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SCIENTIFIC PUBLICATIONS

2021

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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
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

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
Seal, A., Bhattacharjee, D., Nasipuri, M., Gonzalo-Martin, C., & Menasalvas, E. (2016). Fusion of Visible and Thermal Images Using a Directed Search Method for Face Recognition. International Journal of Pattern Recognition and Artificial Intelligence, 31(04), 1756005. https://doi.org/10.1142/S0218001417560055