4 citations · 10 across the 17 of their papers we have counts for
4 papers · 1 filter
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Cong Yang, Bipin Indurkhya, John See +5
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Furthermore, we see ske…
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel +4
Data privacy and ownership are significant in social data science, raising legal and ethical concerns. Sharing and analyzing data is difficult when different parties own different…
Deep Author Name Disambiguation using DBLP Data
Zeyd Boukhers, Nagaraj Bahubali Asundi
In the academic world, the number of scientists grows every year and so does the number of authors sharing the same names. Consequently, it challenging to assign newly published pa…
Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective
Zeyd Boukhers, Christoph Lange, Oya Beyan
Our vision paper outlines a plan to improve the future of semantic interoperability in data spaces through the application of machine learning. The use of data spaces, where data i…