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Igor Kononenko: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bojan Cestnik, Igor Kononenko, Ivan Bratko
    ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users. [Citation Graph (1, 0)][DBLP]
    EWSL, 1987, pp:31-45 [Conf]
  2. Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja
    Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. [Citation Graph (1, 0)][DBLP]
    Appl. Intell., 1997, v:7, n:1, pp:39-55 [Journal]
  3. Aleksander Sadikov, Ivan Bratko, Igor Kononenko
    Search versus Knowledge: An Empirical Study of Minimax on KRK. [Citation Graph (0, 0)][DBLP]
    ACG, 2003, pp:33-44 [Conf]
  4. Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
    An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:461-464 [Conf]
  5. Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
    Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:77-87 [Conf]
  6. Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
    Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:363-372 [Conf]
  7. Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
    Machine Learning Applied to Diagnosis of Sport Injuries. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:138-141 [Conf]
  8. Igor Kononenko
    Combining Decisions of Multiple Rules. [Citation Graph (0, 0)][DBLP]
    AIMSA, 1992, pp:87-96 [Conf]
  9. Matjaz Bevk, Igor Kononenko
    A Statistical Approach to Texture Description of Medical Images: A Preliminary Study. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:239-240 [Conf]
  10. Igor Kononenko, Miha Sedej, Aleksander Sadikov
    GDV Measures Vitality? [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:443-445 [Conf]
  11. Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
    An application of machine learning in the diagnosis of ischaemic heart disease. [Citation Graph (0, 0)][DBLP]
    CBMS, 1997, pp:70-75 [Conf]
  12. Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
    Diagnosis of sport injuries with machine learning: explanation of induced decisions. [Citation Graph (0, 0)][DBLP]
    CBMS, 1997, pp:195-199 [Conf]
  13. Matjaz Kukar, Igor Kononenko
    Cost-Sensitive Learning with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ECAI, 1998, pp:445-449 [Conf]
  14. Marko Robnik-Sikonja, Igor Kononenko
    Pruning Regression Trees with MDL. [Citation Graph (0, 0)][DBLP]
    ECAI, 1998, pp:455-459 [Conf]
  15. Igor Kononenko
    Semi-Naive Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:206-219 [Conf]
  16. Igor Kononenko
    Estimating Attributes: Analysis and Extensions of RELIEF. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:171-182 [Conf]
  17. Matjaz Kukar, Igor Kononenko
    Reliable Classifications with Machine Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:219-231 [Conf]
  18. Igor Kononenko, Matevz Kovacic
    Learning as Optimization: Stochastic Generation of Multiple Knowledge. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:257-262 [Conf]
  19. Marko Robnik-Sikonja, Igor Kononenko
    Comprehensible Interpretation of Relief's Estimates. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:433-440 [Conf]
  20. Marko Robnik-Sikonja, Igor Kononenko
    An adaptation of Relief for attribute estimation in regression. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:296-304 [Conf]
  21. Marko Robnik-Sikonja, Igor Kononenko
    Attribute Dependencies, Understandability and Split Selection in Tree Based Models. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:344-353 [Conf]
  22. Zoran Bosnic, Igor Kononenko
    Estimation of Prediction Reliability in Regression Based on a Transductive Approach. [Citation Graph (0, 0)][DBLP]
    IICAI, 2005, pp:3502-3516 [Conf]
  23. Igor Kononenko
    On Biases in Estimating Multi-Valued Attributes. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1034-1040 [Conf]
  24. Uros Pompe, Igor Kononenko
    Probabilistic First-Order Classification. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:235-242 [Conf]
  25. Igor Kononenko
    The Minimum Description Length Based Decision Tree Pruning. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1998, pp:228-237 [Conf]
  26. Igor Kononenko
    Inductive and Bayesian learning in medical diagnosis. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1993, v:7, n:4, pp:317-337 [Journal]
  27. Uros Pompe, Igor Kononenko
    Efficient Induction and Effective Use of First-Order Knowledge. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:5, pp:421-453 [Journal]
  28. Ivan Bratko, Bojan Cestnik, Igor Kononenko
    Attribute-Based Learning. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1996, v:9, n:1, pp:27-32 [Journal]
  29. Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
    Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1998, v:11, n:3-4, pp:191-218 [Journal]
  30. Igor Kononenko
    Machine learning for medical diagnosis: history, state of the art and perspective. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:23, n:1, pp:89-109 [Journal]
  31. Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
    Analysing and improving the diagnosis of ischaemic heart disease with machine learning. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:16, n:1, pp:25-50 [Journal]
  32. Matjaz Kukar, Igor Kononenko, T. Silvester
    Machine learning in prognosis of the femoral neck fracture recovery. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:5, pp:431-451 [Journal]
  33. Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
    Comprehensible evaluation of prognostic factors and prediction of wound healing. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:29, n:1-2, pp:25-38 [Journal]
  34. Matjaz Bevk, Igor Kononenko
    Towards symbolic mining of images with association rules: Preliminary results on textures. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:4, pp:379-393 [Journal]
  35. Igor Kononenko
    Successive Naive Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1993, v:17, n:2, pp:- [Journal]
  36. Igor Kononenko
    On Bayesian Neural Networks. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1994, v:18, n:2, pp:- [Journal]
  37. Igor Kononenko
    On Facts Versus Misconceptions about Rough Sets. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1996, v:20, n:4, pp:- [Journal]
  38. Igor Kononenko, Samo Zorc
    Critical Analysis of Rough Sets Approach to Machine Learning. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1994, v:18, n:3, pp:- [Journal]
  39. Igor Kononenko, Ivan Bratko
    Information-Based Evaluation Criterion for Classifier's Performance. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1991, v:6, n:, pp:67-80 [Journal]
  40. Marko Robnik-Sikonja, Igor Kononenko
    Theoretical and Empirical Analysis of ReliefF and RReliefF. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:53, n:1-2, pp:23-69 [Journal]
  41. Aleksander Sadikov, Ivan Bratko, Igor Kononenko
    Bias and pathology in minimax search. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2005, v:349, n:2, pp:268-281 [Journal]
  42. Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
    Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2005, v:80, n:1, pp:47-55 [Journal]

  43. Empirical Analysis of Reliability Estimates for Individual Regression Predictions. [Citation Graph (, )][DBLP]


  44. Towards a Model Independent Method for Explaining Classification for Individual Instances. [Citation Graph (, )][DBLP]


  45. Learning Betting Tips from Users' Bet Selections. [Citation Graph (, )][DBLP]


  46. Estimation of individual prediction reliability using the local sensitivity analysis. [Citation Graph (, )][DBLP]


  47. Efficient Derivation of the Optimal Assembly Sequence from Product Description. [Citation Graph (, )][DBLP]


  48. Comparison of approaches for estimating reliability of individual regression predictions. [Citation Graph (, )][DBLP]


  49. Explaining instance classifications with interactions of subsets of feature values. [Citation Graph (, )][DBLP]


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