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Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning.

, , , , , and . BIBE, page 247-254. IEEE, (2020)

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Evolving Twitter: an experimental analysis of graph properties of the social graph, , and . (2015)cite arxiv:1510.01091.Usability Evaluation of Accessible Complex Graphs., , , and . ICCHP (1), volume 9758 of Lecture Notes in Computer Science, page 571-574. Springer, (2016)Russo-Ukrainian War: Prediction and explanation of Twitter suspension., , , , , and . ASONAM, page 348-355. ACM, (2023)OntoCAT - simple ontology search and integration in Java, R and REST/JavaScript., , , , , , , , and . BMC Bioinform., (2011)Biomedical Literature Mining for Text Classification and Construction of Gene Networks., , and . SETN, volume 3955 of Lecture Notes in Computer Science, page 469-473. Springer, (2006)Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning., , , , , and . BIBE, page 247-254. IEEE, (2020)Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study., , , and . ICWSM, page 956-967. AAAI Press, (2022)Think Before RT: An Experimental Study of Abusing Twitter Trends., , , , and . SocInfo Workshops, volume 8852 of Lecture Notes in Computer Science, page 402-413. Springer, (2014)Analysis of evolution, dynamics and vulnerabilities of online social networks. University of Crete, Greece, (2020)National Archive of PhD Theses: oai:10442/47236.Investigating the complete corpus of referendum and elections tweets., , , , and . ASONAM, page 100-105. IEEE Computer Society, (2016)