Institution
Roma Tre University
Education•Rome, Lazio, Italy•
About: Roma Tre University is a education organization based out in Rome, Lazio, Italy. It is known for research contribution in the topics: Large Hadron Collider & Galaxy. The organization has 4434 authors who have published 15352 publications receiving 374888 citations. The organization is also known as: Universita degli Studi Roma Tre & RomaTre.
Papers published on a yearly basis
Papers
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17 Mar 2008TL;DR: In this paper, the authors developed tools for the asymptotic analysis of random walks on the discrete circle and the finite ultrametric space and concluded with case-by-case analysis of the cut-off phenomenon discovered by Persi Diaconis.
Abstract: Line up a deck of 52 cards on a table. Randomly choose two cards and switch them. How many switches are needed in order to mix up the deck? Starting from a few concrete problems such as random walks on the discrete circle and the finite ultrametric space this book develops the necessary tools for the asymptotic analysis of these processes. This detailed study culminates with the case-by-case analysis of the cut-off phenomenon discovered by Persi Diaconis. This self-contained text is ideal for graduate students and researchers working in the areas of representation theory, group theory, harmonic analysis and Markov chains. Its topics range from the basic theory needed for students new to this area, to advanced topics such as the theory of Green's algebras, the complete analysis of the random matchings, and the representation theory of the symmetric group.
95 citations
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TL;DR: A case study in adaptive information filtering systems for the Web is presented and the results of the experiments are satisfactory and support the choice of a user model-based approach to information filtering on the Web.
Abstract: A case study in adaptive information filtering systems for the Web is presented. The described system comprises two main modules, named HUMOS and WIFS. HUMOS is a user modeling system based on stereotypes. It builds and maintains long term models of individual Internet users, representing their information needs. The user model is structured as a frame containing informative words, enhanced with semantic networks. The proposed machine learning approach for the user modeling process is based on the use of an artificial neural network for stereotype assignments. WIFS is a content-based information filtering module, capable of selecting html/text documents on computer science collected from the Web according to the interests of the user. It has been created for the very purpose of the structure of the user model utilized by HUMOS. Currently, this system acts as an adaptive interface to the Web search engine ALTA VISTATM. An empirical evaluation of the system has been made in experimental settings. The experiments focused on the evaluation, by means of a non-parametric statistics approach, of the added value in terms of system performance given by the user modeling component; it also focused on the evaluation of the usability and user acceptance of the system. The results of the experiments are satisfactory and support the choice of a user model-based approach to information filtering on the Web.
95 citations
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TL;DR: The biochemical and physiological properties of microbial sulfurtransferases are reviewed in the light of the importance of rhodanese in cyanide detoxification by the cyanogenic bacterium Pseudomonas aeruginosa.
Abstract: Cyanide is a dreaded chemical because of its toxic properties Although cyanide acts as a general metabolic inhibitor, it is synthesized, excreted and metabolized by hundreds of organisms, including b
94 citations
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TL;DR: In this article, the authors mapped the repartition of the Quaternary coastal sequences in Argentinean Patagonia, secured accurate altitudes of shoreline angles associated with erosional morphologies (i.e., marine terraces and notches), and took into account previous chrono-stratigraphical interpretations in order to calculate mean uplift rates since ~440 ka (MIS 11) and proposed age ranges for the higher and older features (up to ~180 m).
94 citations
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TL;DR: This paper presents PCLA, a novel algorithm that relies on Learning Automata to implement sleep scheduling approaches that aims at minimizing the number of sensors to activate for covering a desired portion of the region of interest preserving the connectivity among sensors.
94 citations
Authors
Showing all 4598 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrew White | 149 | 1494 | 113874 |
Sw. Banerjee | 146 | 1906 | 124364 |
Fuqiang Wang | 145 | 1518 | 95014 |
Stefano Giagu | 139 | 1651 | 101569 |
Silvia Masi | 139 | 669 | 97618 |
Filippo Ceradini | 131 | 1016 | 82732 |
Mattias Ellert | 131 | 1022 | 82637 |
Francesco Lacava | 130 | 1042 | 79680 |
Giovanni Organtini | 129 | 1438 | 85866 |
Georg Zobernig | 129 | 1125 | 83321 |
Monica Verducci | 129 | 896 | 76002 |
Marzio Nessi | 129 | 1046 | 78641 |
Cristian Stanescu | 128 | 922 | 76446 |
Domizia Orestano | 128 | 982 | 78297 |
Lashkar Kashif | 128 | 782 | 74072 |