Vega-Márquez, Belén;Nepomuceno-Chamorro, Juan Antonio;Riquelme-Santos, José Cristóbal;Nepomuceno-Chamorro, Isabel De Los Angeles:
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Applied Intelligence. 2023. 10.1007/s10489-023-05124-z.
Vega-Márquez, Belén;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles:
Generation of Synthetic Data with Conditional Generative Adversarial Networks. Interest Group in Pure and Applied Logics. Logic Journal. 2022. 10.1093/jigpal/jzaa059.
Gundogdu, Pelin;Loucera, Carlos;Alamo-Alvarez, Inmaculada;Nepomuceno-Chamorro, Isabel De Los Angeles;Dopazo-Blazquez, Joaquin:
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data. BioData Mining. 2022. 10.1186/s13040-021-00285-4.
Vega-Márquez, Belén;Nepomuceno-Chamorro, Isabel De Los Angeles;Rubio-Escudero, Cristina;Riquelme-Santos, José Cristóbal:
OCEAn: Ordinal classification with an ensemble approach. Information Sciences. 2021. Vol: 580. Pág. 221-242. 10.1016/j.ins.2021.08.081.
Pontes-Balanza, Beatriz;Delgado, Blas David;Riquelme-Santos, José Cristóbal;Lopez-, Jose Luis;Núñez-Benjumea, FJ;Rubio-Escudero, Cristina;Moreno-Conde, Alberto;Nepomuceno-Chamorro, Isabel De Los Angeles;Praena-Fernández, J.M.;Escobar, German Antonio;Parra-Calderón, Carlos Luis:
A data mining based clinical decision support system for survival in lung cancer. Reports of Practical Oncology and Radiotherapy. 2021. 10.5603/RPOR.a2021.0088.
Vega-Márquez, Belén;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles;Angel Arcos-Vargas:
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market. Applied Sciences. 2021. Vol: 11. Núm: 13. 10.3390/app11136097.
Vega-Márquez, Belén;Nepomuceno-Chamorro, Isabel De Los Angeles;Jurado-Campos, Natividad ;Rubio-Escudero, Cristina:
Deep learning techniques to improve the performance of olive oil classification. Frontiers in Chemistry. 2020. Vol: 7. Núm: 929. 10.3389/fchem.2019.00929.
Nepomuceno-Chamorro, Isabel De Los Angeles;Nepomuceno-Chamorro, Juan Antonio;Galván, José Luis;Vega-Márquez, Belén;Rubio-Escudero, Cristina:
Using prior knowledge in the inference of gene association networks. Applied Intelligence. 2020. Vol: 50. Núm: 11. Pág. 3882-3893. 10.1007/s10489-020-01705-4.
Lopez-, Jose Luis;Parra-Calderón, Carlos Luis;Riquelme-Santos, José Cristóbal;Pontes-Balanza, Beatriz;Moreno-Conde, Alberto;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles;Praena-Fernández, J.M.:
PO-0859: Project S32: decision support system for lung cancer patients. Radiotherapy and Oncology. 2018. Vol: 127. Núm: 1. Pág. S449 -S450. https://doi.org/10.1016/S0167-8140(18)31169-1.
Nepomuceno-Chamorro, Juan Antonio;Troncoso-Lora, Alicia;Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz, Jesus Salvador:
Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Mining. 2018. Vol: 11. Núm: 4. 10.1186/s13040-018-0165-9.
M. Martínez-Ballesteros;Garcia-Heredia, Jose Manuel;Nepomuceno-Chamorro, Isabel De Los Angeles;Riquelme-Santos, José Cristóbal:
Machine learning techniques to discover genes with potential prognosis role in Alzheimer¿s disease using different biological sources. Information Fusion. 2017. Vol: 36. Pág. 114-129. 10.1016/j.inffus.2016.11.005.
Rubio-Escudero, Cristina;Valverde, Justo;Rodriguez-Herrera, Alfonso;Nepomuceno-Chamorro, Isabel De Los Angeles;Pontes-Balanza, Beatriz:
Data mining techniques applied to hydrogen lactose breath test. PLoS One. 2017. Vol: 12. Núm: 1. 10.1371/journal.pone.0170385.
Nepomuceno-Chamorro, Juan Antonio;Troncoso-Lora, Alicia;Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz, Jesus Salvador:
Biclustering of gene expression data based on SimUI semantic similarity measure. Lecture Notes in Computer Science. 2016. Vol: 9648. Pág. 685-693. 10.1007/978-3-319-32034-2_57.
Nepomuceno-Chamorro, Isabel De Los Angeles;Márquez-Chamorro, Alfonso Eduardo;Aguilar-Ruiz, Jesus Salvador:
Building transcriptional association networks in Cytoscape with RegNetC. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015. Vol: 12. Núm: 4. Pág. 823-824. 10.1109/TCBB.2014.2385702.
Lopez-, Jose Luis;Ortiz-Gordillo, Maria Jose;Azinovic, Ignacio;Matute, Raúl ;Sanchez , Alberto;Pontes-Balanza, Beatriz;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles;Acevedo, Catalina;Praena, Jose Manuel:
Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy. Tumori (Testo stampato). 2015. Vol: 101. Núm: 4. Pág. 4610-4688. 10.5301/tj.5000346.
Riquelme-Santos, José Cristóbal;Azinovic, Ignacio;Lopez-, Jose Luis;Matute, Raul;Pontes-Balanza, Beatriz;Rubio-Escudero, Cristina;Nepomuceno-Chamorro, Isabel De Los Angeles;Praena, Jose Manuel;Ortiz-Gordillo, Maria Jose:
Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy. Radiotherapy and Oncology. 2014. Vol: 111. Núm: 1. 10.1016/S0167-8140(15)30841-0..
M. Martínez-Ballesteros;Nepomuceno-Chamorro, Isabel De Los Angeles;Riquelme-Santos, José Cristóbal:
Discovering gene association networks by multi-objective evolutionary quantitative association rules. Journal of Computer and System Sciences. 2014. Vol: 80. Núm: 1. Pág. 118-136. j.jcss.2013.03.010.
Nepomuceno-Chamorro, Isabel De Los Angeles;Azuaje-,Francisco;Devaux-,Yvan;Nazarov-,Petr;Muller-,Arnaud;Aguilar-Ruiz-,Jesús;Wagner-,Daniel:
PROGNOSTIC TRANSCRIPTIONAL ASSOCIATION NETWORKS: A NEW SUPERVISED APPROACH BASED ON REGRESSION TREES. Bioinformatics. 2011. Vol: 27. Núm: 2. Pág. 252-258.
Aguilar-Ruiz, Jesus Salvador;Rodríguez-Baena, Domingo Savio;Díaz-Díaz, Norberto;Nepomuceno-Chamorro, Isabel De Los Angeles:
CarGene: Characterisation of sets of genes based on metabolic pathways analysis. International Journal of Data Mining and Bioinformatics. 2011. Vol: 5. Núm: 5. Pág. 558-573. 10.1504/IJDMB.2011.043033.
Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz-,Jesús;Riquelme-Santos, José Cristóbal:
INFERRING GENE REGRESSION NETWORKS WITH MODEL TREES. BMC Bioinformatics. 2010. Vol: 11. Núm: 1. Pág. 517-517.
Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz, Jesus Salvador;Díaz-Díaz, Norberto;García-Gutiérrez, Jorge:
A DETERMINISTIC MODEL TO INFER GENE NETWORKS FROM MICROARRAY DATA. Lecture Notes in Computer Science. 2007. Vol: 4881. Pág. 850-859.
Nepomuceno-Chamorro, Isabel De Los Angeles:
DISCOVERING ALPHA-PATTERNS IN GENE EXPRESSION DATA. Lecture Notes in Computer Science. 2007. Vol: 4881. Pág. 831-839.
Nepomuceno-Chamorro, Isabel De Los Angeles;Nepomuceno-Chamorro, Juan Antonio;Ruiz-Sanchez, Roberto;Aguilar-Ruiz, Jesus Salvador:
DATABASES REDUCTION SIMULTANEOUSLY BY ORDERED PROJECTION. Lecture Notes in Computer Science. 2006. Vol: 4265. Pág. 337-341.
Aguilar-Ruiz, Jesus Salvador;Nepomuceno-Chamorro, Juan Antonio;Díaz-Díaz, Norberto;Nepomuceno-Chamorro, Isabel De Los Angeles:
A MEASURE FOR DATA SET EDITING BY ORDERED PROJECTIONS. Lecture Notes in Computer Science. 2006. Vol: 4031. Pág. 1339-1348.
Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz, Jesus Salvador:
NEIGHBORHOOD-BASED CLUSTERING OF GENE-GENE INTERACTIONS. Lecture Notes in Computer Science. 2006. Vol: 4224. Pág. 1111-1120.
Giráldez-Rojo, Raúl;Díaz-Díaz, Norberto;Nepomuceno-Chamorro, Isabel De Los Angeles;Aguilar-Ruiz, Jesus Salvador:
AN APPROACH TO REDUCE THE COST OF EVALUATION IN EVOLUTIONARY LEARNING. Lecture Notes in Computer Science. 2005. Vol: 3512. Pág. 804-811.
Nepomuceno-Chamorro, Isabel De Los Angeles:
A JAVA SIMULATOR FOR MEMBRANE COMPUTING. Journal of universal computer science. 2004. Vol: 10. Núm: 5. Pág. 620-629.