Attending the first consortial meeting of NFDI4DataScience
At our first @nfdi4ds consortial meeting. https://t.co/nYxF9p3noC
— Zeyd Boukhers (@ZBoukhers) December 16, 2022
At our first @nfdi4ds consortial meeting. https://t.co/nYxF9p3noC
— Zeyd Boukhers (@ZBoukhers) December 16, 2022
#Science and #Business need each other and both need #Data. A data-driven ecosystem needs Data Sovereignty. In @FAIRDataSpaces, we understand the importance of sovereignty in a data exchange infrastructure that links science, business and society together. https://t.co/mRHG2ltEAj
— Zeyd Boukhers (@ZBoukhers) November 19, 2022
In @nfdi4ds, we aim to employ #FDO to make a data-driven ecosystem #FAIR. That is what I was discussing in the panel session at #FDO2022 #DataScience #Artificial_Intelligence #FAIRdata #OpenScience https://t.co/JofcGv2k6s
— Zeyd Boukhers (@ZBoukhers) October 28, 2022
Our paper “Whois? Deep Author Name Disambiguation using Bibliographic Data” won the best paper award at TPDL2022
Thank you @tpdl2022 & #Springer for the award!
— Zeyd Boukhers (@ZBoukhers) September 21, 2022
Thank you @ocorcho @paolomanghi @giansilv for the organization and warm welcome at @UniPadova #Padua https://t.co/gkvcJih1V5 pic.twitter.com/bwUxbclLp9
Paper: https://doi.org/10.1007/978-3-031-16802-4_16
Slides: https://doi.org/10.5281/zenodo.7105499
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
Attending the meeting of the steering committee of the Gaia-X Hub Germany At the Federal Ministry for Economic Affairs and Climate Action (BMWK)
Our paper Zeyd Boukhers, Timo Hartmann, Jan Jürjens: “COIN: Counterfactual Image Generation for Visual Question Answering Interpretation” has been accepted by Sensors
Our paper Zeyd Boukhers, Nada Beili, Timo Hartmann, Prantik Goswami and Muhammad Arslan Zafar: “MexPub: Deep Transfer Learning for Metadata Extraction from German Publications” has been accepted by JCDL 2021