Our paper “Whois? Deep Author Name Disambiguation using Bibliographic Data” won the best paper award at TPDL2022
Are you a researcher with a common name like @phonedude_mln? @ZBoukhers presented Whois?, a model to disambiguate author names based on bibliographic data. https://t.co/6gLOFs9r8s#TPDL2022 pic.twitter.com/p06ij1bfWE— Emily Escamilla (@EmilyEscamilla_) September 21, 2022
Attending the roadmap meeting of the FAIR-DS project in Karlsruhe.
At #FAIRDataSpaces we're working on linking science & industry by creating a common data space. After many ? meetings, some of us had the chance to meet IRL today. We discussed the current status & upcoming action items. Onto an exciting 2nd year! Thx to #NFDI for the premises? pic.twitter.com/3sNSVfHIZe— FAIR Data Spaces (@FAIRDataSpaces) September 16, 2022