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Sahlin Ullrika_MasterPaper.qxd
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Document Date: 2013-06-27 14:14:40


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File Size: 611,07 KB

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City

Helsinki / Kalmar / /

Country

Sweden / Finland / /

/

Facility

Linnaeus University / Lund University / /

IndustryTerm

chemical domain / chemical safety assessments / unambiguous modelling algorithm / open access software / chemical class / supervised learning algorithm / chemical properties / query chemical falls / chemical risk management / relative comparisons between alternative algorithms / unambiguous algorithm / chemical activity / chemical / supervised learning algorithms / chemical safety assessment / unambiguous algorithms / chemical structure / e.g. chemicals fragments / chemicals / unambiguous and evaluated algorithm / chemical regulation / learning algorithm / chemical structures / query chemical / environmental systems / /

Organization

European Chemicals Agency / African Union / Linnaeus University / European Union / European Parliament / Centre of Environmental and Climate Research / QSAR Predictions Ullrika Sahlin School of Natural Sciences / Lund University / Centre for Environmental and Climate Research / OECD / /

Person

Johan Lindström / Tomas Öberg / James E. Blevins / Igor Tetko / Tom Aldenberg / Nina Jeliazkova / /

Position

compounds representative / Walker / Acknowledgements The author / representative / /

Technology

unambiguous modelling algorithm / QSAR algorithm / supervised learning algorithms / supervised learning algorithm / unambiguous algorithm / 14 Algorithm / QSAR algorithms / unambiguous and evaluated algorithm / /

URL

www.cadaster.eu / /

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