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Consensus Clustering and Functional Interpretation of Gene Expression Data.

, , , , , , and . Spanish Bioinformatics Conference, page 6. Technical University of Catalonia, Barcelona, (2004)

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Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise., , , and . Ensembles in Machine Learning Applications, volume 373 of Studies in Computational Intelligence, Springer, (2011)Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records., , , , , , , and . Artif. Intell. Medicine, (2020)An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data., , , and . GECCO, page 2174-2181. ACM, (2007)Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets., , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 556-566. Springer, (2018)Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease., , , , , and . J. Heal. Informatics Res., 2 (4): 402-422 (2018)Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets., and . J. Biomed. Informatics, 41 (6): 914-926 (2008)Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection., , , and . Comput. Intell., 37 (2): 701-734 (2021)Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy., , and . Comput. Intell., 37 (2): 819-851 (2021)Good news and bad news: Do online investor sentiments reaction to return news asymmetric?, , and . MIDAS@PKDD/ECML, volume 1774 of CEUR Workshop Proceedings, page 55-66. CEUR-WS.org, (2016)Intelligently Detecting Information Online-Weaponisation Trends (IDIOT)., , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 197-214. Springer, (2022)