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Francisco Azuaje: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Francisco Azuaje
    An Immune-inspired Approach to Learning and Classification. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 2003, pp:1-6 [Conf]
  2. Francisco Azuaje
    Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach. [Citation Graph (0, 0)][DBLP]
    BIBE, 2000, pp:208-213 [Conf]
  3. Francisco Azuaje, Olivier Bodenreider
    Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study. [Citation Graph (0, 0)][DBLP]
    BIBE, 2004, pp:317-324 [Conf]
  4. Marisol Giardina, Francisco Azuaje, Paul J. McCullagh, Roy Harper
    A Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:325-331 [Conf]
  5. Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper
    Semi-Supervised Clustering Models for Clinical Risk Assessment. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:243-250 [Conf]
  6. Marisol Giardina, Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper
    A Missing Data Estimation Analysis in Type II Diabetes Databases. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:347-352 [Conf]
  7. Haiying Wang, Francisco Azuaje, Olivier Bodenreider
    An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:389-394 [Conf]
  8. Haiying Wang, Huiru Zheng, Francisco Azuaje
    Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:533-538 [Conf]
  9. Haiying Wang, Francisco Azuaje, Norman D. Black
    Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization. [Citation Graph (0, 0)][DBLP]
    CIS, 2004, pp:556-561 [Conf]
  10. Jesús S. Aguilar-Ruiz, Francisco Azuaje, José Cristóbal Riquelme Santos
    Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2004, pp:279-288 [Conf]
  11. Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
    Incorporating Biological Domain Knowledge into Cluster Validity Assessment. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:13-22 [Conf]
  12. Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau
    Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:114-119 [Conf]
  13. Dan Sprevak, Francisco Azuaje, Haiying Wang
    A Non-Random Data Sampling Method for Classification Model Assessment. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:406-409 [Conf]
  14. Jesús S. Aguilar-Ruiz, Francisco Azuaje
    Knowledge Discovery in Lymphoma Cancer from Gene-Expression. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:31-38 [Conf]
  15. Haiying Wang, Huiru Zheng, Francisco Azuaje
    Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1101-1106 [Conf]
  16. Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
    An integrated tool for microarray data clustering and cluster validity assessment. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:133-137 [Conf]
  17. Werner Dubitzky, Francisco Azuaje
    Editorial - AI in the Life Sciences. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2003, v:20, n:1-2, pp:7-11 [Journal]
  18. Francisco Azuaje, Werner Dubitzky, Philippe Lopes, Norman D. Black, Kenneth Adamson, X. Wu, John A. White
    Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:15, n:3, pp:275-297 [Journal]
  19. Francisco Azuaje
    Clustering-based Approaches to Discovering and Visualising Microarray Data Patterns. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2003, v:4, n:1, pp:31-42 [Journal]
  20. Francisco Azuaje
    A cluster validity framework for genome expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:2, pp:319-320 [Journal]
  21. Francisco Azuaje
    Integrative data analysis for functional prediction: a multi-objective optimization approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:2099-2100 [Journal]
  22. Nadia Bolshakova, Francisco Azuaje
    Machaon CVE: cluster validation for gene expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:18, pp:2494-2495 [Journal]
  23. Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
    An integrated tool for microarray data clustering and cluster validity assessment . [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:4, pp:451-455 [Journal]
  24. Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
    A knowledge-driven approach to cluster validity assessment. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:10, pp:2546-2547 [Journal]
  25. Francisco Azuaje
    Genomic data sampling and its effect on classification performance assessment. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2003, v:4, n:, pp:5- [Journal]
  26. Francisco Azuaje, Haiying Wang, Alban Chesneau
    Non-linear mapping for exploratory data analysis in functional genomics. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:13- [Journal]
  27. Haiying Wang, Huiru Zheng, David Simpson, Francisco Azuaje
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:116- [Journal]
  28. Haiying Wang, Francisco Azuaje, Norman D. Black
    An integrative and interactive framework for improving biomedical pattern discovery and visualization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 2004, v:8, n:1, pp:16-27 [Journal]
  29. Francisco Azuaje
    A computational evolutionary approach to evolving game strategy and cooperation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2003, v:33, n:3, pp:498-503 [Journal]
  30. Francisco Azuaje
    Reply to comments on 'A computational evolutionary approach to evolving game strategy and Cooperation'. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:3, pp:1573- [Journal]
  31. Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenneth Adamson
    Discovering relevance knowledge in data: a growing cell structures approach. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:3, pp:448-460 [Journal]
  32. Nadia Bolshakova, Francisco Azuaje
    Cluster validation techniques for genome expression data. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:825-833 [Journal]
  33. Werner Dubitzky, Francisco Azuaje, Philippe Lopes, Paul J. McCullagh, Y. Song
    On local and global feature weight discovery for case-based reasoning. [Citation Graph (0, 0)][DBLP]
    Computers and Their Applications, 1999, pp:107-110 [Conf]
  34. Haiying Wang, Huiru Zheng, Francisco Azuaje
    Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:2, pp:163-175 [Journal]

  35. Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks. [Citation Graph (, )][DBLP]


  36. A standard-compliant global map of the bile acid/xenobiotic signaling network: Construction and automated query processing. [Citation Graph (, )][DBLP]


  37. Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. [Citation Graph (, )][DBLP]


  38. Assessing the impact of network depth on the analysis of PPI networks: A case study. [Citation Graph (, )][DBLP]


  39. Computational biology for cardiovascular biomarker discovery. [Citation Graph (, )][DBLP]


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