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Henrik Boström: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tony Lindgren, Henrik Boström
    Classification with Intersecting Rules. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:395-402 [Conf]
  2. Anette Hulth, Jussi Karlgren, Anna Jonsson, Henrik Boström, Lars Asker
    Automatic Keyword Extraction Using Domain Knowledge. [Citation Graph (0, 0)][DBLP]
    CICLing, 2001, pp:472-482 [Conf]
  3. Zoltán Alexin, Tibor Gyimóthy, Henrik Boström
    Integrating Algorithmic Debugging and Unfolding Transformation in an Interactive Learner. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:403-407 [Conf]
  4. Hilde Adé, Henrik Boström
    JIGSAW: Puzzling together RUTH and SPECTRE (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:263-266 [Conf]
  5. Henrik Boström
    Improving Example-Guided Unfolding. [Citation Graph (0, 0)][DBLP]
    ECML, 1993, pp:124-135 [Conf]
  6. Henrik Boström
    Specialization of Recursive Predicates. [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:92-106 [Conf]
  7. Henrik Boström
    Predicate Invention and Learning from Positive Examples Only. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:226-237 [Conf]
  8. Henrik Boström
    Generalizing the Order of Goals as an Approach to Generalizing Number. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:260-267 [Conf]
  9. Henrik Boström
    Theory-Guideed Induction of Logic Programs by Inference of Regular Languages. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:46-53 [Conf]
  10. Tony Lindgren, Henrik Boström
    Resolving Rule Conflicts with Double Induction. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:60-67 [Conf]
  11. Henrik Boström
    Covering vs. Divide-and-Conquer for Top-Down Induction of Logic Programs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1194-1200 [Conf]
  12. Henrik Boström, Lars Asker
    Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:33-43 [Conf]
  13. Martin Eineborg, Henrik Boström
    Classifying Uncovered Examples by Rule Stretching. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:41-50 [Conf]
  14. Juan José Rodríguez, Carlos J. Alonso, Henrik Boström
    Learning First Order Logic Time Series Classifiers. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  15. Mikael Huss, Henrik Boström, Lars Asker, Joakim Cöster
    Learning to recognize brain specific proteins based on low-level features from on-line prediction servers. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:45-49 [Conf]
  16. Henrik Boström
    Induction of Recursive Transfer Rules. [Citation Graph (0, 0)][DBLP]
    Learning Language in Logic, 1999, pp:237-246 [Conf]
  17. Per Lidén, Lars Asker, Henrik Boström
    Rule Induction for Classification of Gene Expression Array Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:338-347 [Conf]
  18. Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström
    Learning First Order Logic Time Series Classifiers: Rules and Boosting. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:299-308 [Conf]
  19. Carl Gustaf Jansson, Henrik Boström, Peter Idestam-Almquist
    Optimizing Horn Clause Logic Programs for Particular Modes of Use: An Analysis of Explanation-Based Learning and Partial Evaluation. [Citation Graph (0, 0)][DBLP]
    SCAI, 1991, pp:252-257 [Conf]
  20. Zoltán Alexin, Tibor Gyimóthy, Henrik Boström
    IMPUT: An Interactive Learning Tool Based on Program Specialization. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1997, v:1, n:1-4, pp:219-244 [Journal]
  21. Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström
    Boosting interval based literals. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2001, v:5, n:3, pp:245-262 [Journal]
  22. Tony Lindgren, Henrik Boström
    Resolving rule conflicts with double induction. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:5, pp:457-468 [Journal]
  23. Henrik Boström, Peter Idestam-Almquist
    Induction of Logic Programs by Example-Guided Unfolding. [Citation Graph (0, 0)][DBLP]
    J. Log. Program., 1999, v:40, n:2-3, pp:159-183 [Journal]
  24. Thashmee Karunaratne, Henrik Boström
    Learning to classify structured data by graph propositionalization. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2006, pp:283-288 [Conf]
  25. Henrik Boström
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]

  26. Extending Nearest Neighbor Classification with Spheres of Confidence. [Citation Graph (, )][DBLP]


  27. Calibrating Random Forests. [Citation Graph (, )][DBLP]


  28. On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers. [Citation Graph (, )][DBLP]


  29. Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes. [Citation Graph (, )][DBLP]


  30. Estimating class probabilities in random forests. [Citation Graph (, )][DBLP]


  31. Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification. [Citation Graph (, )][DBLP]


  32. Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification. [Citation Graph (, )][DBLP]


  33. Graph Propositionalization for Random Forests. [Citation Graph (, )][DBLP]


  34. Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods. [Citation Graph (, )][DBLP]


  35. The problem with ranking ensembles based on training or validation performance. [Citation Graph (, )][DBLP]


  36. Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics. [Citation Graph (, )][DBLP]


  37. Using uncertain chemical and thermal data to predict product quality in a casting process. [Citation Graph (, )][DBLP]


  38. Chipper - A Novel Algorithm for Concept Description. [Citation Graph (, )][DBLP]


  39. Ensemble member selection using multi-objective optimization. [Citation Graph (, )][DBLP]


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