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Machine Learning Techniques for Prognosis Estimation and Knowledge Discovery From Lab Test Results With Application to the COVID-19 Emergency.

, , , , and . IEEE Access, (2023)

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A General Approach for Configuring PDDL Problem Models., and . ICAPS, page 431-436. AAAI Press, (2018)On the use of case-based planning for e-learning personalization., , and . Expert Syst. Appl., (2016)An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy., , , , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 318-328. Springer, (2021)Comparison of supervised machine learning techniques for PD classification in generator insulation., , , , and . ICIIS, page 1-6. IEEE, (2017)Action-Failure Resilient Planning., , , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 44-51. IOS Press, (2023)Towards Plan Recognition in Hybrid Systems., , , , and . IPS-RCRA@AI*IA, volume 2745 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies., , , , , and . J. Artif. Intell. Res., (2023)Goal Recognition as a Deep Learning Task: The GRNet Approach., , , , , and . ICAPS, page 560-568. AAAI Press, (2023)Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling., , , , , , , and . KES, volume 225 of Procedia Computer Science, page 1542-1551. Elsevier, (2023)Deep Learning for Classification of Radiology Reports with a Hierarchical Schema., , , , and . KES, volume 176 of Procedia Computer Science, page 349-359. Elsevier, (2020)