Europlanet machine learning working group: A year of progress
| dc.authorid | 0000-0002-8068-7695 | |
| dc.authorid | 0000-0002-7401-1509 | |
| dc.authorid | 0000-0002-7538-6265 | |
| dc.authorid | 0000-0002-2178-521X | |
| dc.authorid | 0000-0002-3076-164X | |
| dc.authorid | 0000-0001-8264-8668 | |
| dc.authorid | 0000-0003-2786-0740 | |
| dc.authorid | 0000-0002-5356-6433 | |
| dc.authorid | 0000-0001-9325-6889 | |
| dc.contributor.author | Ivanovski, Stavro Lambrov | |
| dc.contributor.author | Verma, Nimisha | |
| dc.contributor.author | Hatipoğlu, Güray | |
| dc.contributor.author | Angrisani, Marianna | |
| dc.contributor.author | Solmaz, Arif | |
| dc.contributor.author | Smirnov, Evgeny | |
| dc.contributor.author | Carruba, Valerio | |
| dc.contributor.author | Kacholia, Devanshi | |
| dc.contributor.author | Oszkiewicz, Dagmara | |
| dc.contributor.author | D'Amore, Mario | |
| dc.date.accessioned | 2025-11-13T08:48:49Z | |
| dc.date.available | 2025-11-13T08:48:49Z | |
| dc.date.issued | 2025 | |
| dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü | |
| dc.description.abstract | The rapid advances in machine learning (ML) present unprecedented opportunities for planetary science. We have established a dedicated working group (WG) focused on the application of ML in this field to harness these technological advancements, address complex scientific questions, and enhance our understanding of planetary systems. The Europlanet Machine Learning Working Group held its kick-off meeting during the EPSC 2024 in Berlin, September 2024. The discussion focused on launching the group for exchanging ideas and opportunities with people within and outside of Europlanet’s membership for the first year of its launch. Some of the main goals established were to create a knowledge-sharing platform for members to share their research and invite collaboration, form sub-groups within the WG to expand on current research focus, and foster new collaborative research opportunities within or outside of Europlanet with new funding. | |
| dc.identifier.citation | Ivanovski, S. L., Verma, N., Hatipoğlu, Y., Angrisani, M., Solmaz, A., Smirnov, E., Carruba, V., Kacholia, D., Oszkiewicz, D., & D'Amore, M. (2025). Europlanet machine learning working group: A year of progress, EPSC-DPS Joint Meeting 2025, https://doi.org/10.5194/epsc-dps2025-1815 | |
| dc.identifier.doi | 10.5194/epsc-dps2025-1815 | |
| dc.identifier.uri | https://doi.org/10.5194/epsc-dps2025-1815 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.13055/1186 | |
| dc.identifier.volume | 18 | |
| dc.institutionauthor | Solmaz, Arif | |
| dc.institutionauthorid | 0000-0002-3076-164X | |
| dc.language.iso | en | |
| dc.publisher | Euro Planet | |
| dc.relation.ispartof | EPSC-DPS Joint Meeting 2025 | |
| dc.relation.publicationcategory | Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Europlanet machine learning working group: A year of progress | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication |












