Lista de Publicaciones/Publications List


Esta página contiene el índice de nuestras publicaciones. Algunas de ellas tienen hiperlinks al abstracts (en HTML). Puedes ver el abstract pinchando en la palabra "abstract".
Algunas publicaciones tienen hiperlinks a la versión postcript del artículo completo. Puedes obtener la versión postcript pinchando en las palabras "full paper".
This page contains the index of our publications. Some of them have hiperlinks to the abstracts (in HTML). You can see the abstract by clicking in the word "abstract".
Some publications have hiperlinks to the postscript version of the full paper. You can obtain the postcript version by clicking in the words "full paper".
  1. S. Moral, A. Pulido and P. Valenzuela. (1984) Aplicación de los análisis cluster al estudio de las características físico-químicas de las aguas subterráneas. Estudios Geológicos 40, 193-200.
  2. S. Moral. (1984) Un Estudio sobre la información proporcionada por una restricción difusa. Actas del XIV Congreso de la SEEIO, Granada, 720-730.
  3. M.J. Bolaños, M.T. Lamata and S. Moral. (1985) A Decision Model under General Information. BUSEFAL 24, 56-63.
  4. M.J. Bolaños, M.T. Lamata and S. Moral. (1986) A Decision Model under General Information. Part II: Decision Rules. BUSEFAL 27, 105-110.
  5. M. Delgado, M.T. Lamata and S. Moral. (1986) Decision Making with General Information. Proceedings of FISAL-86, 51-61.
  6. M.T. Lamata, S. Moral and M.A. Vila. (1986) Evidential Reasoning in Fuzzy Classifications. Proceedings of FISAL-86, 91-104.
  7. S. Moral. (1986) Construction of a probability distribution from a fuzzy information. In: Fuzzy Sets Theory and Applications (A. Jones, A. Kaufmann, H.J. Zimmermann, eds.), D. Reidel Publ. Comp. (Dordrecht) 51-60.
  8. M. Delgado and S. Moral. (1987) On the concept of possibility-probability consistency. Fuzzy Sets and Systems 21, 311-318. Also in: Readings in Fuzzy Sets for Intelligent Systems (D. Dubois, H. Prade, R. Yager, eds.) Morgan and Kaufmann, (San Mateo, 1993) 247-250
  9. M. Delgado and S. Moral. (1987) A definition of inclusion for evidence. Fuzzy Mathematics 7, 81-87.
  10. M.J. Bolaños, M.T. Lamata and S. Moral. (1987) La esperanza monótona: Una generalización de la esperanza probabilística. Actas de la XV Reunión Nacional de la SEEIO. Gijón. Vol. 1, 57-64.
  11. M.J. Bolaños, M.T. Lamata and S. Moral. (1987) Alternativas para la extensión de medidas difusas. Actas de la XV Reunión Nacional de la SEEIO. Gijón. Vol. 1, 65-71
  12. M.J. Bolaños, M.T. Lamata and S. Moral. (1987) Extensión de Medidas Difusas Usando la Esperanza Monótona. Stochastica XI-2,3, 75-92.
  13. A. González, M.A. Vila and L.M. de Campos. (1987). On subjective order relations between fuzzy numbers. BUSEFAL 33, 9-18.
  14. M.T. Lamata and S. Moral. (1988) Medidas de Entropía en la Teoría de la Evidencia. Trabajos de Estadistica 3, 15-31.
  15. M.T. Lamata and S. Moral. (1988) Entropy Measures in Theory of Evidence. International Journal of General Systems 14, 297-305.
  16. M. Delgado and S. Moral. (1988) Reliability Concepts under the Theory of Evidence. European Journal of Operational Research 35, 89-97.
  17. M.J. Bolaños, M.T. Lamata and S. Moral. (1988) Decision Making Problems in a General Environment. Fuzzy Sets and Systems 25, 135-144.
  18. L.M. de Campos, M.T. Lamata and S. Moral. (1988). Logical connectives for combining fuzzy measures. In Methodologies for Intelligent Systems 3, Z.W. Ras and L. Saitta (Eds.) 11-18, North-Holland.
  19. M.T. Lamata, S. Moral L.M. de Campos. (1988) Una visión unificada de los operadores en la Teoría de la Evidencia. Stochastica XI-1, 33-47.
  20. M.T. Lamata and S. Moral. (1989) Classification of Fuzzy Measures. Fuzzy Sets and Systems 33, 243-253.
  21. M. Delgado and S. Moral. (1989) Upper and Lower Fuzzy Measures. Fuzzy Sets and Systems , 33 191-200.
  22. L.M. de Campos and A. González. (1989). A subjective approach for ranking fuzzy numbers. Fuzzy Sets and Systems 29, 145-153.
  23. L.M. de Campos and M.J. Bolaños. (1989). Representation of fuzzy measures through probabilities. Fuzzy Sets and Systems 31, 23-36.
  24. M.J. Bolaños, L.M. de Campos and A. González. (1989). Convergence properties of the monotone expectation and its applications to the extension of fuzzy measures. Fuzzy Sets and Systems 33, 201-212.
  25. L.M. de Campos, M.T. Lamata and S.Moral. (1990). Distances between fuzzy measures through associated probabilities. Some applications. Fuzzy Sets and Systems 35, 57-68.
  26. L.M. de Campos, M.T. Lamata and S.Moral. (1990). The concept of conditional fuzzy measure. International Journal of Intelligent Systems 5, 237-246.
  27. S. Moral and L.M. de Campos. (1990). Fuzzy measures withdifferent levels of granularity. In Progress in Fuzzy Sets andSystems, W.J. Janko, M. Roubens and H.J. Zimmermann (Eds.) 134-146, Kluwer Academic Publishers.
  28. M.T. Lamata, S. Moral and J.L. Verdegay. (1990) Transforming fuzzy measures. Approximate Reasoning tools for Artificial Intelligence (M. Delgado, J.L. Verdegay, eds.) TUV Verlag (Koln) 146-158.
  29. M. Delgado, S. Moral and M.A. Vila. (1990) A New View of Generalized Modus Ponens. Proceedings of International Conference on Fuzzy Logic and Neural Networks. IZUKA'90, 963-968.
  30. M.T. Lamata and S. Moral. (1990) Dependence Graphs: Upper and Lower Probabilities. In: System Analysis and Computer Science (R. Kulikowski, J. Rudnicki, eds.) Omnitech Press (Warsaw) 113-122.
  31. L.M. de Campos, M.T. Lamata and S.Moral. (1991). A unified approach to define fuzzy integrals. Fuzzy Sets and Systems 39, 75-90.
  32. S. Moral and L.M. de Campos. (1991). Updating uncertain information. In Uncertainty in Knowledge Bases, Lecture Notes in Computer Science 521, B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.) Springer Verlag, 58-67.
  33. S. Acid, L.M. de Campos, A. González, R. Molina and N. Pérez de la Blanca. (1991). Learning with CASTLE. In Symbolic and Quantitative Approaches to Uncertainty, Lecture Notes in Computer Science 548, R. Kruse and P. Siegel (Eds.), Springer Verlag, 99-106.
  34. S. Acid, L.M. de Campos, A. González, R. Molina and N. Pérez de la Blanca. (1991). CASTLE: A tool for bayesian learning. In Proceeding of the ESPRIT'91 Conference, Commission of the European Communities, 363-377.
  35. J.E. Cano, S. Moral and J.F. Verdegay-López. (1991) Combination of Upper and Lower Probabilities. In: Uncertainty in Artificial Intelligence. Proceedings of the Seventh Conference (B.D. D'Ambrosio, Ph. Smets, P.P. Bonissone, eds.) Morgan and Kaufmann (San Mateo) 61-68.
  36. S. Moral. (1991) Condicionamiento en la Teoría de la Evidencia. In: Algunos Aspectos del Tratamiento de la Información en Inteligencia Artificial, Servicio de Publicaciones de la Universidad de Granada (Granada) 189-203.
  37. J.E. Cano, M. Delgado and S. Moral. (1991) Propagation of Uncertainty in Dependence Graphs. In: Symbolic and Quantitative Approaches to Uncertainty (R. Kruse, P. Siegel, eds.) Springer Verlag. Lecture Notes in Computer Science 548, 42-47.
  38. J.E. Cano, S. Moral and J.F. Verdegay-López. (1991) Propagación de Informaciones Probabilísticas Incompletas en Redes Causales. Actas de la IV Reunión Técnica Española para la Inteligencia Artificial - AEPIA 91 (Madrid) 31-42.
  39. L.M. de Campos and S.Moral. (1992). Propagating uncertain information forward. International Journal of Intelligent Systems 7, 15-24.
  40. S. Acid, L.M. de Campos, A. González, R. Molina and N. Pérez de la Blanca. (1992). Some results on the automatic construction of bayesian networks. In Operations Research'91, P. Gritzmann, R. Hettich, R. Horst and E. Sachs (Eds.), Physica-Verlag, 540-543.
  41. S. Acid, L.M. de Campos, A. González, R. Molina and N. Pérez de la Blanca. (1992). On the bayesian approach to learning. In Operations Research'91, P. Gritzmann, R. Hettich, R. Horst, E. Sachs (Eds.), Physica-Verlag, 544-547.
  42. L.M. de Campos and M.J. Bolaños. (1992). Characterization and comparison of Sugeno and Choquet integrals. Fuzzy Sets and Systems 52, 61-67.
  43. J.E. Cano, S. Moral and J.F. Verdegay-López. (1992) Partial inconsistency of probability envelopes. Fuzzy Sets and Systems 52, 201-216.
  44. S. Moral. (1992) Calculating uncertainty intervals from conditional convex sets of probabilities. In: Uncertainty in Artificial Intelligence. Proceedings of the 8th Conference (D. Dubois, M.P. Wellman, B.D'Ambrosio, Ph. Smets, eds.) Morgan and Kaufmann (San Mateo) 199-206.
  45. M.J. Bolaños, L.M. de Campos and S. Moral. (1993). Propagation of linguistic labels in causal networks. In Proceedings of the 2nd IEEE International Conference on Fuzzy Systems, 863-870.
  46. S. Moral and L.M. de Campos. (1993). Partially specified belief functions. In Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, D. Heckerman and A. Mamdani (Eds.), Morgan and Kaufmann, 492-499.
  47. L.M. de Campos and J.F. Huete. (1993). Independence concepts in upper and lower probabilities. In Uncertainty in Intelligent Systems, B. Bouchon-Meunier, L. Valverde and R.R. Yager (Eds.), North-Holland, 85-96.
  48. R. Molina, L.M. de Campos and J. Mateos. (1993). Using Bayesian Algorithms for Learning Causal Networks in Classification Problems. In Uncertainty in Intelligent Systems, B. Bouchon-Meunier, L. Valverde and R.R. Yager (Eds.), North-Holland, 49-59.
  49. L.M. de Campos and A. González. (1993). A fuzzy inference model based on an uncertainty forward propagation approach. International Journal of Approximate Reasoning 9, 139-164.
  50. L.M. de Campos and J.F. Huete. (1993). Learning non probabilistic belief networks. In Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Lecture Notes in Computer Science 747, M. Clarke, R. Kruse and S. Moral (Eds.), Springer Verlag, 57-64.
  51. J.F. Huete and L.M. de Campos. (1993). Learning Causal Polytrees. In Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Lecture Notes in Computer Science 747, M. Clarke, R. Kruse and S. Moral (Eds.), Springer Verlag, 180-185.
  52. L.M. de Campos and S. Moral. (1993). Learning rules for a fuzzy inference model. Fuzzy Sets and Systems 59, 247-257.
  53. J.E. Cano, M. Delgado and S. Moral. (1993) An Axiomatic framework for the propagation of Uncertainty in Directed Acyclic Networks. International Journal of Approximate Reasoning 8, 253-280.
  54. J.E. Cano, S. Moral and J.F. Verdegay-López. (1993) Propagation of convex sets of Probabilities in directed acyclic networks. In: Uncertainty in Intelligent Systems (B. Bouchon-Meunier, L. Valverde, R.R. Yager, eds.) Elsevier (Amsterdam) 15-26.
  55. DRUMS Consortium (33 researches from 11 european groups including J.E. Cano and S. Moral). (1993) DRUMS: Defeasible Reasoning and Uncertainty Management Systems. AI Communications 6, 27-46.
  56. S. Moral. (1993) A formal language for convex sets of probabilities. In: Symbolic and Quantitative Approaches to Reasoning and Uncertainty (M.R.B. Clarke, R. Kruse, S. Moral, eds.) Springer Verlag (Berlin, ) Lecture Notes in Computer Science N. 747, 274-281.
  57. L.M. de Campos, J.F. Huete and S. Moral. (1994). Probability intervals: a tool for uncertain reasoning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2, 167-196.
  58. S. Acid and L.M. de Campos. (1994). Approximations of causal networks by polytrees: An empirical study. In Proceedings of the Fifth IPMU Conference, 972-977. Also in Advances in Intelligent Computing, B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.), Springer Verlag, 149-158.
  59. L.M. de Campos, J.F. Huete and S. Moral. (1994). Uncertainty management using probability intervals. In Proceedings of the Fifth IPMU Conference, 431-436. Also in Advances in Intelligent Computing, B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.), Springer Verlag, 190-199.
  60. A. Cano, J.E. Cano and S. Moral. (1994). Convex Sets of Probabilities Propagation by Simulated Annealing. Presented in The Fith International Conference IPMU,94. Paris, July 4-8, 1994. (6 pages) (abstract) (full paper)
  61. M.T. Lamata and S. Moral. (1994) Calculus with linguistic probabilities and beliefs. In: Advances in the Dempster-Shafer Theory of Evidence (M. Fedrizzi, J. Kacprzyk, R.R. Yager, eds.) Wiley, 133-152.
  62. N. Wilson and S. Moral. (1994) A logical view of probability. ECAI-94.Proceedings (A. Cohn, ed.) John Wiley (Chichester) 386-390.
  63. S. Moral and N. Wilson. (1994) Markov-Chain Monte-Carlo algorithms for the calculation of Dempster-Shafer Belief. Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) Vol. 1, 269-274.
  64. A. Cano and S. Moral. (1995). Heuristic Algorithms for the Triangulation of Graphs. In Proceedings of the Fifth IPMU Conference, 166-171. Also in Advances in Intelligent Computing. ed: B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh. Springer Verlag, 98-107 (abstract) (full paper)
  65. L.M. de Campos and S. Moral. (1995). Independence Concepts for Convex Sets of Probabilities. In: Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (Ph. Besnard, S. Hanks, eds.) Morgan Kaufmann (San Mateo), 108-115. (8 pages) (abstract) (full paper)
  66. S. Moral and N. Wilson. (1995) Revision rules for convex sets of probabilities. In: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence (G. Coletti, D. Dubois, R. Scozzafava, eds.) Plenum Press, New York, 113-128. (abstract) (full paper)
  67. Luis M. de Campos, Joerg Gebhardt and Rudolf Kruse. (1995). Axiomatic Treatment of Possibilistic Independence. In Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Lecture Notes in Artificial Intelligence 946, C. Froidevaux and J. Kohlas (Eds.), 77-88, Springer Verlag. (abstract)
  68. J.E. Cano, L.D. Hernández, S. Moral. (1995). Propagación de probabilidades en grafos de dependencias mediante muestreo por importancia. Actas de la VI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 95) 197-206. (10 pages) (abstract) (full paper)
  69. Luis M. de Campos. (1995). Independence relationships in possibility theory and their application to learning belief networks. In Mathematical and Statistical Methods in Artificial Intelligence, CISM Courses and Lectures 363, G. Della Riccia, R. Kruse, R. Viertl (Eds.), Springer Verlag, 119-130.
  70. Luis M. de Campos, Juan F. Huete. (1995). Efficient algorithms for learning simple belief networks. In Actas de la VI Conferencia Española para la Inteligencia Artificial, 93-102.
  71. J.E. Cano, L.D. Hernández and S. Moral. (1996). Importance Sampling Algorithms for Belief Networks. In: International Journal of Approximate Reasoning 15, 77-92. (17 pages)(abstract)
  72. S. Moral, N. Wilson. (1996). Importance sampling algorithms for the calculation of Dempster-Shafer belief . In: Proceedings of IPMU-96 Conference, Vol. III 1337-1344. (8 pages) (abstract) (full paper)
  73. A. Cano and S. Moral. (1996). A Genetic algorithm to approximate convex sets of probabilities. In: Proceedings of IPMU-96 Conference, Vol. II 859-864. (7 pages) (abstract) (full paper)
  74. S.Acid, L.M. de Campos. (1996). BENEDICT: An Algorithm for Learning Probabilistic Belief Networks. Presented in Sixth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'96, 979-984 (abstract) (full paper)
  75. S.Acid, L.M. de Campos. (1996). An Algorithm for Finding Minimum d-Separating Sets in Belief Networks. In Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, UAI'96. E. Horvitz, F. Jensen (Eds.), Morgan and Kaufmann, 3-10 (abstract) (full paper)
  76. L.D. Hernández, S. Moral, A. Salmerón. (1996). Importance sampling algorithms in belief networks based on approximate computation. Proceedings of IPMU-96, Vol. II 859-864.. (6 pages) (abstract) (full paper)
  77. Nic Wilson and Serafín Moral. (1996). Fast Markov Chain Algorithms for Calculating Dempster-Shafer belief. ECAI'96 Proceedings (W. Wahlster, ed.) J. Wiley (1996) 672-676. (5 pages) (abstract) (full paper)
  78. Luis M. de Campos, Juan F. Huete. (1996). How to construct possibility measures from a set of marginals. In Proceedings of the Sixth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 979-984.
  79. Luis M. de Campos, Juan F. Huete. (1996). Aprendizaje de hipergrafos posibilisticos. In Actas del VI Congreso Español sobre Tecnologías y Lógica Fuzzy, 65-70.
  80. Luis M. de Campos. (1996). Characterizations of decomposable dependency models. Journal of Artificial Intelligence Research 5, 289-300. ( pages) (abstract)
  81. D. Dubois, S. Moral and H. Prade.(1997) A semantics for Possibility based on Likelihoods. In Journal of Mathematical Analysis and Applications 205, 359-380
  82. Luis M. de Campos, Serafín Moral. (1997). Removing partial inconsistency in Valuation-Based Systems. International Journal of Intelligent Systems 12, 629--653.(abstract)
  83. Luis D. Hernández, Serafín Moral . (1997). Mixing Exact and Importance Sampling Propagation Algorithms in Dependence Graphs. International Journal of Intelligent Systems 12, 553--576.(abstract)
  84. Luis M. de Campos, Juan F. Huete. (1997). On the Use of Independence Relationships for Learning Simplified Belief Networks. International Journal of Intelligent Systems 12, 495-522 (1997). (28 pages) (abstract)
  85. S. Moral, J. del Sagrado . (1997). Aggregation of imprecise probabilities. In: Aggregation and Fusion of Imperfect Information (B. Bouchon-Meunier, ed.) Physica Verlag, Heidelberg, 162-188. (abstract)
  86. A. Cano and S. Moral. (1997). Propagación Exacta y Aproximada Mediante Arboles de Probabilidad en Redes Causales. Actas de la VII conferencia de la Asociación Española Para la Inteligencia Artificial (CAEPIA'97) 635-644. (abstract)
  87. Silvia Acid, Luis M. de Campos. (1997). Algoritmos híbridos para el aprendizaje de redes de creencia. Actas de la VII Conferencia de la Asociación Española para la Inteligencia Artificial, 499-508.
  88. Luis M. de Campos, José A. Gámez, Serafín Moral. (1997). Un método exacto para realizar abducción parcial en redes bayesianas. Actas de la VII Conferencia de la Asociación Española para la Inteligencia Artificial, 499-508.
  89. Luis M. de Campos, Juan F.Huete. (1997). Algorithms for learning decomposable models and chordal graphs. In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Morgan and Kaufmann, 46-53.
  90. Luis M. de Campos. (1998). Independency relationships and learning algorithms for singly connected networks. Journal of Experimental and Theoretical Artificial Intelligence 10, 511-549.
  91. Luis M. de Campos. (1998). Aprendizaje automático de modelos gráficos I: Métodos básicos. Sistemas Expertos Probabilísticos, Colección Ciencia y Tecnología, Servicio de Publicaciones de la Universidad de Castilla-La Mancha, 113-140.
  92. Luis M. de Campos, Juan M. Fernández, Juan F.Huete. (1998). Query expansion in information retrieval systems using a bayesian network-based thesaurus. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Morgan and Kaufmann, 53-60.
  93. Luis M. de Campos, Juan F.Huete. (1998). A new approach for learning belief networks using independence criteria. In Proceedings of the First International Workshop on Causal Networks: From Inference to Data Mining, 1-12.
  94. Luis M. de Campos, Juan F.Huete. (1998). Aproximación de una ordenación de variables en redes causales mediante algoritmos genéticos. In Proceedings of the Thirteenth Conference on UncerInteligencia Artificial 4, 30-39.
  95. Luis M. de Campos, Juan F.Huete. (1999). Independence concepts in possibility theory: Part II. Fuzzy Sets and Systems 103, 487-505.
  96. Luis M. de Campos, Juan F.Huete. (1999). Independence concepts in possibility theory: Part I. Fuzzy Sets and Systems 103, 127-152.
  97. L.M. de Campos, J.A. Gámez, S. Moral.. (1999). Abducción Parcial en Redes Bayesianas mediante Algoritmos Genéticos: Operadores Genéticos Específicos al Problema. Actas de la VIII Conferencia de la Asociación Española Para la Inteligencia Artificial, CAEPIA'99, Volumen I, (Apartado de Razonamiento), pp. 54-61. Murcia. (abstract)
  98. L.M. de Campos, J.A. Gámez, S. Moral . (1999). Partial abductive inference in Bayesian belief networks using a genetic algorithm. Pattern Recognition Letters. Pattern Recognition Letters, Vol. 20, pp. 1211-1217. Elsevier. (abstract)
  99. A. Cano and S. Moral. (1999). A Review of Propagation Algorithms for Imprecise Probabilities. Proceedings of the First International Symposium on Imprecise Probabilities an Their Applications, pag 51-60 (ISIPTA99, Ghent, June 1999). (abstract)
  100. A. Salmerón, A. Cano, S. Moral. (2000). Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis, Vol. 34, pages 387-413. (abstract)
  101. Luis M. de Campos, Juan F. Huete. (2000). A new approach for learning belief networks using independence criteria. International Journal of Approximate Reasoning 24 n.1, 11-37. (abstract)
  102. A. Cano, S. Moral, A. Salmerón. (2000). Penniless Propagation in Join Trees. International Journal of Intelligent Systems.Volume 15, Issue 11, pages 1027-1059. (abstract)

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