Rubén Armañanzas

Orcid: 0000-0003-4049-0000

According to our database1, Rubén Armañanzas authored at least 22 papers between 2005 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A Novel Algorithm for Community Detection in Networks using Rough Sets and Consensus Clustering.
CoRR, 2024

Conformal Recursive Feature Elimination.
CoRR, 2024

2023
An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Network Community Detection in Connectomics Data using Graph Theory.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019
PaperBot: open-source web-based search and metadata organization of scientific literature.
BMC Bioinform., December, 2019

2017
Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.
IEEE J. Biomed. Health Informatics, 2017

Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices.
J. Assoc. Inf. Sci. Technol., 2016

2015
Doubling up on the Fly: NeuroMorpho.Org Meets Big Data.
Neuroinformatics, 2015

2013
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data.
Inf. Sci., 2013

Network measures for information extraction in evolutionary algorithms.
Int. J. Comput. Intell. Syst., 2013

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.
Artif. Intell. Medicine, 2013

2012
Ensemble transcript interaction networks: A case study on Alzheimer's disease.
Comput. Methods Programs Biomed., 2012

2011
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2009
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures.
IEEE Trans. Inf. Technol. Biomed., 2009

2008
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
Comput. Methods Programs Biomed., 2008

A review of estimation of distribution algorithms in bioinformatics.
BioData Min., 2008

2006
Machine learning in bioinformatics.
Briefings Bioinform., 2006

2005
A multiobjective approach to the portfolio optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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