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SCIENTIFIC PUBLICATIONS

2024

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Artiñano-Muñoz, R., Prieto-Santamaría, L., Pérez-Pérez, A., & Rodríguez-González, A. (2024). DRAGON: Drug Repurposing via Graph Neural Networks with Drug and Protein Embeddings as Features. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 170–175. https://doi.org/10.1109/CBMS61543.2024.00036
Collin, A., Ayuso-Muñoz, A., Tejera-Nevado, P., Prieto-Santamaría, L., Verdejo-García, A., Díaz-Batanero, C., Fernández-Calderón, F., Albein-Urios, N., Lozano, Ó. M., & Rodríguez-González, A. (2024). Analyzing Dropout in Alcohol Recovery Programs: A Machine Learning Approach. Journal of Clinical Medicine, 13(16), 4825. https://doi.org/10.3390/jcm13164825
Diaz-Honrubia, A. J., Rohde, P. D., Niazmand, E., Menasalvas, E., & Vidal, M.-E. (2024). PALADIN: A process-based constraint language for data validation. Information Fusion, 112, 102557. https://doi.org/10.1016/j.inffus.2024.102557
García Sánchez, N., Ugarte Carro, E., Prieto-Santamaría, L., & Rodríguez-González, A. (2024). Protein sequence analysis in the context of drug repurposing. BMC Medical Informatics and Decision Making, 24(1), 122. https://doi.org/10.1186/s12911-024-02531-1
García-Barragán, Á., Calatayud, A. G., Prieto-Santamaría, L., Robles, V., Menasalvas, E., & Rodríguez, A. (2024). Step-forward structuring disease phenotypic entities with LLMs for disease understanding. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 213–218. https://doi.org/10.1109/CBMS61543.2024.00043
González-Ruiz, A., Díaz-Honrubia, A. J., Tapia-Fernández, S., García-Lucas, D., Cebrián-Márquez, G., & Mengual-Galán, L. (2024). Adaptive quadtree splitting parallelization (AQSP) algorithm for the VVC standard. The Journal of Supercomputing, 80(10), 14330–14345. https://doi.org/10.1007/s11227-024-06023-x
Gravina, M., García-Pedrero, A., Gonzalo-Martín, C., Sansone, C., & Soda, P. (2024). Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data. Artificial Intelligence in Medicine, 149, 102774. https://doi.org/10.1016/j.artmed.2024.102774
Kessler-Martín, J., Fernández-Lagos, P., García-Lucas, D., Cebrián-Márquez, G., Ríos, B., Vigueras, G., & Díaz-Honrubia, A. J. (2024). Saliency Dataset and Predictive Model for Areas of Interest in VVC Perceptual Coding. 2024 IEEE International Conference on Multimedia and Expo (ICME), 1–6. https://doi.org/10.1109/ICME57554.2024.10687868
Latoja, D., Lillo-Saavedra, M., Gonzalo-Martin, C., Godoy-Faúndez, A., Somos-Valenzuela, M., & Rivera, D. (2024). Decadal Variability of Dry Days in Central Chile. Earth Systems and Environment. https://doi.org/10.1007/s41748-024-00526-6
Lillo-Saavedra, M., Velásquez-Cisterna, P., García-Pedrero, Á., Salgado-Vargas, M., Rivera, D., Cisterna-Roa, V., Somos-Valenzuela, M., Boumahdi, M., & Gonzalo-Martín, C. (2024). Socio-Hydrological Agent-Based Modeling as a Framework for Analyzing Conflicts Within Water User Organizations. Water, 16(22), 3321. https://doi.org/10.3390/w16223321
Madrid-García, A., Merino-Barbancho, B., Freites-Núñez, D., Rodríguez-Rodríguez, L., Menasalvas-Ruíz, E., Rodríguez-González, A., & Peñas, A. (2024). From Web to RheumaLpack: Creating a Linguistic Corpus for Exploitation and Knowledge Discovery in Rheumatology. Computers in Biology and Medicine, 179, 108920. https://doi.org/10.1016/j.compbiomed.2024.108920
Otero Carrasco, B., Prieto-Santamaría, L., & Rodríguez-González, A. (2024, April 26). Exploring Innovative Approaches to Drug Repurposing: Emphasizing the Relevance of Biological Pathways. RExPO24 Conference. RExPO24. https://doi.org/10.58647/REXPO.24000039.v1
Ríos-Sánchez, B., Vigueras, G., García, A., Gómez-Bravo, D., Menasalvas, E., Torrente, M., Parejo, C., Aisopos, F., Vogiatzis, D., Purohit, D., Provencio, M., Vidal, M.-E., & Rodríguez-González, A. (2024). A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. Data in Brief, 57, 111167. https://doi.org/10.1016/j.dib.2024.111167
Tejera-Nevado, P., Serrano, E., González-Herrero, A., Bermejo, R., & Rodríguez-González, A. (2024). Unlocking the power of AI models: exploring protein folding prediction through comparative analysis. Journal of Integrative Bioinformatics, 21(2). https://doi.org/10.1515/jib-2023-0041
Tercero, M. M., Prieto-Santamaría, L., & Rodríguez-González, A. (2024). Exploring Drug Repurposing Opportunities for Schizophrenia: A Network Medicine Approach. 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 106–111. https://doi.org/10.1109/CBMS61543.2024.00026
Vigueras, G., Muñoz-Gil, L., Reinisch, V., & Pinto, J. T. (2024). A PopPBPK-RL approach for precision dosing of benazepril in renal impaired patients. Journal of Pharmacokinetics and Pharmacodynamics, 52(1), 6. https://doi.org/10.1007/s10928-024-09953-4

2023

Álvarez-Pérez, A., Prieto-Santamaría, L., Ugarte-Carro, E., Otero-Carrasco, B., Ayuso-Muñoz, A., & Rodríguez-González, A. (2023). Exploring disease-drug pairs in Clinical Trials information for personalized drug repurposing. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 179–184. https://doi.org/10.1109/CBMS58004.2023.00213
Ayuso-Muñoz, A., Prieto-Santamaría, L., Álverez-Pérez, A., Otero-Carrasco, B., Serrano, E., & Rodríguez-González, A. (2023). Enhancing Drug Repurposing on Graphs by Integrating Drug Molecular Structure as Feature. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 192–197. https://doi.org/10.1109/CBMS58004.2023.00215
Ayuso-Muñoz, A., Prieto-Santamaría, L., Ugarte-Carro, E., Serrano, E., & Rodríguez-González, A. (2023). Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data. Artificial Intelligence in Medicine, 145, 102687. https://doi.org/10.1016/j.artmed.2023.102687
Boumahdi, M., García-Pedrero, A., Lillo-Saavedra, M., & Gonzalo-Martin, C. (2024). Adjustment of Sentinel-3 Spectral Bands With Sentinel-2 to Enhance the Quality of Spatio-Temporally Fused Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 584–600. https://doi.org/10.1109/JSTARS.2023.3333275
Caballero, J.-I., Cosarinsky, G., Camacho, J., Menasalvas, E., Gonzalo-Martin, C., & Sket, F. (2023). A Methodology to Automatically Segment 3D Ultrasonic Data Using X-ray Computed Tomography and a Convolutional Neural Network. Applied Sciences, 13(10), 5933. https://doi.org/10.3390/app13105933
García-Barragán, A., Solarte-Pabón, O., Nedostup, G., Provencio, M., Menasalvas, E., & Robles, V. (2023). Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 404–409. https://doi.org/10.1109/CBMS58004.2023.00252
García-Hidalgo, M., García-Pedrero, Á., Rozas, V., Sangüesa-Barreda, G., García-Cervigón, A. I., Resente, G., Wilmking, M., & Olano, J. M. (2024). Tree ring segmentation using UNEt TRansformer neural network on stained microsections for quantitative wood anatomy. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1327163
García-Lucas, D., Cebrián-Márquez, G., Díaz-Honrubia, A. J., Mallikarachchi, T., & Cuenca, P. (2023). A fast full partitioning algorithm for HEVC-to-VVC video transcoding using Bayesian classifiers. Journal of Visual Communication and Image Representation, 94, 103829. https://doi.org/10.1016/j.jvcir.2023.103829
Gómez-Bravo, D., García, A., Vigueras, G., Ríos, B., & Rodríguez-González, A. (2023). A new algorithm for Subgroup Set Discovery based on Information Gain (No. arXiv:2307.15089). arXiv. https://doi.org/10.48550/arXiv.2307.15089
Gómez-Bravo, D., García, A., Vigueras, G., Ríos-Sánchez, B., Pérez-García, A., Ospina, V., Torrente, M., Menasalvas, E., Provencio, M., & Rodríguez-González, A. (2023). Clustering-based Pattern Discovery in Lung Cancer Treatments. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 694–699. https://doi.org/10.1109/CBMS58004.2023.00302
Honrubia, A. J. D., Prieto-Santamaría, L., Rodríguez-González, A., Menasalvas-Ruiz, E., Mengual-Galán, L., & Fernández-Baizán, C. (2023). THE GREAT QUIZ OF DATABASES. INTED2023 Proceedings, 1395–1403. https://doi.org/10.21125/inted.2023.0408
Madrid-García, A., Merino-Barbancho, B., Rodríguez-González, A., Fernández-Gutiérrez, B., Rodríguez-Rodríguez, L., & Menasalvas-Ruiz, E. (2023). Understanding the role and adoption of artificial intelligence techniques in rheumatology research: An in-depth review of the literature. Seminars in Arthritis and Rheumatism, 61, 152213. https://doi.org/10.1016/j.semarthrit.2023.152213
Otero-Carrasco, B., Romero-Brufau, S., Álvarez-Pérez, A., Ayuso-Muñoz, A., Prieto-Santamaría, L., Caraça-Valente Hemández, J. P., & Rodríguez-González, A. (2023). Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 185–191. https://doi.org/10.1109/CBMS58004.2023.00214
Otero-Carrasco, B., Ugarte Carro, E., Prieto-Santamaría, L., Diaz Uzquiano, M., Caraça-Valente Hernández, J. P., & Rodríguez-González, A. (2024). Identifying patterns to uncover the importance of biological pathways on known drug repurposing scenarios. BMC Genomics, 25(1), 43. https://doi.org/10.1186/s12864-023-09913-1
Panigrahy, C., Seal, A., Gonzalo-Martín, C., Pathak, P., & Jalal, A. S. (2023). Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion. Biomedical Signal Processing and Control, 83, 104659. https://doi.org/10.1016/j.bspc.2023.104659
Solarte-Pabón, O., Montenegro, O., García-Barragán, A., Torrente, M., Provencio, M., Menasalvas, E., & Robles, V. (2023). Transformers for extracting breast cancer information from Spanish clinical narratives. Artificial Intelligence in Medicine, 143, 102625. https://doi.org/10.1016/j.artmed.2023.102625
Soriano-Garcia, M. S., Sevilla-Escoboza, R., & Garcia-Pedrero, A. (2023). Mssgan: Enforcing Multiple Generators to Learn Multiple Subspaces to Avoid the Mode Collapse. Machine Learning and Knowledge Extraction, 5(4), 1456–1473. https://doi.org/10.3390/make5040073
Tejera-Nevado, P., Serrano, E., González-Herrero, A., Bermejo-Moreno, R., & Rodríguez-González, A. (2023). Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence. In M. Rocha, F. Fdez-Riverola, M. S. Mohamad, & A. B. Gil-González (Eds.), Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023) (pp. 84–93). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-38079-2_9
Anthropic Action on Historical Shoreline Changes and Future Estimates Using GIS: Guadarmar Del Segura (Spain). (n.d.). Retrieved January 14, 2025, from https://www.mdpi.com/2076-3417/13/17/9792
Knowledge graphs for enhancing transparency in health data ecosystems - Haridimos Kondylakis, Praveen Rao, Kostas Stefanidis, Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodriguez Gonzalez, Guillermo Vigueras, Daniel Gomez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal, Kostas Stefanidis, Haridimos Kondylakis, Praveen Rao, 2023. (n.d.). Retrieved January 14, 2025, from https://journals.sagepub.com/doi/full/10.3233/SW-223294

2022

Carrasco, B. O., Pérez, A. P., Ruiz, E. M., Hernández, J. P. C.-V., Santamaría, L. P., & Rodríguez-González, A. (2022). Drug repositioning with gender perspective focused on Adverse Drug Reactions. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 435–440. https://doi.org/10.1109/CBMS55023.2022.00084
Diaz-Honrubia, A. J., Blázquez Herranz, A., Prieto Santamaría, L., Menasalvas Ruiz, E., Rodríguez-González, A., Gonzalez-Granadillo, G., Diaz, R., Panaousis, E., & Xenakis, C. (2022). A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool. Journal of Information Security and Applications, 71, 103350. https://doi.org/10.1016/j.jisa.2022.103350
García-Hidalgo, M., García-Pedrero, Á., Colón, D., Sangüesa-Barreda, G., García-Cervigón, A. I., López-Molina, J., Hernández-Alonso, H., Rozas, V., Olano, J. M., & Alonso-Gómez, V. (2022). CaptuRING: A do-it-yourself tool for wood sample digitization. Methods in Ecology and Evolution, 13(6), 1185–1191. https://doi.org/10.1111/2041-210X.13847
Gómez-Bravo, D., García, A., Vigueras, G., Ríos-Sánchez, B., Otero, B., Hernández, R., Torrente, M., Menasalvas, E., Provencio, M., & González, A. R. (2022). Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 1–7. https://doi.org/10.1109/CBMS55023.2022.00082
Julián-Jiménez, A., González del Castillo, J., García-Lamberechts, E. J., Huarte Sanz, I., Navarro Bustos, C., Rubio Díaz, R., Guardiola Tey, J. M., Llopis-Roca, F., Piñera Salmerón, P., de Martín-Ortiz de Zarate, M., Álvarez-Manzanares, J., Gamazo-Del Rio, J. J., Álvarez Alonso, M., Mora Ordoñez, B., Álvarez López, O., Ortega Romero, M. del M., Sousa Reviriego, M. del M., Perales Pardo, R., Villena García del Real, H., … on behalf of the INFURG-SEMES investigators. (2022). A bacteraemia risk prediction model: development and validation in an emergency medicine population. Infection, 50(1), 203–221. https://doi.org/10.1007/s15010-021-01686-7
Lillo-Saavedra, M., Espinoza-Salgado, A., García-Pedrero, A., Souto, C., Holzapfel, E., Gonzalo-Martín, C., Somos-Valenzuela, M., & Rivera, D. (2022). Early Estimation of Tomato Yield by Decision Tree Ensembles. Agriculture, 12(10), 1655. https://doi.org/10.3390/agriculture12101655
Morales, B., Garcia-Pedrero, A., Lizama, E., Lillo-Saavedra, M., Gonzalo-Martín, C., Chen, N., & Somos-Valenzuela, M. (2022). Patagonian Andes Landslides Inventory: The Deep Learning’s Way to Their Automatic Detection. Remote Sensing, 14(18), 4622. https://doi.org/10.3390/rs14184622
Muñoz, A. A., Carro, E. U., Santamaría, L. P., Carrasco, B. O., Ruiz, E. M., Gallardo, Y. P., & Rodríguez-González, A. (2022). REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 7–12. https://doi.org/10.1109/CBMS55023.2022.00009
Ortiz-Toro, C., García-Pedrero, A., Lillo-Saavedra, M., & Gonzalo-Martín, C. (2022). Automatic detection of pneumonia in chest X-ray images using textural features. Computers in Biology and Medicine, 145, 105466. https://doi.org/10.1016/j.compbiomed.2022.105466
Otero-Carrasco, B., Prieto Santamaría, L., Ugarte Carro, E., Caraça-Valente Hernández, J. P., & Rodríguez-González, A. (2022). Repositioning Drugs for Rare Diseases Based on Biological Features and Computational Approaches. Healthcare, 10(9), 1784. https://doi.org/10.3390/healthcare10091784
Otero-Carrasco, B., Prieto Santamaría, L., Ugarte Carro, E., Caraça-Valente Hernández, J. P., & Rodríguez-González, A. (2022). A Computational Drug Repositioning Method for Rare Diseases. In J. M. Ferrández Vicente, J. R. Álvarez-Sánchez, F. de la Paz López, & H. Adeli (Eds.), Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence (pp. 551–561). Springer International Publishing. https://doi.org/10.1007/978-3-031-06527-9_55
Pabón, O. S., Montenegro, O., Torrente, M., González, A. R., Provencio, M., & Menasalvas, E. (2022). Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. PeerJ Computer Science, 8, e913. https://doi.org/10.7717/peerj-cs.913
Pérez, A. Á., Iglesias-Molina, A., Santamaría, L. P., Poveda-Villalón, M., Badenes-Olmedo, C., & Rodríguez-González, A. (2022). EBOCA: Evidences for BiOmedical Concepts Association Ontology. In O. Corcho, L. Hollink, O. Kutz, N. Troquard, & F. J. Ekaputra (Eds.), Knowledge Engineering and Knowledge Management (pp. 152–166). Springer International Publishing. https://doi.org/10.1007/978-3-031-17105-5_11
Rodríguez-Puerta, F., Barrera, C., García, B., Pérez-Rodríguez, F., & García-Pedrero, A. M. (2022). Mapping Tree Canopy in Urban Environments Using Point Clouds from Airborne Laser Scanning and Street Level Imagery. Sensors, 22(9), 3269. https://doi.org/10.3390/s22093269

2021

Blazquez-Herranz, A., Caballero-Garzon, J.-I., Zilverberg, A., Wolff, C., Rodríguez-Gonzalez, A., & Menasalvas, E. (2021). Clustering Moving Object Trajectories: Integration in CROSS-CPP Analytic Toolbox. Applied Sciences, 11(8), 3693. https://doi.org/10.3390/app11083693
del Valle, E. P. G., Santamaría, L. P., García, G. L., Zanin, M., Ruiz, E. M., & Rodríguez-González, A. (2021). A Meta-Path-Based Prediction Method for Disease Comorbidities. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 219–224. https://doi.org/10.1109/CBMS52027.2021.00022
García del Valle, E. P., Lagunes García, G., Prieto Santamaría, L., Zanin, M., Menasalvas Ruiz, E., & Rodríguez-González, A. (2021). DisMaNET: A network-based tool to cross map disease vocabularies. Computer Methods and Programs in Biomedicine, 207, 106233. https://doi.org/10.1016/j.cmpb.2021.106233
García-Hidalgo, M., García-Pedrero, Á. M., Caetano-Sánchez, C., Gómez-España, M., Lillo-Saavedra, M., & Olano, J. M. (2021). ρ-MtreeRing: A Graphical User Interface for X-ray Microdensity Analysis. Forests, 12(10), 1405. https://doi.org/10.3390/f12101405
García-Lucas, D., Cebrián-Márquez, G., Díaz-Honrubia, A. J., Mallikarachchi, T., & Cuenca, P. (2021). Cost-efficient HEVC-based quadtree splitting (HEQUS) for VVC Video Transcoding. Signal Processing: Image Communication, 94, 116199. https://doi.org/10.1016/j.image.2021.116199
Gonzalo-Martín, C., García-Pedrero, A., & Lillo-Saavedra, M. (2021). Improving deep learning sorghum head detection through test time augmentation. Computers and Electronics in Agriculture, 186, 106179. https://doi.org/10.1016/j.compag.2021.106179
Lillo-Saavedra, M., Gavilán, V., García-Pedrero, A., Gonzalo-Martín, C., de la Hoz, F., Somos-Valenzuela, M., & Rivera, D. (2021). Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration. Remote Sensing, 13(11), 2022. https://doi.org/10.3390/rs13112022
Ntantogian, C., Laoudias, C., Honrubia, A. J. D., Veroni, E., & Xenakis, C. (2020). Cybersecurity Threats in the Healthcare Domain and Technical Solutions. In P. Vlamos, I. S. Kotsireas, & I. Tarnanas (Eds.), Handbook of Computational Neurodegeneration (pp. 1–29). Springer International Publishing. https://doi.org/10.1007/978-3-319-75479-6_38-1
Olano, J. M., García-Cervigón, A. I., Sangüesa-Barreda, G., Rozas, V., Muñoz-Garachana, D., García-Hidalgo, M., & García-Pedrero, Á. (2021). Satellite data and machine learning reveal the incidence of late frost defoliations on Iberian beech forests. Ecological Applications, 31(3), e02288. https://doi.org/10.1002/eap.2288
Prieto Santamaría, L., García del Valle, E. P., Zanin, M., Hernández Chan, G. S., Pérez Gallardo, Y., & Rodríguez-González, A. (2021). Classifying diseases by using biological features to identify potential nosological models. Scientific Reports, 11(1), 21096. https://doi.org/10.1038/s41598-021-00554-6
Prieto Santamaría, L., Díaz Uzquiano, M., Ugarte Carro, E., Ortiz-Roldán, N., Pérez Gallardo, Y., & Rodríguez-González, A. (2022). Integrating heterogeneous data to facilitate COVID-19 drug repurposing. Drug Discovery Today, 27(2), 558–566. https://doi.org/10.1016/j.drudis.2021.10.002
Redondo, A., Ríos-Sánchez, B., Vigueras, G., Otero, B., Hernández, R., Torrente, M., Menasalvas, E., Provencio, M., & Rodríguez-González, A. (2021). Towards Treatment Patterns Validation in Lung Cancer Patients. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1–8. https://doi.org/10.1109/DSAA53316.2021.9564176
Redondo, A., Ríos-Sánchez, B., Vigueras, G., Otero, B., Hernández, R., Torrente, M., Menasalvas, E., Provencio, M., & Rodríguez-González, A. (2021). Towards Treatment Patterns Validation in Lung Cancer Patients. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1–8. https://doi.org/10.1109/DSAA53316.2021.9564176
Rodríguez-González, A., Tuñas, J. M., Prieto Santamaría, L., Fernández Peces-Barba, D., Menasalvas Ruiz, E., Jaramillo, A., Cotarelo, M., Conejo Fernández, A. J., Arce, A., & Gil, A. (2020). Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences, 10(24), 9019. https://doi.org/10.3390/app10249019
Santamaría, L. P., Tuñas, J. M., Peces-Barba, D. F., Jaramillo, A., Cotarelo, M., Menasalvas, E., Fernández, A. C., Arce, A., Miguel, A. G. de, & González, A. R. (2021). Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018. Human Vaccines & Immunotherapeutics, 0(0), 1–15. https://doi.org/10.1080/21645515.2021.1877597
Santamaría, L. P., Lobón, D. F., Díaz-Honrubia, A. J., Ruiz, E. M., Nifakos, S., & Rodríguez-González, A. (2021). Towards the Representation of Network Assets in Health Care Environments Using Ontologies. Methods of Information in Medicine, 60, e89–e102. https://doi.org/10.1055/s-0041-1735621
Serrano-Carrasco, D. J., Diaz-Honrubia, A. J., & Cuenca, P. (2021). Video Compression for Screen Recorded Sequences Following Eye Movements. Journal of Signal Processing Systems, 93(12), 1457–1465. https://doi.org/10.1007/s11265-021-01719-2
Solarte Pabón, O., Torrente, M., Provencio, M., Rodríguez-Gonzalez, A., & Menasalvas, E. (2021). Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes. Applied Sciences, 11(2), 865. https://doi.org/10.3390/app11020865
Solarte-Pabón, O., Blazquez-Herranz, A., Torrente, M., Rodríguez-Gonzalez, A., Provencio, M., & Menasalvas, E. (2021). Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1–6. https://doi.org/10.1109/DSAA53316.2021.9564137
Leveraging network analysis to evaluate biomedical named entity recognition tools | Scientific Reports. (n.d.). Retrieved January 14, 2025, from https://www.nature.com/articles/s41598-021-93018-w
A data-driven methodology towards evaluating the potential of drug repurposing hypotheses - Computational and Structural Biotechnology Journal. (n.d.). Retrieved January 14, 2025, from https://www.csbj.org/article/S2001-0370(21)00334-2/fulltext

2020

Benítez-Andrades, J. A., García-Rodríguez, I., Benavides, C., Alaiz-Moretón, H., & Rodríguez-González, A. (2020). Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies. Future Generation Computer Systems, 106, 154–170. https://doi.org/10.1016/j.future.2020.01.002
Lagunes-García, G., Rodríguez-González, A., Prieto-Santamaría, L., García del Valle, E. P., Zanin, M., & Menasalvas-Ruiz, E. (2020). How Wikipedia disease information evolve over time? An analysis of disease-based articles changes. Information Processing and Management, 57(3), 102225. https://doi.org/10.1016/j.ipm.2020.102225
Lagunes-García, G., Rodríguez-González, A., Prieto-Santamaría, L., García Del Valle, E. P., Zanin, M., & Menasalvas-Ruiz, E. (2020). DISNET: a framework for extracting phenotypic disease information from public sources. PeerJ, 8, e8580. https://doi.org/10.7717/peerj.8580
Najafabadipour, M., Zanin, M., Rodríguez-González, A., Torrente, M., Nuñez García, B., Cruz Bermudez, J. L., Provencio, M., & Menasalvas, E. (2020). Reconstructing the patient’s natural history from electronic health records. Artificial Intelligence in Medicine, 105, 101860. https://doi.org/10.1016/j.artmed.2020.101860
Prieto Santamaría, L., García del Valle, E. P., Lagunes García, G., Zanin, M., Rodríguez González, A., Menasalvas Ruiz, E., Pérez Gallardo, Y., & Hernández Chan, G. S. (2020). Analysis of New Nosological Models from Disease Similarities using Clustering. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 183–188. https://doi.org/10.1109/CBMS49503.2020.00042
Rodríguez González, A., Tuñas, J. M., Fernandez Peces-Barba, D., Menasalvas Ruiz, E., Jaramillo, A., Cotarelo, M., Conejo, A., Arce, A., & Gil, A. (2020). Creating a Metamodel Based on Machine Learning to Identify the Sentiment of Vaccine and Disease-Related Messages in Twitter: the MAVIS Study. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 245–250. https://doi.org/10.1109/CBMS49503.2020.00053
Seal, A., Karlekar, A., Krejcar, O., & Gonzalo-Martin, C. (2020). Fuzzy c-means clustering using Jeffreys-divergence based similarity measure. Applied Soft Computing, 88, 106016. https://doi.org/10.1016/j.asoc.2019.106016
Seal, A., Garcia-Pedrero, A., Bhattacharjee, D., Nasipuri, M., Lillo-Saavedra, M., Menasalvas, E., & Gonzalo-Martin, C. (2020). Multi-scale RoIs selection for classifying multi-spectral images. Multidimensional Systems and Signal Processing, 31(2), 745–769. https://doi.org/10.1007/s11045-019-00684-1
Solarte-Pabón, O., Menasalvas, E., & Rodriguez-González, A. (2020). Spa-neg: An Approach for Negation Detection in Clinical Text Written in Spanish. In I. Rojas, O. Valenzuela, F. Rojas, L. J. Herrera, & F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering (pp. 323–337). Springer International Publishing. https://doi.org/10.1007/978-3-030-45385-5_29
Solarte-Pabon, O., Torrente, M., Rodriguez-González, A., Provencio, M., Menasalvas, E., & Tuñas, J. M. (2020). Lung Cancer Diagnosis Extraction from Clinical Notes Written in Spanish. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 492–497. https://doi.org/10.1109/CBMS49503.2020.00099
Zanin, M., Ruiz, E. M., Rodríguez-González, A., Wolff, C., Wendt, J., Herrmann, E. A., & Smrz, P. (2020). Developing a Data Analytics Toolbox to Support CPS-based Services. 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1–7. https://doi.org/10.1109/MECO49872.2020.9134351

2019

Cruz Bermudez, J. L., Parejo, C., Martinez Ruiz, F., Sanchez González, J. C., Gomez Bravo, R., Ramos Martín-Vegué, A., Royuela, A., Rodríguez-González, A., Menasalvas-Ruiz, E., & Provencio, M. (2019). Aplicación de métodos y herramientas de la ciencia de datos para el análisis del coste de la asistencia sanitaria de los pacientes con cáncer de pulmón en un hospital universitario de tercer nivel en España. Revista Española de Economía de La Salud, 14(1). https://www.economiadelasalud.com/Articulo.aspx?i=v14n1d015
Cruz, J. L., Provencio, M., Menasalvas, E., Parejo, C., Martínez-Ruíz, F., Sánchez-González, J. C., Gómez-Bravo, R., Martín-Vegue, A. R., Royuela, A., & Rodríguez-González, A. (2019). P1.16-12 An Analysis of Healthcare Use and the Cost Associated to End-of-Life Care of Lung Cancer Patients in a Spanish Hospital. Journal of Thoracic Oncology, 14(10), S590–S591. https://doi.org/10.1016/j.jtho.2019.08.1238
Cruz-Bermúdez, J. L., Parejo, C., Martínez-Ruíz, F., Sánchez-González, J. C., Ramos Martín-Vegue, A., Royuela, A., Rodríguez-González, A., Menasalvas-Ruiz, E., & Provencio, M. (2019). Applying Data Science methods and tools to unveil healthcare use of lung cancer patients in a teaching hospital in Spain. Clinical and Translational Oncology, 21(11), 1472–1481. https://doi.org/10.1007/s12094-019-02074-2
Del Valle, E. P. G., Garcia, G. L., Ruiz, E. M., Santamaria, L. P., Zanin, M., & Rodriguez-Gonzalez, A. (2019). Completing missing MeSH code mappings in UMLS through alternative expert-curated sources. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 174–179. https://doi.org/10.1109/CBMS.2019.00044
Diaz-Honrubia, A. J., Gonzalez, A. R., Zamorano, J. M., Jimenez, J. R., Gonzalez-Granadillo, G., Diaz, R., Konidi, M., Papachristou, P., Nifakos, S., Kougka, G., & Gounaris, A. (2019). An overview of the CUREX platform. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 162–167. https://doi.org/10.1109/CBMS.2019.00042
Garcia, G. L., & Gonzalez, A. R. (2019). Characterization of diseases based on phenotypic information through knowledge extraction using public sources. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 596–599. https://doi.org/10.1109/CBMS.2019.00124
García del Valle, E. P., Lagunes García, G., Prieto Santamaría, L., Zanin, M., Menasalvas Ruiz, E., & Rodríguez-González, A. (2019). Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources (Vol. 94). Academic Press Inc. https://doi.org/10.1016/j.jbi.2019.103206
Garcia, G. L., Santamaria, L. P., Del Valle, E. P. G., Zanin, M., Ruiz, E. M., & Gonzalez, A. R. (2019). Wikipedia disease articles: An analysis of their content and evolution. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 664–671. https://doi.org/10.1109/CBMS.2019.00136
García-Pedrero, A., Lillo-Saavedra, M., Rodríguez-Esparragón, D., & Gonzalo-Martín, C. (2019). Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System. IEEE Access, 7, 158223–158236. https://doi.org/10.1109/ACCESS.2019.2950371
Garcia-Pedrero, A., García-Cervigón, A. I., Olano, J. M., García-Hidalgo, M., Lillo-Saavedra, M., Gonzalo-Martín, C., Caetano, C., & Calderón-Ramírez, S. (2019). Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images. Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04546-6
Ibarrola-Ulzurrun, E., Drumetz, L., Marcello, J., Gonzalo-Martín, C., & Chanussot, J. (2019). Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Transactions on Geoscience and Remote Sensing, 57(7), 4775–4788. https://doi.org/10.1109/TGRS.2019.2892903
Ibarrola‐Ulzurrun, E., Marcello, J., Gonzalo‐Martín, C., & Martín‐Esquivel, J. L. (2019). Temporal dynamic analysis of a mountain ecosystem based on multi-source and multi-scale remote sensing data. Ecosphere, 10(6), e02708. https://doi.org/10.1002/ecs2.2708
Karlekar, A., Seal, A., Krejcar, O., & Gonzalo-Martin, C. (2019). Fuzzy K-Means Using Non-Linear S-Distance. IEEE Access, 7, 55121–55131. https://doi.org/10.1109/ACCESS.2019.2910195
Krithara, A., Aisopos, F., Rentoumi, V., Nentidis, A., Bougatiotis, K., Vidal, M. E., Menasalvas, E., Rodriguez-Gonzalez, A., Samaras, E., Garrard, P., Torrente, M., Provencio Pulla, M., Dimakopoulos, N., Mauricio, R., De Argila, J. R., Tartaglia, G. G., & Paliouras, G. (2019). IASiS: Towards heterogeneous big data analysis for personalized medicine. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 106–111. https://doi.org/10.1109/CBMS.2019.00032
Marcello, J., Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., Chanussot, J., & Vivone, G. (2019). Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 57(10), 8208–8222. https://doi.org/10.1109/TGRS.2019.2918932
Najafabadipour, M., Tuñas, J. M., Rodríguez-González, A., & Menasalvas, E. (2019). Analysis of Electronic Health Records to Identify the Patient’s Treatment Lines: Challenges and Opportunities. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11927 LNAI, 437–442. https://doi.org/10.1007/978-3-030-34885-4_33
Najafabadipour, M., Tuñas, J. M., Rodríguez-González, A., & Menasalvas, E. (2019). Lung cancer concept annotation from Spanish clinical narratives. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11371 LNBI, 153–163. https://doi.org/10.1007/978-3-030-06016-9_15
Najafabadipour, M., Zanin, M., Rodriguez-Gonzalez, A., Gonzalo-Martin, C., Garcia, B. N., Calvo, V., Bermudez, J. L. C., Provencio, M., & Menasalvas, E. (2019). Recognition of time expressions in Spanish electronic health records. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 69–74. https://doi.org/10.1109/CBMS.2019.00025
Núñez-García, B., Torrente, M., Menasalvas, E., Tuñas, J. M., Rodríguez-González, A., Franco, F., De Juan, V. C., & Provencio, M. (2019). P2.16-20 Big Data and Survival Predictors in Lung Cancer Patients. Journal of Thoracic Oncology, 14(10), S873. https://doi.org/10.1016/j.jtho.2019.08.1887
Rodríguez-González, A., Zanin, M., & Menasalvas-Ruiz, E. (2019). Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology. Yearbook of Medical Informatics, 28(1), 224–231. https://doi.org/10.1055/s-0039-1677910
Sánchez-Cervantes, J. L., Colombo-Mendoza, L. O., Alor-Hernández, G., García-Alcaráz, J. L., Álvarez-Rodríguez, J. M., & Rodríguez-González, A. (2019). LINDASearch: a faceted search system for linked open datasets. Wireless Networks. https://doi.org/10.1007/s11276-019-02029-z
Toro, C. A. O., Sanchez, N. G., Gonzalo-Martin, C., Garcia, R. G., Gonzalez, A. R., & Ruiz, E. M. (2019). Radiomics textural features extracted from subcortical structures of grey matter probability for alzheimers disease detection. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019-June, 391–397. https://doi.org/10.1109/CBMS.2019.00084
Torrente, M., Rodríguez-González, A., Menasalvas, E., & Provencio, M. (2019). ¿Puede data science ayudarnos a mejorar el pronóstico y tratamiento del paciente oncológico? | Comunicación y Hombre. Comunicación y Hombre, 16. https://comunicacionyhombre.com/article/puede-data-science-ayudarnos-mejorar-pronostico-tratamiento-del-paciente-oncologico/
Torrente, M., Núñez-García, B., Franco, F., De Juan, V. C., Menasalvas, E., Rodríguez-González, A., Parejo, C., & Provencio, M. (2019). MA16.03 Big Data Analysis for Personalized Medicine in Lung Cancer Patients. Journal of Thoracic Oncology, 14(10), S313–S314. https://doi.org/10.1016/j.jtho.2019.08.630

2018

Benítez-Andrades, J. A., Rodríguez-González, A., Benavides, C., Sánchez-Valdeón, L., & García, I. (2018). A semantic social network analysis tool for sensitivity analysis and what-if scenario testing in alcohol consumption studies. International Journal of Environmental Research and Public Health, 15(11). https://doi.org/10.3390/ijerph15112420
Colombo-Mendoza, L. O., Valencia-García, R., Rodríguez-González, A., Colomo-Palacios, R., & Alor-Hernández, G. (2018). Towards a knowledge-based probabilistic and context-aware social recommender system. Journal of Information Science, 44(4), 464–490. https://doi.org/10.1177/0165551517698787
Del Valle, E. P. G., Garcia, G. L., Prieto Santamaria, L., Zanin, M., Ruiz, E. M., & González, A. R. (2018). Evaluating Wikipedia as a Source of Information for Disease Understanding. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2018-June, 399–404. https://doi.org/10.1109/CBMS.2018.00076
Garcia-Pedrero, A., Gonzalo-Martín, C., Lillo-Saavedra, M., & Rodríguez-Esparragón, D. (2018). The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation. Remote Sensing, 10(12), 1991. https://doi.org/10.3390/rs10121991
Lillo-Saavedra, M., García-Pedrero, A., Merino, G., & Gonzalo-Martín, C. (2018). TS2uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery. Remote Sensing, 10(2), 249. https://doi.org/10.3390/rs10020249
Menasalvas, E., Rodriguez-González, A., & Gonzalo, C. (2018). Mining Electronic Health Records: Challenges and Impact. Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018, 747–754. https://doi.org/10.1109/SITIS.2018.00119
Menasalvas Ruiz, E., Tuñas, J. M., Bermejo, G., Gonzalo Martín, C., Rodríguez-González, A., Zanin, M., González de Pedro, C., Méndez, M., Zaretskaia, O., Rey, J., Parejo, C., Cruz Bermudez, J. L., & Provencio, M. (2018). Profiling Lung Cancer Patients Using Electronic Health Records. Journal of Medical Systems, 42(7), 126. https://doi.org/10.1007/s10916-018-0975-9
Rodríguez-Esparragón, D., Marcello, J., Gonzalo-Martín, C., García-Pedrero, Á., & Eugenio, F. (2018). Assessment of the spectral quality of fused images using the CIEDE2000 distance. Computing, 100(11), 1175–1188. https://doi.org/10.1007/s00607-018-0640-7
Rodríguez-González, A., Costumero, R., Martinez-Romero, M., Wilkinson, M. D., & Menasalvas-Ruiz, E. (2018). Extracting Diagnostic Knowledge from MedLine Plus: A Comparison between MetaMap and cTAKES Approaches. Current Bioinformatics, 13(6), 573–582. https://doi.org/10.2174/1574893612666170727094502
Seal, A., Bhattacharjee, D., Nasipuri, M., Gonzalo‐Martin, C., & Menasalvas, E. (2018). À-trous wavelet transform-based hybrid image fusion for face recognition using region classifiers. Expert Systems, 35(6), e12307. https://doi.org/10.1111/exsy.12307
Seal, A., Bhattacharjee, D., Nasipuri, M., Rodríguez‐Esparragón, D., Menasalvas, E., & Gonzalo‐Martin, C. (2018). PET-CT image fusion using random forest and à-trous wavelet transform. International Journal for Numerical Methods in Biomedical Engineering, 34(3), e2933. https://doi.org/10.1002/cnm.2933
Toro, C. A. O., Gonzalo-Martín, C., García-Pedrero, A., & Menasalvas Ruiz, E. (2018). Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker. Sensors, 18(6), 1752. https://doi.org/10.3390/s18061752
Wandelt, S., Sun, X., Menasalvas, E., Rodríguez-González, A., & Zanin, M. (2019). On the use of random graphs as null model of large connected networks. Chaos, Solitons and Fractals, 119, 318–325. https://doi.org/10.1016/j.chaos.2018.12.032
Zanin, M., Rodríguez-González, A., Ruiz, E. M., & Papo, D. (2018). Assessing time series reversibility through permutation patterns. Entropy, 20(9), 665. https://doi.org/10.3390/e20090665

2017

Aparicio-Paniagua, V., Pérez-Muñoz, J., Rodríguez-González, A., García-Pedrero, Á., Gomez-Berbis, J. M., Gonzalo-Martin, C., Menasalvas-Ruiz, E., & Alor-Hernández, G. (2017). Automatic Recording and Analysis of Somniloquy Through the Use of Mobile Devices to Support the Diagnosis of Psychological Pathologies. Communications in Computer and Information Science, 749, 169–180. https://doi.org/10.1007/978-3-319-67283-0_13
Costumero, R., Sánchez, J., García-Pedrero, Á., Rivera, D., Lillo, M., Gonzalo-Martín, C., & Menasalvas, E. (2017). Geography of legal water disputes in Chile. Journal of Maps, 13(1), 7–13. https://doi.org/10.1080/17445647.2016.1252803
García-Pedrero, A., Gonzalo-Martín, C., & Lillo-Saavedra, M. (2017). A machine learning approach for agricultural parcel delineation through agglomerative segmentation. International Journal of Remote Sensing, 38(7), 1809–1819. https://doi.org/10.1080/01431161.2016.1278312
Gonzalo-Martín, C., Lillo-Saavedra, M. F., Rodriguéz-Esparragón, D., García-Pedrero, A. M., & Rodriguez-Gonzalez, A. (2017). Increasing the UAV data value by an OBIA methodology. In L. Bruzzone, F. Bovolo, & J. A. Benediktsson (Eds.), Image and Signal Processing for Remote Sensing XXIII (Vol. 10427, p. 32). SPIE. https://doi.org/10.1117/12.2277891
Gonzalo-Martín, C., Lillo-Saavedra, M., García-Pedrero, A., Lagos, O., & Menasalvas, E. (2017). Daily Evapotranspiration Mapping Using Regression Random Forest Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(12), 5359–5368. https://doi.org/10.1109/JSTARS.2017.2733958
Ibarrola-Ulzurrun, E., Gonzalo-Martin, C., Marcello-Ruiz, J., Garcia-Pedrero, A., & Rodriguez-Esparragon, D. (2017). Fusion of High Resolution Multispectral Imagery in Vulnerable Coastal and Land Ecosystems. Sensors, 17(2), 228. https://doi.org/10.3390/s17020228
Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., & Marcello, J. (2017). Influence of Pansharpening in Obtaining Accurate Vegetation Maps. Canadian Journal of Remote Sensing, 43(6), 528–544. https://doi.org/10.1080/07038992.2017.1371583
Ibarrola-Ulzurrun, E., Marcello, J., & Gonzalo-Martin, C. (2017). Assessment of Component Selection Strategies in Hyperspectral Imagery. Entropy, 19(12), 666. https://doi.org/10.3390/e19120666
Menasalvas, E., Gonzalo, C., & Rodríguez-González, A. (2017). Big Data en salud: retos y oportunidades. Economía Industrial, 405. https://www.mincotur.gob.es/Publicaciones/Publicacionesperiodicas/EconomiaIndustrial/RevistaEconomiaIndustrial/405/MENASALVAS,%20GONZALO%20Y%20RODR%C3%8DGUEZ.pdf
Menasalvas-Ruiz, E., Gonzalo, C., Tunas, J. M., Rodriguez-Gonzalez, A., Provencio, M., Pedro, C. G. D., Mendez, M., Zaretskaia, O., Cruz, J. L., Rey, J., & Parejo, C. (2017). OncoCall: Analyzing the Outcomes of the Oncology Telephone Patient Assistance. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2017-June, 624–629. https://doi.org/10.1109/CBMS.2017.103
Panigrahy, C., Garcia-Pedrero, A., Seal, A., Rodríguez-Esparragón, D., Mahato, N. K., & Gonzalo-Martín, C. (2017). An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images. Entropy, 19(10), 534. https://doi.org/10.3390/e19100534
Rodríguez-González, A., Fernandez Peces-Barba, D., Lorenzo-Gomez, F. B., Lorenzo-Gomez, F. B., Lorenzo-Gomez, F. B., Pulido Garcia-Duarte, L., Garcia-Pedrero, A., Menasalvas, E., Gonzalo, C., Robles, V., Boyer Lagos, M., Domecq Urquijo, M. I., Carrillo Troya, M. J., & Esteban Uceda, J. L. (2017). Uso de tarjeta universitaria y tecnología móvil para el control de acceso a instalaciones universitarias ysu posterior análisis en términos de rendimiento académico y control de asistencia en clase - [Use of university card and mobile technology to study and improve academic performance and class attendance control]. 1–6. https://doi.org/10.26754/cinaic.2017.000001_023
Rubio-López, I., Costumero, R., Ambit, H., Gonzalo-Martín, C., Menasalvas, E., & González, A. R. (2017). Acronym Disambiguation in Spanish Electronic Health Narratives Using Machine Learning Techniques. Studies in Health Technology and Informatics, 235, 251–255. https://doi.org/10.3233/978-1-61499-753-5-251
Toro, C. A. O., Martín, C. G., Pedrero, A. G., Gonzalez, A. R., & Menasalvas, E. (2017). Mitosis detection in breast cancer using superpixels and ensemble classifiers. Advances in Intelligent Systems and Computing, 616, 137–145. https://doi.org/10.1007/978-3-319-60816-7_17

2016

Hernández-Chan, G. S., Ceh-Varela, E. E., Sanchez-Cervantes, J. L., Villanueva-Escalante, M., Rodríguez-González, A., & Pérez-Gallardo, Y. (2016). Collective intelligence in medical diagnosis systems: A case study. Computers in Biology and Medicine, 74, 45–53. https://doi.org/10.1016/j.compbiomed.2016.04.016
Lillo-Saavedra, M., Gonzalo-Martín, C., García-Pedrero, A., & Lagos, O. (2016). Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes. Remote Sensing, 8(10), 870. https://doi.org/10.3390/rs8100870
Menasalvas, E., Rodriguez-Gonzalez, A., Costumero, R., Ambit, H., & Gonzalo, C. (2016). Clinical narrative analytics challenges. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9920 LNAI, 23–32. https://doi.org/10.1007/978-3-319-47160-0_2
Rivera, D., Godoy-Faúndez, A., Lillo, M., Alvez, A., Delgado, V., Gonzalo-Martín, C., Menasalvas, E., Costumero, R., & García-Pedrero, Á. (2016). Legal disputes as a proxy for regional conflicts over water rights in Chile. Journal of Hydrology, 535, 36–45. https://doi.org/10.1016/j.jhydrol.2016.01.057
Rodríguez-González, A., Menasalvas Ruiz, E., & Mayer Pujadas, M. A. (2016). Automatic extraction and identification of users’ responses in Facebook medical quizzes. Computer Methods and Programs in Biomedicine, 127, 197–203. https://doi.org/10.1016/j.cmpb.2015.12.025
Rodríguez-Iglesias, A., Rodríguez-González, A., Irvine, A. G., Sesma, A., Urban, M., Hammond-Kosack, K. E., & Wilkinson, M. D. (2016). Publishing FAIR data: An exemplar methodology utilizing PHI-base. Frontiers in Plant Science, 7(MAY2016), 641. https://doi.org/10.3389/fpls.2016.00641
Sánchez-Cervantes, J. L., Radzimski, M., Rodriguez-Enriquez, C. A., Alor-Hernández, G., Rodríguez-Mazahua, L., Sánchez-Ramírez, C., & Rodríguez-González, A. (2016). SREQP: A Solar Radiation Extraction and Query Platform for the Production and Consumption of Linked Data from Weather Stations Sensors. Journal of Sensors, 2016, 2825653. https://doi.org/10.1155/2016/2825653
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