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Universidad Politécnica de Madrid Facultad de Informática: Madrid, Comunidad de Madrid, ES

2016-10 to present
Employment
Source: Self-asserted source
María Navas-Loro

Works (6)

Datamining turbofan engine performance to improve fuel efficiency

2017 IEEE Aerospace Conference
2017 | Conference paper
Source: Self-asserted source
María Navas-Loro

LawORDate: a Service for Distinguishing Legal References from Temporal Expressions

Proceedings of the 1st Workshop on Technologies for Regulatory Compliance co-located with the 30th International Conference on Legal Knowledge and Information Systems (JURIX 2017), Luxembourg, December 13, 2017.
2017 | Conference paper
Source: Self-asserted source
María Navas-Loro

Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain

Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017
2017 | Conference paper
Source: Self-asserted source
María Navas-Loro

OEG at TASS 2017: Spanish Sentiment Analysis of tweets at document level

Proceedings of TASS 2017: Workshop on Semantic Analysis at SEPLN (TASS 2017)
2017 | Conference paper
Source: Self-asserted source
María Navas-Loro

Spanish Corpus for Sentiment Analysis Towards Brands

Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings
2017 | Book chapter
Part of ISBN: 978-3-319-66429-3
Source: Self-asserted source
María Navas-Loro

Data mining turbofan engine performance to improve fuel efficiency

2016 Future Technologies Conference (FTC)
2016 | Conference paper
Contributors: J. Lacaille; M. N. Loro
Source: Self-asserted source
María Navas-Loro via ResearcherID