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Institution

University of Siena

EducationSiena, Italy
About: University of Siena is a education organization based out in Siena, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 12179 authors who have published 33334 publications receiving 1008287 citations. The organization is also known as: Università degli studi di Siena & Universita degli studi di Siena.


Papers
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Journal ArticleDOI
TL;DR: This study shows that folinic acid plus 5-fluorouracil adjuvant chemotherapy is effective in patients with surgically resected Dukes' stage C colon carcinoma.

221 citations

Journal ArticleDOI
TL;DR: In CLBP patients, postural stability under challenging conditions is maintained by an increased sway in AP direction, which may underlie a dysfunction of the peripheral proprioceptive system or the central integration of proprioception information.

221 citations

Journal ArticleDOI
TL;DR: Simulation and experimental results show the effectiveness of the proposed control scheme, which exploits the epipolar geometry defined by the current and desired camera views and does not need any knowledge of the 3-D scene geometry.
Abstract: We present an image-based visual servoing strategy for driving a nonholonomic mobile robot equipped with a pinhole camera toward a desired configuration. The proposed approach, which exploits the epipolar geometry defined by the current and desired camera views, does not need any knowledge of the 3-D scene geometry. The control scheme is divided into two steps. In the first, using an approximate input-output linearizing feedback, the epipoles are zeroed so as to align the robot with the goal. Feature points are then used in the second translational step to reach the desired configuration. Asymptotic convergence to the desired configuration is proven, both in the calibrated and partially calibrated case. Simulation and experimental results show the effectiveness of the proposed control scheme

221 citations

Journal ArticleDOI
TL;DR: The gutta-percha group exhibited significantly higher interfacial strength than the Resilon group, when premature failures that occurred in Resilon root slices were included in the statistical analysis, and similarly low interfacial strengths achieved with both types of root filling challenges the concept of strengthening root-filled teeth with the new endodontic material.

221 citations

Journal ArticleDOI
Justin Albert1, E. Aliu, H. Anderhub2, P. Antoranz3, A. Armada, M. Asensio3, C. Baixeras4, Juan Abel Barrio3, H. Bartko5, Denis Bastieri6, Julia Becker7, W. Bednarek, K. Berger1, Ciro Bigongiari6, Adrian Biland2, R. K. Bock6, R. K. Bock5, Pol Bordas8, Valentí Bosch-Ramon8, Thomas Bretz1, I. Britvitch2, M. Camara3, E. Carmona5, Ashot Chilingarian9, Stefano Ciprini, J. A. Coarasa5, S. Commichau2, Jose Luis Contreras3, Juan Cortina, M. T. Costado10, V. Curtef7, V. Danielyan9, Francesco Dazzi6, A. De Angelis11, C. Delgado10, R. de los Reyes3, B. De Lotto11, E. Domingo-Santamaría, Daniela Dorner1, Michele Doro6, Manel Errando, Michela Fagiolini12, Daniel Ferenc13, E. Fernandez, R. Firpo, Jose Flix, M. V. Fonseca3, Ll. Font4, M. Fuchs5, Nicola Galante5, R. J. García-López10, M. Garczarczyk5, Markus Gaug10, Maria Giller, Florian Goebel5, D. Hakobyan9, Masaaki Hayashida5, T. Hengstebeck14, A. Herrero10, D. Höhne1, J. Hose5, S. Huber1, C. C. Hsu5, P. Jacon, T. Jogler5, R. Kosyra5, D. Kranich2, R. Kritzer1, A. Laille13, Elina Lindfors, Saverio Lombardi6, Francesco Longo11, Jorge Andres Lopez Lopez, M. López3, E. Lorenz5, E. Lorenz2, P. Majumdar5, G. Maneva, K. Mannheim1, Mosè Mariotti6, M. I. Martínez, Daniel Mazin, C. Merck5, Mario Meucci12, M. Meyer1, Jose Miguel Miranda3, R. Mirzoyan5, S. Mizobuchi5, Abelardo Moralejo, Daniel Nieto3, K. Nilsson, Jelena Ninkovic5, E. Oña-Wilhelmi, N. Otte14, N. Otte5, I. Oya3, M. Panniello10, Riccardo Paoletti12, J. M. Paredes8, M. Pasanen, D. Pascoli6, F. Pauss2, R. Pegna12, Massimo Persic15, Massimo Persic11, L. Peruzzo6, A. Piccioli12, N. Puchades, Elisa Prandini6, A. Raymers9, Wolfgang Rhode7, Marc Ribó8, J. Rico, M. Rissi2, A. Robert4, S. Rügamer1, A. Saggion6, Takashi Saito5, Alvaro Sanchez4, P. Sartori6, V. Scalzotto6, V. Scapin11, R. Schmitt1, T. Schweizer5, M. Shayduk5, M. Shayduk14, K. Shinozaki5, S. N. Shore16, N. Sidro, A. Sillanpää, Dorota Sobczyńska, Felix Spanier1, Antonio Stamerra12, L. S. Stark2, L. O. Takalo, Petar Temnikov, D. Tescaro, Masahiro Teshima5, Diego F. Torres17, Nicola Turini12, H. Vankov, A. Venturini11, V. Vitale11, Robert Wagner5, Tadeusz Wibig, W. Wittek5, F. Zandanel6, Roberta Zanin, J. Zapatero4 
TL;DR: In this paper, an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC, is described, and critical issues of the method and its implementation are discussed.
Abstract: The paper describes an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC. In such telescopes, cosmic gamma-rays are observed and have to be discriminated against a dominating background of hadronic cosmic-ray particles. We describe the application of RF for this gamma/hadron separation. The RF method often shows superior performance in comparison with traditional semi-empirical techniques. Critical issues of the method and its implementation are discussed. An application of the RF method for estimation of a continuous parameter from related variables, rather than discrete classes, is also discussed.

221 citations


Authors

Showing all 12352 results

NameH-indexPapersCitations
Johan Auwerx15865395779
I. V. Gorelov1391916103133
Roberto Tenchini133139094541
Francesco Fabozzi133156193364
M. Davier1321449107642
Roberto Dell'Orso132141292792
Rino Rappuoli13281664660
Teimuraz Lomtadze12989380314
Manas Maity129130987465
Dezso Horvath128128388111
Paolo Azzurri126105881651
Vincenzo Di Marzo12665960240
Igor Katkov12597271845
Ying Lu12370862645
Thomas Schwarz12370154560
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022221
20211,870
20201,979
20191,639
20181,523