Publicaciones

Estudiante: Claudia Coscia Requena (3 JCR):

    • Coscia, C., Jaureguizar, A., Quezada, C. A., Muriel, A., Monreal, M., Villén, T., ... & Jimenez, D. (2019). Comparison of All-Cause Mortality Following VTE Treatment Between Propensity Score-Adjusted Observational Studies and Matched Randomized Controlled Trials: Meta-Epidemiologic Study. Chest, 155(4), 689-698. SCI (2018): 9.657 (CRITICAL CARE MEDICINE 4 de 33 Q1) & (RESPIRATORY SYSTEM 6 de 63 Q1)
    • Requena, C. C., Muriel, A., & Peñuelas, O. (2018). Analysis of causality from observational studies and its application in clinical research in Intensive Care Medicine. Medicina Intensiva (English Edition), 42(5), 292-300. SCI(2018) 1.982 (CRITICAL CARE MEDICINE 24 de 33 Q3)
    • Herranz, E. B., Coscia, C., Jaureguizar, A., Quezada, C. A., Muriel, A., Monreal, M., ... & Jiménez, D. (2019). Effectiveness of the tromboembolic venous disease treatments estimated through clinical trials vs. observational studies. SCI (2018) 11.807 (RESPIRATORY SYSTEM 4 de 63 Q1)

 


Estudiante: Pablo Arcadio Flores Vidal (2 JCRs + 1 SJR): Tesis Leída en curso 2018-2019

    • Flores-Vidal, P.A., Olaso, P., Gómez, D., Guada, C. A new edge detection method based on global evaluation using fuzzy clustering (2019) Soft Computing, 23 (6), pp. 1809-1821. SCI(2018): 2.784 (Q2 53/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (Q2 40/106 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    • Flores-Vidal, P.A., Villarino, G., Gómez, D., Montero, J. A new edge detection method based on global evaluation using supervised classification algorithms (2018) International Journal of Computational Intelligence Systems, 12 (1), pp. 367-378. SCI(2018): 2.153 (Q3 68/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (Q3 55/106 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    • Flores-Vidal, P.A., Gómez, D., Olaso, P., Guada, C. A new edge detection approach based on fuzzy segments clustering (2018) Advances in Intelligent Systems and Computing, 642, pp. 58-67. SJR(2018): 0.174 (Q4 99/206 Computer Science, General Computer Science).

 

Estudiante: Guillermo Villarino (2 JCRs + 1 SJR): Tesis Leída en curso 2018-2019

    • Villarino, G., Gómez, D., Rodríguez, J.T., Montero, J. A bipolar knowledge representation model to improve supervised fuzzy classification algorithms (2018) Soft Computing, 22 (15), pp. 5121-5146. SCI(2018): 2.784 (Q2 53/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (Q2 40/106 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    • Flores-Vidal, P.A., Villarino, G., Gómez, D., Montero, J. A new edge detection method based on global evaluation using supervised classification algorithms (2018) International Journal of Computational Intelligence Systems, 12 (1), pp. 367-378. SCI(2018): 2.153 (Q3 68/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE) (Q3 55/106 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
    • Villarino, G., Gómez, D., Rodríguez, J.T. Improving supervised classification algorithms by a bipolar knowledge representation (2018) Advances in Intelligent Systems and Computing, 643, pp. 518-529. SJR(2018): 0.174 (Q4 99/206 Computer Science, General Computer Science).

 

Estudiante: María Gamboa Pérez (1 JCR):

    • Gamboa, M., & Lopez-Herrero, M. J. (2018). On the Number of Periodic Inspections During Outbreaks of Discrete-Time Stochastic SIS Epidemic Models. Mathematics, 6(8), 128. SCI(2018): 1.105 (Q1 75/313 Mathematics)

 

Estudiante: María Nieves Plana Farras (2 JCRs)

    • Plana, M. N., Zamora, J., Suresh, G., Fernandez‐Pineda, L., Thangaratinam, S., & Ewer, A. K. (2018). Pulse oximetry screening for critical congenital heart defects. Cochrane Database of systematic reviews, (3). SCI(2018): 7.755 (Q1 11/160: Medicine, General & Internal)
    • Martín, A. M. A., Mendoza, J. A. B., Muriel, A., Sáez, I., Chico‐Fernández, M., Estrada‐Lorenzo, J. M., & Plana, M. N. (2019). Buffered solutions versus 0.9% saline for resuscitation in critically ill adults and children. Cochrane Database of Systematic Reviews, (7). SCI(2018): 7.755 (Q1 11/160: Medicine, General & Internal)

 

Estudiante: Antonio Salcedo Galiano (2 JCR): Tesis Leída en curso 2018-2019

    • Salcedo, A. M., & Izquierdo, G. (2018). An empirical approach to the poverty indicators based on revealed parameters: The case of Spain. Social Indicators Research, 138(2), 623-638. SCI(2018): 1.703 (Q2 36/104: Social Sciences, Interdisciplinary) & (Q2 50/148: Sociology).
    • Salcedo, Antonio M., and Gregorio Izquierdo Llanes. "Drawing the optimal monetary poverty lines based on empirical data: an application to Spain." Quality & Quantity 53.1 (2019): 513-527. SCI(2018): 1.072 (Q2 56/123: STATISTICS & PROBABILITY) .

 

Estudiante: Sabina Belope (1 JCR): Tesis Leída en curso 2018-2019

    • Belope-Nguema, S., Fernández-Cornejo, J. A., Escot, L., & Del Pozo-Garcia, E. (2018). Why Spanish Working Fathers Do not Request the Reconciliation Measures Available in Their Companies?. Social Politics: International Studies in Gender, State & Society, 25(2), 201-228. SCI(2018): 1.302 (SOCIAL ISSUES 25 de 42 Q3) & (WOMENS STUDIES 14 de 44 Q2)

 

Estudiante: Juan Antonio Guevara (1 JCR):

    • Manuel Robles, J., Atienza, J., Gómez, D., & Antonio Guevara, J. (2019). The polarization of" La Manada": the public debate in Spain and the risks of digital political communication. TEMPO SOCIAL, 31(3), 193-216. SCI(2018): 0.155 (SOCIOLOGY 146 de 148Q4).

 

Estudiante: Caio Moreno (1 JCR):

    • Moreno, C., Carrasco González, R. A. & Herrera-Viedma, E. (2019). Data and artificial intelligence strategy: A conceptual enterprise big data cloud architecture to enable market-oriented organisations, International Journal of Interactive Multimedia and Artificial Intelligence, Special Issue on Use Cases of Artificial Intelligence, Digital Marketing and Neuroscience, 7-14 (JCR pendiente de asignación de cuartil y posición)

 

Estudiante: Itzcóal Bueno (1 SJR):

    • Bueno, I., Carrasco González, R. A., Ureña, R. & Herrera-Viedma, E. (2019). Application of an opinion consensus aggregation model based on OWA operators to the recommendation of tourist sites, Procedia Computer Science, 162, 539-546. SJR(2018): 0.281 (GENERAL COMPUTER SCIENCE 66 de 206 Q2)

 

Estudiante: Rocío González (1 SJR):

    • González, R.; Carrasco González, R. A., García-Madariaga, J., Porcel, C., Herrera-Viedma, E. (2019). A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business, Procedia Computer Science, 162, 281-289. SJR(2018): 0.281 (GENERAL COMPUTER SCIENCE 66 de 206 Q2)