Forschungsartikel (Zeitschrift)
Beck, R., Lin, C., Ishida, E., Gieseke, F., Souza, R., Costa-Duarte, M., Hattab, M., & Krone-Martins, A. (2017). On the realistic validation of photometric redshifts. Monthly Notices of the Royal Astronomical Society (MNRAS), 468(4), 4323–4339.
More details BibTeX DOI
@article{BeckLIGSCDHKM2017OnTheRealistic,
author = {R Beck and CA Lin and EO Ishida and F Gieseke and RS Souza and MV Costa-Duarte and MW Hattab and A Krone-Martins},
title = {On the realistic validation of photometric redshifts},
journal = {Monthly Notices of the Royal Astronomical Society (MNRAS)},
year = {2017},
volume = {468},
number = {4},
pages = {4323--4339},
doi = {10.1093/mnras/stx687},
note = {Publication status: Published}
}
Gieseke, F., Bloemen, S., Bogaard, C., Heskes, T., Kindler, J., Scalzo, R., Ribeiro, V., Roestel, J., Groot, P., Yuan, F., Möller, A., & Tucker, B. (2017). Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys. Monthly Notices of the Royal Astronomical Society (MNRAS), 472(3), 3101–3114.
More details BibTeX DOI
@article{GiesekeBBHKSRRGYMT2017Convolutional,
author = {F Gieseke and S Bloemen and C Bogaard and T Heskes and J Kindler and RA Scalzo and VA Ribeiro and J Roestel and PJ Groot and F Yuan and A Möller and BE Tucker},
title = {Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys},
journal = {Monthly Notices of the Royal Astronomical Society (MNRAS)},
year = {2017},
volume = {472},
number = {3},
pages = {3101--3114},
doi = {10.1093/mnras/stx2161},
note = {Publication status: Published}
}
Gieseke, F., Oancea, C., & Igel, C. (2017). bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices. Knowledge Based Systems, 120, 1–3.
More details BibTeX Full text DOI
@article{GiesekeOI2017Bufferkdtree,
author = {F Gieseke and CE Oancea and C Igel},
title = {bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices},
journal = {Knowledge Based Systems},
year = {2017},
volume = {120},
pages = {1--3},
doi = {10.1016/j.knosys.2017.01.002},
url = {https://doi.org/10.1016/j.knosys.2017.01.002},
note = {Publication status: Published}
}
Kremer, J., Stensbo-Smidt, K., Gieseke, F., Pedersen, K., & Igel, C. (2017). Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. IEEE Intelligent Systems, 32(2), 16–22.
More details BibTeX Full text DOI
@article{KremerSSGPI2017BigUniverse,
author = {J Kremer and K Stensbo-Smidt and F Gieseke and KS Pedersen and C Igel},
title = {Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy},
journal = {IEEE Intelligent Systems},
year = {2017},
volume = {32},
number = {2},
pages = {16--22},
doi = {10.1109/MIS.2017.40},
url = {https://doi.org/10.1109/MIS.2017.40},
note = {Publication status: Published}
}
Souza, R., Dantas, M., Costa-Duarte, M., Feigelson, E., Killedar, M., Lablanche, P., Vilalta, R., Krone-Martins, A., Beck, R., & Gieseke, F. (2017). A probabilistic approach to emission-line galaxy classification. Monthly Notices of the Royal Astronomical Society (MNRAS), 472(3).
More details BibTeX DOI
@article{SouzaDCDFKLVKMBG2017AProbabilistic,
author = {RS Souza and MLL Dantas and MV Costa-Duarte and ED Feigelson and M Killedar and P Lablanche and R Vilalta and A Krone-Martins and R Beck and F Gieseke},
title = {A probabilistic approach to emission-line galaxy classification},
journal = {Monthly Notices of the Royal Astronomical Society (MNRAS)},
year = {2017},
volume = {472},
number = {3},
doi = {10.1093/mnras/stx2156},
note = {Publication status: Published}
}
Stensbo-Smidt, K., Gieseke, F., Zirm, A., Pedersen, K., & Igel, C. (2017). Sacrificing information for the greater good: how to select photometric bands for optimal accuracy. Monthly Notices of the Royal Astronomical Society (MNRAS), 464(3), 2577–2596.
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@article{StensboSmidtGZPI2017Sacrificing,
author = {K Stensbo-Smidt and F Gieseke and A Zirm and KS Pedersen and C Igel},
title = {Sacrificing information for the greater good: how to select photometric bands for optimal accuracy},
journal = {Monthly Notices of the Royal Astronomical Society (MNRAS)},
year = {2017},
volume = {464},
number = {3},
pages = {2577--2596},
doi = {10.1093/mnras/stw2476},
note = {Publication status: Published}
}