Feature selection and polydispersity characterization for QSPR modelling: Predicting a tensile property

Research output: Book/Report › Book › peer-review

3 Scopus citations

Name	Advances in Intelligent Systems and Computing

Access to Document

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title = "Feature selection and polydispersity characterization for QSPR modelling: Predicting a tensile property",

author = "F. Cravero and S. Schustik and M.J. Mart{\'i}nez and C.D. Barranco and M.F. D{\'i}az and I. Ponzoni",

year = "2019",

month = jun,

day = "6",

doi = "10.1007/978-3-319-98702-6\_6",

language = "Ingl{\'e}s",

isbn = "978-3-319-98701-9",

series = "Advances in Intelligent Systems and Computing",

}

TY - BOOK

T1 - Feature selection and polydispersity characterization for QSPR modelling: Predicting a tensile property

AU - Cravero, F.

AU - Schustik, S.

AU - Martínez, M.J.

AU - Barranco, C.D.

AU - Díaz, M.F.

AU - Ponzoni, I.

PY - 2019/6/6

Y1 - 2019/6/6

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85052964949&partnerID=MN8TOARS

U2 - 10.1007/978-3-319-98702-6_6

DO - 10.1007/978-3-319-98702-6_6

M3 - Libro

SN - 978-3-319-98701-9

T3 - Advances in Intelligent Systems and Computing

BT - Feature selection and polydispersity characterization for QSPR modelling: Predicting a tensile property

ER -