Zobrazeno 1 - 10
of 12 299
pro vyhledávání: '"M. Atlas"'
Autor:
Potts, D. T.
Publikováno v:
Paléorient, 2021 Jan 01. 47(1), 202-204.
Externí odkaz:
https://www.jstor.org/stable/27200818
Autor:
Ashour, Hossam M.
Publikováno v:
Clinical Infectious Diseases, 2014 Nov . 59(10), 1510-1510.
Externí odkaz:
http://dx.doi.org/10.1093/cid/ciu625
Publikováno v:
ISTI Technical reports, 2016
In the last years the researchers at KDD Lab have used the M-Atlas system for their mobility data analyses and contributed to expand the M-Atlas functions and features. After so much time, the original design of M-Atlas needed to be reviewed in order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e643c3950c81a4cee3cabf7fe8949627
http://www.cnr.it/prodotto/i/355089
http://www.cnr.it/prodotto/i/355089
Autor:
Romano V., Trasarti R.
Publikováno v:
ISTI Technical reports, 2015
M-Atlas is an analytical platform for spatio-temporal data using data mining algorithms developed in the KDD Lab. After the first release in 2008, it has been used in several industrial and research projects and it has been in its functions and featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::829c5a5bb7256e18081509a87ac337a0
https://openportal.isti.cnr.it/doc?id=people______::829c5a5bb7256e18081509a87ac337a0
https://openportal.isti.cnr.it/doc?id=people______::829c5a5bb7256e18081509a87ac337a0
Conference
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Autor:
Christofi, Nick
Publikováno v:
The Quarterly Review of Biology, 2005 Dec . 80(4), 496-496.
Externí odkaz:
https://www.jstor.org/stable/10.1086/501307
Autor:
Glen Atlas, Sunil K. Dhar
Publikováno v:
Journal of Pharmaceutical Sciences. 95:810-820
Propofol is commonly administered, as a single bolus dose, for the induction of general anesthesia. The purpose of this study was to mathematically assess the ability to model propofol induction-dose serum levels with a recursive finite difference eq
Autor:
Kevin J. Olival
Publikováno v:
The Quarterly Review of Biology. 91:357-358
Autor:
Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti, Roberto Trasarti, Fabio Pinelli, Anna Monreale, Chiara Renso, Mirco Nanni
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642159381
ECML/PKDD (3)
ECML PKDD 2010-Machine Learning and Knowledge Discovery in Databases. European Conference, pp. 624–627, Barcelona, Spain, 20-24 September 2010
info:cnr-pdr/source/autori:Trasarti R.; Rinzivillo S.; Pinelli F.; Nanni M.; Monreale A.; Renso C.; Pedreschi D.; Giannotti F./congresso_nome:ECML PKDD 2010-Machine Learning and Knowledge Discovery in Databases. European Conference/congresso_luogo:Barcelona, Spain/congresso_data:20-24 September 2010/anno:2010/pagina_da:624/pagina_a:627/intervallo_pagine:624–627
ECML/PKDD (3)
ECML PKDD 2010-Machine Learning and Knowledge Discovery in Databases. European Conference, pp. 624–627, Barcelona, Spain, 20-24 September 2010
info:cnr-pdr/source/autori:Trasarti R.; Rinzivillo S.; Pinelli F.; Nanni M.; Monreale A.; Renso C.; Pedreschi D.; Giannotti F./congresso_nome:ECML PKDD 2010-Machine Learning and Knowledge Discovery in Databases. European Conference/congresso_luogo:Barcelona, Spain/congresso_data:20-24 September 2010/anno:2010/pagina_da:624/pagina_a:627/intervallo_pagine:624–627
Research on moving-object data analysis has been recently fostered by the widespread diffusion of new techniques and systems for monitoring, collecting and storing loca- tion aware data, generated by a wealth of technological infrastructures, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e467f9c4961e649c076618f14657df4f
https://doi.org/10.1007/978-3-642-15939-8_48
https://doi.org/10.1007/978-3-642-15939-8_48
Publikováno v:
ISTI Technical reports, 2011
In this technical report we illustrate the types managed by the M-Atlas system and the operators defined among them. Due to the complexity of spatio-temporal data, models and patterns, the system is be based on a rich formalism, capable to representi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b1fc8bdf094d567a64a503e7e4decc79
https://publications.cnr.it/doc/207056
https://publications.cnr.it/doc/207056