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Basilio Sierra: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Jose María De la Rosa, María Luisa Mora
    Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:366-371 [Conf]
  2. Pedro Larrañaga, Basilio Sierra, Miren J. Gallego, Maria J. Michelena, Juan M. Picaza
    Learning Bayesisan Networks by Genetic Algorithms: A Case Study in the Prediction of Survival in Malignant Skin Melanoma. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:261-272 [Conf]
  3. Basilio Sierra, Elena Lazkano, Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga
    Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:20-29 [Conf]
  4. José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Ekaitza Jauregi
    On a Unified Framework for Sampling With and Without Replacement in Decision Tree Ensembles. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2006, pp:118-127 [Conf]
  5. Elena Lazkano, Aitzol Astigarraga, Basilio Sierra, José María Martínez-Otzeta, Iñaki Rañó
    Natural Landmark Based Navigation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:742-753 [Conf]
  6. Basilio Sierra, Elena Lazkano, José María Martínez-Otzeta, Aitzol Astigarraga
    Combining Bayesian Networks, k Nearest Neighbours Algorithm and Attribute Selection for Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:86-97 [Conf]
  7. José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Aitzol Astigarraga
    K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results. [Citation Graph (0, 0)][DBLP]
    Selected Papers from AusDM, 2006, pp:53-63 [Conf]
  8. José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano
    Image Analysis and Automatic Surface Identification by a Bi-level Multi-classifier. [Citation Graph (0, 0)][DBLP]
    BVAI, 2005, pp:467-476 [Conf]
  9. M. Ardaiz, Aitzol Astigarraga, Elena Lazkano, Basilio Sierra, José María Martínez-Otzeta, Ekaitza Jauregi
    Adapting the Point of View for Behavior-Based Navigation. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2005, pp:69-78 [Conf]
  10. Julio Abascal, Elena Lazkano, Basilio Sierra
    Behavior-Based Indoor Navigation. [Citation Graph (0, 0)][DBLP]
    Ambient Intelligence for Scientific Discovery, 2004, pp:263-285 [Conf]
  11. Pedro Larrañaga, Miren J. Gallego, Basilio Sierra, L. Urkola, Maria J. Michelena
    Bayesian Networks, Rule Induction and Logistic Regression in the Prediction of the Survival of Women Suffering from Breast Cancer. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:303-308 [Conf]
  12. Elena Lazkano, Basilio Sierra
    BAYES-NEAREST: A New Hybrid Classifier Combining Bayesian Network and Distance Based Algorithms. [Citation Graph (0, 0)][DBLP]
    EPIA, 2003, pp:171-183 [Conf]
  13. José María Martínez-Otzeta, Basilio Sierra
    Analysis of the Iterated Probabilistic Weighted K Nearest Neighbor Method, a new Distance-Based Algorithm. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2004, pp:233-240 [Conf]
  14. Basilio Sierra, Iñaki Rañó, Elena Lazkano, Unai Gisasola
    Machine Learning Approaches for Image Analysis: Recognition of Hand Orders by a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    ICEIS (1), 2001, pp:330-335 [Conf]
  15. Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala
    Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2000, pp:97-110 [Conf]
  16. Basilio Sierra, Iñaki Inza, Pedro Larrañaga
    On Applying Supervised Classification Techniques in Medicine. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:14-19 [Conf]
  17. Basilio Sierra, Iñaki Inza, Pedro Larrañaga
    Medical Bayes Networks. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2000, pp:4-14 [Conf]
  18. Aitor Álvarez, Idoia Cearreta, Juan Miguel López, Andoni Arruti, Elena Lazkano, Basilio Sierra, Nestor Garay
    Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Spoken Spanish and Standard Basque Language. [Citation Graph (0, 0)][DBLP]
    TSD, 2006, pp:565-572 [Conf]
  19. Elena Lazkano, Aitzol Astigarraga, Ekaitza Jauregi, Basilio Sierra, José María Martínez-Otzeta
    Environment Representation by Behavior Decomposition. [Citation Graph (0, 0)][DBLP]
    Workshop de Agentes Físicos, 2006, pp:101-108 [Conf]
  20. Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra
    Feature Subset Selection by Bayesian network-based optimization. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:123, n:1-2, pp:157-184 [Journal]
  21. Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala
    Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:23, n:2, pp:187-205 [Journal]
  22. Basilio Sierra, Pedro Larrañaga
    Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:14, n:1-2, pp:215-230 [Journal]
  23. Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Pedro Revuelta, María Luisa Mora
    Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:22, n:3, pp:233-248 [Journal]
  24. Iñaki Inza, Pedro Larrañaga, Basilio Sierra
    Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:2, pp:143-164 [Journal]
  25. Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra
    Gene Selection For Cancer Classification Using Wrapper Approaches. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:8, pp:1373-1390 [Journal]
  26. Txomin Romero, Pedro Larrañaga, Basilio Sierra
    Learning Bayesian Networks In The Space Of Orderings With Estimation Of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:4, pp:607-625 [Journal]
  27. Iñaki Inza, Basilio Sierra, Rosa Blanco
    Gene selection by sequential search wrapper approaches in microarray cancer class prediction. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:12, n:1, pp:25-33 [Journal]
  28. Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña
    Representing the behaviour of supervised classification learning algorithms by Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1201-1209 [Journal]
  29. José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Aitzol Astigarraga
    Classifier hierarchy learning by means of genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:16, pp:1998-2004 [Journal]
  30. Elena Lazkano, Basilio Sierra, Aitzol Astigarraga, José María Martínez-Otzeta
    On the use of Bayesian Networks to develop behaviours for mobile robots. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2007, v:55, n:3, pp:253-265 [Journal]
  31. Aitor Álvarez, Idoia Cearreta, Juan Miguel López, Andoni Arruti, Elena Lazkano, Basilio Sierra, Nestor Garay
    A Comparison Using Different Speech Parameters in the Automatic Emotion Recognition Using Feature Subset Selection Based on Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    TSD, 2007, pp:423-430 [Conf]

  32. Temporal Nearest End-Effectors for Real-Time Full-Body Human Actions Recognition. [Citation Graph (, )][DBLP]


  33. Kinetic Pseudo-energy History for Human Dynamic Gestures Recognition. [Citation Graph (, )][DBLP]


  34. Analyzing Classifier Hierarchy Multiclassifier Learning. [Citation Graph (, )][DBLP]


  35. Using Virtual Reality for Gesture and Vocal Interface Validation in Industrial Environments. [Citation Graph (, )][DBLP]


  36. Data Mining for Burr Detection (in the Drilling Process). [Citation Graph (, )][DBLP]


  37. Application of Feature Subset Selection Based on Evolutionary Algorithms for Automatic Emotion Recognition in Speech. [Citation Graph (, )][DBLP]


  38. Visual Approaches for Handle Recognition. [Citation Graph (, )][DBLP]


  39. Histogram distance-based Bayesian Network structure learning: A supervised classification specific approach. [Citation Graph (, )][DBLP]


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