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  • Fall 2020

    Yu, Zheng

    Analysis of complex networks is one of the most important topics in the Machine Learning field. At the same time, classical probabilistic graphical relational models are one of the most popular methods used to perform such tasks. However, there are several limitations associated with a process...

  • Fall 2018

    Araya, Ruben

    Multiple studies have reported results of activities focused on development of different algorithms for prognosis of failures of apparatuses and machines. Failure prediction allows to schedule maintenance activities, increase productivity, and decrease inventory of spare parts. Construction of...

  • Spring 2023

    Pietrasik, Marcin

    Knowledge graphs are data storage structures that rely on principles from graph theory to represent information. Specifically, facts are stored as triples which bring together two entities via a predicate. In a graphical context, these entities are analogous to nodes, and the relations between...

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