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Barbara Cantalupo
Researcher at University of Turin
Publications - 28
Citations - 337
Barbara Cantalupo is an academic researcher from University of Turin. The author has contributed to research in topics: Workflow & Computer science. The author has an hindex of 6, co-authored 19 publications receiving 190 citations. Previous affiliations of Barbara Cantalupo include University of Pisa.
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Journal ArticleDOI
Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets
Fabrizio D'Ascenzo,Ovidio De Filippo,Guglielmo Gallone,Gianluca Mittone,Marco Agostino Deriu,Mario Iannaccone,Albert Ariza-Solé,Christoph Liebetrau,Sergio Manzano-Fernández,Giorgio Quadri,Tim Kinnaird,Gianluca Campo,José P.S. Henriques,James M. Hughes,Alberto Dominguez-Rodriguez,Marco Aldinucci,Umberto Morbiducci,Giuseppe Patti,Sergio Raposeiras-Roubín,Emad Abu-Assi,Gaetano M. De Ferrari,Francesco Piroli,Andrea Saglietto,Federico Conrotto,Pierluigi Omedè,Antonio Montefusco,Mauro Pennone,Francesco Bruno,Pier Paolo Bocchino,Giacomo Boccuzzi,Enrico Cerrato,Ferdinando Varbella,Michela Sperti,Stephen B. Wilton,Lazar Velicki,Ioanna Xanthopoulou,Angel Cequier,Andrés Íñiguez-Romo,Isabel Muñoz Pousa,María Cespón Fernández,Berenice Caneiro Queija,Rafael Cobas-Paz,Ángel López-Cuenca,Alberto Garay,Pedro Flores Blanco,Andrea Rognoni,Giuseppe Biondi Zoccai,Simone Biscaglia,Iván J. Núñez-Gil,Toshiharu Fujii,Alessandro Durante,Xiantao Song,Tetsuma Kawaji,Dimitrios Alexopoulos,Zenon Huczek,José Ramón González Juanatey,Shaoping Nie,Masa-aki Kawashiri,Iacopo Colonnelli,Barbara Cantalupo,Roberto Esposito,Sergio Leonardi,Walter Grosso Marra,Alaide Chieffo,Umberto Michelucci,Dario Piga,Marta Malavolta,Sebastiano Gili,Marco G. Mennuni,Claudio Montalto,Luigi Oltrona Visconti,Yasir Arfat +71 more
TL;DR: In this article, a machine learning-based risk stratification model was developed to predict all-cause death, recurrent acute myocardial infarction, and major bleeding after acute coronary syndrome (ACS).
Proceedings ArticleDOI
OWL-WS: a workflow ontology for dynamic grid service composition
TL;DR: The need of a semantic workflow representation language emerged and was developed defining an OWLS extension able to support workflow description, which is being used for specifying adaptive business processes (policy) that are used as evaluation and binding mechanisms by a workflow enactment engine.
Journal ArticleDOI
The DataGrid Workload Management System: Challenges and Results
Giuseppe Avellino,S. Beco,Barbara Cantalupo,A. Maraschini,F. Pacini,M. Sottilaro,Annalisa Terracina,David Colling,Francesco Giacomini,Elisabetta Ronchieri,A. Gianelle,M. Mazzucato,Rosario Peluso,Massimo Sgaravatto,Andrea Guarise,Rosario M. Piro,A. E. Werbrouck,Daniel Kouřil,Aleš Křenek,Luděk Matyska,Miloš Mulač,Jan Pospíšil,Miroslav Ruda,Zdeněk Salvet,Jiří Sitera,Jiří Škrabal,Michal Voců,M. Mezzadri,Francesco Prelz,Salvatore Monforte,M. Pappalardo +30 more
TL;DR: The architecture and the functionality provided by the DataGrid Workload Management System are presented and it is shown that the system is able to take data access requirements into account when scheduling jobs to the available Grid resources.
Posted Content
The EU DataGrid Workload Management System: towards the second major release
Giuseppe Avellino,S. Barale,S. Beco,Barbara Cantalupo,David Colling,Francesco Giacomini,A. Gianelle,Andrea Guarise,Ales Krenek,Daniel Kouril,A. Maraschini,Ludek Matyska,M. Mezzadri,Salvatore Monforte,Miloš Mulač,F. Pacini,M. Pappalardo,Rosario Peluso,Jirí Pospísil,Francesco Prelz,Elisabetta Ronchieri,Miroslav Ruda,Livio Salconi,Zdenek Salvet,Massimo Sgaravatto,Jiri Sitera,Annalisa Terracina,Michal Vocu,A. E. Werbrouck +28 more
TL;DR: This revised and complemented workload management system is given, providing users with an environment allowing to define and submit jobs to the Grid, and able to find and use the ``best'' resources for these jobs.
Journal ArticleDOI
StreamFlow: cross-breeding cloud with HPC
TL;DR: This work presents a novel approach to workflow execution, called StreamFlow, that complements the workflow graph with the declarative description of potentially complex execution environments, and that makes it possible the execution onto multiple sites not sharing a common data space.