122 results on '"Giorgio Valentini"'
Search Results
2. Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
3. SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning.
4. Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data.
5. Patient Similarity Networks Integration for Partial Multimodal Datasets.
6. A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph.
7. Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs.
8. Towards the Construction of an RNA-centered Knowledge Graph.
9. GRAPE for fast and scalable graph processing and random-walk-based embedding.
10. Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web.
11. ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data.
12. Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests.
13. An Open-Source Knowledge Graph Ecosystem for the Life Sciences.
14. RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules.
15. An expectation-maximization framework for comprehensive prediction of isoform-specific functions.
16. The promises of large language models for protein design and modeling.
17. Semi-automatic Column Type Inference for CSV Table Understanding.
18. A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables.
19. Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks.
20. HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
21. Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative.
22. Heterogeneous data integration methods for patient similarity networks.
23. A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
24. On the Quality of Classification Models for Inferring ABAC Policies from Access Logs.
25. Multitask Hopfield Networks.
26. Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
27. Protein function prediction as a graph-transduction game.
28. Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions.
29. A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks.
30. GraPE: fast and scalable Graph Processing and Embedding.
31. Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding.
32. UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.
33. Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.
34. Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions.
35. Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process.
36. A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
37. Within network learning on big graphs using secondary memory-based random walk kernels.
38. Multi-species protein function prediction: towards web-based visual analytics.
39. COSNet: An R package for label prediction in unbalanced biological networks.
40. Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.
41. A Hierarchical Ensemble Method for DAG-Structured Taxonomies.
42. Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology.
43. Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence.
44. Multitask Hopfield Networks.
45. Learning node labels with multi-category Hopfield networks.
46. Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories.
47. Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer.
48. Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering.
49. COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs.
50. A Novel Ensemble Technique for Protein Subcellular Location Prediction.
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