Search Results for author: Roberto Gonzalez

Found 3 papers, 1 papers with code

syslrn: Learning What to Monitor for Efficient Anomaly Detection

1 code implementation29 Mar 2022 Davide Sanvito, Giuseppe Siracusano, Sharan Santhanam, Roberto Gonzalez, Roberto Bifulco

While monitoring system behavior to detect anomalies and failures is important, existing methods based on log-analysis can only be as good as the information contained in the logs, and other approaches that look at the OS-level software state introduce high overheads.

Anomaly Detection

TransRev: Modeling Reviews as Translations from Users to Items

no code implementations30 Jan 2018 Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li

This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review.

Product Recommendation Recommendation Systems +3

Net2Vec: Deep Learning for the Network

no code implementations10 May 2017 Roberto Gonzalez, Filipe Manco, Alberto Garcia-Duran, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert

We present Net2Vec, a flexible high-performance platform that allows the execution of deep learning algorithms in the communication network.

General Classification Traffic Classification

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