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RecBoost: A Supervised Approach to Text Segmentation.

, , , , и . SEBD, стр. 220-231. (2005)

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Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical method. FU Berlin, (2009)

Francesco Solimena

Francesco Pinosa

Francesco Knechtli

Francesco Virili

 

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Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs., и . Business Process Management Workshops, том 362 из Lecture Notes in Business Information Processing, стр. 5-11. Springer, (2019)Deviance-Aware Discovery of High-Quality Process Models., , , и . Int. J. Artif. Intell. Tools, 27 (7): 1860009:1-1860009:27 (2018)Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction., , , и . Data Knowl. Eng., 70 (12): 1005-1029 (2011)Business Process Deviance Mining., и . Encyclopedia of Big Data Technologies, Springer, (2019)RecBoost: A Supervised Approach to Text Segmentation., , , , и . SEBD, стр. 220-231. (2005)Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders., , и . ICTAI, стр. 1342-1346. IEEE, (2022)Discovering High-Level Performance Models for Ticket Resolution Processes., , и . OTM Conferences, том 8185 из Lecture Notes in Computer Science, стр. 275-282. Springer, (2013)Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario., , , , и . ICDE Workshops, стр. 904-911. IEEE Computer Society, (2007)On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes., , и . ICEIS (1), стр. 206-217. SciTePress, (2015)A comorbidity-based recommendation engine for disease prediction., и . CBMS, стр. 6-12. IEEE Computer Society, (2010)