Publication:
Plotly-Resampler: Effective Visual Analytics for Large Time Series
| dc.contributor.author | Van der Donckt, Jonas | |
| dc.contributor.author | Van der Donckt, Jeroen | |
| dc.contributor.author | Deprost, Emiel | |
| dc.contributor.author | Van Hoecke, Sofie | |
| dc.contributor.imecauthor | Van der Donckt, Jonas | |
| dc.contributor.imecauthor | Van der Donckt, Jeroen | |
| dc.contributor.imecauthor | Deprost, Emiel | |
| dc.contributor.imecauthor | Van Hoecke, Sofie | |
| dc.contributor.orcidimec | Van Der Donckt, Jonas::0000-0003-1440-7410 | |
| dc.contributor.orcidimec | Deprost, Emiel::0000-0001-5323-5506 | |
| dc.contributor.orcidimec | Van Hoecke, Sofie::0000-0002-7865-6793 | |
| dc.date.accessioned | 2023-06-08T09:38:20Z | |
| dc.date.available | 2023-02-09T03:20:55Z | |
| dc.date.available | 2023-02-09T11:23:18Z | |
| dc.date.available | 2023-06-08T09:38:20Z | |
| dc.date.embargo | 9999-12-31 | |
| dc.date.issued | 2022 | |
| dc.description.wosFundingText | Jonas Van Der Donckt (1S56322N) and Emiel Deprost (1SA4321N) are funded by a doctoral fellowship of the Research Foundation -Flanders (FWO). Part of this work is done in the scope of the imec.AAA Context-aware health monitoring project. We thank Michael Rademaker for reviewing the manuscript. | |
| dc.identifier.doi | 10.1109/VIS54862.2022.00013 | |
| dc.identifier.eisbn | 978-1-6654-8812-9 | |
| dc.identifier.issn | 2771-9537 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41071 | |
| dc.publisher | IEEE COMPUTER SOC | |
| dc.source.beginpage | 21 | |
| dc.source.conference | IEEE Visualization Conference (VIS) | |
| dc.source.conferencedate | OCT 16-21, 2022 | |
| dc.source.conferencelocation | Oklahoma City | |
| dc.source.endpage | 25 | |
| dc.source.journal | / | |
| dc.source.numberofpages | 5 | |
| dc.subject.keywords | VISUALIZATION | |
| dc.title | Plotly-Resampler: Effective Visual Analytics for Large Time Series | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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