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Author: Luis M. de Campos


Publication period start: 2002
Number of co-authors: 7


Number of publications with favourite co-authors
Moisés Fernández
Juan M. Fernández-Luna
Juan F. Huete

Productive Colleagues

Most productive colleagues in number of publications
José A. Gámez
Juan F. Huete
Juan M. Fernández-Luna


Acid, Silvia, Campos, Luis M. de, Fernández, Moisés (2012): Evaluation methods and strategies for the interactive use of classifiers. In International Journal of Human-Computer Studies, 70 (5) pp. 321-331. https://www.sciencedirect.com/science/article/pii/S1071581912000134

Campos, Luis M. de, Fernández-Luna, Juan M., Huete, Juan F. (2003): Implementing Relevance Feedback in the Bayesian Network Retrieval Model. In JASIST - Journal of the American Society for Information Science and Technology, 54 (4) pp. 302-313. https://dx.doi.org/10.1002/asi.10210

Campos, Luis M. de, Gámez, José A., Moral, Serafín (2003): Partial Abductive Inference in Bayesian Networks By Using Probability Trees. In: ICEIS 2003 , 2003, . pp. 83-91.

Campos, Luis M. de, Fernández-Luna, Juan M., Huete, Juan F. (2002): A Layered Bayesian Network Model for Document Retrieval. In: Crestani, Fabio, Girolami, Mark, Rijsbergen, C. J. Van (eds.) Advances in Information Retrieval - 24th BCS-IRSG European Colloquium on IR Research March 25-27, 2002, Glasgow, UK. pp. 169-182. https://link.springer.de/link/service/series/0558/bibs/2291/22910169.htm

Campos, Luis M. de, Fernández-Luna, Juan M., Huete, Juan F. (2005): Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Rem. In: Losada, David E., Fernández-Luna, Juan M. (eds.) Advances in Information Retrieval - 27th European Conference on IR Research - ECIR 2005 March 21-23, 2005, Santiago de Compostela, Spain. pp. 215-229. https://link.springer.de/link/service/series/0558/bibs/3408/34080215.htm

Campos, Luis M. de, Fernández-Luna, Juan M., Huete, Juan F., Rueda-Morales, Miguel A. (2009): Measuring predictive capability in collaborative filtering. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 313-316. https://dx.doi.org/10.1145/1639714.1639776