Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Noble Kennamer"'
Autor:
Michele Delli Veneri, Rafael S. de Souza, Alberto Krone-Martins, E. E. O. Ishida, M. L. L. Dantas, Noble Kennamer
Publikováno v:
Res.Notes AAS
Res.Notes AAS, 2022, 6 (6), pp.113. ⟨10.3847/2515-5172/ac74c7⟩
Res.Notes AAS, 2022, 6 (6), pp.113. ⟨10.3847/2515-5172/ac74c7⟩
We present a citation pattern analysis between astronomical papers and 13 other disciplines, based on the arXiv database over the past decade ($2010 - 2020$). We analyze 12,600 astronomical papers citing over 14,531 unique publications outside astron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::851a642549e1f856105108162eab94c0
https://hal.science/hal-03689731
https://hal.science/hal-03689731
Autor:
Rafael S. de Souza, Emille E. O. Ishida, Anais Möller, M. Dai, Sreevarsha Sreejith, Alex I. Malz, K. A. Ponder, Alexander T. Ihler, Santiago González-Gaitán, Ricardo Vilalta, Alberto Krone-Martins, D. O. Jones, Lluís Galbany, Noble Kennamer, Bruno Quint
Publikováno v:
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
2020 IEEE Symposium Series on Computational Intelligence
2020 IEEE Symposium Series on Computational Intelligence, Dec 2020, Canberra, Australia. pp.3115-3124
SSCI
2020 IEEE Symposium Series on Computational Intelligence
2020 IEEE Symposium Series on Computational Intelligence, Dec 2020, Canberra, Australia. pp.3115-3124
SSCI
The recent increase in volume and complexity of available astronomical data has led to a wide use of supervised machine learning techniques. Active learning strategies have been proposed as an alternative to optimize the distribution of scarce labeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b1f21f782e2db50284581d688b3609
https://hal.science/hal-03355881
https://hal.science/hal-03355881
Autor:
R. S. de Souza, E. Gangler, A. A. Mahabal, Noble Kennamer, Róbert Beck, Emille E. O. Ishida, J. M. Burgess, Bruno Quint, Santiago González-Gaitán, Alberto Krone-Martins, Ricardo Vilalta, Jim W. Barrett, A. Z. Vitorelli
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
Monthly Notices of the Royal Astronomical Society, 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
Monthly Notices of the Royal Astronomical Society, 2019, 483 (1), pp.2-18. ⟨10.1093/mnras/sty3015⟩
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy accounts for the unavoidable mismatch between spectroscopic and photometric samples, and can be used even in the beginning of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45d4379e4e97564dbcf624a5bf45ddfd
https://hal.archives-ouvertes.fr/hal-01781915
https://hal.archives-ouvertes.fr/hal-01781915