Our Work “Improved Discoverability of Digital Objects in Institutional Repositories Using Controlled Vocabularies” Accepted to JCDL 2021

Our submission to JCDL 2021, titled “Improved Discoverability of Digital Objects in Institutional Repositories Using Controlled Vocabularies” has been accepted and will be presented during the upcoming JCDL 2021 conference. The long paper category had a 29% acceptance rate and we are thrilled that our submission was part of the 22 long papers accepted. We are especially happy with the metareview as it speaks to how our colleagues view our work […] Continue reading “Our Work “Improved Discoverability of Digital Objects in Institutional Repositories Using Controlled Vocabularies” Accepted to JCDL 2021″

Deep Learning Indaba X – Zambia 2021 Invited Talk: Using Machine Learning for Solving Locally Relevant Problems

I gave an invited talk titled “Using Machine Learning for Solving Locally Relevant Problems” at the Deep Learning Indaba X – Zambia 2021 that was held virtually, due to the Global Pandemic The event was on May 25, 2021. The Deep Learning Indaba (DLI) is an organisation whose mission is to Strengthen Machine Learning and Artificial Intelligence in Africa. Continue reading “Deep Learning Indaba X – Zambia 2021 Invited Talk: Using Machine Learning for Solving Locally Relevant Problems”

Our Work “Automatic Classification of Digital Objects for Improved Metadata Quality of Electronic Theses and Dissertations in Institutional Repositories” Published in IJMSO Volume 14, Issue 13

Our article, submitted to the International Journal of Metadata, Semantics and Ontologies has been published in the journal’s “Volume 14, Issue No. 3“. Continue reading “Our Work “Automatic Classification of Digital Objects for Improved Metadata Quality of Electronic Theses and Dissertations in Institutional Repositories” Published in IJMSO Volume 14, Issue 13″