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
Sign Up to like & getrecommendations! Published in 2021 at "Cluster Computing"
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
Deconstructability prediction for building using machine learning and ensemble feature selection techniques
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DOI: 10.1038/s41598-025-00790-0
Abstract: Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering… read more here.
Keywords: deconstruction; using machine; machine learning; selection techniques ... See more keywords
An adaptive ensemble feature selection technique for model-agnostic diabetes prediction
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DOI: 10.1038/s41598-025-91282-8
Abstract: Ensemble learning aggregates several models’ outputs to improve the overall model’s performance. Ensemble feature selection separating the appropriate features from the extra and non-essential features. In this paper, the main focus will be to expand… read more here.
Keywords: diabetes prediction; model; ensemble feature; feature ... See more keywords
Improving the performance and interpretability on medical datasets using graphical ensemble feature selection
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DOI: 10.1093/bioinformatics/btae341
Abstract: Abstract Motivation A major hindrance towards using Machine Learning (ML) on medical datasets is the discrepancy between a large number of variables and small sample sizes. While multiple feature selection techniques have been proposed to… read more here.
Keywords: medical datasets; performance; ensemble feature; selection ... 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
Machine Learning-Based Ensemble Feature Selection and Nested Cross-Validation for miRNA Biomarker Discovery in Usher Syndrome
Sign Up to like & getrecommendations! Published in 2025 at "Bioengineering"
DOI: 10.3390/bioengineering12050497
Abstract: Usher syndrome (USH) is a rare genetic disorder affecting vision, hearing, and balance. Identifying reliable biomarkers is crucial for early diagnosis and understanding disease mechanisms. MicroRNAs (miRNAs), key regulators of gene expression, hold promise as… read more here.
Keywords: ensemble feature; feature selection; machine learning;
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