Cargando…
Corrigendum: Applications and techniques for fast machine learning in science
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614289/ https://www.ncbi.nlm.nih.gov/pubmed/37908454 http://dx.doi.org/10.3389/fdata.2023.1301942 |
| _version_ | 1785128995969302528 |
|---|---|
| author | Deiana, Allison McCarn Tran, Nhan Agar, Joshua Blott, Michaela Di Guglielmo, Giuseppe Duarte, Javier Harris, Philip Hauck, Scott Liu, Mia Neubauer, Mark S. Ngadiuba, Jennifer Ogrenci-Memik, Seda Pierini, Maurizio Aarrestad, Thea Bähr, Steffen Becker, Jürgen Berthold, Anne-Sophie Bonventre, Richard J. Müller Bravo, Tomás E. Diefenthaler, Markus Dong, Zhen Fritzsche, Nick Gholami, Amir Govorkova, Ekaterina Guo, Dongning Hazelwood, Kyle J. Herwig, Christian Khan, Babar Kim, Sehoon Klijnsma, Thomas Liu, Yaling Lo, Kin Ho Nguyen, Tri Pezzullo, Gianantonio Rasoulinezhad, Seyedramin Rivera, Ryan A. Scholberg, Kate Selig, Justin Sen, Sougata Strukov, Dmitri Tang, William Thais, Savannah Unger, Kai Lukas Vilalta, Ricardo von Krosigk, Belina Wang, Shen Warburton, Thomas K. |
| author_facet | Deiana, Allison McCarn Tran, Nhan Agar, Joshua Blott, Michaela Di Guglielmo, Giuseppe Duarte, Javier Harris, Philip Hauck, Scott Liu, Mia Neubauer, Mark S. Ngadiuba, Jennifer Ogrenci-Memik, Seda Pierini, Maurizio Aarrestad, Thea Bähr, Steffen Becker, Jürgen Berthold, Anne-Sophie Bonventre, Richard J. Müller Bravo, Tomás E. Diefenthaler, Markus Dong, Zhen Fritzsche, Nick Gholami, Amir Govorkova, Ekaterina Guo, Dongning Hazelwood, Kyle J. Herwig, Christian Khan, Babar Kim, Sehoon Klijnsma, Thomas Liu, Yaling Lo, Kin Ho Nguyen, Tri Pezzullo, Gianantonio Rasoulinezhad, Seyedramin Rivera, Ryan A. Scholberg, Kate Selig, Justin Sen, Sougata Strukov, Dmitri Tang, William Thais, Savannah Unger, Kai Lukas Vilalta, Ricardo von Krosigk, Belina Wang, Shen Warburton, Thomas K. |
| author_sort | Deiana, Allison McCarn |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10614289 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-106142892023-10-31 Corrigendum: Applications and techniques for fast machine learning in science Deiana, Allison McCarn Tran, Nhan Agar, Joshua Blott, Michaela Di Guglielmo, Giuseppe Duarte, Javier Harris, Philip Hauck, Scott Liu, Mia Neubauer, Mark S. Ngadiuba, Jennifer Ogrenci-Memik, Seda Pierini, Maurizio Aarrestad, Thea Bähr, Steffen Becker, Jürgen Berthold, Anne-Sophie Bonventre, Richard J. Müller Bravo, Tomás E. Diefenthaler, Markus Dong, Zhen Fritzsche, Nick Gholami, Amir Govorkova, Ekaterina Guo, Dongning Hazelwood, Kyle J. Herwig, Christian Khan, Babar Kim, Sehoon Klijnsma, Thomas Liu, Yaling Lo, Kin Ho Nguyen, Tri Pezzullo, Gianantonio Rasoulinezhad, Seyedramin Rivera, Ryan A. Scholberg, Kate Selig, Justin Sen, Sougata Strukov, Dmitri Tang, William Thais, Savannah Unger, Kai Lukas Vilalta, Ricardo von Krosigk, Belina Wang, Shen Warburton, Thomas K. Front Big Data Big Data Frontiers Media S.A. 2023-10-16 /pmc/articles/PMC10614289/ /pubmed/37908454 http://dx.doi.org/10.3389/fdata.2023.1301942 Text en Copyright © 2023 Deiana, Tran, Agar, Blott, Di Guglielmo, Duarte, Harris, Hauck, Liu, Neubauer, Ngadiuba, Ogrenci-Memik, Pierini, Aarrestad, Bähr, Becker, Berthold, Bonventre, Müller Bravo, Diefenthaler, Dong, Fritzsche, Gholami, Govorkova, Guo, Hazelwood, Herwig, Khan, Kim, Klijnsma, Liu, Lo, Nguyen, Pezzullo, Rasoulinezhad, Rivera, Scholberg, Selig, Sen, Strukov, Tang, Thais, Unger, Vilalta, von Krosigk, Wang and Warburton. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Big Data Deiana, Allison McCarn Tran, Nhan Agar, Joshua Blott, Michaela Di Guglielmo, Giuseppe Duarte, Javier Harris, Philip Hauck, Scott Liu, Mia Neubauer, Mark S. Ngadiuba, Jennifer Ogrenci-Memik, Seda Pierini, Maurizio Aarrestad, Thea Bähr, Steffen Becker, Jürgen Berthold, Anne-Sophie Bonventre, Richard J. Müller Bravo, Tomás E. Diefenthaler, Markus Dong, Zhen Fritzsche, Nick Gholami, Amir Govorkova, Ekaterina Guo, Dongning Hazelwood, Kyle J. Herwig, Christian Khan, Babar Kim, Sehoon Klijnsma, Thomas Liu, Yaling Lo, Kin Ho Nguyen, Tri Pezzullo, Gianantonio Rasoulinezhad, Seyedramin Rivera, Ryan A. Scholberg, Kate Selig, Justin Sen, Sougata Strukov, Dmitri Tang, William Thais, Savannah Unger, Kai Lukas Vilalta, Ricardo von Krosigk, Belina Wang, Shen Warburton, Thomas K. Corrigendum: Applications and techniques for fast machine learning in science |
| title | Corrigendum: Applications and techniques for fast machine learning in science |
| title_full | Corrigendum: Applications and techniques for fast machine learning in science |
| title_fullStr | Corrigendum: Applications and techniques for fast machine learning in science |
| title_full_unstemmed | Corrigendum: Applications and techniques for fast machine learning in science |
| title_short | Corrigendum: Applications and techniques for fast machine learning in science |
| title_sort | corrigendum: applications and techniques for fast machine learning in science |
| topic | Big Data |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614289/ https://www.ncbi.nlm.nih.gov/pubmed/37908454 http://dx.doi.org/10.3389/fdata.2023.1301942 |
| work_keys_str_mv | AT deianaallisonmccarn corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT trannhan corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT agarjoshua corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT blottmichaela corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT diguglielmogiuseppe corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT duartejavier corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT harrisphilip corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT hauckscott corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT liumia corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT neubauermarks corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT ngadiubajennifer corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT ogrencimemikseda corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT pierinimaurizio corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT aarrestadthea corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT bahrsteffen corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT beckerjurgen corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT bertholdannesophie corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT bonventrerichardj corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT mullerbravotomase corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT diefenthalermarkus corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT dongzhen corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT fritzschenick corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT gholamiamir corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT govorkovaekaterina corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT guodongning corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT hazelwoodkylej corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT herwigchristian corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT khanbabar corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT kimsehoon corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT klijnsmathomas corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT liuyaling corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT lokinho corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT nguyentri corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT pezzullogianantonio corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT rasoulinezhadseyedramin corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT riveraryana corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT scholbergkate corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT seligjustin corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT sensougata corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT strukovdmitri corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT tangwilliam corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT thaissavannah corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT ungerkailukas corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT vilaltaricardo corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT vonkrosigkbelina corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT wangshen corrigendumapplicationsandtechniquesforfastmachinelearninginscience AT warburtonthomask corrigendumapplicationsandtechniquesforfastmachinelearninginscience |