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Institution

Roma Tre University

EducationRome, 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
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Book
17 Mar 2008
TL;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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Andrew White1491494113874
Sw. Banerjee1461906124364
Fuqiang Wang145151895014
Stefano Giagu1391651101569
Silvia Masi13966997618
Filippo Ceradini131101682732
Mattias Ellert131102282637
Francesco Lacava130104279680
Giovanni Organtini129143885866
Georg Zobernig129112583321
Monica Verducci12989676002
Marzio Nessi129104678641
Cristian Stanescu12892276446
Domizia Orestano12898278297
Lashkar Kashif12878274072
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20251
2023121
2022212
20211,137
20201,200
20191,224