Sfoglia per Relatore
Analyzing Graph Out-of-Distribution Generalization through Representational Similarity Measures
2023/2024 BULAT, NIKOLA
Approcci algoritmici per scoprire le traiettorie conservate nelle filogenie tumorali
2022/2023 ORSOLON, LUDOVICO
Approximating Temporal Betweenness Centrality with Predictions
2024/2025 DE ALMEIDA MATOS JUNIOR, ROGER
Betweenness centrality estimation with predictions
2024/2025 D'EMILIO, FILIPPO
Computational Approaches for Anomaly Detection in Heat Pump Units
2023/2024 URSINO, ALBERTO
Computational methods to characterize mutations in cancer phylogenetic trees
2017/2018 Scarpa, Tommaso
Counting Triangles in Graph Streams using Machine Learning Predictions
2022/2023 BOLDRIN, CRISTIAN
Data analysis techniques for predicting and optimizing an industrial process
2020/2021 Simionato, Dario
Data Warehousing for Financial Processes in the Fashion Industry
2022/2023 TOFFANO, RICCARDO
A Deep Learning Model for Personalized Human Activity Recognition
2019/2020 Buffelli, Davide
Design and evaluation of bioinformatic tools to detect rare CNVs
2021/2022 DAINESE, MATTEO
Design and evaluation of ETL architectures in AWS
2021/2022 CHIMETTO, ALESSANDRO
Discovering Cancer's Evolutionary Patterns: A Multi-Phylogenetic Approach to Tumor Trajectories
2023/2024 RUSSO, MICHELE
Efficient Asynchronous Graph-Based Techniques for Neuromorphic Vision Sensing
2021/2022 VISONÀ, MATTEO
End-to-End Software Solutions: Microservices for Enterprises Registries and for Academic Digital Infrastructures
2022/2023 PANDEY, PRANAV
Explainable GNNs for Spatial Transcriptomics
2024/2025 HAJIBAGHER TEHRAN, MOHAMMADAMIN
Frequent Subgraph Mining via Sampling with Rigorous Guarantees
2021/2022 PELLIZZONI, PAOLO
Identifying tumor clones with noisy itemset mining
2021/2022 BENFATTI, SAMUELE
Implementation and Evaluation of Learning-Based Frequency Estimation
2024/2025 MOUSAVIFAR, SEYEDALIREZA
Investigation of the usage of Rademacher Averages for causal rule discovery
2022/2023 DONOLATO, PAOLA
| Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
|---|---|---|---|---|---|
| Scuola Galileiana di Studi Superiori - percorso quinquennale | 2023 | Analyzing Graph Out-of-Distribution Generalization through Representational Similarity Measures | Analyzing Graph Out-of-Distribution Generalization through Representational Similarity Measures | BULAT, NIKOLA | |
| Lauree triennali | 2022 | Approcci algoritmici per scoprire le traiettorie conservate nelle filogenie tumorali | Algorithmic approaches to discover significant evolutionary trajectories in cancer phylogenies | ORSOLON, LUDOVICO | |
| Lauree magistrali | 2024 | Approximating Temporal Betweenness Centrality with Predictions | Approximating Temporal Betweenness Centrality with Predictions | DE ALMEIDA MATOS JUNIOR, ROGER | |
| Lauree magistrali | 2024 | Betweenness centrality estimation with predictions | Betweenness centrality estimation with predictions | D'EMILIO, FILIPPO | |
| Lauree magistrali | 2023 | Computational Approaches for Anomaly Detection in Heat Pump Units | Computational Approaches for Anomaly Detection in Heat Pump Units | URSINO, ALBERTO | |
| Lauree magistrali | 2017 | Computational methods to characterize mutations in cancer phylogenetic trees | - | Scarpa, Tommaso | |
| Lauree magistrali | 2022 | Counting Triangles in Graph Streams using Machine Learning Predictions | Counting Triangles in Graph Streams using Machine Learning Predictions | BOLDRIN, CRISTIAN | |
| Lauree magistrali | 2020 | Data analysis techniques for predicting and optimizing an industrial process | - | Simionato, Dario | |
| Lauree magistrali | 2022 | Data Warehousing for Financial Processes in the Fashion Industry | Data Warehousing for Financial Processes in the Fashion Industry | TOFFANO, RICCARDO | |
| Lauree magistrali | 2019 | A Deep Learning Model for Personalized Human Activity Recognition | - | Buffelli, Davide | |
| Lauree magistrali | 2021 | Design and evaluation of bioinformatic tools to detect rare CNVs | Design and evaluation of bioinformatic tools to detect rare CNVs | DAINESE, MATTEO | |
| Lauree magistrali | 2021 | Design and evaluation of ETL architectures in AWS | Design and evaluation of ETL architectures in AWS | CHIMETTO, ALESSANDRO | |
| Lauree magistrali | 2023 | Discovering Cancer's Evolutionary Patterns: A Multi-Phylogenetic Approach to Tumor Trajectories | Discovering Cancer's Evolutionary Patterns: A Multi-Phylogenetic Approach to Tumor Trajectories | RUSSO, MICHELE | |
| 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 | 2024 | Explainable GNNs for Spatial Transcriptomics | Explainable GNNs for Spatial Transcriptomics | HAJIBAGHER TEHRAN, MOHAMMADAMIN | |
| 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 triennali | 2024 | Implementation and Evaluation of Learning-Based Frequency Estimation | Implementation and Evaluation of Learning-Based Frequency Estimation | MOUSAVIFAR, SEYEDALIREZA | |
| 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 |
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