Fabio Cumbo

Orcid: 0000-0003-2920-5838

According to our database1, Fabio Cumbo authored at least 23 papers between 2016 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
hdlib 2.0: Extending Machine Learning Capabilities of Vector-Symbolic Architectures.
CoRR, January, 2026

An Automatic Pipeline for the Integration of Python-Based Tools into the Galaxy Platform: Application to the anvi'o Framework.
CoRR, January, 2026

Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls.
PeerJ Comput. Sci., 2026

2025
Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures.
CoRR, November, 2025

Feature selection with vector-symbolic architectures: a case study on microbial profiles of shotgun metagenomic samples of colorectal cancer.
Briefings Bioinform., March, 2025

Hyperdimensional computing in biomedical sciences: a brief review.
PeerJ Comput. Sci., 2025

2023
An ontology-based approach for modelling and querying Alzheimer's disease data.
BMC Medical Informatics Decis. Mak., December, 2023

hdlib: A Python library for designing Vector-Symbolic Architectures.
J. Open Source Softw., October, 2023

Evaluating homophily in networks via <i>HONTO</i> (HOmophily Network TOol): a case study of chromosomal interactions in human PPI networks.
Bioinform., January, 2023

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.
PLoS Comput. Biol., 2023

2020

A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer.
Algorithms, 2020

An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer.
Proceedings of the Database and Expert Systems Applications, 2020

2019
Smart Persistence and Accessibility of Genomic and Clinical Data.
Proceedings of the Database and Expert Systems Applications, 2019

Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales.
Bioinform., 2018

Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers.
Big Data Res., 2018

Classifying Big DNA Methylation Data: A Gene-Oriented Approach.
Proceedings of the Database and Expert Systems Applications, 2018

An ontology-based approach to improve data querying and organization of Alzheimer's Disease data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas.
BMC Bioinform., 2017

2016
Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

COSYS: A Computational Infrastructure for Systems Biology.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016


  Loading...