Rubén Armañanzas

29 papers B 2Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
A Bayesian Framework for Multi-layered Gene Regulation: Integrating Expression Data with Curated Knowledge.
AIiH (2)
Aitor Oviedo-Madrid, José González-Gomariz, Rubén Armañanzas
2025 J jnl
Community detection in networks: A rough sets and consensus clustering approach.
Appl. Soft Comput.
Darian H. Grass-Boada, Leandro González-Montesino, Rubén Armañanzas
2025 J jnl
Conformal inference for reliable single cell RNA-seq annotation.
Bioinform.
Marcos Lopez-De-Castro, Alberto García-Galindo, José González-Gomariz, Rubén Armañanzas
2025 J jnl
Fair prediction sets through multi-objective hyperparameter optimization.
Mach. Learn.
Alberto García-Galindo, Marcos Lopez-De-Castro, Rubén Armañanzas
2025 J jnl
RNACOREX - RNA coregulatory network explorer and classifier.
PLoS Comput. Biol.
Aitor Oviedo-Madrid, José González-Gomariz, Rubén Armañanzas
2024 J jnl
A Novel Algorithm for Community Detection in Networks using Rough Sets and Consensus Clustering.
CoRR
Darian H. Grass-Boada, Leandro González-Montesino, Rubén Armañanzas
2024 J jnl
Conformal Recursive Feature Elimination.
CoRR
Marcos Lopez-De-Castro, Alberto García-Galindo, Rubén Armañanzas
2024 — conf
Conformal Stability Measure of Feature Selection Algorithms.
COPA
Marcos Lopez-De-Castro, Alberto García-Galindo, Rubén Armañanzas
2024 — conf
Multi-class Classification with Reject Option and Performance Guarantees using Conformal Prediction.
COPA
Alberto García-Galindo, Marcos Lopez-De-Castro, Rubén Armañanzas
2023 — conf
An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer.
COPA
Alberto García-Galindo, Marcos Lopez-De-Castro, Rubén Armañanzas
2023 — conf
Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion.
BIBM
Bo Liang, Leslie S. Prichep, Saloni Kanakia, Jeffrey J. Bazarian, Tracey Covassin, R. J. Elbin, Gillian A. Hotz, Jeb F. Struder, Rubén Armañanzas
2023 — conf
Network Community Detection in Connectomics Data using Graph Theory.
BIBM
Leandro González-Montesino, Darian H. Grass-Boada, Rubén Armañanzas
2022 B conf
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization.
AIME
Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano
2021 — conf
Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework.
BIBM
Rubén Armañanzas, Adrián Díaz, Mario Martínez-García, Santiago Mazuelas
2019 J jnl
PaperBot: open-source web-based search and metadata organization of scientific literature.
BMC Bioinform.
Patricia Maraver, Rubén Armañanzas, Todd A. Gillette, Giorgio A. Ascoli
2017 — conf
Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease.
BIBM
Rubén Armañanzas
2017 J jnl
Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.
IEEE J. Biomed. Health Informatics
Rubén Armañanzas, Martina Iglesias, Dinora A. Morales, Lidia Alonso-Nanclares
2016 J jnl
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices.
J. Assoc. Inf. Sci. Technol.
Alfonso Ibáñez, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
2015 J jnl
Doubling up on the Fly: NeuroMorpho.Org Meets Big Data.
Neuroinformatics
Sumit Nanda, M. Mowafak Allaham, Maurizio Bergamino, Sridevi Polavaram, Rubén Armañanzas, Giorgio A. Ascoli, Ruchi Parekh
2013 J jnl
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data.
Inf. Sci.
Miguel García-Torres, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
2013 J jnl
Network measures for information extraction in evolutionary algorithms.
Int. J. Comput. Intell. Syst.
Roberto Santana, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
2013 J jnl
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.
Artif. Intell. Medicine
Rubén Armañanzas, Concha Bielza, Kallol Ray Chaudhuri, Pablo Martínez-Martín, Pedro Larrañaga
2012 J jnl
Ensemble transcript interaction networks: A case study on Alzheimer's disease.
Comput. Methods Programs Biomed.
Rubén Armañanzas, Pedro Larrañaga, Concha Bielza
2011 J jnl
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga
2009 J jnl
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures.
IEEE Trans. Inf. Technol. Biomed.
Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga
2008 J jnl
A review of estimation of distribution algorithms in bioinformatics.
BioData Min.
Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga
2008 J jnl
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.
Comput. Methods Programs Biomed.
Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga
2006 J jnl
Machine learning in bioinformatics.
Briefings Bioinform.
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles
2005 B conf
A multiobjective approach to the portfolio optimization problem.
Congress on Evolutionary Computation
Rubén Armañanzas, José Antonio Lozano