Catalogo Ricerca UNIPI

Catalogo Ricerca UNIPI: [232742] Home page macrotipologia

Sfoglia

N.D. 0

1 Contributo su Rivista 136200
- N.D. 0
- 1.1 Articolo in rivista 126260
- 1.2 Recensione in rivista 3121
- 1.3 Scheda bibliografica 405
- 1.4 Nota a sentenza 959
- 1.5 Abstract in rivista 5313
- 1.6 Traduzione in rivista 142

2 Contributo in Volume 33281
- 2.1 Contributo in volume (Capitolo o Saggio) 28522
- 2.2 Prefazione/Postfazione 843
- 2.3 Breve introduzione 509
- 2.4 Voce (in dizionario o enciclopedia) 2290
- 2.5 Traduzione in volume 273
- 2.6 Recensione in volume 40
- 2.7 Schede di catalogo 804

3 Libro 6573
- 3.1 Monografia o trattato scientifico 5716
- 3.2 Concordanza 11
- 3.3 Indice 20
- 3.4 Bibliografia 9
- 3.5 Edizione critica 184
- 3.6 Pubblicazione di fonti inedite 196
- 3.7 Commento scientifico 141
- 3.8 Traduzione di libro 296

4 Contributo in Atti di Convegno (Proceeding) 48556
- 4.1 Contributo in Atti di convegno 35817
- 4.2 Abstract in Atti di convegno 11032
- 4.3 Poster 1707

5 Altro 3822
- 5.01 Composizione 104
- 5.02 Disegno 19
- 5.03 Design 4
- 5.04 Performance 15
- 5.05 Esposizione 35
- 5.06 Mostra 59
- 5.07 Manufatto 4
- 5.08 Prototipo d'arte e relativi progetti 2
- 5.09 Cartografia 243
- 5.10 Banca dati 375
- 5.11 Software 108
- 5.12 Altro 2854

6 Brevetti 958
- 6.1 Brevetto 958

7 Curatele 3354
- 7.1 Curatela 3354

Prodotti recenti

Predicting Influential Users in Online Social Networks Groups

The widespread adoption of Online Social Networks (OSNs), the ever-increasing amount of information produced by their users, and the corresponding capacity to influence markets, politics, and society, have led both industrial and academic researchers to focus on how such systems could be influenced. While previous work has mainly focused on measuring current influential users, contents, or pages on the overall OSNs, the problem of predicting influencers in OSNs has remained relatively unexplo...

A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models

Gene Regulatory Networks (GRNs) represent the interactions among genes regulating the activation of specific cell functionalities, such as reception of (chemical) signals or reaction to environmental changes. Studying and understanding these processes is crucial: they are the fundamental mechanism at the basis of cell functioning, and many diseases are based on perturbations or malfunctioning of some gene regulation activities. In this paper, we provide an overview on computational approaches...

Fast and Deep Graph Neural Networks

We address the efficiency issue for the construction of a deep graph neural network (GNN). The approach exploits the idea of representing each input graph as a fixed point of a dynamical system (implemented through a recurrent neural network), and leverages a deep architectural organization of the recurrent units. Efficiency is gained by many aspects, including the use of small and very sparse networks, where the weights of the recurrent units are left untrained under the stability condition ...

Component-aware Orchestration of Cloud-based Enterprise Applications, from TOSCA to Docker and Kubernetes

Enterprise IT is currently facing the challenge of coordinating the management of complex, multicomponent applications across heterogeneous cloud platforms. Containers and container orchestrators provide a valuable solution to deploy multicomponent applications over cloud platforms, by coupling the lifecycle of each application component to that of its hosting container. We hereby propose a solution for going beyond such a coupling, based on the OASIS standard TOSCA and on Docker. We indeed p...

Convex analysis in ℤⁿ and applications to integer linear programming

In this paper, we compare the definitions of convex sets and convex functions in finite dimensional integer spaces introduced by Adivar and Fang, Borwein, and Giladi, respectively. We show that their definitions of convex sets and convex functions are equivalent. We also provide exact formulations for convex sets, convex cones, affine sets, and convex functions and we analyze the separation between convex sets in finite dimensional integer spaces. As an application, we consider an integer lin...

Scopri

Accesso al fulltext

no fulltext198382
open19164
restricted9428
partially open3296
reserved2413
mixed32
embargoed27

CINECA IRIS Institutional Research Information System