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12/18/2020
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review
We performed a PubMed search to find 148 papers published between Januar...
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11/22/2017
Identifying user habits through data mining on call data records
In this paper we propose a framework for identifying patterns and regula...
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04/16/2016
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids
Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Syst...
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10/24/2015
Data-driven detrending of nonstationary fractal time series with echo state networks
In this paper, we propose a novel data-driven approach for removing tren...
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04/10/2015
Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures
In this paper, we analyze 48 signals of rest tremor velocity related to ...
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01/19/2015
On the impact of topological properties of smart grids in power losses optimization problems
Power losses reduction is one of the main targets for any electrical ene...
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08/17/2014
Classifying sequences by the optimized dissimilarity space embedding approach: a case study on the solubility analysis of the E. coli proteome
We evaluate a version of the recently-proposed classification system nam...
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07/30/2014
Characterization of graphs for protein structure modeling and recognition of solubility
This paper deals with the relations among structural, topological, and c...
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07/28/2014
Entropic one-class classifiers
The one-class classification problem is a well-known research endeavor i...
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07/26/2014
Data granulation by the principles of uncertainty
Researches in granular modeling produced a variety of mathematical model...
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07/25/2014