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Gerhard Paass: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gerhard Paass
    Anonymität von Individualdaten in statistischen Datenbanken. [Citation Graph (0, 0)][DBLP]
    Datenschutz und Datensicherung, 1985, pp:156-170 [Conf]
  2. Gerhard Paass
    Probabilistic Default Reasoning Involving Continous Variables. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:267-271 [Conf]
  3. Joachim Diederich, Don Simonetta, Gerhard Paass
    Estimating Blue-Green Algae Counts with Neurocomputing Techniques. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:127-131 [Conf]
  4. Gerhard Paass, Jörg Kindermann
    Multistep Sequential Exploration of Growing Bayesian Classification Models. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:566-574 [Conf]
  5. Gerhard Paass
    Probabilistic Default Reasoning. [Citation Graph (0, 0)][DBLP]
    IPMU, 1990, pp:76-85 [Conf]
  6. Gerhard Paass
    Bayesian Integration of Uncertain and Conflicting Evidence. [Citation Graph (0, 0)][DBLP]
    GWAI, 1989, pp:421-427 [Conf]
  7. Gerhard Paass, Franz J. Kurfess
    Wissensverarbeitung mit neuronalen Netzen. [Citation Graph (0, 0)][DBLP]
    KI, 1993, pp:217-225 [Conf]
  8. Gerhard Paass
    Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:196-203 [Conf]
  9. Gerhard Paass, Jörg Kindermann
    Bayesian Query Construction for Neural Network Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:443-450 [Conf]
  10. Gerhard Paass
    A Stochastic EM Learning Algorithm for Structured Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1990, pp:196-201 [Conf]
  11. Gerhard Paass, Jörg Kindermann
    Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:234-245 [Conf]
  12. Jörg Kindermann, Gerhard Paass, Edda Leopold
    Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:266-276 [Conf]
  13. Jörg Kindermann, Gerhard Paass
    Model Switching for Bayesian Classification Trees with Soft Splits. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:148-157 [Conf]
  14. Gerhard Paass, Jörg Kindermann
    Transparency and Predicive Power: Explaining Complex Classification Models. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:558-565 [Conf]
  15. Gerhard Paass, Edda Leopold, Martha Larson, Jörg Kindermann, Stefan Eickeler
    SVM Classification Using Sequences of Phonemes and Syllables. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:373-384 [Conf]
  16. Heinz Mühlenbein, Gerhard Paass
    From Recombination of Genes to the Estimation of Distributions I. Binary Parameters. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:178-187 [Conf]
  17. Gerhard Paass
    Second order probabilities for uncertain and conflicting evidence. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:447-456 [Conf]
  18. Gerhard Paass
    Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:264-270 [Conf]
  19. Gerhard Paass
    MESA: Maximum Entropy by Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    UAI, 1992, pp:230-237 [Conf]
  20. Joachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass
    Authorship Attribution with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:19, n:1-2, pp:109-123 [Journal]
  21. Gerhard Paass, Jörg Kindermann
    Bayesian regression mixtures of experts for geo-referenced data. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:6, pp:567-582 [Journal]
  22. Jochen Heinsohn, Gerhard Paass
    European Conference on Symbolic and Quantitative Approaches for Uncertainty. [Citation Graph (0, 0)][DBLP]
    KI, 1992, v:6, n:2, pp:42- [Journal]
  23. Alexander Linden, Gerhard Paass
    Bericht von der Konferenz ``Neural Information Processing Szstems - Natural and Synthetic'' (NIPS) 1992. [Citation Graph (0, 0)][DBLP]
    KI, 1993, v:7, n:3, pp:26-29 [Journal]
  24. Knut Möller, Gerhard Paass
    Künstliche Neuronale Netze: eine Bestandsaufnahme. [Citation Graph (0, 0)][DBLP]
    KI, 1994, v:8, n:4, pp:37-61 [Journal]
  25. Gerhard Paass, Jörg Kindermann
    Klassifikation mit Populationen von heterogenen Modellen. [Citation Graph (0, 0)][DBLP]
    KI, 1998, v:12, n:2, pp:56-65 [Journal]
  26. Andreas Hotho, Andreas Nürnberger, Gerhard Paass
    A Brief Survey of Text Mining. [Citation Graph (0, 0)][DBLP]
    LDV Forum, 2005, v:20, n:1, pp:19-62 [Journal]

  27. Detecting Known and New Salting Tricks in Unwanted Emails. [Citation Graph (, )][DBLP]


  28. Improved Phishing Detection using Model-Based Features. [Citation Graph (, )][DBLP]


  29. A Logic-Based Approach to Relation Extraction from Texts. [Citation Graph (, )][DBLP]


  30. Semantic relation extraction with kernels over typed dependency trees. [Citation Graph (, )][DBLP]


  31. Dependency Tree Kernels for Relation Extraction from Natural Language Text. [Citation Graph (, )][DBLP]


  32. Anticipating Hidden Text Salting in Emails. [Citation Graph (, )][DBLP]


  33. Named Entity Recognition of Spoken Documents Using Subword Units. [Citation Graph (, )][DBLP]


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