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Università degli Studi di Milano: [9847] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 9.847
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Milano 2025 DISTRIBUTED COMPUTING BY MOBILE ROBOTS: COMPUTATIONAL POWER AND ALGORITHM DESIGN -
Università degli Studi di Milano 2025 MACHINE LEARNING FOR TEMPORAL HETEROGENEOUS GRAPHS: PREDICTIVE METHODS, INTERPRETABILITY AND APPLICATIONS. -
Università degli Studi di Milano 2025 DATA GOVERNANCE FRAMEWORK FOR ML-BASED, DATA-INTENSIVE DISTRIBUTED SYSTEMS -
Università degli Studi di Milano 2025 DISTRIBUTED AND DELAYED ONLINE LEARNING -
Università degli Studi di Milano 2025 PRECLINICAL EVALUATION OF A NOVEL NFIX INHIBITOR FOR MUSCULAR DYSTROPHIES TREATMENT -
Università degli Studi di Milano 2025 ROLE OF STRESS EARLY IN LIFE AND OF INFLAMMATION IN THE RISK TO DEVELOP DEPRESSION LATER IN LIFE -
Università degli Studi di Milano 2025 TRUSTED RUNTIME ENVIRONMENTS FOR EMBEDDED SYSTEMS: FROM MEMORY PROTECTION TO SECURE VIRTUALIZATION -
Università degli Studi di Milano 2025 IMPROVING VULNERABILITY TESTING AND DETECTION IN THE EMBEDDED CONTEXT -
Università degli Studi di Milano 2025 ALLE SOGLIE DEL DIRITTO: NORMATIVITÀ E NORME DEL COSTUME. CON UN SAGGIO INEDITO DI GEORG HENRIK VON WRIGHT -
Università degli Studi di Milano 2025 TOWARDS ACCELERATION OF QUANTUM-CLASSICAL ORCHESTRATION -
Università degli Studi di Milano 2025 STUDI SULLA TRADIZIONE ESEGETICA ED ERUDITA INTORNO AGLI IDILLI DI TEOCRITO. -
Università degli Studi di Milano 2025 A FULL-STACK SOFTWARE ARCHITECTURE FOR THE CONTROL AND CALIBRATION OF QUANTUM HARDWARE -
Università degli Studi di Milano 2025 WEIGHT STRUCTURES AND MOTIVIC COMPARISONS OF P-ADIC COHOMOLOGY THEORIES FOR RIGID ANALYTIC SPACES -
Università degli Studi di Milano 2025 GOVERNANCE, TRADE FINANCING AND SANCTIONS: A MULTI-LAYERED OF BANCA COMMERCIALE ITALIANA'S BRANCHES IN LONDON AND NEW YORK 1921 - 1941. -
Università degli Studi di Milano 2025 STRUCTURE-BASED APPROACHES TO DATA-DRIVEN PROTEIN FOLDING, AGGREGATION, AND SELF-ASSEMBLY -
Università degli Studi di Milano 2025 NEW PREDICTIVE FACTORS IDENTIFIED BY MOLECULAR STUDY IN CHEMORESISTANT HUMAN AND CANINE MAMMARY CARCINOMA CELLS -
Università degli Studi di Milano 2025 ASSESSMENT OF CELL AND METABOLIC IMPACT OF MICROTUBULE TARGETING AGENTS (MTA) IN NEURODEGENERATION AND NEURON MODELS. -
Università degli Studi di Milano 2025 QUALE EMERGENZA? IL "DELITTO POLITICO MAFIOSO" NELLA TEORIA GENERALE DEL REATO. -
Università degli Studi di Milano 2025 LA PARTITA DEGLI SPALTI. RELAZIONI TRA TIFOSERIE E CRIMINALITA' ORGANIZZATA NEL CALCIO MODERNO. -
Università degli Studi di Milano 2025 PER UNA GENEALOGIA DELLA DEVIANZA. CONFLITTI ECOLOGICI, CAPITALISMO E POTERE: PRODURRE LOCALITA' NEL CASO DELLA VALTROMPIA. -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 9.847
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Prodotti recenti

DISTRIBUTED COMPUTING BY MOBILE ROBOTS: COMPUTATIONAL POWER AND ALGORITHM DESIGN

The Look-Compute-Move (LCM) model is a theoretical framework widely used to formalize and study distributed systems of mobile autonomous robots, namely swarms of robots. Generally, the LCM model assumes robots are anonymous, indistinguishable, homogeneous, and punctiform entities acting on the Euclidean plane through LCM cycles. Other features may limit robots' power: e.g., mostly, literature considers disoriented robots, i.e., devoid of a global coordinate system, and with limited or absen...

MACHINE LEARNING FOR TEMPORAL HETEROGENEOUS GRAPHS: PREDICTIVE METHODS, INTERPRETABILITY AND APPLICATIONS.

This thesis develops a coherent framework for designing, evaluating, and interpreting predictive methods for temporal heterogeneous graphs by integrating modeling and tools from network science and graph deep learning. We introduce discrete-time graph learning architectures based on Graph Neural Networks (GNNs) and linear scoring functions tailored for forecasting dynamic, multi-relational networks, and provide a principled extension of message-passing paradigms to this setting. To address t...

DATA GOVERNANCE FRAMEWORK FOR ML-BASED, DATA-INTENSIVE DISTRIBUTED SYSTEMS

The data processing landscape has been fundamentally transformed in recent decades, evolving from monolithic systems to complex distributed architectures where multiple services operated by different parties collaborate to deliver sophisticated analytics capabilities. Machine Learning (ML) and Internet of Things (IoT) technologies are increasingly integrated into these systems, enabling advanced data processing pipelines that span multiple organizational boundaries. Modern distributed data pr...

DISTRIBUTED AND DELAYED ONLINE LEARNING

This thesis investigates the design and analysis of distributed and delayed online learning algorithms. First, we introduce delayed online learning, where model updates rely on feedback arriving with variable delays. We study the online learning problem with curved losses and delayed feedback, designing algorithms that exploit loss curvature to achieve improved guarantees with delayed feedback. Furthermore, we demonstrate how intermediate observations can mitigate the deleterious effects of ...

PRECLINICAL EVALUATION OF A NOVEL NFIX INHIBITOR FOR MUSCULAR DYSTROPHIES TREATMENT

Le Distrofie Muscolari (DM) sono malattie eterogenee, caratterizzate da progressiva degenerazione muscolare che, nei casi più severi, causa dipendenza dalla sedia a rotelle e morte prematura per blocco respiratorio o disfunzione cardiaca. La migliore strategia terapeutica per le DM coinvolge approcci volti a correggere il difetto genetico, come la terapia cellulare o genica, insieme a terapie secondarie, sviluppate per rallentare il decorso della patologia e preservare la struttura muscolare....

ROLE OF STRESS EARLY IN LIFE AND OF INFLAMMATION IN THE RISK TO DEVELOP DEPRESSION LATER IN LIFE

Major depressive disorder (MDD) is a severe mental illness affecting approximately 280 million people worldwide (Vos et al., 2020). It is characterized by physical symptoms such as fatigue, weight and appetite loss, along with core features like anhedonia, diminished motivation, sleep and cognitive disturbances, and emotional symptoms including excessive guilt (Cui et al., 2024). Increasing evidence links depression to both systemic and central immune alterations. Indeed, one of the most cons...

TRUSTED RUNTIME ENVIRONMENTS FOR EMBEDDED SYSTEMS: FROM MEMORY PROTECTION TO SECURE VIRTUALIZATION

The proliferation of embedded systems and IoT devices has introduced critical security challenges, particularly in environments constrained by limited computational and memory resources. This thesis addresses these challenges by proposing lightweight, scalable mechanisms for runtime memory protection and secure execution, with an emphasis on minimizing device overhead through remote verification. To strengthen spatial memory safety, the thesis introduces a fat pointer–based monitoring system ...

IMPROVING VULNERABILITY TESTING AND DETECTION IN THE EMBEDDED CONTEXT

Embedded systems are becoming a pervasive technology in today’s computational and societal landscape, with over 17 billion active devices in 2024 and projections exceeding 29 billion by 2030. Their applications span a wide range of domains, including both safety- and security-critical contexts. With a number of 5000 IoT-directed attacks per month and a cost estimate of 500,000\$ per attack, enhancing both pre-deployment vulnerability attestation through automated testing and runtime vulnerab...

ALLE SOGLIE DEL DIRITTO: NORMATIVITÀ E NORME DEL COSTUME. CON UN SAGGIO INEDITO DI GEORG HENRIK VON WRIGHT

What do the redistribution of unclaimed tickets at the Vienna Opera, the ringing of church bells on a Sunday in a Catholic village, the acclamation of a king after his election by the population, the etiquette of not applauding during a classical concert, and the courtesy of bringing a gift to a birthday party have in common? Throughout this research, I have examined these and other examples of the extension of the term custom—a term which, both in ordinary and in scientific language, designa...

TOWARDS ACCELERATION OF QUANTUM-CLASSICAL ORCHESTRATION

Quantum computing is expected to act as a hardware accelerator within future computing infrastructures, complementing classical processors in the same way GPUs accelerate specific workloads today. While algorithms such as Shor’s and Grover’s suggest potential advantages, the practical use of quantum devices will occur within hybrid architectures where classical and quantum resources coexist. Artificial intelligence illustrates this balance: classical methods, such as Transformers and their sc...

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Istituto
  • Università degli Studi di Milano9739
Data di pubblicazione
  • 2020 - 20251810
  • 2010 - 20193747
  • 2000 - 20092371
  • 1990 - 19991642
  • 1986 - 1989138
Settore disciplinare
  • Settore BIO/11 - Biologia Molecolare384
  • Settore BIO/10 - Biochimica340
  • Settore BIO/14 - Farmacologia334
  • Settore MED/04 - Patologia Generale322
  • Settore INF/01 - Informatica223
  • Settore CHIM/06 - Chimica Organica211
  • Settore BIO/09 - Fisiologia165
  • Settore BIO/13 - Biologia Applicata145
  • Settore FIS/03 - Fisica della Mat...126
  • Settore BIO/18 - Genetica120
Accesso al fulltext
  • open4953
  • no fulltext4213
  • internalNetwork301
  • embargoed266
  • partially open6