Giorgio Valentini

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but...

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules

The "RNA world" represents a novel frontier for the study of fundamental biological processes and human diseases and is paving the way for the development of new drugs tailored to the patient's...

A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful to assess associations between patients' predictors and outcomes of interest. However, these datasets...

Multitask Hopfield Networks

Multitask algorithms typically use task similarity information as a bias to speed up and improve the performance of learning processes. Tasks are learned jointly, sharing information across them,...

Notes on hierarchical ensemble methods for DAG-structured taxonomies

Several real problems ranging from text classification to computational biology are characterized by hierarchical multi-label classification tasks. Most of the methods presented in literature...

Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs

Biomedical knowledge graphs combine ontology-derived hierarchies with transversal associations among heterogeneous entities such as phenotypes, diseases, genes, proteins, and patients. This hybrid...

Within network learning on big graphs using secondary memory-based random walk kernels

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins

Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data

Patient Similarity Networks Integration for Partial Multimodal Datasets

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories

NEURObjects: A Set of Library Classes for Neural Networks Development

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning

A Hierarchical Ensemble Method for DAG-Structured Taxonomies

Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis

Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

Ensemble Based Data Fusion for Gene Function Prediction

Bias-Variance Analysis and Ensembles of SVM