Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Danielle Ziébelin"'
Autor:
Sandrine Anquetin, Nicolas Buclet, Sandra Lavorel, Céline Lutoff, Emmanuelle George, Wilfried Thuiller, Danielle Ziébelin, Clémentine Prieur, Bruno Wilhelm, Fabien Arnaud, Björn Reineking, Pierre Judet
Publikováno v:
European Geosciences Union
European Geosciences Union, Apr 2018, Vienna, Austria
International Long Term ecological Research Network
International Long Term ecological Research Network, Oct 2017, Nantes, France
HAL
European Geosciences Union, Apr 2018, Vienna, Austria
International Long Term ecological Research Network
International Long Term ecological Research Network, Oct 2017, Nantes, France
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b1c4c11c7bb682b9239407b95906fa17
https://hal.science/hal-02064584
https://hal.science/hal-02064584
Publikováno v:
Comptes Rendus Biologies. 325:375-382
In this paper, we present a multi-agent framework for data mining in electromyography. This application, based on a web interface, provides a set of functionalities allowing to manipulate 1000 medical cases and more than 25,000 neurological tests sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f59fffbd9e2c616c655a47857a547c7
https://doi.org/10.1016/s1631-0691(02)01434-8
https://doi.org/10.1016/s1631-0691(02)01434-8
Autor:
Alina Dia Miron, Cécile Capponi, Jérôme Gensel, Marlène Villanova-Oliver, Danielle Ziébelin, Philippe Genoud
Publikováno v:
Langages et Modèles à Objets (LMO) 2007
Langages et Modèles à Objets (LMO) 2007, Mar 2007, Toulouse, France
HAL
Langages et Modèles à Objets (LMO) 2007, Mar 2007, Toulouse, France
HAL
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::89e39acb3bb1adec78c3c0635b2564ee
https://hal.archives-ouvertes.fr/hal-01220244
https://hal.archives-ouvertes.fr/hal-01220244
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 7, Iss 1, p 450 (2006)
BMC Bioinformatics, Vol 7, Iss 1, p 450 (2006)
BackgroundGenome annotation can be viewed as an incremental, cooperative, data-driven, knowledge-based process that involves multiple methods to predict gene locations and structures. This process might have to be executed more than once and might be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25840df30815557c782c4086c2d31246
https://pubmed.ncbi.nlm.nih.gov/17038181
https://pubmed.ncbi.nlm.nih.gov/17038181
Publikováno v:
Langages et Modèles à Objets (LMO) 2006
Langages et Modèles à Objets (LMO) 2006, Mar 2006, Nîmes, France
HAL
Langages et Modèles à Objets (LMO) 2006, Mar 2006, Nîmes, France
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8e7e6b20f8071555f21caf7ff4828c47
https://hal.archives-ouvertes.fr/hal-01220247
https://hal.archives-ouvertes.fr/hal-01220247
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540422945
AIME
AIME
A multi-agent framework for data mining in EMG is presented. This application based on a Web interface provides a set of functionnalities allowing to manipulate one thousand medical cases and more than twenty five thousands neurological tests stored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46182ff93195bbd305f9644b6a2e8fb7
https://doi.org/10.1007/3-540-48229-6_57
https://doi.org/10.1007/3-540-48229-6_57
Autor:
Philippe Genoud, Véronique Dupierris, Michel Page, Christophe Bruley, Danielle Ziébelin, Jérôme Gensel, Daniel Bardou
Publikováno v:
Workshop Application of Advanced Information Technologies to Medecine (AAITM), AIMSA 2000
Workshop Application of Advanced Information Technologies to Medecine (AAITM), AIMSA 2000, Sep 2000, Varna, Bulgaria
HAL
Workshop Application of Advanced Information Technologies to Medecine (AAITM), AIMSA 2000, Sep 2000, Varna, Bulgaria
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3bfdf8692efb241325f283a5da3a84d8
https://hal.archives-ouvertes.fr/hal-03140724
https://hal.archives-ouvertes.fr/hal-03140724
Autor:
Thibault Parmentier, Danielle Ziébelin
Publikováno v:
Knowledge Acquisition, Modeling and Management ISBN: 9783540660446
EKAW
EKAW
Genomic sequence analysis is a task using techniques coming from different fields in order to extract biologically relevant objects (genes, regulatory signals...) from rough DNA sequences. Analysis methods, coming from domains like statistics, sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78fbbf0f671478ec8d3daceca7a48fa6
https://doi.org/10.1007/3-540-48775-1_15
https://doi.org/10.1007/3-540-48775-1_15
Autor:
Danielle Ziébelin, Annick Labarre-Vila
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540627098
AIME
AIME
To help the novice practitioners and cope with the complexity of the EMG test procedure elaboration, we developped MYOSYS, an hierarchical planning environment. Building an EMG knowledge base consists in formalizing and structuring medical concepts a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a63585f42ab02c3b89ac70c973eac7d4
https://doi.org/10.1007/bfb0029467
https://doi.org/10.1007/bfb0029467
Publikováno v:
The Knowledge Engineering Review. 1:18-29
The purpose of this paper is to evaluate and compare three of the most powerful expert system tools available: KEE from Intellicorp, Knowledge Craft from The Carnegie Group Inc., and ART from Inference Corporation.These three tools are industrial dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973ae76e0d37b2d654929847ea606252
https://doi.org/10.1017/s0269888900000631
https://doi.org/10.1017/s0269888900000631