Publications

• DIABETES I: Ume diabetikoak zaintzeko sistema aditua. B. Sierra, A. Remiro, J.M. Pikaza, (1997). Elhuyar. Zientzia eta Teknika, 122-122, 36-41.
• Predicting the survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparision between different approaches.
  B. Sierra, P. Larrañaga (1998). Artificial Intelligence in Medicine. Vol. 14. No. 1-2, 215-230.
• Representing the joint behaviour of machine learning inducers by Bayesian networks.
  I. Inza, P. Larrañaga, B. Sierra, R. Etxeberria, J.A. Lozano, J.M. Peña (1999).Pattern Recognition Letters 20 (11-13), 1201-1209.
• Using Bayesian networks in the construction of a bi-level multi-classifier.
  B.Sierra, N. Serrano, P.Larranaga, E.J. Plasencia, I. Inza, J.J. Jiménez, P. Revuelta, M.L. Mora. Artificial Intelligence in Medicine, 22, 233-248.
• Feature subset selection by genetic algorithms and estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS.
  I. Inza, M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, M. Girala. Artificial Intelligence in Medicine, 23/2, 187-205.
• Feature Subset Selection by Bayesian Networks: a comparison with genetic and sequential algorithms.
  I. Inza, P. Larrañaga, B. Sierra. International Journal of Approximate Reasoning, 27/2, 143-164.
• Feature Subset Selection by Bayesian networks based optimization. I. Inza, P. Larrañaga, R. Etxeberria, B. Sierra.
  Artificial Intelligence. 123(1-2), 157-184.
• Learning to traverse doors using visual information.
  I. Monasterio, E. Lazkano, I. Rañó and B. Sierra (2002). Mathematics and Computers in Simulation. Vol. 60, 347-356.
• Mobile Robot Navigation Using Color Image Segmentation.
  I. Rañó E. Lazkano, I. Monasterio, I. Zarauz and B. Sierra (2002). Systems Science Journal. Vol. 27, 97-108.
• Gene selection by sequential search wrapper approaches in microarray cancer class prediction. Journal of Intelligent and Fuzzy Systems.
  I. Inza, B. Sierra, R. Blanco and P. Larrañaga (2002).

Book Chapters

• Machine Learning inspired approaches to combine standard medical measures at an intensive care unit.
  B. Sierra, N. Serrano, P. Larrañaga, E. Plasencia, I. Inza, J.J. Jimenez, J.M. Rosa, M.L. De la Mora (1999). Lecture Notes in Computer Sciences. Artificial Intelligence in Medicine. Proceedings of the Joint European Conference on Artificial Intelligence and Medical Decision Making. W. Horn, Y. Shahar, G. Linderberg, S. Andreassen, J. Wyatt (eds.), 366-371.
• Learning Bayesian networks by genetic algorithms. A case study in the prediction of survival in malignant skin melanoma.
  P. Larrañaga, B. Sierra, M. Y. Gallego, M. J. Michelena, J. M. Pikaza (1997). Lecture Notes in Artificial Intelligence 1211. E. Keravnou, C. Garbay, R. Baud, J. Wyatt (eds.), 261-272.
• Bayesian networks, rule induction and logistic regression in the prediction of the survival of women suffering from breast cancer.
  P. Larrañaga, M. Y. Gallego, B. Sierra, L. Urkola, M. J. Michelena (1997). Lecture Notes in Artificial Intelligence 1323. E. Costa, A. Cardoso (eds.), 303-308. Springer-Verlag.

Conference papers

• Machine Learning Approaches to Combine Standard Medical Measures at an Intensive Care Unit.
  B. Sierra, N. Serrano, P. Larranaga, E.J. Plasencia, I. Inza, J.J. Jimenez, J.M. De la Rosa, J.M. Mora (1999). Joint European Conference on Artificial Intelligence and Medical Decision Making. Aalborg, Denmark.
• Bayesian Networks as Consensed Voting System in the Construction of a Multi-Classifier.
  B. Sierra, N. Serrano, P. Larranaga, E.J. Plasencia, I. Inza, J.J. Jimenez, J.M. De la Rosa, J.M. Mora (1999). Joint European Conference on Artificial Intelligence and Medical Decision Making. Workshop: Computers in Anaesthesia and Intensive Care: Knowledge-Based Information Management.Aalborg, Denmark.
• Representing the joint behaviour of Machine Learning inducers by Bayesian Networks.
  I. Inza, P. Larranaga, B. Sierra, R. Etxeberria, J.A. Lozano, J.M. Pena (1999). Pattern Recognition in Practice VI. Vieland, The Netherlands.
• A review of the cooperation between evolutionary computation and probabilistic graphical models.
  P. Larranaga, R. Etxeberria, J.A. Lozano, B. Sierra, I. Inza, J.M. Pena (1999). Proceedings of the Second Symposium on Artificial Intelligence. Adaptive Systems. CIMAF 99. Special Session on Distributions and Evolutionary Computation, 314-324. La Habana.
• Learning Bayesian networks by genetic algorithms. A case study in the prediction of survival in malignant skin melanoma.
  P. Larrañaga, B. Sierra, M. Y. Gallego, M. J. Michelena, J. M. Pikaza (1997). Artificial Intelligence in Medicine in Europe. AIME97. Grenoble.
• Searching for the optimal Bayesian network in classification tasks by genetic algorithms.
  B. Sierra, P. Larrañaga (1997). WUPES97. 4th Workshop on Uncertainty Processing. Praga.
• Statistical and machine learning methods in the prediction of bankruptcy.
  
  S. Dizdaverich, F. Lizarraga, P. Larrañaga, B. Sierra, M. Y. Gallego (1998). Third International Meeting on Artificial Intelligence in Accounting, Finance and Tax. Huelva.
• Bayesian networks, rule induction and logistic regression in the prediction of the survival of women suffering from breast cancer.
  P. Larrañaga, M. Y. Gallego, B. Sierra, L. Urkola, M. J. Michelena (1998). 8th Portuguese Conference on Artificial Intelligence. Coimbra.
• Bayesian networks induced by genetic algorithms in the prediction of the survival of breast cancer.
  P. Larrañaga, B. Sierra, M. Y. Gallego, M. J. Michelena (1996). ITHURS96. International Conference on Intelligent Technologies in Human-Related Sciences. León.
• Predicción de la supervivencia del cáncer de mama por medio de redes Bayesianas inducidas por algoritmos genéticos.
  P. Larrañaga, B. Sierra, M. Y. Gallego, M. J. Michelena (1996). XIV Congreso Anual de la Sociedad Española de Ingenieria Biomédica. Pamplona.
• Visualization and Interpretation of Diabetic Patient Data from a Portable Storage Device.
  B. Sierra, L. Aldamiz-Echevarria, J.M. Picaza, C. Amuchastegui, J.R. Zubizarreta, P. Martul, E. Alustiza, J. Albisu, E. Blarduni. (1995) American Academy of Pediatrics 1995 Annual Meeting. Section on Computers and Others Technologies. San Francisco (U.S.A.)
• Monitoring the Diabetic Patients Data and Acquiring it by a Portable Storage Device.
  J.M. Picaza, B. Sierra, L. Aldamiz-Echevarria, J.R. Zubizarreta, C. Amuchastegui, P. Martul, E. Alustiza, J. Albisu, E. Blarduni. (1995). 1995 European Conference of Healt Informatics - ECHI-95. París.
• DIABETES-I: Monitorización Basada en el Conocimiento de niños afectos de Diabetes tipo I.
  J.M. Picaza, L. Aldamiz-Echevarria, B. Sierra, J.R. Zubizarreta, C. Amuchastegui, E. Alustiza, E. Blarduni, P. Martul. (1995) Transferencia de Tecnología en Inteligencia Artificial - TTIA-95. Alicante.

Technical reports

• Feature Subset Selection by Population-Based Incremental Learning. A case study in the survival of cirrhotic patients treated with TIPS.
  I. Inza, M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, M. Girala (1999). Technical Report EHU-KZAA-IK-1/99.
• Feature Subset Selection by Bayesian Networks based Optimization.
  I. Inza, P. Larrañaga, R. Etxeberria, B. Sierra (1999). Technical Report EHU-KZAA-IK-2/99.
• Combination of Classifiers. A Case Study in Oncology.
  I. Inza, P. Larranaga, B. Sierra, M. Nino (1998). Technical Report EHU-KZZA-IK-1-98.