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Catalogo Ricerca: [6392] Home page macrotipologia

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1 Contributo su Rivista 3248
- 1.1 Articolo in rivista 3007
- 1.2 Recensione in rivista 155
- 1.3 Scheda bibliografica 5
- 1.4 Nota a sentenza 16
- 1.5 Abstract in rivista 62
- 1.6 Traduzione in rivista 3

2 Contributo in Volume 1038

3 Libro 127
- 3.1 Monografia o trattato scientifico 111
- 3.2 Concordanza 0
- 3.3 Indice 1
- 3.4 Bibliografia 0
- 3.5 Edizione critica 1
- 3.6 Pubblicazione di fonti inedite 6
- 3.7 Commento scientifico 2
- 3.8 Traduzione di libro 6

4 Contributo in Atti di Convegno (Proceeding) 1350
- 4.1 Contributo in Atti di convegno 1222
- 4.2 Abstract in Atti di convegno 95
- 4.3 Poster 33

5 Altro 144
- 5.01 Composizione 3
- 5.02 Disegno 0
- 5.03 Design 0
- 5.04 Performance 0
- 5.05 Esposizione 0
- 5.06 Mostra 3
- 5.07 Manufatto 0
- 5.08 Prototipo d'arte e relativi progetti 0
- 5.09 Cartografia 0
- 5.10 Banca dati 2
- 5.11 Software 5
- 5.12 Working paper 67
- 5.13 Progetto architettonico 0
- 5.14 Rapporto tecnico / Rapporto di ricerca 20
- 5.15 Altro 44

6 Brevetti 7
- 6.1 Brevetto 7

7 Curatele 113
- 7.1 Curatela 113

8 Tesi di dottorato 365
- 8.1 Tesi di dottorato 365

Prodotti recenti

Linking through time: memory-enhanced community discovery in temporal networks

Temporal networks present a unique challenge regarding the community discovery task. The inherent dynamism of these systems requires an intricate understanding of memory effects and structural heterogeneity, which are often key drivers of network evolution. This study focuses on Markovian temporal networks and addresses these challenges with an innovative community detection method that introduces a modularity function. We specifically demonstrate how our approach enhances the detectability t...

Reconstruction of multiplex networks with correlated layers

In many situations, the complete microscopic structure of a network is empirically inaccessible and has to be inferred from aggregate information using some probabilistic model. While several network reconstruction methods have been developed in the case of single-layer networks where nodes can be connected only by one type of link, the problem is still largely unexplored in the case of multiplex networks where several interdependent layers, each representing a distinct mode of connection, co...

Innovating Regulation to Govern Innovation: An Operational Proposal for a Multi-Authority Model of AI and Cybersecurity Regulatory Sandbox

This thesis addresses a key issue in the governance of the contemporary EU: the tension between the need to regulate innovation and the need to innovate regulation itself. In this context, the research focuses on regulatory sandboxes — controlled environments in which innovators can test new technologies under regulatory supervision — as a promising experimental tool for supporting innovation while ensuring compliance. This is particularly relevant in an increasingly digital landscape charact...

Linearizing and forecasting: a reservoir computing route to digital twins of the brain

Exploring the dynamics of complex systems such as the human brain is challenging due to inherent uncertainties and the limited availability of high-quality data. Here, we develop a mathematical theory for noisy linear recurrent neural networks (lRNNs) within the reservoir computing framework and demonstrate their effectiveness in constructing autonomous in silico replicas - digital-twins - of brain activity. We show that the Laplace-transform poles of high-dimensional inferred lRNNs directly ...

Generative agents and expectations: do LLMs align with heterogeneous agent models?

Results in the Heterogeneous Agent Model (HAM) literature determine the proportion of fundamentalists and trend followers in the financial market. This proportion varies according to the periods analyzed. In this paper, we use a large language model (LLM) to construct a generative agent (GA) that determines the probability of adopting one of the two strategies based on current information. The probabilities of strategy adoption are compared with those in the HAM literature for the S&P 500...

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