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Vassilis Moustakis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis
    Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:98-109 [Conf]
  2. Christian Ohmann, Q. Yang, Vassilis Moustakis, K. Lang, P. J. van Elk
    Machine Learning Techniques Applied to the Diagnosis of Acute Abdominal Pain. [Citation Graph (0, 0)][DBLP]
    AIME, 1995, pp:276-281 [Conf]
  3. Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis
    IDDD: An Inductive, Domain Dependent Decision Algorithm. [Citation Graph (0, 0)][DBLP]
    ECML, 1993, pp:408-413 [Conf]
  4. Vassilis Moustakis
    Do People in HCI Use Machine Learning? [Citation Graph (0, 0)][DBLP]
    HCI (2), 1997, pp:95-98 [Conf]
  5. Vassilis Moustakis, Charalambos Litos, Andreas Dalivigas, Loukas Tsironis
    Website Quality Assessment Criteria. [Citation Graph (0, 0)][DBLP]
    IQ, 2004, pp:59-73 [Conf]
  6. Vassilis Moustakis, Loukas Tsironis
    Knowledge Quality Assurance in Data Mining. [Citation Graph (0, 0)][DBLP]
    IQ, 1996, pp:107-116 [Conf]
  7. Lefteris Koumakis, Vassilis Moustakis, Alexandros Kanterakis, George Potamias
    Mining Time Series with Mine Time. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:158-168 [Conf]
  8. Vassilis Moustakis
    Post Supervised Based Learning of Feature Weight Values. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:279-289 [Conf]
  9. George Potamias, Lefteris Koumakis, Vassilis Moustakis
    Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:256-266 [Conf]
  10. George Potamias, Vassilis Moustakis
    Learning In-between Concept Descriptions Using Iterative Induction. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:164-173 [Conf]
  11. Angelos Amanatiadis, Konstantinos Drakatos, Loukas Tsironis, Vassilis Moustakis
    Defining the Main Factors of Quality of Service in Mobile Telephony. [Citation Graph (0, 0)][DBLP]
    ICWMC, 2006, pp:23- [Conf]
  12. Yves Kodratoff, Vassilis Moustakis, Nicolas Graner
    Can machine learning solve my problem? [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1994, v:8, n:1, pp:1-31 [Journal]
  13. Vassilis Moustakis, Michalis Blazadonakis, Manolis Marazakis, George Potamias
    Assessment of Boolean Minimization in Symbolic Empirical Learning. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:4, pp:329-342 [Journal]
  14. Vassilis Moustakis, Jürgen Herrmann
    Where Do Machine Learning and Human-Computer Interaction Meet? [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1997, v:11, n:7-8, pp:595-609 [Journal]
  15. Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis
    Knowledgeable learning using MOBAL: A medical case study. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1994, v:8, n:4, pp:579-592 [Journal]
  16. George Potamias, Vassilis Moustakis, Giorgos Charissis
    Interactive Knowledge Based Construction and Maintenance. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1997, v:11, n:7-8, pp:697-717 [Journal]
  17. Michalis Blazadonakis, Vassilis Moustakis, Giorgos Charissis
    Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:6, pp:527-542 [Journal]
  18. Christian Ohmann, Vassilis Moustakis, Q. Yang, K. Lang
    Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain - Acute Abdominal Pain Study Group. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:1, pp:23-36 [Journal]
  19. George Potamias, Lefteris Koumakis, Vassilis Moustakis
    Mining XML Clinical Data: the HealthObs System. [Citation Graph (0, 0)][DBLP]
    Ingénierie des Systèmes d'Information, 2005, v:10, n:1, pp:59-79 [Journal]

  20. Knowledge Discovery Scientific Workflows in Clinico-Genomics. [Citation Graph (, )][DBLP]


  21. Mining Interesting Clinico-Genomic Associations: The HealthObs Approach. [Citation Graph (, )][DBLP]


  22. Discovery of Genotype-to-Phenotype Associations: A Grid-enabled Scientific Workflow Setting. [Citation Graph (, )][DBLP]


  23. Revealing Disease Mechanisms via Coupling Molecular Pathways Scaffolds and Microarrays: A Study on the Wilm’s Tumor Disease. [Citation Graph (, )][DBLP]


  24. BMIINT Editorial. [Citation Graph (, )][DBLP]


  25. Towards the Discovery of Reliable Biomarkers from Gene-Expression Profiles: An Iterative Constraint Satisfaction Learning Approach. [Citation Graph (, )][DBLP]


  26. Mining Gene Expression Profiles and Gene Regulatory Networks: Identification of Phenotype-Specific Molecular Mechanisms. [Citation Graph (, )][DBLP]


  27. Nanoinformatics: New Challenges for Biomedical Informatics at the Nano Level. [Citation Graph (, )][DBLP]


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