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Ioannis Hatzilygeroudis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jim Prentzas, Ioannis Hatzilygeroudis
    Updating a Hybrid Rule Base with Changes to its Symbolic Source Knowledge. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:250-254 [Conf]
  2. Jim Prentzas, Ioannis Hatzilygeroudis
    Integrating Hybrid Rule-Based with Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2002, pp:336-349 [Conf]
  3. Ioannis Hatzilygeroudis, Jim Prentzas
    Producing Modular Hybrid Rule Bases for Expert Systems. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2000, pp:181-185 [Conf]
  4. Ioannis Hatzilygeroudis, Jim Prentzas
    An Efficient Hybrid Rule Based Inference Engine with Explanation Capability. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:227-231 [Conf]
  5. Ioannis Hatzilygeroudis, Christos Giannoulis, Constantinos Koutsojannis
    A Web-Based Education System for Predicate Logic. [Citation Graph (0, 0)][DBLP]
    ICALT, 2004, pp:- [Conf]
  6. Jim Prentzas, Ioannis Hatzilygeroudis, Constantinos Koutsojannis
    A Web-Based ITS Controlled by a Hybrid Expert System. [Citation Graph (0, 0)][DBLP]
    ICALT, 2001, pp:239-240 [Conf]
  7. Ioannis Hatzilygeroudis
    Knowledge Representation and Reasoning in a System Integration Logic in Objects. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1993, pp:160-167 [Conf]
  8. Ioannis Hatzilygeroudis, Jim Prentzas
    Neurules: Improving the Performance of Symbolic Rules. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1999, pp:417-424 [Conf]
  9. Ioannis Hatzilygeroudis, Han Reichgelt
    The Inheritance Mechanism of a System Integrating Logic in Objects. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1994, pp:724-727 [Conf]
  10. Jim Prentzas, Ioannis Hatzilygeroudis, Athanasios K. Tsakalidis
    Updating a Hybrid Rule Base with New Empirical Source Knowledge. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2002, pp:9-15 [Conf]
  11. Ioannis Hatzilygeroudis, Jim Prentzas
    Knowledge Representation Requirements for Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:87-97 [Conf]
  12. Jim Prentzas, Ioannis Hatzilygeroudis, John D. Garofalakis
    A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2002, pp:119-128 [Conf]
  13. Grigorios N. Beligiannis, Ioannis Hatzilygeroudis, Constantinos Koutsojannis, Jim Prentzas
    A GA Driven Intelligent System for Medical Diagnosis. [Citation Graph (0, 0)][DBLP]
    KES (1), 2006, pp:968-975 [Conf]
  14. Ioannis Hatzilygeroudis, Anthi Karatrantou, C. Pierrakeas
    PASS: An Expert System with Certainty Factors for Predicting Student Success. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:292-298 [Conf]
  15. Constantinos Koutsojannis, Ioannis Hatzilygeroudis
    FESMI: A Fuzzy Expert System for Diagnosis and Treatment of Male Impotence. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:1106-1113 [Conf]
  16. Constantinos Koutsojannis, Ioannis Hatzilygeroudis
    Fuzzy-Evolutionary Synergism in an Intelligent Medical Diagnosis System. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:1313-1322 [Conf]
  17. Ioannis Hatzilygeroudis, Jim Prentzas
    Multi-inference with Multi-neurules. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:30-41 [Conf]
  18. Ioannis Hatzilygeroudis
    IJCAI-91 Workshop on Objects and Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1994, v:15, n:2, pp:86-87 [Journal]
  19. Ioannis Hatzilygeroudis, Han Reichgelt
    ACT-P: A Configurable Theorem-Power. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 1994, v:12, n:3, pp:277-296 [Journal]
  20. Ioannis Hatzilygeroudis, Han Reichgelt
    Handling Inheritance in a System Integrating Logic in Objects. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 1997, v:21, n:3, pp:253-280 [Journal]
  21. Jim Prentzas, Ioannis Hatzilygeroudis
    Rule-based update methods for a hybrid rule base. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2005, v:55, n:2, pp:103-128 [Journal]
  22. Ioannis Hatzilygeroudis
    Integrating (rules, neural networks) and cases for knowledge representation and reasoning in expert systems. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:27, n:1, pp:63-75 [Journal]
  23. Ioannis Hatzilygeroudis
    Using a hybrid rule-based approach in developing an intelligent tutoring system with knowledge acquisition and update capabilities. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:26, n:4, pp:477-492 [Journal]
  24. Ioannis Hatzilygeroudis, Jim Prentzas
    Neurules: Improving the Performance of Symbolic Rules. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2000, v:9, n:1, pp:113-130 [Journal]
  25. Ioannis Hatzilygeroudis, Jim Prentzas
    Constructing Modular Hybrid Rule Bases for Expert Systems. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2001, v:10, n:1-2, pp:87-105 [Journal]
  26. Ioannis Hatzilygeroudis, Jim Prentzas
    Neuro-Symbolic Approaches for Knowledge Representation in Expert Systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:3-4, pp:111-126 [Journal]
  27. Ioannis Hatzilygeroudis, Constantinos Koutsojannis, Nikolaos Papachristou
    Evaluation of Usability and Assessment Capabilities of an e-Learning System for Nursing Radiation Protection. [Citation Graph (0, 0)][DBLP]
    CBMS, 2007, pp:301-306 [Conf]
  28. Ioannis Hatzilygeroudis
    Teaching NL to FOL and FOL to CF Conversions. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2007, pp:309-314 [Conf]
  29. Constantinos Koutsojannis, Ioannis Hatzilygeroudis
    Using a Neurofuzzy Approach in a Medical Application. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:477-484 [Conf]

  30. PIESYS: A Patient Model-Based Intelligent System for Continuing Hypertension Management. [Citation Graph (, )][DBLP]


  31. A Tool for Managing Domain Knowledge in Intelligent Tutoring Systems. [Citation Graph (, )][DBLP]


  32. A Knowledge-based System for Translating FOL Formulas into NL Sentences. [Citation Graph (, )][DBLP]


  33. Using Machine Learning Techniques to Improve the Behaviour of a Medical Decision Support System for Prostate Diseases. [Citation Graph (, )][DBLP]


  34. A Rule-Based System Implementing a Method for Translating FOL Formulas into NL Sentences. [Citation Graph (, )][DBLP]


  35. Improving the Integration of Neuro-Symbolic Rules with Case-Based Reasoning. [Citation Graph (, )][DBLP]


  36. FUNEUS: A Neurofuzzy Approach Based on Fuzzy Adaline Neurons. [Citation Graph (, )][DBLP]


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