Publications


On this page you will find all publications made in the context of the AMIDST research project.

Reference information on all AMIDST publications can be found on CiteULike under tag "AMIDST-619209"

2017

  1. Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, and Anders L. Madsen (2017). MAP inference in dynamic hybrid Bayesian networks. In Progress in Artificial Intelligence. Vol. 6, pages 133-144. VBN. DOI.

  2. Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, and Anders L. Madsen (2017). Scaling up Bayesian variational inference using distributed computing clusters. In International Journal of Approximate Reasoning. Vol. 88, pages 435-451. DOI.

2016

  1. Masegosa, A., R., Fernandez, A. M. and Borchani, H. (2016). Probabilistic Graphical Models on Multi-Core CPUs Using Java 8. In IEEE Computational Intelligence Magazine, Vol. 11, No. 2., pages 41-54. VBN. DOI: 10.1109/mci.2016.2532267. Online access.

  2. Andres Masegosa, A. R., Fernandez., A., R., M., Ramos-López, D., Langseth, H., Nielsen, T. D., Salmerón, A., Cabañas, R., and Madsen, A. L. (2016). A Java Toolbox for Analysis of MassIve Data STreams using Probabilistic Graphical Models. Poster. European Data Forum. VBN. DOI:. Online access.

  3. Salmerón, A. Madsen, A.L., Jensen, F., Langseth, H., Nielsen, T. D., Ramos-López, D., Fernandez, A. M., and Masegosa, A., R. (2016). Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI, pages 743-750. VBN. Online access.

  4. Weidl, G., Madsen, A. L., Tereshchenko, V., Zhang, W., Wang, S., and Kasper, D. (2016). Situation Assessment and Early Recognition of Traffic Maneuvers. EUROSIM, pages 7-16. VBN. Online access.

  5. Madsen, A. L., Jensen, F., Salmeron, A., Langseth, H., Nielsen, T. D. (2016). A Parallel Algorithm for Bayesian Network Structure Learning from Large Data Sets. Knowledge-Based Systems. VBN. DOI.

  6. Masegosa, A., R., Martinez, A. M., Langseth, H., Nielsen, T. D., Salmeron, A., Ramos-Lopez, D., Madsen, A. L. (2016). d-VMP: Distributed Variational Message Passing. PGM, pp 321-332. VBN. Online access.

  7. Ramos-Lopez, D., Salmeron, A., Rumi, R., Martinez, A. M., Nielsen, T. D., Masegosa, A., R., Langseth, H., Madsen, A. L. (2016). Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. PGM, pp415-425. VBN. Online access.

2015

  1. Weidl, G., Madsen, A. L., Tereshchenko, V., Kasper, D. and Breuel, G. (2015). Early Recognition of Maneuvers in Highway Traffic . In proceedings of ECSQARU on 15-17 July 2015 in Compiegne, France, pages 529-540. VBN. DOI: 10.1007/978-3-319-20807-7. Online access.

  2. Salmerón, A, Rumi, R., Langseth, H., Madsen, A. L., Nielsen, T. D. (2015). MPE Inference in Conditional Linear Gaussian Networks. In proceedings of ECSQARU on 15-17 July 2015 in Compiegne, France, pages 407-416. VBN. DOI: 10.1007/978-3-319-20807-7. Online access.

  3. Perez-Bernabe, I. Salmerón, A, R., Langseth, H.(2015). Learning Conditional Distributions Using Mixtures of Truncated Basis Functions. In proceedings of ECSQARU on 15-17 July 2015 in Compiegne, France, pages 397-406. VBN. DOI: 10.1007/978-3-319-20807-7. Online access.

  4. Madsen, A. L. and Salmerón, A (2015). Analysis of massive data streams using R and AMIDST. In book of abstracts of useR!2015 on 30 June -3 July 2015 in Aalborg, Denmark, page 171. VBN. Online access.

  5. Borchani, H., Fernandez, A. M. M., Masegosa, A, Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L., Sáez, R. (2015). Modeling concept drift: A probabilistic graphical model based approach. In proceedings of The Fourteenth International Symposium on Intelligent Data Analysis, 22-24 October 2015 in Saint-Etienne, France, pages 72-83. VBN. Online access.

  6. Salmerón, A., Ramos-López, D., Borchani, H., Fernandez, A. M. M., Masegosa, A., Fernández, A., Langseth, H., Madsen, A. L., Nielsen, T. D. (2015). Parallel importance sampling in conditional linear Gaussian networks. The XVI Conference of the Spanish Association for Artificial Intelligence (CAEPIA'15), pages 36-46. VBN. Online access.

  7. Madsen, A. L., Jensen, F., Salmerón, A., Langseth, H., Nielsen, T. D. (2015). Parallelization of the PC Algorithm (2015). The XVI Conference of the Spanish Association for Artificial Intelligence (CAEPIA'15), pages 14-24. VBN. Online access.

  8. Borchani, H., Martinez, A. M., Masegosa, A, Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L., Sáez, R (2015). Dynamic Bayesian modeling for risk prediction in credit operations (2015). The 13th Scandinavian Conference on Artificial Intelligence, Halmstad, Sweden, November 5-6, 2015, pages 72-83. VBN. Online access.

  9. Masegosa, A, Martinez, A. M., Borchani, H., Ramos-Lopez, D., Nielsen, T. D., Langseth, H., Salmerón, Madsen, A. L. (2015). AMIDST: Analysis of MassIve Data STreams (2015). In proceedings of The 27th Benelux Conference on Artificial Intelligence, Hasselt, Belgium, November 5-6, 2015. VBN. Online access.

2014

  1. Masegosa, A. R. (2014). Stochastic Discriminative EM. In proceedings of the Uncertainty in Artificial Intelligence Conference (UAI), July 23-27, Quebec, Canada, pages 573-582. arXiv. VBNOnline access.

  2. Madsen, A. L., Jensen, F.,  Salmerón, A. Karlsen, M., Langseth, H. and Nielsen, T.D. (2014). A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. In proceedings of the Seventh European Workshop on Probabilistic Graphical Models (PGM), September 17-19, Utrecht, The Netherlands, pages 302-317. VBN. DOI: 10.1007/978-3-319-11433-0_20. Online access.

  3. Weidl, G., Madsen, A. L., Dietmar, K. and Breuer, G. (2014). Optimizing Bayesian Networks for Recognition of Driving Maneuvers to Meet the Automotive Requirements. In proceedings of 2014 IEEE Multi-Conference on Systems and Control on 8-10 October 2014 in Nice, France, pages 1626-1631. VBN. DOI: 10.1109/ISIC.2014.6967630. Online access.

  4. Hovda, S. (2014) Using pseudometrics in kernel density estimation. In Journal of Nonparametric Statistics, pages 669-696, VBN, DOI: 10.1080/10485252.2014.944524. Online access.

  5. Nielsen, T.D., Hovda, S., Fernández, A., Langseth, H., Madsen, A.L., Masegosa, A., Salmerón. A. (2014). Requirement Engineering for a Small Project with Pre-Specified Scope. NIK: Norsk Informatikkonferanse 2014 - Høgskolen i Østfold, November 17-19, Fredrikstad, Norge, 12 pages,  VBN. ISSN: 1892-0721. Online access.

 


This website uses cookies. Cookies are only used for handling login and identifying registrered users, not for visitor tracking.