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Proceed with Care: Reimagining Home IoT Through a Care Perspective.

, , , and . CHI, page 166:1-166:15. ACM, (2021)

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Toxicity Prediction Using Pre-trained Autoencoder., , , , and . BIBM, page 299-304. IEEE Computer Society, (2018)Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks., , , and . BIBE, page 1365-1369. IEEE Computer Society, (2007)A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks., , , and . Comput. Biol. Medicine, 40 (3): 306-317 (2010)An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions., , , and . J. Integr. Bioinform., (2006)Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study., , , , and . IPMU (1), volume 1237 of Communications in Computer and Information Science, page 301-312. Springer, (2020)A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome., , , , , , , and . BIBM, page 1900-1906. IEEE, (2019)Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches., , , , , , , and . BIBM, page 198-203. IEEE Computer Society, (2016)Minimum dominating sets in cell cycle specific protein interaction networks., , , and . BIBM, page 25-30. IEEE Computer Society, (2014)Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae., , , and . CIBCB, page 128-135. IEEE, (2008)Proceed with Care: Reimagining Home IoT Through a Care Perspective., , , and . CHI, page 166:1-166:15. ACM, (2021)