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Georg Dorffner: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Georg Dorffner
    An Introduction to Neurocomputing and its Possible Role in AI. [Citation Graph (0, 0)][DBLP]
    Advanced Topics in Artificial Intelligence, 1992, pp:440-464 [Conf]
  2. Georg Dorffner, Ernst Leitgeb, Heinz Koller
    A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:227-231 [Conf]
  3. Georg Dorffner, Ernst Buchberger, Markus Kommenda
    Integrating Stress and Intonation into a Concept-to-Speech System. [Citation Graph (0, 0)][DBLP]
    COLING, 1990, pp:89-94 [Conf]
  4. Georg Dorffner, Manfred Rotter
    On the Virtues of Functional Connectionist Compositionality. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:203-205 [Conf]
  5. Markus Feurstein, Martin Natter, Alfred Taudes, Georg Dorffner
    Hierarchical Coordination of Economic Agents. [Citation Graph (0, 0)][DBLP]
    HICSS, 2000, pp:- [Conf]
  6. Martin Natter, Markus Feurstein, Andreas Mild, Alfred Taudes, Michael Trcka, Georg Dorffner, Christian Merz
    Learning in the Artificial Factory. [Citation Graph (0, 0)][DBLP]
    HICSS, 2000, pp:- [Conf]
  7. Peter Tiño, Georg Dorffner, Christian Schittenkopf
    Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:255-269 [Conf]
  8. Arthur Flexer, Herbert Bauer, Claus Lamm, Georg Dorffner
    Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:609-616 [Conf]
  9. Arthur Flexer, Georg Gruber, Georg Dorffner
    Continuous Unsupervised Sleep Staging Based on a Single EEG Signal. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1013-1018 [Conf]
  10. Tatiana Miazhynskaia, Georg Dorffner, Engelbert J. Dockner
    Risk Management Application of the Recurrent Mixture Density Network Models. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:589-596 [Conf]
  11. Peter Sykacek, Stephen Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner
    A Probabilistic Approach to High-Resolution Sleep Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:617-624 [Conf]
  12. Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek
    Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:627-631 [Conf]
  13. Erich Prem, Markus Mackinger, Georg Dorffner, Gerold Porenta, Heinz Sochor
    Concept Support as a Method for Programming Neural Networks with Symbolic Knowledge. [Citation Graph (0, 0)][DBLP]
    GWAI, 1992, pp:166-175 [Conf]
  14. Peter Tiño, Georg Dorffner
    Recurrent Neural Networks with Iterated Function Systems Dynamics. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:526-532 [Conf]
  15. Shan Parfitt, Peter Tiño, Georg Dorffner
    Graded Grammaticality in Prediction Fractal Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:52-58 [Conf]
  16. Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
    Experiences with Bayesian Learning in a Real World Application. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  17. Peter Tiño, Georg Dorffner
    Building Predictive Models from Fractal Representations of Symbolic Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:645-651 [Conf]
  18. Georg Dorffner
    Konnektionismus in der AI. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1989, pp:212-217 [Conf]
  19. Georg Dorffner
    A Radical View on Connectionist Language Modeling. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1990, pp:217-220 [Conf]
  20. Georg Dorffner, Stanley C. Kwasny, Robert F. Port
    Parsing Phonetic Segments into Syllables. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1987, pp:49-63 [Conf]
  21. Georg Dorffner, Harald Trost
    Morphologische Analyse und intelligente Fehlerkorrektur in VIE-LANG. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1985, pp:42-55 [Conf]
  22. Manfred Rotter, Georg Dorffner
    Struktur und Konzeptrelationen in verteilten Netzwerken. [Citation Graph (0, 0)][DBLP]
    ÖGAI, 1990, pp:85-94 [Conf]
  23. Gerald Fritz, Lucas Paletta, Manish Kumar, Georg Dorffner, Ralph Breithaupt, Erich Rome
    Visual Learning of Affordance Based Cues. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:52-64 [Conf]
  24. Georg Dorffner, Erich Prem, Claudia Ulbricht, Herbert Wiklicky
    Theory and Practice of Neural Networks. [Citation Graph (0, 0)][DBLP]
    Wissensbasierte Systeme, 1991, pp:476-485 [Conf]
  25. Georg Dorffner
    Replacing symbolic rule systems with PDO Networks - Netzsprech: a German Example. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1989, v:3, n:1, pp:45-67 [Journal]
  26. Georg Dorffner
    How connectionism can change AI and the way we think about ourselves. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1993, v:7, n:1, pp:59-85 [Journal]
  27. Arthur Flexer, Georg Dorffner, Peter Sykacek, Iead Rezek
    An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2002, v:16, n:3, pp:199-207 [Journal]
  28. Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
    Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2002, v:16, n:5, pp:395-421 [Journal]
  29. Georg Dorffner, Gerold Porenta
    On using feedforward neural networks for clinical diagnostic tasks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1994, v:6, n:5, pp:417-435 [Journal]
  30. Arthur Flexer, Georg Gruber, Georg Dorffner
    A reliable probabilistic sleep stager based on a single EEG signal. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:33, n:3, pp:199-207 [Journal]
  31. Claudia Ulbricht, Georg Dorffner, Andreas Lee
    Neural networks for recognizing patterns in cardiotocograms. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:12, n:3, pp:271-284 [Journal]
  32. Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner
    Simulation and Validation of an Integrated Markets Model. [Citation Graph (0, 0)][DBLP]
    J. Artificial Societies and Social Simulation, 2003, v:6, n:4, pp:- [Journal]
  33. Peter Tiño, Georg Dorffner
    Predicting the Future of Discrete Sequences from Fractal Representations of the Past. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:45, n:2, pp:187-217 [Journal]
  34. Arthur Flexer, Herbert Bauer, Jürgen Pripfl, Georg Dorffner
    Using ICA for removal of ocular artifacts in EEG recorded from blind subjects. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:7, pp:998-1005 [Journal]
  35. Peter Tiño, Christian Schittenkopf, Georg Dorffner
    Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2001, v:4, n:4, pp:283-299 [Journal]
  36. Tatiana Miazhynskaia, Sylvia Frühwirth-Schnatter, Georg Dorffner
    Bayesian testing for non-linearity in volatility modeling. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:51, n:3, pp:2029-2042 [Journal]
  37. Roman Rosipal, Björn Peters, Göran Kecklund, Torbjörn Åkerstedt, Georg Gruber, Michael Woertz, Peter Anderer, Georg Dorffner
    EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model. [Citation Graph (0, 0)][DBLP]
    HCI (16), 2007, pp:294-303 [Conf]
  38. Lucas Paletta, Gerald Fritz, Florian Kintzler, Jörg Irran, Georg Dorffner
    Perception and Developmental Learning of Affordances in Autonomous Robots. [Citation Graph (0, 0)][DBLP]
    KI, 2007, pp:235-250 [Conf]

  39. Learning Predictive Features in Affordance based Robotic Perception Systems. [Citation Graph (, )][DBLP]


  40. Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning. [Citation Graph (, )][DBLP]


  41. Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps. [Citation Graph (, )][DBLP]


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