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Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling.

, , and . Intell. Data Anal., 17 (2): 327-341 (2013)

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Learning to classify structured data by graph propositionalization., and . Computational Intelligence, page 283-288. IASTED/ACTA Press, (2006)Comparative analysis of the use of chemoinformatics-based and substructure-based descriptors for quantitative structure-activity relationship (QSAR) modeling., , and . Intell. Data Anal., 17 (2): 327-341 (2013)Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data?, and . ICMLA (1), page 409-414. IEEE, (2012)Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics., and . IMECS, page 153-157. Newswood Limited, (2007)Yes! I Want My Non-Cognitive Skills to Be Improved: Perceptions on an ICT-Enabled Learning Journey., , and . Int. J. Emerg. Technol. Learn., (2021)Experiences from Digital Learning Analytics in Finland and Sweden: A Collaborative Approach., , , and . MIPRO, page 627-632. IEEE, (2019)Effect of Inadequate Self-Organized Teams in Agile Project Management: A Case Study From the Oil and Gas Industry., and . Int. J. Inf. Technol. Proj. Manag., 11 (3): 95-106 (2020)Graph Propositionalization for Random Forests., and . ICMLA, page 196-201. IEEE Computer Society, (2009)Learning Analytics for Blended Learning: A Systematic Review of Theory, Methodology, and Ethical Considerations., , , , and . Int. J. Learn. Anal. Artif. Intell. Educ., 2 (2): 46 (2020)Learning predictive models from graph data using pattern mining.. Stockholm University, Sweden, (2014)base-search.net (ftstockholmuniv:oai:DiVA.org:su-100713).