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Feature selection on wide multiclass problems using OVA-RFE
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-12)
Feature selection is a pre–processing technique commonly used with high–dimensional datasets. It is aimed at reducing the dimensionality of the input space, discarding useless or redundant variables, in order to increase ...
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction
(Elsevier, 2019-08)
This article makes available several genome-wide datasets, which can be used for training microRNA (miRNA) classifiers. The hairpin sequences available are from the genomes of: Homo sapiens, Arabidopsis thaliana, Anopheles ...
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning (IF 5.610)
(Oxford University Press, 2020-08)
Motivation: The genome-wide discovery of microRNAs (miRNAs) involves identifying sequences having the highest chance of being a novel miRNA precursor (pre-miRNA), within all the possible sequences in a complete genome. The ...
Heterochromatin evolution in Arachis investigated through genome-wide analysis of repetitive DNA
Los datos que se adjuntan corresponden a secuencias monoméricas de ADN satélite caracterizados en el genoma de Arachis glandulifera. Las mismas se encuentran ya depositadas en la base de datos nucleotídicos del GenBank ...
A nation-wide wi-fi RSSI dataset : Statistical analysis and resulting insights.
(IFIP-IEEE, 2020)
We present a dataset collected during ten months from a network comprising approximately 9500 double-band Access Points (APs), corresponding to Uruguay’s nation-wide one-to-one computing program’s internet provider. The ...
A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data
(Biomed Central Ltd., 2010-12-22)
Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules ...
A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data
(Biomed Central Ltd., 2010-12-22)
Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules ...
Self similarity wide-joins for near-duplicate image detection
(Institute of Electrical and Electronics Engineers - IEEEMiami, 2015-12)
Near-duplicate image detection plays an important role in several real applications. Such task is usually achieved by applying a clustering algorithm followed by refinement steps, which is a computationally expensive ...
A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
(Ieee, 2014-01-01)
Internet access by wireless networks has grown considerably in recent years. However, these networks are vulnerable to security problems, especially those related to denial of service attacks. Intrusion Detection Systems(IDS)are ...
A dataset for evaluating intrusion detection systems in IEEE 802.11 wireless networks
(2014-01-01)
Internet access by wireless networks has grownconsiderably in recent years. However, these networks are vulnerable to security problems, especially those related to denial of service attacks. Intrusion Detection Systems(IDS)are ...