Journal papers and book chapters
- J. Pérez-Martín, I. Bermejo and F. J. Díez. Evaluation of Markov models with discontinuities. Medical Decision Making, 39 (2019) 414-420.
- F. J. Díez, M. Yebra, I. Bermejo, M. A. Palacios-Alonso, M. Arias, M. Luque and J. Pérez-Martín. Markov influence diagrams: a graphical tool for cost-effectiveness analysis. Medical Decision Making, 37 (2017) 183-195.
- A. R. Anaya, M. Luque and T. García-Saíz. Recommender system in collaborative learning environment using an influence diagram. Expert Systems with Applications, 2013, vol. 40 pp. 7193–7202.
- M. Luque and F. J. Díez. Variable elimination for influence diagrams with super-value nodes. International Journal of Approximate Reasoning, 2010, vol. 51 pp. 615-631.
- F. J. Díez Probability. M. W. Kattan (ed.), Encyclopedia of Medical Decision Making. SAGE Publications, Thousand Oaks, CA, 2009, vol. 2, pp. 51-53.
- F. J. Díez and M. J. Druzdzel Verbal expressions of probability. M. W. Kattan (ed.), Encyclopedia of Medical Decision Making. SAGE Publications, Thousand Oaks, CA, 2009, vol. 2, pp. 53-57.
- C. Lacave and F. J. Díez Étude de cas nº 6: Diagnostic médical. P. Naïm et al., Réseaux Bayésiens. Éditions Eyrolles, París (3ème édition), 2007, pp. 317-334.
- S. F. Galán, G. Arroyo-Figueroa, F. J. Díez and L. E. Sucar Comparison of two types of event Bayesian networks: A case study. Applied Artificial Intelligence, 2007, vol. 21, pp. 185-209.
- M. Arias and F. J. Díez Operating with potentials of discrete variables. International Journal of Approximate Reasoning, 2007, vol. 46 pp. 166-187.
- C. Lacave, M. Luque and F. J. Díez Explanation of Bayesian networks and influence diagrams in Elvira. Operating with potentials of discrete variables, 2007, vol. 37 pp. 952-965.
- M. A. J. van Gerven, F. J. Díez, B. G. Taal y P. J. F. Lucas Selecting treatment strategies with dynamic limited-memory influence diagrams. Artificial Intelligence in Medicine, 2007, vol. 40 pp. 171-186.
- C. Lacave, M. Luque and F. J. Díez. Explanation of Bayesian networks and influence diagrams in Elvira. IEEE Systems, Man and Cybernetics. Part B, 37 (2007) 952-965.
- C. Lacave, A. Oniśko and F. J. Díez. Use of Elvira's explanation facilities for debugging probabilistic expert systems. Knowledge-Based Systems, 19 (2006) 730-738.
- R. Duque, C. Bravo and C. Lacave. Analyzing collaborative problem solving with Bayesian networks. In: R. Ellis, T. Allen and A. Tuson (eds.), Applications and Innovations in Intelligent Systems XIV, Springer- Verlag, Cambridge, UK, 2006, pp. 33-43.
- F. J. Díez. Teaching probabilistic medical reasoning with the Elvira software. In: R. Haux and C. Kulikowski (eds.), IMIA Yearbook of Medical Informatics. Schattauer, Stuttgart, Germany, 2004, pp. 175-180.
- C. Lacave and F. J. Díez. A review of explanation methods for heuristic expert systems. Knowledge Engineering Review, 19 (2004) 133-146.
- C. Lacave and F. J. Díez. Knowledge acquisition in Prostanet, a Bayesian network for diagnosing prostate cancer. Lecture Notes in Artificial Inteligence, 2774 (2003) 1345-1350.
- F. J. Díez and S. F. Galán. Efficient computation for the noisy MAX. International Journal of Intelligent Systems, 18 (2003) 165-177.
- M. J. Druzdzel and F. J. Díez. Combining knowledge from different sources in probabilistic models. Journal of Machine Learning Research, 4 (2003) 295-316.
- F. J. Díez and M. J. Druzdzel. Reasoning under uncertainty. In: Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK, 2003, vol. 3, pp. 880-886.
- C. Lacave and F. J. Díez. A review of explanation methods for Bayesian networks. Knowledge Engineering Review, 17 (2002) 107-127.
- S. F. Galán and F. J. Díez. Networks of probabilistic events in discrete time. International Journal of Approximate Reasoning, 30 (2002) 181-202.
- S. F. Galán, F. Aguado, F. J. Díez and J. Mira. NasoNet. Modelling the spread of nasopharyngeal cancer with temporal Bayesian networks. Artificial Intelligence in Medicine, 25 (2002) 247-254.
- C. Lacave, R. Atienza and F. J. Díez. Graphical explanation in Bayesian networks, Lecture Notes in Computer Science, 1933 (2000) 122-129.
- F. J. Díez. Aplicaciones de los modelos gráficos probabilistas en medicina. In: J. A. Gámez and J. M. Puerta (eds.), Sistemas Expertos Probabilísticos, Universidad de Castilla-La Mancha, Cuenca, Spain, 1998.
- F. J. Díez, J. Mira, E. Iturralde and S. Zubillaga. DIAVAL, a Bayesian expert system for echocardiography. Artificial Intelligence in Medicine, 10 (1997) 59-73.
- F. J. Díez. Local conditioning in Bayesian networks. Artificial Intelligence, 87 (1996) 1-20.
- F. J. Díez and J. Mira. Distributed inference in Bayesian networks. Cybernetics and Systems, 25 (1994) 36-61.