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What is gastronomy? An exploratory study of social representation of gastronomy and Mexican cuisine among experts and consumers using a qualitative approach
(Elsevier, 2020-07)
The aim of this work was to explore, based on language of experts and consumers, how they define the concept of gastronomy and Mexican cuisine applying the Theory of Social Representation. Gastronomy has become very relevant ...
Bidirectional estimation on the number line in kindergarteners: the effect of the familiarity with numbers
(2015)
In recent years, mapping tasks have been used to explain development of symbolic and non-symbolic numerical
associations. The bidirectional mapping hypothesis (Castronovo & Seron, 2007) postulates that transcoding ...
Representação multimodal para classificação de informação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2018-06-08)
The most basic meaning of "multimodality" is the use of multiple means of information to compose an "artifact", a man-made object that expresses a concept. In our day-to-day life, most media outlets use multimedia to express ...
Compact representation of Webgraphs with extended functionality
(Elsevier, 2013)
Many relevant Web mining tasks translate into classical algorithms
on the Web graph. Compact Web graph representations allow
running these tasks on larger graphs within main memory. These representations
at least provide ...
Navigating Semantically Annotated Queries for Task Understanding
(Universidade Federal de Minas GeraisUFMG, 2018-11-05)
As search systems gradually turn into intelligent personal assistants, users increasingly resort to a search engine to accomplish a complex task, such as planning a trip, renting an apartment, or investing in stocks. A key ...
Time series classification with representation ensembles
(SpringerCham, 2015)
Time series has attracted much attention in recent years, with thousands of methods for diverse tasks such as classification, clustering, prediction, and anomaly detection. Among all these tasks, classification is likely ...
An Efficient Representation of k-TSS Language ModelsAn Efficient Representation of k-TSS Language Models
(Computación y Sistemas, 2009)
A Multi-resolution Approximation for Time Series
(Springer, 2020)
Time series is a common and well-known way for describing temporal data. However, most of the state-of-the-art techniques for analysing time series have focused on generating a representation for a single level of resolution. ...