Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments.
- DOI
- 10.1021/acs.jcim.2c01362
- Published
- 2023 Jan 9
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.2c01362,
title = {Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments.},
author = {Kaspi O and Israelsohn-Azulay O and Yigal Z and Rosengarten H and Krmpotić M and Gouasmia S and Bogdanović Radović I and Jalkanen P and Liski A and Mizohata K and Räisänen J and Kasztovszky Z and Harsányi I and Acharya R and Pujari PK and Mihály M and Braun M and Shabi N and Girshevitz O and Senderowitz H},
year = {2023},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.2c01362},
url = {https://doi.org/10.1021/acs.jcim.2c01362}
}RIS
TY - JOUR TI - Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments. AU - Kaspi O AU - Israelsohn-Azulay O AU - Yigal Z AU - Rosengarten H AU - Krmpotić M AU - Gouasmia S AU - Bogdanović Radović I AU - Jalkanen P AU - Liski A AU - Mizohata K AU - Räisänen J AU - Kasztovszky Z AU - Harsányi I AU - Acharya R AU - Pujari PK AU - Mihály M AU - Braun M AU - Shabi N AU - Girshevitz O AU - Senderowitz H PY - 2023 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.2c01362 UR - https://doi.org/10.1021/acs.jcim.2c01362 ER -
APA
O, K., O, I., Z, Y., H, R., M, K., S, G., I, B. R., P, J., A, L., K, M., J, R., Z, K., I, H., R, A., PK, P., M, M., M, B., N, S., O, G., & H, S. (2023). Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.2c01362
Source records
- pubmed · retrieved 2026-11-10T18:11:22.864Z