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2020 – today
- 2021
[j7]Pablo Nascimento da Silva
, Alexandre Plastino, Fabio Fabris, Alex Alves Freitas:
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2230-2238 (2021)- 2020
- [j6]Fabio Fabris, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas:
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes. Briefings Bioinform. 21(3): 803-814 (2020) - [j5]Fabio Fabris, Daniel Palmer, Khalid M. Salama, João Pedro de Magalhães, Alex Alves Freitas:
Using deep learning to associate human genes with age-related diseases. Bioinform. 36(7): 2202-2208 (2020)
2010 – 2019
- 2019
- [c5]Fabio Fabris, Alex Alves Freitas:
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. LOD 2019: 508-520 - 2018
- [j4]Fabio Fabris, Aoife Doherty, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas:
A new approach for interpreting Random Forest models and its application to the biology of ageing. Bioinform. 34(14): 2449-2456 (2018) - [c4]Enrico S. Miranda, Fabio Fabris, Chrystian G. M. Nascimento, Alex Alves Freitas, Alexandre C. M. Oliveira:
Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem. BRACIS 2018: 169-174 - 2017
- [b1]Fabio Fabris:
New probabilistic graphical models and meta-learning approaches for hierarchical classification, with applications in bioinformatics and ageing. University of Kent, Canterbury, UK, 2017 - [j3]Caroline Rizzi Raymundo, Colin G. Johnson, Fabio Fabris, Patrícia A. Vargas:
A Situation-Aware Fear Learning (SAFEL) model for robots. Neurocomputing 221: 32-47 (2017) - 2016
- [j2]Fabio Fabris, Alex Alves Freitas:
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. Bioinform. 32(19): 2988-2995 (2016) - [j1]Fabio Fabris, Alex Alves Freitas, Jennifer M. A. Tullet:
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1045-1058 (2016) - 2015
- [c3]Fabio Fabris, Alex Alves Freitas:
A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data. ICTAI 2015: 294-301 - 2014
- [c2]Fabio Fabris, Alex Alves Freitas:
Dependency network methods for Hierarchical Multi-label Classification of gene functions. CIDM 2014: 241-248 - [c1]Fabio Fabris, Alex Alves Freitas:
An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. DEXA Workshops 2014: 64-68
Coauthor Index
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