Global ETD Search

1. 1

   DEALING WITH NEXT-GENERATION MALWARE

   R. PaleariUniversità degli Studi di Milano2011

   … obtain by selling on the underground market the information stolen from the infected hosts. To maximize their profit, miscreants continuously improve their creations to make them more and more resilient against anti-malware solutions. This increasing sophistication in malicious code led to …

   milano Repository record for DEALING WITH NEXT-GENERATION MALWARE (opens in a new tab)

2. 2

   APROVER: A FRAMEWORK FOR THE DEVELOPMENT OF SECURITY PROTOCOLS

   LILLI, MARIOUniversità degli Studi di Milano2024

   In the dynamic landscape of emerging technologies such as IoT and 5G, the integration of advanced cryptographic protocols becomes essential for fostering secure and data-driven communication. The reliability of crypto- graphic protocols plays a pivotal role, enabling secure communication chan- …

   milano Repository record for APROVER: A FRAMEWORK FOR THE DEVELOPMENT OF SECURITY PROTOCOLS (opens in a new tab)

3. 3

   META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS

   MARQUES TAVARES, GABRIELUniversità degli Studi di Milano2023

   … to improve the quality of their services. Modern information systems track and record in-depth data regarding activities performed within their business processes. The event data describes the actual process performance along with several possible attributes. Process mining stands as a set of …

   milano Repository record for META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS (opens in a new tab)

4. 4

   NON-FUNCTIONAL CERTIFICATION OF MODERN DISTRIBUTED SYSTEMS

   BENA, NICOLAUniversità degli Studi di Milano2024

   … (e.g., software artifacts, development process) influencing the services non-functional properties. We compare the quality of the scheme when applied in the context of system life cycle management with respect to the state of the art. Then, we extend our scheme to implement a continuous …

   milano Repository record for NON-FUNCTIONAL CERTIFICATION OF MODERN DISTRIBUTED SYSTEMS (opens in a new tab)

5. 5

   SIGNAL MODELS, ANALYSIS ALGORITHMS, AND SOFTWARE TOOLS FOR MODAL AUDIO RESYNTHESIS

   TIRABOSCHI, MARCOUniversità degli Studi di Milano2024

   … retaining the original channel distribution information for later resynthesis. Beyond the theoretical framework, the thesis details the development of software tools to make these methods readily usable. SAMPLE is a Python package that implements the algorithms and models, along with …

   milano Repository record for SIGNAL MODELS, ANALYSIS ALGORITHMS, AND SOFTWARE TOOLS FOR MODAL AUDIO RESYNTHESIS (opens in a new tab)

6. 6

   AI-DRIVEN ATRIAL ARRHYTHMIA DETECTION: DEVELOPMENT, CROSS-COMPARISON AND UNCERTAINTY QUANTIFICATION OF ALGORITHMS FOR CLINICAL CONTINUOUS ECGS

   RAHMAN, MD MOKLESURUniversità degli Studi di Milano2024

   Background: Atrial arrhythmias, particularly atrial fibrillation (AF), are prevalent cardiovascular disorders characterized by irregular heart rhythms originating from the atria, and affecting approximately 2-3% of the global population. These conditions are associated with increased risks of …

   milano Repository record for AI-DRIVEN ATRIAL ARRHYTHMIA DETECTION: DEVELOPMENT, CROSS-COMPARISON AND UNCERTAINTY QUANTIFICATION OF ALGORITHMS FOR CLINICAL CONTINUOUS ECGS (opens in a new tab)

7. 7

   SCALABLE GRAPH REPRESENTATIONAL LEARNING ALGORITHMS FOR NETWORK MEDICINE

   CAPPELLETTI, LUCAUniversità degli Studi di Milano2023

   … libraries, 61 node embedding methods, 25 inference models, and three modular pipelines to allow a findable, accessible, interoperable, and reusable (FAIR) and reproducible comparison of methods and libraries for graph processing and embedding. GRAPE can quickly generate billions of sampled …

   milano Repository record for SCALABLE GRAPH REPRESENTATIONAL LEARNING ALGORITHMS FOR NETWORK MEDICINE (opens in a new tab)

8. 8

   NON-STATIONARY MULTIARMED BANDITS FOR SATIATION AND SEASONALITY PHENOMENA IN MUSIC RECOMMENDER SYSTEMS

   CLERICI, GIULIAUniversità degli Studi di Milano2024

   … to handle non-stationary phenomena within an infinite set of actions, posing complex challenges for cross-arm dependencies. We formalize a model called \textit{Linear Bandit with Memory}, where the expected reward of an action is influenced by the learner's past actions in a fixed-size window, …

   milano Repository record for NON-STATIONARY MULTIARMED BANDITS FOR SATIATION AND SEASONALITY PHENOMENA IN MUSIC RECOMMENDER SYSTEMS (opens in a new tab)

9. 9

   ATRIAL COMPLEX NETWORKS IN ENDOCAVITARY RECORDINGS DURING ATRIAL FIBRILLATION

   VILA, MUHAMEDUniversità degli Studi di Milano2022

   L'incidenza e la prevalenza delle malattie atriali, in particolare della fibrillazione atriale (FA), stanno raggiungendo oggi proporzioni pandemiche. Nonostante i notevoli sforzi di ricerca e i progressi compiuti nella comprensione dei meccanismi alla base della FA, la capacità di trattarla rimane …

   milano Repository record for ATRIAL COMPLEX NETWORKS IN ENDOCAVITARY RECORDINGS DURING ATRIAL FIBRILLATION (opens in a new tab)

10. 10

    Semi-Supervised Learning under Inductive, Fairness and Privacy Constraints

    Pensa, Ruggero Gaetano, Esposito, Roberto, Yang, ShuyiUniversità degli Studi di Torino2023

    unito Repository record for Semi-Supervised Learning under Inductive, Fairness and Privacy Constraints (opens in a new tab)

11. 11

    Multimodal Learning and Feature Fusion Methodologies for Real Case Scenarios

    Grangetto, Marco, Zaffaroni, MirkoUniversità degli Studi di Torino2023

    unito Repository record for Multimodal Learning and Feature Fusion Methodologies for Real Case Scenarios (opens in a new tab)

12. 12

    Collateral-Free Learning of Deep Representations: From Natural Images to Biomedical Applications

    Grangetto, Marco, Barbano, Carlo Alberto MariaUniversità degli Studi di Torino2023

    unito Repository record for Collateral-Free Learning of Deep Representations: From Natural Images to Biomedical Applications (opens in a new tab)

13. 13

    The computational core: reduction theory and intersection type discipline

    De' Liguoro, Ugo, Treglia, RiccardoUniversità degli Studi di Torino2022

    unito Repository record for The computational core: reduction theory and intersection type discipline (opens in a new tab)

14. 14

    Advancing Multilingual DRS-based Semantic Parsing and Generation: A Framework for Data Transformation, Robust Evaluation, and Task Reversibility

    Mazzei, Alessandro, Anselma, Luca, Amin, Muhammad SaadUniversità degli Studi di Torino2025

    unito Repository record for Advancing Multilingual DRS-based Semantic Parsing and Generation: A Framework for Data Transformation, Robust Evaluation, and Task Reversibility (opens in a new tab)

15. 15

    Enhancing Foundation Models in Specialized Domains: Integrating Knowledge Graphs Embeddings and Multimodal Learning through Contrastive Learning

    Di Caro, Luigi, Ferrod, RogerUniversità degli Studi di Torino2025

    unito Repository record for Enhancing Foundation Models in Specialized Domains: Integrating Knowledge Graphs Embeddings and Multimodal Learning through Contrastive Learning (opens in a new tab)

16. 16

    Prediction of Actual Evapotranspiration and Analysis of Air Temperature Trends and Pattern Similarities: A Machine Learning and Statistical Approach

    Meo, Rosa, Di Nardo, Elvira, Ferraris, Stefano, Liyew, Chalachew MulukenUniversità degli Studi di Torino2025

    unito Repository record for Prediction of Actual Evapotranspiration and Analysis of Air Temperature Trends and Pattern Similarities: A Machine Learning and Statistical Approach (opens in a new tab)

17. 17

    Event-based access to historical textual collections

    Goy, Annamaria, Rovera, MarcoUniversità degli Studi di Torino2019

    unito Repository record for Event-based access to historical textual collections (opens in a new tab)

18. 18

    Learning with Geometry: Advancing Representation and Federated Learning

    Aldinucci, Marco, Esposito, Roberto, Fonio, SamueleUniversità degli Studi di Torino2026

    unito Repository record for Learning with Geometry: Advancing Representation and Federated Learning (opens in a new tab)

19. 19

    Effective User Interactions for Visual Analytics Tools

    Gena, Cristina, Guchev, VladimirUniversità degli Studi di Torino2020

    unito Repository record for Effective User Interactions for Visual Analytics Tools (opens in a new tab)

20. 20

    Deterioration: methods for estimation in natural and artificial systems

    Fiandrotti, Attilio, Grangetto, Marco, Tricarico, DavideUniversità degli Studi di Torino2023

    unito Repository record for Deterioration: methods for estimation in natural and artificial systems (opens in a new tab)

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