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I am an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. I am a member of the Data systems Research for Exploration, Analytics, and Modeling (DREAM) lab and of the Center for Data Science.
Marco Serafini's research lies at the intersection of database systems, distributed systems, and data science. Prior to joining the CICS faculty, he was a Senior Scientist at the Qatar Computing Research Institute (QCRI).
Marco Serafini. Assistant professor at University of Massachusetts Amherst. Verified email at cs.umass.edu - Homepage. Systems for ML Data Management Systems Distributed Systems. Title. Sort. Sort by citations Sort by year Sort by title. Cited by.
Systems for general graph mining. Programming abstractions, scalability, performance. Graph mining is an important class of graph analytics tasks such as frequent subgraph mining and motif counting. These algorithms are used to discover relevant patterns that comprise both structure-based and label-based properties of the graph.
Systems for Graph Neural Networks | Marco Serafini. In-GPU sampling and training, distributed multi-GPU systems. Representation learning is a fundamental task in machine learning.
Marco Serafini. Fraunhofer-Institut für Translationale Medizin und Pharmakologie ITMP Drug Discovery Research ScreeningPort: Hamburg, Hamburg, DE. 2019-10-01 to 2019-12-31 | Research Trainee. Employment. Show more detail. Source : Marco Serafini. Università degli Studi di Pisa: Pisa, Toscana, IT.
Marco Serafini's 60 research works with 1,500 citations and 6,066 reads, including: FlexPushdownDB: hybrid pushdown and caching in a cloud DBMS
