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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2021 Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods Addressing State Representation in Deep Reinforcement Learning: a critical analysis of state-of-the-art” methods CANNAVÒ, FIAMMETTA
Lauree triennali 2022 Advanced Planning & Scheduling: gestione trasporto Advanced Planning & Scheduling: transport management RUFFIN, FILIPPO
Lauree magistrali 2022 An Anomaly Detection-based approach to Crash Detection in dynamic sports. An Anomaly Detection-based approach to Crash Detection in dynamic sports. BERTIPAGLIA, BEATRICE SOFIA
Lauree triennali 2022 Analisi, progettazione e sviluppo di un'integrazione di Google Assistant per un progetto di Smart Home Analysis, design and development of a Google Assistant integration for a Smart Home project VITAGLIANO, DAVIDE
Lauree magistrali 2022 Clustering of MotoGP track curves using machine learning techniques Clustering of MotoGP track curves using machine learning techniques CARIA, IRENE
Lauree triennali 2020 Comparazione tra Angular e React attraverso lo sviluppo di una web app Comparison between Angular and React through the development of a web app SCHIAVON, VITTORIO
Lauree magistrali 2023 Construction of LLMs in specific domains Construction of LLMs in specific domains SELEK, MAHIR
Lauree magistrali 2020 Deep learning for text classification: an application of generalized language models for italian texts - Parolo, Davide
Lauree magistrali 2020 Development of a recommender System for adaptive e-learning - Prenassi, Paolo
Lauree magistrali 2022 Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks. Federated learning: A study of its applications in seizure prediction & colorectal polyp segmentation tasks. ESPINAL HERNANDEZ, ANDRES GABRIEL
Lauree magistrali 2022 From SMILES to graphs: molecule representation in deep learning to predict chemical reactions From SMILES to graphs: molecule representation in deep learning to predict chemical reactions DEI NEGRI, LORENZO
Lauree magistrali 2020 GTM-based aggregation for Graph Convolutional Neural Network GTM-based aggregation for Graph Convolutional Neural Network FRAZZETTO, PAOLO
Lauree magistrali 2023 Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes MAGLIANI, JACOPO
Lauree magistrali 2023 Monocular Depth Estimation And Collision Prediction For Quadrotors Monocular Depth Estimation And Collision Prediction For Quadrotors PICELLO, NIKO
Lauree magistrali 2020 Piattaforma interattiva online per l'introduzione alla Data Science Interactive online platform for introduction to Data Science GHIOTTO, DAVIDE
Lauree magistrali 2023 Predictive Analytics for Enhanced Industrial Operations: Operation Time and Task Sequence Prediction Predictive Analytics for Enhanced Industrial Operations: Operation Time and Task Sequence Prediction AMINI, MOJTABA
Lauree triennali 2021 Progettazione di un sistema per webinar orientati al marketing Marketing webinar sistem design SCUTARI, TITO
Lauree triennali 2022 Sistema di estrazione di testo da documenti per RALM Text extraction system from documents for RALM AULETTA, ANDREA
Lauree vecchio ordinamento (ante riforma) 2001 Soluzione e apprendimento automatico di vincoli temporali con preferenze - Venable, Kristen B.
Lauree magistrali 2022 Studio preliminare sull'utilizzo di reti neurali per la rilevazione in real-time di LFP evocati da stimoli sensoriali Preliminary study on the use of neural networks for the real-time detection of LFP evoked by sensory stimuli AMATO, LEONARDO
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