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Rubén Armañanzas
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2020 – today
- 2024
- [i2]Marcos Lopez-De-Castro, Alberto García-Galindo, Rubén Armañanzas:
Conformal Recursive Feature Elimination. CoRR abs/2405.19429 (2024) - [i1]Darian H. Grass-Boada, Leandro González-Montesino, Rubén Armañanzas:
A Novel Algorithm for Community Detection in Networks using Rough Sets and Consensus Clustering. CoRR abs/2406.12412 (2024) - 2023
- [c7]Leandro González-Montesino, Darian H. Grass-Boada, Rubén Armañanzas:
Network Community Detection in Connectomics Data using Graph Theory. BIBM 2023: 3459-3465 - [c6]Bo Liang, Leslie S. Prichep, Saloni Kanakia, Jeffrey J. Bazarian, Tracey Covassin, R. J. Elbin, Gillian A. Hotz, Jeb F. Struder, Rubén Armañanzas:
Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion. BIBM 2023: 4086-4092 - [c5]Alberto García-Galindo, Marcos Lopez-De-Castro, Rubén Armañanzas:
An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer. COPA 2023: 74-88 - 2022
- [c4]Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano:
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. AIME 2022: 332-342 - 2021
- [c3]Rubén Armañanzas, Adrián Díaz, Mario Martínez-García, Santiago Mazuelas:
Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework. BIBM 2021: 2179-2186
2010 – 2019
- 2019
- [j13]Patricia Maraver, Rubén Armañanzas, Todd A. Gillette, Giorgio A. Ascoli:
PaperBot: open-source web-based search and metadata organization of scientific literature. BMC Bioinform. 20(1): 50 (2019) - 2017
- [j12]Rubén Armañanzas, Martina Iglesias, Dinora A. Morales, Lidia Alonso-Nanclares:
Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles. IEEE J. Biomed. Health Informatics 21(3): 778-784 (2017) - [c2]Rubén Armañanzas:
Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease. BIBM 2017: 297-304 - 2016
- [j11]Alfonso Ibáñez, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga:
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices. J. Assoc. Inf. Sci. Technol. 67(7): 1703-1721 (2016) - 2015
- [j10]Sumit Nanda, M. Mowafak Allaham, Maurizio Bergamino, Sridevi Polavaram, Rubén Armañanzas, Giorgio A. Ascoli, Ruchi Parekh:
Doubling up on the Fly: NeuroMorpho.Org Meets Big Data. Neuroinformatics 13(1): 127-129 (2015) - 2013
- [j9]Rubén Armañanzas, Concha Bielza, Kallol Ray Chaudhuri, Pablo Martínez-Martín, Pedro Larrañaga:
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach. Artif. Intell. Medicine 58(3): 195-202 (2013) - [j8]Roberto Santana, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga:
Network measures for information extraction in evolutionary algorithms. Int. J. Comput. Intell. Syst. 6(6): 1163-1188 (2013) - [j7]Miguel García-Torres, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga:
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data. Inf. Sci. 222: 229-246 (2013) - 2012
- [j6]Rubén Armañanzas, Pedro Larrañaga, Concha Bielza:
Ensemble transcript interaction networks: A case study on Alzheimer's disease. Comput. Methods Programs Biomed. 108(1): 442-450 (2012) - 2011
- [j5]Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga:
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 760-774 (2011)
2000 – 2009
- 2009
- [j4]Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga:
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. IEEE Trans. Inf. Technol. Biomed. 13(3): 341-350 (2009) - 2008
- [j3]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:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008) - [j2]Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga:
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. Comput. Methods Programs Biomed. 91(2): 110-121 (2008) - 2006
- [j1]Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles:
Machine learning in bioinformatics. Briefings Bioinform. 7(1): 86-112 (2006) - 2005
- [c1]Rubén Armañanzas, José Antonio Lozano:
A multiobjective approach to the portfolio optimization problem. Congress on Evolutionary Computation 2005: 1388-1395
Coauthor Index
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