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A General Approach for Configuring PDDL Problem Models., и . ICAPS, стр. 431-436. AAAI Press, (2018)Towards Plan Recognition in Hybrid Systems., , , , и . IPS-RCRA@AI*IA, том 2745 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Comparison of supervised machine learning techniques for PD classification in generator insulation., , , , и . ICIIS, стр. 1-6. IEEE, (2017)Action-Failure Resilient Planning., , , , , и . ECAI, том 372 из Frontiers in Artificial Intelligence and Applications, стр. 44-51. IOS Press, (2023)Deep Learning for Classification of Radiology Reports with a Hierarchical Schema., , , , и . KES, том 176 из Procedia Computer Science, стр. 349-359. Elsevier, (2020)An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy., , , , , и . AIME, том 12721 из Lecture Notes in Computer Science, стр. 318-328. Springer, (2021)Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling., , , , , , , и . KES, том 225 из Procedia Computer Science, стр. 1542-1551. Elsevier, (2023)Goal Recognition as a Deep Learning Task: The GRNet Approach., , , , , и . ICAPS, стр. 560-568. AAAI Press, (2023)Leveraging Multi-task Learning for Biomedical Named Entity Recognition., , , и . AI*IA, том 11946 из Lecture Notes in Computer Science, стр. 431-444. Springer, (2019)Planning with Numerical Expressions in LPG., , и . ECAI, стр. 667-671. IOS Press, (2004)