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K-means for massive data
(2019-04-30)
The $K$-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability
and competitive computational complexity, when ...
Early classification of time series using multi-objective optimization techniques
(Information Sciences, 2019-04-23)
In early classification of time series the objective is to build models which are able to make class-predictions for time series as accurately and as early as possible, when only a part of the series is available. It is ...
Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders
(European Eating Disorders Review, 2019-04)
Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta-binomial regression (BBR) approach on a broad ...
Mallows and generalized Mallows model for matchings
(Bernoulli, 2019-02-25)
The Mallows and Generalized Mallows Models are two of the most popular probability models for distribu- tions on permutations. In this paper, we consider both models under the Hamming distance. This models can be seen as ...
On the evaluation and selection of classifier learning algorithms with crowdsourced data
(Applied Soft Computing, 2019-02-16)
In many current problems, the actual class of the instances, the ground truth, is unavail-
able. Instead, with the intention of learning a model, the labels can be crowdsourced by
harvesting them from different annotators. ...
Aggregated outputs by linear models: An application on marine litter beaching prediction
(Information Sciences, 2019-01-01)
In regression, a predictive model which is able to anticipate the output of a new case is learnt from a set of previous examples. The output or response value of these examples used for model training is known. When learning ...
COPD classification models and mortality prediction capacity
(International Journal of COPD, 2019)
Our aim was to assess the impact of comorbidities on existing COPD prognosis scores.
Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January ...
Spatiotemporal information coupling in network navigation
(IEEE Transactions on Information Theory, 2018-12)
Network navigation, encompassing both spatial and
temporal cooperation to locate mobile agents, is a key enabler
for numerous emerging location-based applications. In such
cooperative networks, the positional information ...
A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
(PLoS ONE, 2018-11-28)
Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure ...
A review on distance based time series classification
(Data Mining and Knowledge Discovery,, 2018-11-01)
Time series classification is an increasing research topic due to the vast amount of time series data
that is being created over a wide variety of fields. The particularity of the data makes it a challenging task
and ...