127 citations · 141 across the 15 of their papers we have counts for
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Metadata Representations for Queryable ML Model Zoos
Ziyu Li, Rihan Hai, Alessandro Bozzon +1
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that ar…
SiMa: Effective and Efficient Matching Across Data Silos Using Graph Neural Networks
Christos Koutras, Rihan Hai, Kyriakos Psarakis +2
How can we leverage existing column relationships within silos, to predict similar ones across silos? Can we do this efficiently and effectively? Existing matching approaches do no…
Amalur: Data Integration Meets Machine Learning
Rihan Hai, Christos Koutras, Andra Ionescu +5
The data needed for machine learning (ML) model training, can reside in different separate sites often termed data silos. For data-intensive ML applications, data silos pose a majo…