Titlebook: LACAME 2004; Proceedings of the 9 R. C. Mercader,J. R. Gancedo,E. Baggio-Saitovitch Conference proceedings 2005 Springer-Verlag Berlin Heid

讽刺滑稽戏剧

食草

T. Hernández,F. Plazaola,J. M. Barandiarán,J. M. Greneches NLP applications like sentiment analysis, opinion mining and text summarization. The detection of irony and sarcasm in microblogging posts can be even more challenging because of the restricted length of the message at hand, the informal language, emoticons and hash tags used. In our approach we c

火花

P. C. Piña,H. Arriola,F. Guzmánanized. It is driven by digital technologies and by the enormous growth of data, globalization, enlargement of the scientific community and the need to address societal challenges [.]. It has now widely been recognized that making research results more accessible to all societal actors contributes t

礼节

K. E. García,A. L. Morales,C. A. Barrero,J. M. Grenecheh low trait anxiety (mean TMAS score = 7.5 ± 2.9) aged 19 to 22 years, using psycho-physiological and psychological tests. The electroexpectogram (EXG) paradigm and a computerized psychological test of pattern recognition (P-R) were used. The Taylor Manifest Anxiety Scale (TMAS) was used for the eva

向下五度才偏

裂口

E. de Grave,R. E. Vandenberghe,C. Dauwe trajectory features. Ski slopes, in general, differ by width, length, difficulty and geographical position on the mountain, which results in different patterns of skiing. We study the correlation between these patterns different types of ski injuries. Many types of analysis were proposed in this do

CHYME

偶然

M. Mizrahi,S. J. Stewart,A. F. Cabrera,J. Desimonilucose regulation class..: The methods used in this research are: i) Point Biserial Correlation, ii) Univariate Logistic Regression iii) Multivariate Logistic Regression iv) Pearson Correlation and v) Spearman Rank correlation..: The dataset consists of the following features: age, BMI, gender, weig

lymphedema

J. F. Bengoa,M. S. Moreno,S. G. Marchetti,R. E. Vandenberghe,R. C. Mercaderon. Citizens often remain unaware of the pollution in their immediate surrounding which usually has strong correlation with the local environment and micro-climate. This paper presents an Internet of Things based system for real-time monitoring and prediction of air pollution. First, a general layer

Dysarthria

A. M. Alvarez,J. F. Bengoa,M. V. Cagnoli,N. G. Gallegos,S. G. Marchetti,R. C. Mercadera system for structural and hierarchical representation of proteins and gene products which support DAG hierarchy. CLUS, however, is a system which deals with hierarchical data. In this paper, we present a comparison between the two previously mentioned protein descriptors for predicting protein fun