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Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset., , , , , , и . Int. J. Data Sci. Anal., 15 (1): 49-66 (января 2023)Toxicity Prediction Using Pre-trained Autoencoder., , , , и . BIBM, стр. 299-304. IEEE Computer Society, (2018)Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks., , , и . BIBE, стр. 1365-1369. IEEE Computer Society, (2007)Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain., , и . Data Knowl. Eng., (2018)Computational prediction of protein interaction networks through supervised classification techniques., , , и . I. J. Functional Informatics and Personalised Medicine, 1 (2): 205-221 (2008)An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions., , , и . J. Integr. Bioinform., (2006)A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks., , , и . Comput. Biol. Medicine, 40 (3): 306-317 (2010)Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study., , , , и . IPMU (1), том 1237 из Communications in Computer and Information Science, стр. 301-312. Springer, (2020)Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches., , , , , , , и . BIBM, стр. 198-203. IEEE Computer Society, (2016)A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome., , , , , , , и . BIBM, стр. 1900-1906. IEEE, (2019)