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Chaushev, Alexander and Eigmüller, Philipp and NGTS, Consortium (2019) Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey. Artificial Intelligence in Astronomy, Germany.
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| Item URL in elib: | https://elib.dlr.de/131765/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey | ||||||||||||
| Authors: |
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| Date: | July 2019 | ||||||||||||
| Refereed publication: | No | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Mchine Learning, Exoplanets, Transiting Exoplanets | ||||||||||||
| Event Title: | Artificial Intelligence in Astronomy | ||||||||||||
| Event Location: | Germany | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Organizer: | ESO | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Space Exploration | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R EW - Space Exploration | ||||||||||||
| DLR - Research theme (Project): | R - Project PLATO (old) | ||||||||||||
| Location: | Berlin-Adlershof | ||||||||||||
| Institutes and Institutions: | Institute of Planetary Research > Extrasolar Planets and Atmospheres | ||||||||||||
| Deposited By: | Eigmüller, Dr. Philipp | ||||||||||||
| Deposited On: | 02 Dec 2019 09:51 | ||||||||||||
| Last Modified: | 02 Dec 2019 09:51 |
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