Publication:
Physics-guided variational graph autoencoder for air quality inference
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0003-4129-3295 | |
| cris.virtual.orcid | 0000-0001-9300-5860 | |
| cris.virtualsource.department | e8c396a0-cf75-4086-988d-01e9c63bd3c9 | |
| cris.virtualsource.department | 90f2bec3-f84d-4738-9103-ba2cd2f04cbc | |
| cris.virtualsource.orcid | e8c396a0-cf75-4086-988d-01e9c63bd3c9 | |
| cris.virtualsource.orcid | 90f2bec3-f84d-4738-9103-ba2cd2f04cbc | |
| dc.contributor.author | Rodrigo, Esther | |
| dc.contributor.author | Deligiannis, Nikolaos | |
| dc.date.accessioned | 2025-03-04T19:59:28Z | |
| dc.date.available | 2025-03-04T19:59:28Z | |
| dc.date.issued | 2024 | |
| dc.description.wosFundingText | This work was supported in part by the Research Foundation -Flanders (FWO) through the Ph.D. Fellowship Strategic Basic Research under Project 1SC4521N, in part by IMEC under the AAA Project AI-based Air Quality Map and Analytics and in part by the Flemish Government, under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme. | |
| dc.identifier.doi | 10.1109/ICASSP48485.2024.10448194 | |
| dc.identifier.eisbn | 979-8-3503-4485-1 | |
| dc.identifier.isbn | 979-8-3503-4486-8 | |
| dc.identifier.issn | 1520-6149 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/45290 | |
| dc.publisher | IEEE | |
| dc.source.beginpage | 6940 | |
| dc.source.conference | 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | |
| dc.source.conferencedate | 2024-04-14 | |
| dc.source.conferencelocation | Seoul | |
| dc.source.endpage | 6944 | |
| dc.source.numberofpages | 5 | |
| dc.title | Physics-guided variational graph autoencoder for air quality inference | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
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