Isabel A. Nepomuceno-Chamorro

37 papers A 1B 1C 5Misc 2Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A flexible framework for sepsis prediction: Standardizing data management and imputation in time series using MIMIC-III. SoftwareX Javier Solís-García, Jose E. Sánchez-López, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro
2025	J	`jnl`	CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation. CoRR Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro
2025	J	`jnl`	CoSTI: Consistency models for (a faster) spatio-temporal imputation. Knowl. Based Syst. Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro
2025	J	`jnl`	Synthetic Data Generation for Healthcare: Exploring Generative Adversarial Networks Variants for Medical Tabular Data. Int. J. Data Sci. Anal. Halal Abdulrahman Ahmed, Juan A. Nepomuceno, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro
2024	J	`jnl`	A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models. Log. J. IGPL Belén Vega-Márquez, Javier Solís-García, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero
2024	J	`jnl`	TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models. CoRR Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro
2023	—	`conf`	Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder. CMSB Pelin Gundogdu, Miriam Payá-Milans, Inmaculada Alamo-Alvarez, Isabel A. Nepomuceno-Chamorro, Joaquín Dopazo, Carlos Loucera
2023	J	`jnl`	Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Appl. Intell. Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro
2023	—	`conf`	Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks. SOCO (2) Halal Abdulrahman Ahmed, Juan A. Nepomuceno, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro
2022	J	`jnl`	Generation of Synthetic Data with Conditional Generative Adversarial Networks. Log. J. IGPL Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
2022	J	`jnl`	Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput. Biol. Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab
2022	A	`conf`	Updating Prediction Models for Predictive Process Monitoring. CAiSE Alfonso E. Márquez Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés
2021	—	`conf`	An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting. SOCO Belén Vega-Márquez, Javier Solís-García, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero
2021	J	`jnl`	OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme
2020	J	`jnl`	Using prior knowledge in the inference of gene association networks. Appl. Intell. Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, José Luis Galván-Rojas, Belén Vega-Márquez, Cristina Rubio-Escudero
2019	—	`conf`	Convolutional Neural Networks for Olive Oil Classification. IWINAC (2) Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro
2019	—	`conf`	Creation of Synthetic Data with Conditional Generative Adversarial Networks. SOCO Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro
2018	J	`jnl`	Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Min. Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2017	J	`jnl`	Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. Inf. Fusion María Martínez-Ballesteros, José Manuel García-Heredia, Isabel A. Nepomuceno-Chamorro, José Cristóbal Riquelme Santos
2016	Misc	`conf`	Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. HAIS Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2016	J	`jnl`	Model tree to improve the inference of gene association networks. AI Commun. Isabel A. Nepomuceno-Chamorro
2015	J	`jnl`	Building Transcriptional Association Networks in Cytoscape with RegNetC. IEEE ACM Trans. Comput. Biol. Bioinform. Isabel A. Nepomuceno-Chamorro, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz
2015	J	`jnl`	Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Comput. Methods Programs Biomed. Juan A. Nepomuceno, Alicia Troncoso Lora, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2014	J	`jnl`	Discovering gene association networks by multi-objective evolutionary quantitative association rules. J. Comput. Syst. Sci. María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme
2013	—	`conf`	Synergies of genes in Alzheimer's disease. IWBBIO Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2011	J	`jnl`	CarGene: Characterisation of sets of genes based on metabolic pathways analysis. Int. J. Data Min. Bioinform. Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro
2011	C	`conf`	Inferring gene-gene associations from Quantitative Association Rules. ISDA María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme
2011	J	`jnl`	Prognostic transcriptional association networks: a new supervised approach based on regression trees. Bioinform. Isabel A. Nepomuceno-Chamorro, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz, Daniel R. Wagner
2010	J	`jnl`	Inferring gene regression networks with model trees. BMC Bioinform. Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme
2007	C	`conf`	A Deterministic Model to Infer Gene Networks from Microarray Data. IDEAL Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jorge García-Gutiérrez
2007	C	`conf`	Discovering IDEAL Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro
2006	C	`conf`	A Measure for Data Set Editing by Ordered Projections. IEA/AIE Jesús S. Aguilar-Ruiz, Juan A. Nepomuceno, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro
2006	B	`conf`	Databases Reduction Simultaneously by Ordered Projection. Discovery Science Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz
2006	C	`conf`	Neighborhood-Based Clustering of Gene-Gene Interactions. IDEAL Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2006	—	`conf`	RESOP: Un método para la reducción de Bases de Datos. JISBD Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez
2005	Misc	`conf`	An Approach to Reduce the Cost of Evaluation in Evolutionary Learning. IWANN Raúl Giráldez, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz
2004	J	`jnl`	A Java Simulator for Membrane Computing. J. Univers. Comput. Sci. Isabel A. Nepomuceno-Chamorro