Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04082-3
Abstract: Selecting a subset of relevant features is crucial to the analysis of high-dimensional datasets coming from a number of application domains, such as biomedical data, document and image analysis. Since no single selection algorithm seems… read more here.
Keywords: high dimensional; feature selection; analysis; ensemble feature ... See more keywords
Video event detection, classification and retrieval using ensemble feature selection
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DOI: 10.1007/s10586-021-03308-1
Abstract: In recent times, video analysis gains more popularity among the researchers, due to its social impact and widespread applications. In this research article, a novel algorithm is proposed to detect the multiple events in the… read more here.
Keywords: algorithm; feature selection; feature; ensemble feature ... See more keywords
Optimization-Based Ensemble Feature Selection Algorithm and Deep Learning Classifier for Parkinson's Disease
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/1487212
Abstract: PD (Parkinson's Disease) is a severe malady that is painful and incurable, affecting older human beings. Identifying PD early in a precise manner is critical for the lengthened survival of patients, where DMTs (data mining… read more here.
Keywords: ensemble feature; optimization based; parkinson disease; feature ... See more keywords
Novel Ensemble Feature Selection Approach and Application in Repertoire Sequencing Data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.821832
Abstract: The T and B cell repertoire make up the adaptive immune system and is mainly generated through somatic V(D)J gene recombination. Thus, the VJ gene usage may be a potential prognostic or predictive biomarker. However,… read more here.
Keywords: ensemble feature; selection approach; approach; feature selection ... See more keywords
An Ensemble Feature Selection Approach to Identify Relevant Features from EEG Signals
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DOI: 10.3390/app11156983
Abstract: Identifying relevant data to support the automatic analysis of electroencephalograms (EEG) has become a challenge. Although there are many proposals to support the diagnosis of neurological pathologies, the current challenge is to improve the reliability… read more here.
Keywords: feature selection; ensemble feature; selection; relevant features ... See more keywords
Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Medical Sciences"
DOI: 10.7150/ijms.33820
Abstract: Background: In recent years, the development and diagnosis of secondary cancer have become the primary concern of cancer survivors. A number of studies have been developing strategies to extract knowledge from the clinical data, aiming… read more here.
Keywords: ensemble feature; group; risk factors; cancer ... See more keywords