Marco Notaro

Orcid: 0000-0003-4309-2200

According to our database1, Marco Notaro authored at least 15 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
J. Biomed. Informatics, March, 2023

2022
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.
CoRR, 2022

Heterogeneous data integration methods for patient similarity networks.
Briefings Bioinform., 2022

ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web.
Proceedings of the Current Trends in Web Engineering, 2022

2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
Bioinform., 2021

2019
Hierarchical ensemble methods for ontology-based predictions in computational biology.
PhD thesis, 2019

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.
BMC Bioinform., 2019

2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
BMC Bioinform., 2018

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.
BMC Bioinform., 2017

Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2015
A Hierarchical Ensemble Method for DAG-Structured Taxonomies.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015


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