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Mobile Application for Noise Pollution Monitoring through Gamification Techniques
(Springer Berlin Heidelberg, 2012)
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as ...
EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings
(Springer Berlin Heidelberg, 2013)
Shape descriptions and the corresponding matching techniques must be robust to noise and invariant to transformations for their use in recognition tasks. Most transformations are relatively easy to handle when contours are ...
A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA
(Springer Berlin Heidelberg, 2012)
Cyclic Dynamic Time Warping (CDTW) is a good dissimilarity of shape descriptors of high dimensionality based on contours, but it is computationally expensive. For this reason, to perform recognition tasks, a method to ...
Improving Risk Predictions by Preprocessing Imbalanced Credit Data
(Springer Berlin Heidelberg, 2012)
Imbalanced credit data sets refer to databases in which the class of defaulters is heavily under-represented in comparison to the class of non-defaulters. This is a very common situation in real-life credit scoring ...
Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval
(Springer Berlin Heidelberg, 2012)
In this paper, we present a new methodology aimed at retrieving relevant product aspects from a collection of customer reviews, as well as the most salient sentiments expressed about them. Our proposal is both unsupervised ...
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods
(Springer Berlin Heidelberg, 2012)
A wide range of classification models have been explored for financial risk prediction, but conclusions on which technique behaves better may vary when different performance evaluation measures are employed. Accordingly, ...