Matteo Interlandi

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 2

Top Topics

Machine Learning

Top Venues

The VLDB journal : very large data bases : a publication of the VLDB Endowment

IEEE transactions on knowledge and data engineering

Microsoft

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Microsoft Jun 05 2017

United States

Research Scientist

Publications

Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra
Pushing ML Predictions Into DBMSs. IEEE transactions on knowledge and data engineering 35 (10) (2023)
Matteo Interlandi, Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd Millstein, Tyson Condie
Adding data provenance support to Apache Spark. The VLDB journal : very large data bases : a publication of the VLDB Endowment 27 (5) (2017)