Search results for " Informatica"

showing 10 items of 978 documents

Vita, morte e miracoli di Alan Mathison Turing

2007

La vita di Turing si puo leggere in molte biografie: ottima ed enciclopedica quella di Andrew Hodges (pubblicata in Italia da Bollati Boringhieri); molto piacevole l’agile libretto di Gianni Rigamonti, Turing, il genio e lo scandalo (Flaccovio editore, Palermo, 1991). In entrambi i libri si possono anche trovare cenni alla sua tragica fine, della quale la societa inglese di quel tempo non puo certo menar vanto; ma chissa come si sarebbero comportate altre societa.

Settore INF/01 - InformaticaA. M. Turing calcolabilità I.A.
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The Myriad Virtes of Wavelet Trees

2009

A new data structure, the wavelet tree, is analysied and discussed with particular attention to data compression

Settore INF/01 - InformaticaAlgorithms Data Structures Data Compression
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Disposizioni di agenti in spazi geometrici arbitrari: un approccio basato sulla computazione evolutiva

2015

In many different social contexts, communication allows a collective intelligence to emerge. However, a correct way of exchanging information usually requires determined topological conigurations of the agents involved in the process. Such a coniguration should take into account several parameters, e.g. agents positioning, their proximity, time eficiency of communication. Our aim is to present an algorithm, based on evolutionary programming, which optimizes agents placement on arbitrarily shaped areas. In order to show its ability to deal with arbitrary bi-dimensional topologies, this algorithm has been tested on a set of differently shaped areas that present concavities, convexities and ob…

Settore INF/01 - InformaticaAlgoritmi Evolutivi Ottimizzazione
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Algoritmica Per Le Scienze Della Vita

2011

Capito dove si esemplifica come l' algoritmica contribuisce a carpire i segreti della Monna Lisa della scienza moderna.

Settore INF/01 - InformaticaAlgoritmi Genomica Proteomica Bioinformatica
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2D-Pattern Indexing

2008

Data Structures for two-dimensional pattern matching are presented and discussed.

Settore INF/01 - InformaticaAlgorothms Data Structures
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Symmetry operators in computer vision

1996

Symmetry plays a remarkable role in perception problems. For example, peaks of brain activity are measured in correspondence with visual patterns showing symmetry. Relevance of symmetry in vision was already noted by Köler in 1929. Here, properties of a symmetry operator are reported and a new algorithm to measure local symmetries is proposed. Its performance is tested on segmentation of complex visual patterns and the classification of sparse images. Copyright © 1996 Elsevier Science Ltd.

Settore INF/01 - InformaticaAstronomy and Astrophysics
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Modelling and Simulation in Science, Proceedings of the 6th International Workshop on Data Analysis in Astronomy >

2007

Settore INF/01 - InformaticaAstrophysics Cosmology Earth Physics Biology Biochemistry Bioinformatics Data analysis methodology and techniques.
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Algorithms in Bioinformatics

2008

Settore INF/01 - InformaticaBioinformatics
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Discriminating Graph Pattern Miningfrom Gene Expression Data

2016

We consider the problem of mining gene expression data in order to single out interesting features characterizing healthy/unhealthy samples of an input dataset. We present an approach based on a network model of the input gene expression data, where there is a labelled graph for each sample. To the best of our knowledge, this is the first attempt to build a different graph for each sample and, then, to have a database of graphs for representing a sample set. Our main goal is that of singling out interesting differences between healthy and unhealthy samples, through the extraction of "discriminative patterns" among graphs belonging to the two different sample sets. Differently from the other…

Settore INF/01 - InformaticaBiological networkPattern miningGene expression dataSoftware
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Knowledge Extraction from Biological and Social Graphs

2022

Many problems from the real life deal with the generation of enormous, varied, dynamic, and interconnected datasets coming from different and heterogeneous sources. This PhD Thesis focuses on the proposal of novel knowledge extraction techniques from graphs, mainly based on Big Data methodologies. Two application contexts are considered: Biological and Medical data, with the final aim of identifying biomarkers for diagnosis, treatment, prognosis, and prevention of diseases. Social data, for the optimization of advertising campaigns, the comparison of user profiles, and neighborhood analysis.

Settore INF/01 - InformaticaBiological networks Social networks Big data
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