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516 results on '"Scala, Enrico"'

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1. Action Model Learning with Guarantees

2. Safe Learning of PDDL Domains with Conditional Effects -- Extended Version

6. IgE to cyclophilins in pollen-allergic children: Epidemiologic, clinical, and diagnostic relevance of a neglected panallergen

8. Action-Failure Resilient Planning

10. A Structure-Sensitive Translation from Hybrid to Numeric Planning

11. Verification of Numeric Planning Problems Through Domain Dynamic Consistency

15. A Sound (But Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning

16. Genetically Driven CD39 Expression Affects Sezary Cell Viability and IL-2 Production and Detects Two Patient Subsets with Distinct Prognosis

17. Mollusk allergy in shrimp-allergic patients: Still a complex diagnosis. An Italian real-life cross-sectional multicenter study

19. Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains

20. Circulating interleukin-8 and osteopontin are promising biomarkers of clinical outcomes in advanced melanoma patients treated with targeted therapy.

24. The 2023 International Planning Competition

25. Using AI-Planning to Solve a Kinodynamic Path Planning Problem and Its Application for HAPS

27. A WAO — ARIA — GA2LEN consensus document on molecular-based allergy diagnosis (PAMD@): Update 2020

28. IgE allergy diagnostics and other relevant tests in allergy, a World Allergy Organization position paper

29. Mollusk allergy in shrimp-allergic patients: still a complex diagnosis. An Italian multicenter study

33. Blood and skin-derived Sezary cells: differences in proliferation-index, activation of PI3K/AKT/mTORC1 pathway and its prognostic relevance

39. ReCon: An Online Task ReConfiguration Approach for Robust Plan Execution

41. Data from CXCL13 Is Highly Produced by Sézary Cells and Enhances Their Migratory Ability via a Synergistic Mechanism Involving CCL19 and CCL21 Chemokines

42. Supplementary Table 2 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

43. Supplementary Table 1 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

44. Supplementary Figure 1 and Table 1 from CXCL13 Is Highly Produced by Sézary Cells and Enhances Their Migratory Ability via a Synergistic Mechanism Involving CCL19 and CCL21 Chemokines

45. Data from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

46. Supplementary Figure 1 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

47. Supplementary Table 3 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

48. Supplementary Table 4 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

49. Supplementary Figure 2 from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

50. Genome Data Link from Identification of Key Regions and Genes Important in the Pathogenesis of Sézary Syndrome by Combining Genomic and Expression Microarrays

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