Grupo ISIS

Grupo ISIS

Ingeniería de Sistemas IntegradoS

Español(Spanish Formal International)English (United Kingdom)
Feeds Sitemap
Error
  • Error cargando datos de una subscripción

Grupo ISIS - Inteligencia Computacional

Filter:
 

Año: 2017

  • A. Becerra-García, R., V. García-Bermúdez, R., Joya Caparrós, G., Fernández-Higuera, A., Velázquez-Rodríguez, C., Velázquez-Mariño, M. et al. (2017). Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing, 250, 28-36. [Más]
  • Ballesteros-Gómez, A., Ballesteros Gómez, J., Ortiz, X., Jonker, W., Helmus, R., J. Jobst, K. et al. (2017). Identification of Novel Brominated Compounds in Flame Retarded Plastics Containing TBBPA by Combining Isotope Pattern and Mass Defect Cluster Analysis. Environmental. Science and Technology, 51(3), 1518-1526. [Más]
  • Rojas, I. & Ortuño, F., editores. (2017). Evaluation of the differentiation of noisy electrooculographic records using continuous wavelet transform, Lecture Notes in Computer Science (LNCS), including it subserie Lecture Notes in Bioinformatics (LNBI), Cham, Springer, Universidad de Granada. [Más]
  • Herrero Reder, I., Urdiales García, C., Peula Palacios, J. M. & Sandoval Hernández, F. (2017). CBR-based reactive behavior learning for the Memory-Prediction Framework. Neurocomputing, 250, 18-27. [Más]
  • Rojas, I., Joya, G. & Catala, A., editores. (2017). Biomimetic navigation using CBR, Lecture Notes in Computer Science (LNCS), Cham, Springer, Universidad de Málaga. [Más]
  • Rojas, I., Joya, G. & Catala, A., editores. (2017). Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images, Lecture Notes in Computer Science (LNCS), Cham, Springer, Universidad de Málaga. [Más]
  • Rojas, I., Joya, G. & Catala, A., editores. (2017). Uncertainties analysis of a spectral analysis method based on ANN by means of Monte Carlo, Lecture Notes in Computer Science (LNCS), Cham, Springer, Universidad de Málaga. [Más]
  • Sandoval Hernández, F., Prieto, A. & Atencia Ruiz, M. (2017). New Trends in Computational Intelligence. Neurocomputing, 250, 1-4. [Más]
  • Rojas, I., Joya, G. & Catala, A., editores. (2017). Architecture for neurological coordination tests implementation, Lecture Notes in Computer Science (LNCS), Cham, Springer, Universidad de Málaga. [Más]

Año: 2016

  • Fernández-Gámez, M., García Lagos, F. & Sánchez-Serrano, J. (2016). Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks. Neural Computing and Applications, 27, 1427-1444. [Más]
  • Salinas Vázquez, J. R., García Lagos, F., Díaz de Aguilar, J., Joya Caparrós, G., Lapuh, R. & Sandoval Hernández, F. (2016). Harmonics and Interharmonics Spectral Analysis by ANN, Ottawa, Canada, 2016 Conference on Precision Electromagnetic Measurements (CPEM 2016). [Más]
  • Velázquez Mariño, M., Atencia Ruiz, M., García Bermúdez, R. V., Pupo Ricardo, D., A. Becerra-García, R. & Velázquez Pérez, L. (2016). Contribution analysis of extracted variables from Finger-Nose-Finger test to the classification of SCA2 patients, Havana, Cuba, III International Conference on Informatics and Computer Sciences. [Más]

Año: 2015

  • Atencia Ruiz, M. & Joya Caparrós, G. (2015). Hopfield networks: From optimization to adaptive control, Killarney, Ireland, IEEE International Joint Conference on Neural Networks (IJCNN 2015). [Más]
  • Becerra Gacía, R., García Bermúdez, R., Joya Caparrós, G., Fernández Higuera, A., Velázquez Rodríguez, C., Velázquez Mariño, M. et al (2015). Non spontaneous saccadic movements identification in clinical electrooculography using machine learning, páginas 56–68. Springer Heidelberg. [Más]
  • Becerra García, R., García Bermúdez, R., Joya Caparrós, G., Fernández Higuera, A., Velázquez Rodríguez, C., Velázquez Mariño, M. et al. (2015). Non spontaneous saccadic movements identification in clinical electrooculography using machine learning, Palma de Mallorca, Islas Baleares (Spain), 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). [Más]
  • Fernández Gámez, M. A., García Lagos, F. & Sánchez Serrano, J. R. (2015). Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks. Neural Computing and Applications, . [Más]
  • Rojas, I., Joya Caparrós, G., Catala, A. & (Editores). (2015a). Advances in Computational Intelligence, Part II. Springer Heidelberg. [Más]
  • Rojas, I., Joya Caparrós, G., Catala, A. & (Editores). (2015b). Advances in Computational Intelligence, Part I. Springer Heidelberg. [Más]
  • Velázquez Mariño, M., Atencia Ruiz, M., García Bermúdez, R., Pupo Ricardo, D., Becerra García, R., Velázquez Pérez, L. et al (2015a). Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment, páginas 524–535. Springer Heidelberg. [Más]
  • Velázquez Mariño, M., Atencia Ruiz, M., García Bermúdez, R., Pupo Ricardo, D., Becerra García, R., Velázquez Pérez, L. et al. (2015b). Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment, Palma de Mallorca, Islas Baleares (Spain), 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). [Más]
Resultados 21 - 40 de 282
<< Inicio < Anterior 1 2 3 4 5 6 7 8 9 10 Siguiente > Fin >>

Noticias

aibo.gif