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Intelligent Waste Separator
(Instituto Politécnico Nacional, 2015-10)
Embedded Multi-Agent Systems Applied to the Urban Traffic
(ITESO, 2016-10)
Embedded Multi-Agent Systems Applied to the Urban Traffic
(ITESO, 2016-10)
Estudo de modelos de word embedding
(Universidade Tecnológica Federal do ParanáMedianeiraBrasilGraduação em Ciência da ComputaçãoUTFPR, 2016-11-16)
The area of Artificial Intelligence seeks to construct mechanisms that simulate the intelligence of the Human beings so that they perform tasks that help them. There is the field of Natural Language Processing, an AI ...
Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach
In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
CaRINA intelligent robotic car: architectural design and applications
(ElsevierAmsterdam, 2014-04)
This paper presents the development of two outdoor intelligent vehicles platforms named CaRINA I and CaRINA II, their system architecture, simulation tools, and control modules. It also describes the development of the ...
Programação de um módulo de business intelligence no Block-Based Integrated Platform for Embedded Systems (BIPES)
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2022-09-16)
With the modernization of technologies and the activities of the society, the decision-making process starts to depend on the analysis of increasingly larger data sets. The increase in the use of the internet, the emergence ...
Exploring Unsupervised Features in Conditional Random Fields for Spanish Named Entity Recognition
(Institute of Electrical and Electronics Engineers Inc., 2017)
Unsupervised features such as word representations mostly given by word embeddings have been shown significantly improve semi supervised Named Entity Recognition (NER) for English language. In this work we investigate ...
Assessing Lexical-Semantic Regularities in Portuguese Word Embeddings
Models of word embeddings are often assessed when solving syntactic and semantic analogies. Among the latter, we are interested in relations that one would find in lexical-semantic knowledge bases like WordNet, also covered ...