The Tracking Machine Learning Challenge: Accuracy Phase

Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Victor Estrade, Steven Farrell, Diogo R. Ferreira, Liam Finnie, Nicole Finnie, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Edward Moyse, Jean-François Puget, Yuval Reina, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant, Johan Sokrates Wind, Trian Xylouris, Yetkin Yilmaz

Open source

DOI
10.1007/978-3-030-29135-8_9
Published
2019-11-30
Container
The Springer Series on Challenges in Machine Learning
Publisher
Springer International Publishing
Open access
unknown

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BibTeX

@article{allodium:10.1007/978-3-030-29135-8_9,
  title = {The Tracking Machine Learning Challenge: Accuracy Phase},
  author = {Sabrina Amrouche and Laurent Basara and Paolo Calafiura and Victor Estrade and Steven Farrell and Diogo R. Ferreira and Liam Finnie and Nicole Finnie and Cécile Germain and Vladimir Vava Gligorov and Tobias Golling and Sergey Gorbunov and Heather Gray and Isabelle Guyon and Mikhail Hushchyn and Vincenzo Innocente and Moritz Kiehn and Edward Moyse and Jean-François Puget and Yuval Reina and David Rousseau and Andreas Salzburger and Andrey Ustyuzhanin and Jean-Roch Vlimant and Johan Sokrates Wind and Trian Xylouris and Yetkin Yilmaz},
  year = {2019},
  journal = {The Springer Series on Challenges in Machine Learning},
  doi = {10.1007/978-3-030-29135-8_9},
  url = {https://doi.org/10.1007/978-3-030-29135-8_9}
}

RIS

TY  - JOUR
TI  - The Tracking Machine Learning Challenge: Accuracy Phase
AU  - Sabrina Amrouche
AU  - Laurent Basara
AU  - Paolo Calafiura
AU  - Victor Estrade
AU  - Steven Farrell
AU  - Diogo R. Ferreira
AU  - Liam Finnie
AU  - Nicole Finnie
AU  - Cécile Germain
AU  - Vladimir Vava Gligorov
AU  - Tobias Golling
AU  - Sergey Gorbunov
AU  - Heather Gray
AU  - Isabelle Guyon
AU  - Mikhail Hushchyn
AU  - Vincenzo Innocente
AU  - Moritz Kiehn
AU  - Edward Moyse
AU  - Jean-François Puget
AU  - Yuval Reina
AU  - David Rousseau
AU  - Andreas Salzburger
AU  - Andrey Ustyuzhanin
AU  - Jean-Roch Vlimant
AU  - Johan Sokrates Wind
AU  - Trian Xylouris
AU  - Yetkin Yilmaz
PY  - 2019
JO  - The Springer Series on Challenges in Machine Learning
DO  - 10.1007/978-3-030-29135-8_9
UR  - https://doi.org/10.1007/978-3-030-29135-8_9
ER  - 

APA

Amrouche, S., Basara, L., Calafiura, P., Estrade, V., Farrell, S., Ferreira, D. R., Finnie, L., Finnie, N., Germain, C., Gligorov, V. V., Golling, T., Gorbunov, S., Gray, H., Guyon, I., Hushchyn, M., Innocente, V., Kiehn, M., Moyse, E., Puget, J., Reina, Y., Rousseau, D., Salzburger, A., Ustyuzhanin, A., Vlimant, J., Wind, J. S., Xylouris, T., & Yilmaz, Y. (2019). The Tracking Machine Learning Challenge: Accuracy Phase. The Springer Series on Challenges in Machine Learning. https://doi.org/10.1007/978-3-030-29135-8_9

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