredo Benso, Quirino Lai, Gianfranco Michele Maria Politano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Antonio Dimitris Defonte. Synthetic-to-Real Domain Transfer with Joint Image Translation and Discriminative Learning for Pedestrian Re-Identification. Rel. Barbara Caputo, Mirko Zaffaroni. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Gabriele Degola. Approaches for Domain Adaptive Object Detection in Production Environments. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Mattia Delleani. Structured latent embeddings for generating and reposing DXA images. Rel. Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesco Di Salvo. Deep learning for breast cancer diagnosis in contrast-enhanced breast CT. Rel. Filippo Molinari. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Luca Dibattista. Deep Learning Inference of Personalized Air Quality Index. Rel. Edoardo Patti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Lucrezia Dimatera. Development of a portable predictive model for the real-time estimation of Pulmonary Ventilation. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Fabio Eterno. Differentiable Neural Architecture Search Algorithms for TinyML benchmarks. Rel. Daniele Jahier Pagliari, Alessio Burrello, Matteo Risso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Edoardo Fantolino. Evaluation of Active Learning for Anomaly Detection in Images. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Emanuele Fasce. Defect detection in manufacturing quality control using Faster R-CNN. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Paolo Fiorio Pla. Micro Influencer Classifier: an academic and economic approach. Rel. Luca Ardito, Simone Leonardi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Laura Gabriele. Machine Learning for Network Supervision and Fault Prediction in telecommunication infrastructures. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giuseppe Gallipoli. Text Style Transfer: a Cycle-Consistent Adversarial Approach. Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giacomo Garrone. Transformer based stochastic approach to pedestrian trajectory forecasting. Rel. Lia Morra, Simone Luetto. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Antonino Geraci. Modeling the background in Incremental Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel, Marcello Restelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Hafez Ghaemi. Decentralized Value-Based Reinforcement Learning in Stochastic Potential Games. Rel. Fabio Fagnani, Giacomo Como. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Daniele Giannuzzi. To ask or to abstain, what is the best strategy? Finding the best trade-off between: Active Learning and Learning to Reject. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Enrico Alfonso Girardi. Automatic slide generation from scientific papers based on multimodal learning. Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesco Guardamagna. convolutional neural networks for statistical post-processing of wind gusts speed. Rel. Roberto Fontana, Elisa Perrone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Pedro Antonio Hernandez Zamarron. Data Selection via Semantic Similarity for Resource-Efficient Transfer Learning of Image Classifiers. Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Valentin Nelu Ifrim. Study of a Cross-Platform Solution for Applied Federated Learning. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Farzad Imanpour Sardroudi. Leather Defect Classification and Segmentation using Self-supervised Learning. Rel. Daniele Apiletti, Davide Tricarico. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Lucia Innocenti. Audio-Visual Human Activity Recognition for Humanoid Robotics. Rel. Barbara Caputo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Armando La Rocca. Super Resolution on Sentinel-2 RGB images using Deep Learning algorithms. Rel. Elena Maria Baralis, Lorenzo Feruglio, Luca Manca, Mattia Varile. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Edoardo Lardizzone. Gpu accelerated ETL processes: a faster way to deal with big data. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Linda Ludovisi. Learning Task Oriented Grasp for objects of common use. Rel. Barbara Caputo, Giuseppe Bruno Averta, Fabio Cermelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesco Mangia. Financial data analysis by means of Reinforcement Learning techniques. Rel. Luca Cagliero, Jacopo Fior. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Vincenzo Marciano'. Machine Learning and Deep Learning models to discern indoor from outdoor environments based on data recorded by a tri-axial digital magnetic sensor. Rel. Andrea Cereatti, Stefano Bertuletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Daniela Martorana. Mining user reviews on public transport systems using machine learning techniques. Rel. Silvia Anna Chiusano, Luca Cagliero, Elena Daraio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Davide Emanuele Miceli. Image Recognition Benchmark with Different Embedded Solutions: Google TPU, RockChip NPU, NVIDIA GPU. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Tommaso Monopoli. A novel procedure for real-time SOH estimation of EV battery packs based on Time Series Extrinsic Regression. Rel. Edoardo Patti, Alessandro Aliberti, Raimondo Gallo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Beatrice Alessandra Motetti. Variational Auto-Encoder for Generalization in Visual Perception for Abstract Reasoning. Rel. Daniele Jahier Pagliari, Abbas Rahimi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Mauro Musarra. Relaxing the Forget Constraints in Open World Recognition. Rel. Barbara Caputo, Dario Fontanel, Fabio Cermelli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Davide Napolitano. Log Analysis: Topic Modeling applications on fine-features data processing system. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Alessandro Nicolini. An automated method for image classification by selecting important regions applied to a high-resolution meteor imagery dataset: a path to real-time meteor classification. Rel. Elena Maria Baralis, Andrea Novati, Daniele Gardiol. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Nicola Occelli. Benchmarking Self Supervised Representation Learning methods on Biological Datasets. Rel. Paolo Garza, Elisa Ficarra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Lorenzo Ottino. Associative spatio-temporal classification: a scalable spatio-temporal classifier. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Alessandro Palladini. Streamline machine learning projects to production using cutting-edge MLOps best practices on AWS. Rel. Daniele Apiletti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Vito Palmisano. Responsible Artificial Intelligence for Critical Decision-Making Support: A Healthcare Scenario. Rel. Elena Maria Baralis. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Michele Panariello. Low-complexity neural networks for robust acoustic scene classification in wearable audio devices. Rel. Antonio Servetti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Carlo Peluso. Temporal Summarization: a Transformer-Based Approach. Rel. Luca Cagliero, Moreno La Quatra. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Gennaro Petito. Pipeline for the automatic population of an automotive database: from retrieval to parsing of textual descriptions. Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Vittorio Pipoli. Tranformer-based architectures for long biological sequences. Rel. Elena Maria Baralis, Elisa Ficarra, Marta Lovino, Giuseppe Attanasio. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Paola Privitera. Retinal Vessel Segmentation from Optical Coherence Tomography Angiography images through Deep Autoencoder architectures and Adversarial approaches. Rel. Kristen Mariko Meiburger. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Andrea Rizzardi. Speeding up convergence while preserving privacy in Heterogeneous Federated Learning. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Luca Francesco Rossi. Deep neural networks for brain tumor segmentation in magnetic resonance imaging. Rel. Lia Morra, Fabrizio Lamberti, Luca Mainardi. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Simone Santia. Driving Style Estimation for Impaired Driving Detection: An AI-based solution using Reinforcement Learning. Rel. Angelo Bonfitto, Ilario Gerlero, Nicolo' Chiapello. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Francesco Scorca. Model-Based Reinforcement Learning for Driver Action Prediction. Rel. Fabrizio Lamberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Andrea Silvi. Sequential to Parallel Federated Learning with Semantic-Aware Client Groupings. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Alireza Talakoobi. Aneurysm Detection from Brain CT Scans. Rel. Daniele Apiletti, Davide Tricarico. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Matteo Tarantino. Detecting the Unknown in Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Noemi Tomasello. Energy-Efficient Deep Learning-based Heart-Rate Estimation on Wearables. Rel. Daniele Jahier Pagliari, Alessio Burrello, Matteo Risso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Chiara Tomei. Deep Autoencoder networks and Adversarial architectures for Retinal Vessel Segmentation from Optical Coherence Tomography Angiography images. Rel. Kristen Mariko Meiburger. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giulia Tortoioli. Learning Constraints in Robot Trajectories. Rel. Barbara Caputo. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Maria Francesca Turco. Data Science for predicting SARS-CoV-2 mortality. Rel. Roberto Fontana. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Maurizio Vassallo. OVER VOLTAGE SITUATIONS FORECAST AND ACTIVE CONTROL IN A MEDIUM-VOLTAGE POWER GRID. Rel. Luca Cagliero. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022

Giacomo Zema. Assessing Feasibility and Performance of Real-Time Semantic Segmentation in an Industrial IoT use case. Rel. Andrea Calimera. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022