Titlebook: Knowledge Graphs and Semantic Web; Second Iberoamerican Boris Villazón-Terrazas,Fernando Ortiz-Rodríguez,S Conference proceedings 2020 Spri

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Malware Detection Using Machine Learning,tection for the same, we present a machine-learning based technique for predicting Windows PE files as benign or malignant based on fifty-seven of their attributes. We have used the Brazilian Malware dataset, which had around 1,00,000 samples and 57 labels. We have made seven models, and have achiev

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Relation Classification: How Well Do Neural Network Approaches Work?,pre-defined set of abstract relation labels. A benchmark data set for this task is the SemEval-2010 Task 8 data set. Neural network approaches are currently the methods that give state-of-art results on a wide range of NLP problems. There is also the claim that the models trained on one task carry o

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An Ontological Model for the Failure Detection in Power Electric Systems,ific aspects of the electricity grid and do not consider the necessary elements for the representation of a fault detection system based on Smart Grid trends. In this paper, we describe the development process of EPFDO, an ontology composed of a network of ontologies that allow the representation of