Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments-Reference-Cited by-同舟云学术

Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments

Published:2022-12-13 Issue:1 Volume:63 Page:87-100
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kaspi Omer¹,Israelsohn-Azulay Osnat²,Yigal Zidon²,Rosengarten Hila²,Krmpotić Matea³^ORCID,Gouasmia Sabrina³,Bogdanović Radović Iva³^ORCID,Jalkanen Pasi⁴,Liski Anna⁴,Mizohata Kenichiro⁴,Räisänen Jyrki⁴,Kasztovszky Zsolt⁵,Harsányi Ildikó⁵,Acharya Raghunath⁶,Pujari Pradeep K.⁶^ORCID,Mihály Molnár⁷,Braun Mihaly⁸,Shabi Nahum⁹,Girshevitz Olga⁹,Senderowitz Hanoch¹^ORCID

Affiliation:

1. Department of Chemistry, Bar-Ilan University, Ramat-Gan5290002, Israel

2. Toolmarks and Materials Lab, Israel Police HQ, Jerusalem9720045, Israel

3. Laboratory for Ion Beam Interactions, Division of Experimental Physics, Rud̵er Bošković Institute, Bijenička cesta 54, ZagrebHR-10000, Croatia

4. Department of Physics, University of Helsinki, P.O. Box 43, HelsinkiFI-00014, Finland

5. Centre for Energy Research, Konkoly-Thege Miklós út 29-33, Budapest1121, Hungary

6. Radiochemistry Division, BARC, Trombay, Mumbai400085, India

7. International Radiocarbon AMS Competence and Training Center, ATOMKI, Debrecen4026, Hungary

8. Laboratory of Climatology and Environmental Physics (ICER), ATOMKI, Debrecen4026, Hungary

9. Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan5290002, Israel

Funder

International Atomic Energy Agency

Data Science Institute Bar Ilan

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01362

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