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Mostrati risultati da 15 a 31 di 31
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2021 Efficient Asynchronous Graph-Based Techniques for Neuromorphic Vision Sensing Efficient Asynchronous Graph-Based Techniques for Neuromorphic Vision Sensing VISONÀ, MATTEO
Lauree magistrali 2022 End-to-End Software Solutions: Microservices for Enterprises Registries and for Academic Digital Infrastructures End-to-End Software Solutions: Microservices for Enterprises Registries and for Academic Digital Infrastructures PANDEY, PRANAV
Lauree magistrali 2021 Frequent Subgraph Mining via Sampling with Rigorous Guarantees Frequent Subgraph Mining via Sampling with Rigorous Guarantees PELLIZZONI, PAOLO
Lauree magistrali 2021 Identifying tumor clones with noisy itemset mining Identifying tumor clones with noisy itemset mining BENFATTI, SAMUELE
Lauree magistrali 2022 Investigation of the usage of Rademacher Averages for causal rule discovery Investigation of the usage of Rademacher Averages for causal rule discovery DONOLATO, PAOLA
Lauree magistrali 2023 Large language models in genetica molecolare: retrieval augmented generation per facilitare la consulenza genetica Large language models in molecular genetics: retrieval augmented generation to help genetic counselling GREGORI, ANDREA
Lauree magistrali 2019 Machine Learning based Signal Generation Strategies for High-Speed Optical Transmitters - Rossi, Andrea
Lauree magistrali 2020 Machine learning techniques for classification problems related to therapies in diabetes patients - Barutta, Elena
Lauree magistrali 2019 Mining motifs in temporal networks - Sarpe, Ilie
Lauree magistrali 2019 On the use of Silhouette for cost based clustering - Sansoni, Marco
Lauree magistrali 2019 On the use of the Rademacher complexity in mining sequential patterns - Santoro, Diego
Lauree magistrali 2022 Representative Itemsets Mining: A Clustering Approach Representative Itemsets Mining: A Clustering Approach SENO, GIACOMO
Lauree magistrali 2023 Sampling for subtrajectory clustering Sampling for subtrajectory clustering POZZER, MATTEO
Lauree magistrali 2020 Studio dell'estrazione di sottografi mutati nei tumori tramite l'analisi di network motifs - Venir, Luca
Lauree triennali 2020 Studio di algoritmi efficienti per il campionamento ed applicazione a dataset di sequenze di DNA Study of efficient algorithms for sampling and application to DNA sequence datasets BERTON, FEDERICO
Lauree magistrali 2016 Studio di metodi di apprendimento automatico per la predizione del tipo tumorale - Donami, Mattia
Lauree magistrali 2021 Sviluppo e valutazione di una pipeline computazionale per la rilevazione e l'analisi di repeat expansions da dati di sequenziamento. Development and evaluation of a computational pipeline for the detection and analysis of repeat expansions from high-throughput sequencing. VETTOR, FEDERICA
Mostrati risultati da 15 a 31 di 31
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