OFAI

Publications of Georg Dorffner

Rome E., Hertzberg J., Dorffner G., Doherty P. (eds.): Towards Affordance-Based Robot Control, Springer Berlin/Heidelberg, 2008.

Dorffner G., Rattenberger J., Hoertnagl E., Bercovitch J., Trappl R.: Neural Computation for International Conflict Management., in Trappl R.(ed.), Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention., Springer Academic Publishers, Dordrecht, NL., 2006.

Fritz G., Paletta L., Breithaupt R., Rome E., Dorffner G.: Learning predictive features in affordance-based robotics, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Szstems (IROS 2006), Beijing, China, October 9-15, pp.3642-3647, 2006.

Fritz G., Paletta L., Kumar M., Dorffner G., Breithaupt R., Rome E.: Visual learning of affordance-based cues, in Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB 2006), LNAI 4095, Springer Verlag, Berlin, pp.52-64, 2006.

Kadlec P., Dorffner G.: Learning of Dynamic Object Representations, in Trappl R.(ed.), Cybernetics and Systems 2006, Austrian Society for Cybernetic Studies, Vienna, pp.507-512, 2006.

Lewandowski A., Ludl M., Byrne G., Dorffner G.: Applying the Yule-Nielsen Equation with Negative n, Journal of the Optical Society of America A, Vol. 23, pages 1827-1834, 2006.

Miazhynskaia T., Dorffner G.: A Comparison of Bayesian Model Selection Based on MCMC with an Application to GARCH-type Models, Statistical Papers, 47, 525-549, 2006.

Miazhynskaia T., Fruehwirth-Schnatter S., Dorffner G.: Bayesian testing for non-linearity in volatility modeling, Computational Statistics & Data Analysis, 51(3)2029-2042, 2006.

Paletta L., Fritz G., Rome E., Dorffner G.: A computational model for visual learning of affordance-like cues, in ECVP06, Proceedings of the 29th European Conference on Visual Perception, St. Petersburg, Russia, August 20-25, 2006.

Anderer P., Gruber G., Parapatics S., Woertz M., Miazhynskaia T., Kloesch G., Saletu B., Zeitlhofer J., Barbanoj M., Danker-Hopfe H., Himanen S., Kemp B., Penzel T., Groezinger M., Kunz D., Rappelsberger P., Schloegl A., Dorffner G.: An E-Health Solution for Automatic Sleep Classification according to Rechtschaffen and Kales: Validation Study of the Somnolyzer 24 x 7 Utilizing the Siesta Database., Neuropsychobiology, 51(3)115-133, 2005.

Danker-Hopfe H., Schaefer M., Dorn H., Anderer P., Saletu B., Gruber G., Zeitlhofer J., Kunz D., Barbanoj M., Himanen S.L., Kemp B., Penzel T., Roeschke J., Dorffner G.: Percentile reference charts for selected sleep parameters for 20- to 80-year-old healthy subjects from the SIESTA database, Somnologie, 9(1)3-14, 2005.

Flexer A., Bauer H., Pfripfl J., Dorffner G.: Using ICA for removal of ocular artifacts in EEG recorded from blind subjects, Neural Networks, Volume 18, Issue 7, pp. 998-1005, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2005-07

Flexer A., Gruber G., Dorffner G.: A reliable probabilistic sleep stager based on a single EEG signal., Artificial Intelligence in Medicine, 33(3)199-207, 2005.

Neumann C., Gschwendtner M., Karnel F., Mair J., Dorffner G., Dorffner R.: Technical feasibility of the implantation of a monorail stent system into the renal arteries without pre-dilatation, Fortschr Roentgenstr (RoFo), 177:84-88, 2005.

Danker-Hopfe H., Kunz D., Gruber G., Kloesch G., Lorenzo J.L., Himanen S.L., Kemp B., Penzel T., Roeschke J., Dorn H., Schloegl A., Trenker E., Dorffner G.: Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders, Journal of Sleep Research, 13(1)63-69, 2004.

Findl O., Struhal W., Dorffner G., Drexler W.: Analysis of non-linear systems to estimate the intraocular lens position after cataract surgery, Journal of Cataract and Refractive Surgery, 30(4)863-866, 2004.

Flexer A., Gruber G., Dorffner G.: A reliable probabilistic sleep stager based on a single EEG signal, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2004-18

Dorffner R., Neumann C., Gergely I., Renner R., Juhasz M., Resinger M., Dorffner G.: Implantation of the Corinthian IQ stent into the femeropoplietal arteries using 6-F introducer sheaths and crossover procedures: midterm results, European Radiology, 13 (11) 2535-2539, 2003.

Flexer A., Bauer H., Pripfl J., Dorffner G.: Using ICA for removal of ocular artifacts in EEG recorded from blind subjects, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-06

Miazhynskaia T., Dorffner G., Dockner E.J.: Risk management application of the recurrent mixture densitz network, Proceedings of Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP 2003), Lecture Notes in Computer Science, Springer Verlag Heidelberg, pp.589-596, 2003.

Sallans B., Pfister A., Dorffner G.: A Simulation Study of Managerial Compensation, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-33

Sallans B., Pfister A., Karatzoglou A., Dorffner G.: Simulation and validation of an integrated markets model, Journal of Artificial Societies and Social Simulation, 6(4), 2003.

Sallans B., Pfister A., Karatzoglou A., Dorffner G.: Simulation and Validation of an Integrated Markets Model, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-03

Dawid H., Doerner K., Dorffner G., Fent T., Feurstein M., Hartl R., Mild A., Natter M., Reimann M., Taudes A.: Quantitative Models of Learning Organizations, Springer Wien/New York, 2002.

Flexer A., Dorffner G., Sykacek P., Rezek I.: An automatic, continuous and probabilistic sleep stager based on a hidden markov model, Applied Artificial Intelligence, Vol. 16, Num. 3, pp.199-207, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2001-35

Flexer A., Gruber G., Dorffner G.: Continuous Unsupervised Sleep Staging Based on a Single EEG Signal, in Dorronsoro J.R.(ed.), Artificial Neural Networks - ICANN 2002, Lecture Notes in Computer Science, Springer, pp. 1013-1018, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-03

Flexer A., Gruber G., Dorffner G.: Improvements on continuous unsupervised sleep staging, in Bourlard H., et al.(eds.), Neural Networks for Signal Processing XII, Institute of Electrical and Electronics Engineers, Inc., New York, NY, pp. 687-695, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-24

Gruber G., Flexer A., Dorffner G.: Unsupervised continuous sleep analysis based on a single EEG channel (abstract), Journal of Sleep Research, 16th Congress of the European Sleep Research Society, Vol. 11, Supplement 1, p.89, 2002.

Gruber G., Flexer A., Dorffner G.: Unsupervised Continuous Sleep Analysis, Methods and Findings in Experimental and Clinical Pharmacology, Vol. 24, Suppl. D, pp.51-56, 2002.

Prem E., Hoertnagl E., Dorffner G.: Growing Event Memories for Autonomous Robots, Simulation of Adaptive Behavior, Workshop on Growing up Artifacts that Live, 2002.

Sallans B., Dorffner G., Karatzoglou A.: Feedback Effects in Interacting Markets, Proceedings of the Third Workshop on Agent-Based Simulation, SCS-European Publishing House, Ghent, Belgium, pp.126-131, 2002.

Sallans B., Dorffner G., Karatzoglou A.: The Dynamics of Iteracting Markets: First Results, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-01

Schittenkopf C., Tino P., Dorffner G.: The benefit of information reduction for trading strategies, Applied Economics, 34(7)917-930, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2000-21

Sykacek P., Dorffner G., Rappelsberger P., Zeitlhofer J.: Improving biosignal processing through modeling uncertainty: Bayes vs. non-Bayes in sleep staging, Applied Artificial Intelligence, 16(5)395-421, 2002.

Dorffner G., Bischof H., Hornik K. (eds.): Artificial Neural Networks - ICANN 2001, International Conference, Vienna, Austria, Lecture Notes In Computer Science 2130, Springer, 2001.

Dorffner G., Schellner K., Prem E.: Regularized Gaussian Mixture Models for Effective Short-Term Forecasting of Rainfall Pattern, Elektrotechnik und Informationstechnik, 118(7/8)371-378, 2001.

Flexer A., Bauer H., Lamm C., Dorffner G.: Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component, in Dorffner G., et al.(eds.), Artificial Neural Networks - ICANN 2001, International Conference, Vienna, Austria, Lecture Notes In Computer Science 2130, Springer, pp. 609-616, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-05

Flexer A., Bauer H., Lamm C., Dorffner G.: Model-based Noise Reduction for Single Trial Evoked Potentials, in Miller D.J., et al.(eds.), Neural Networks for Signal Processing XI, Institute of Electrical and Electronics Engineers, Inc., New York, NY, pp.499-508, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-10

Kloesch G., Kemp B., Penzel T., Schloegl A., Rappelsberger P., Trenker E., Gruber G., Zeitlhofer J., Saletu B., Herrmann W.M., Himanen S.-L., Kunz D., Barbanoj M., Roeschke J., Vaerri A., Dorffner G.: The SIESTA Project Polygraphic and Clinical Database, IEEE Engineering in Medicine and Biology Magazine, 20(3)51-57, 2001.

Natter M., Mild A., Feurstein M., Dorffner G., Taudes A.: The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process, Management Science, 47(8)1029-1045, 2001.

Rappelsberger P., Trenker E., Rothmann C., Gruber G., Sykacek P., Roberts S., Kloesch G., Zeitlhofer J., Anderer P., Saletu B., Schloegl A., Vaerri A., Kemp B., Penzel T., Herrmann W.M., Hasan J., Barbanoj M., Roeschke J., Kunz D., Dorffner G.: Das Projekt SIESTA, Klinische Neurophysiologie, 32, 76-88, 2001.

Roiser S., Dorffner G.: An Intelligent Web-based Tool For The Virtual Research Enterprise, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-07

Schittenkopf C., Dorffner G.: Risk-neutral extraction from option prices: improved pricing with mixture density networks, IEEE Transactions on Neural Networks, 12(4)716-725, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2000-26

Sykacek P., Roberts S., Rezek I., Flexer A., Dorffner G.: A Probabilistic Approach to High-Resolution Sleep Analysis, in Dorffner G., et al.(eds.), Artificial Neural Networks - ICANN 2001, International Conference, Vienna, Austria, Lecture Notes In Computer Science 2130, Springer, pp. 617-624, 2001.
http://www.robots.ox.ac.uk/~sjrob/Pubs/sleep_icann01.ps.gz

Tino P., Dorffner G.: Predicting the future of discrete sequences from fractal representations of the past, Machine Learning, 45(2)187-217, 2001.

Tino P., Schittenkopf C., Dorffner G.: Temporal pattern recognition in noisy non-stationary time series based on quantization into symbolic streams: Lessons learned from financial volatility trading, Pattern Analysis and Applications, 4:283-299, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2000-22

Tino P., Schittenkopf C., Dorffner G.: Financial volatility trading using recurrent neural networks, IEEE Transactions on Neural Networks, 12(4)865-874, 2001.

Dorffner G.: The subsymbolic approach to ANN-based natural language processing, in Dale R., et al., Handbook of Natural Language Processing, Marcel Dekker Inc., New York, pp. 785-822, 2000.

Flexer A., Sykacek P., Rezek I., Dorffner G.: Using Hidden Markov Models to build an automatic, continuous and probabilistic sleep stager, in Amari S.-I., et al.(eds.), Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IEEE Computer Society, Vol. III, 627-631, 2000.

Natter M., Feurstein M., Mild A., Taudes A., Trcka M., Dorffner G., Merz C.: Learning in the artificial factory, IEEE Proceedings of the Hawai`i International Conference on System Sciences (HICSS 2000), 2000.
http://indi.wu-wien.ac.at/research/working-papers/2000/natter_hicss00.ps

Parfitt S., Dorffner G., Tino P.: Graded grammaticality in Prediction Fractal Machines, in Solla S.A., et al.(eds.), Advances in Neural Information Processing Systems 12, MIT Press, Cambridge/Boston/London, pp. 52-58, 2000.

Schellner K., Dorffner G., Prem E.: Predicting Rainfall Patterns Using Regularized Gaussian Mixture Models, in Trappl R.(ed.), Cybernetics and Systems 2000, Oesterreichische Studiengesellschaft fuer Kybernetik, Wien, pp.564-569, 2000.

Schittenkopf C., Dorffner G.: Risk-neutral Density Extraction from Option Prices: Improved Pricing with Mixture Density Networks, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-26

Schittenkopf C., Dorffner G., Dockner E.J.: Forecasting time-dependent conditional densities: A semi-nonparametric neural network approach, Journal of Forecasting, 19, 355-374, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+99-14

Schittenkopf C., Dorffner G., Dockner E.J.: On non-linear, stochastic dynamics in economic and financial time series, Studies in Nonlinear Dynamics and Econometrics, 4(3), 2000.
http://mitpress.mit.edu/e-journals/SNDE/004/articles/v43002.pdf

Taudes A., Dorffner G., Natter M., Feurstein M., Merz C., Mild A., Trcka M.: Learning Market-Production Interaction, Proceedings of The 1999 IEEE Systems, Man, and Cybernetics Conference (SMC'99) , Tokyo 1999, 2000.
http://indi.wu-wien.ac.at/research/working-papers/1999/taudes_smc99.pdf

Tino P., Dorffner G.: Building predictive models from spatial representations of symbolic sequences, in Solla S.A., et al.(eds.), Advances in Neural Information Processing Systems 12, MIT Press, Cambridge/Boston/London, pp. 645-651, 2000.

Tino P., Dorffner G., Schittenkopf C.: Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics, In Hybrid Neural Symbolic Integration, (eds) S. Wermter, R. Sun. Springer Verlag, 2000, pp.255-269, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+98-28

Tino P., Schittenkopf C., Dorffner G.: Methods of Symbolic Dynamics in Options Trading, Proceedings of the Computational Finance 2000 Conference, London, UK, May/June 2000 (on CD), 2000.

Tino P., Schittenkopf C., Dorffner G., Dockner E.J.: A Symbolic Dynamics Approach to Volatility Prediction, In Y.S. Abu-Mostafa, B. LeBaron, A.W. Lo, A.S. Weigend. (eds): Computational Finance 99, MIT Press, Cambridge, MA, 2000., pp.137-151, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+98-28

Anderer P., Roberts S., Schloegl A., Gruber G., Kloesch G., Herrmann W., Rappelsberger P., Filz O., Barbanoj M.J., Dorffner G., Saletu B.: Artifact processing in computerized analysis of sleep EEG - a review, Neuropsychobiology, 40(3)150-157, 1999.

Dorffner G.: The connectionist route to embodiment and dynamicism, in Riegler A., et al., Understanding Representation in the Cognitive Sciences, Kluwer, Boston/Dordrecht/London, pp.23-32, 1999.

Dorffner G., Leitgeb E., Koller H.: A comparison of linear and non-linear classifiers for the detection of coronary artery disease in stress-ECG, in Horn W., et al.(eds.), Artificial Intelligence in Medicine, Springer, Berlin, pp.227-231, 1999.

Flexer A., Sykacek P., Rezek I., Dorffner G.: Using Hidden Markov Models to build an automatic, continuous and probabilistic sleep stager for the SIESTA project (extended abstract), Medical and Biological Engineering and Computing, Supplement 2, Proceedings of EMBEC'99, p.1658-1659, 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-15

Lee A., Ulbricht C., Dorffner G.: Application of artificial neural networks for detection of abnormal fetal heart rate pattern: a comparison with conventional algorithms, Journal of Obstetrics and Gynaecology, 19(5)482-485, 1999.

Schittenkopf C., Dorffner G., Dockner E.J.: Fat Tails and Non-linearity in Volatility Models: What is more important?, Proc. of IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering (CIFEr), New York City, NY, USA, pp.259-266, 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-05

Schittenkopf C., Dorffner G., Dockner E.J.: Non-linear versus Non-gaussian Volatility Models, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-19

Schloegl A., Kemp B., Penzel T., Kunz D., Himanen S.-L., Varri A., Dorffner G., Pfurtscheller G.: Quality Control of polysomnographic sleep data by histogram and entropy analysis, Clinical Neurophysiology, 110(12)2165-2170, 1999.

Sykacek P., Dorffner G.: Biosignalverarbeitung mit Bayes'schen Methoden, OeGAI Journal, 18/3, 18-24, 1999.

Sykacek P., Roberts S.J., Rezek I., Flexer A., Dorffner G.: Classification in the sampling paradigm: A predictive approach towards a SIESTA sleep analyzer, Medical and Biological Engineering and Computing, Supplement 2, Proceedings of EMBEC'99, 1999.

Sykacek P., Roberts S.J., Rezek I.A., Flexer A., Dorffner G.: Bayesian wrappers versus conventional filters: Feature subset selection in the SIESTA project, Medical and Biological Engineering and Computing, Supplement 2, Proceedings of EMBEC '99, 1999.

Sykacek P., Roberts S.J., Rezek I.A., Flexer A., Dorffner G.: Reliability in preprocessing - Bayes rules SIESTA, Medical and Biological Engineering and Computing, Supplement 2, Proceedings of EMBEC '99, November 4-7, Vienna, Austria, 1999.

Dorffner G.: Toward a new standard of modeling sleep based on polysomnograms - the SIESTA project (abstract), Electroencephalography and Clinical Neurophysiology, 106, suppl. 1001, p.28, 1998.

Dorffner G.: Flexible features, connectionism and computational learning theory, Behavioral and Brain Sciences, 21(1)24, 1998.

Hallas M., Dorffner G.: A Comparative Study on Feedforward and Recurrent Neural Networks in Time Series Prediction Using Gradient Descent Learning, in Trappl R.(ed.), Cybernetics and Systems '98 - Proc. of 14th European Meeting on Cybernetics and Systems Research, Austrian Society for Cybernetic Studies, Vienna, pp.644-647, 1998.

Magdolen J., Rappelsberger P., Dorffner G., Flexer A., Winterer G.: Artificial neural networks for discriminating relapsing from abstaining alcoholics, Proc. of 4th Int. Symposium on CNS Monitoring, (to appear), 1998.

Rappelsberger P., Magdolen J., Winterer G., Dorffner G., Flexer A.: Classification of EEG of schizophrenics and depressives with artificial neural networks, Proc. of 4th Int. Symposium on CNS Monitoring, (to appear), 1998.

Rosipal R., Dorffner G., Trenker E.: Can ICA improve sleep-spindles detection?, Neural Network World, 8(5), 539-547, 1998.
http://www.neuro.savba.sk/~rosipal/Papers/NNWorld98.ps.gz

Schittenkopf C., Dorffner G., Dockner E.J.: Volatility Prediction with Mixture Density Networks, in Niklasson L., Boden M., Ziemke T. (eds.), Proceedings of the 8th International Conference on Artificial Neural Networks, Skoevde, Sweden, Springer, Berlin., pp.929-934, 1998.
http://www.ofai.at/cgi-bin/tr-online?number+98-15

Schittenkopf C., Dorffner G., Dockner E.J.: Identifying Stochastic Processes with Mixture Density Networks, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1998.
http://www.ofai.at/cgi-bin/tr-online?number+98-16

Sykacek P., Dorffner G., Rappelsberger P., Zeitlhofer J.: Experiences with bayesian learning in a real world application, in Jordan M.I., et al., Advances in Neural Information Processing Systems 10 (NIPS'98), MIT Press/Bradford Books, Cambridge/London, pp.964-970, 1998.

Sykacek P., Dorffner G., Rappelsberger P., Zeitlhofer J.: Relevant input features for sleep staging with neural networks, Proc. of 4th Int. Symposium on CNS Monitoring, Gmunden, 1996, 1998.

Tino P., Dorffner G.: Recurrent Neural Networks with Iterated Function Systems Dynamics, in NC'98, Proceedings of the ICSC/IFAC Symposium on Neural Computation, Vienna, Austria., pp.526-532, 1998.
http://www.ofai.at/cgi-bin/tr-online?number+98-20

Trenker E., Hajek J., Rappelsberger P., Zeitlhofer J., Anderer P., Dorffner G.: Automatic detection of sleep spindles using artificial neural networks (abstract), Journal of Sleep Research, 7, suppl. 2, 280, 1998.

Trenker E., Rappelsberger P., Hajek J., Zeitlhofer J., Dorffner G.: Automatische Erkennung von Schlafspindeln, Biomed. Technik, 43/2, 34-36, 1998.

Ulbricht C., Dorffner G., Lee A.: Neural Networks for Recognizing Patterns in Cardiotocograms, Artificial Intelligence in Medicine,, 271-284, 1998.
http://www.ofai.at/cgi-bin/tr-online?number+97-18

Dorffner G.: Radical Connectionism - A Neural Bottom-Up Approach to AI, in Dorffner G.(ed.), Neural Networks and a New AI, International Thomson Computer Press, London, 1997.

Dorffner G.: Can neural networks improve signal processing? A critical assessment from the ANNDEE project., Proc. of Measurement '97, 1997.

Dorffner G.: Artificial neural networks for EEG processing - the ANNDEE report (abstract), Proc. of 4th European Conf. on Engineering and Medicine, 1997.

Dorffner G. (ed.): Neural Networks and a New AI, International Thomson Computer Press, London, 1997.

Dorffner G., Harris C.L.: When pseudowords become words - effects of learning on orthographic similarity priming, in Shafto M.G. and Langley P.(eds.), Proceedings of the 19th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, New Haven/Hillsdale/Hove, pp.185-190, 1997.

Dorffner G., Stoecklmayer C., Schmidt C., Schima H.: Synergies between statistical data analysis and neural networks in the control of rotary blood pumps, Cybernetics and Systems, 28(3) 215-224, 1997.
http://www.ofai.at/cgi-bin/tr-online?number+94-22

Sykacek P., Dorffner G., Filz O., Rappelsberger P., Zeitlhofer J.: Classification of rem sleep periods with artificial neural networks, Proc. of Measurement '97, Smolenice 1997, 1997.

Sykacek P., Dorffner G., Rappelsberger P., Zeitlhofer J.: Evaluating confidence measures in a neural network based sleep stager, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1997.

Dorffner G.: Neural networks for time series processing, Neural Network World, 6(4)447-468, 1996.
http://www.ofai.at/cgi-bin/tr-online?number+96-17

Dorffner G.: Categorization in early language acquisition - accounts from a connectionist model, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1996.
http://www.ofai.at/cgi-bin/tr-online?number+96-16

Dorffner G., Hentze M., Thurner G.: A Connectionist Model of Categorization and Grounded Word Learning, in Koster C., Wijnen F. (eds.): Proceedings of the Groningen Assembly on Language Acquisition (GALA '95), 1996.
http://www.ofai.at/cgi-bin/tr-online?number+96-15

Magdolen J., Rappelsberger P., Dorffner G., Flexer A., Winterer G.: Application of Non-Linear Classifiers to EEG at Rest for Identifying Psychiatric Disorders, in Trappl R.(ed.), Cybernetics and Systems '96, Oesterreichische Studiengesellschaft fuer Kybernetik, Wien, pp.592-596, 1996.

Magdolen J., Rappelsberger P., Dorffner G., Flexer A., Winterer G.: Artificial neural networks and data dimensionality reduction mappings for identification of psychiatric disorders in EEG, Medical and Biological Engineering and Computing, pp.237-238, 1996.

Sykacek P., Dorffner G., Filz O., Rappelsberger P., Zeitlhofer J.: Evaluierung einer automatischen Schlafstadien-Klassifizierung mittels nichtlinearer neuraler Netze (abstract), in Medizinische Experten- und wissensbasierte Systeme am AKH Wien, Institut f. Med.Computerwissenschaften und Institut f. Med.Kybernetik und Artificial Intelligence, Universitaet Wien, 1996.

Ulbricht C., Dorffner G., Lee A.: Forecasting Fetal Heartbeats with Neural Networks, in Bulsari A.B., et al.(eds.), Solving Engineering Problems with Neural Networks, Systeemitekniikan seura ry, Turku, pp.403-406, 1996.
http://www.ofai.at/cgi-bin/tr-online?number+97-05

Ulbricht C., Dorffner G., Lee A.: CTG-Analyse mit neuronalen Netzen, in Medizinische Experten- und wissensbasierte Systeme am AKH Wien, Institut f. Med.Computerwissenschaften und Institut f. Med.Kybernetik und Artificial Intelligence, Universitaet Wien, 1996.

Veits W., Dorffner G., Schmidt C., Schima H.: On-line adaptive artificial neural network-based monitoring of rotary blood pumps, in Bulsari A.B., et al.(eds.), Solving Engineering Problems with Neural Networks, Systeemitekniikan seura ry, Turku, pp.399-402, 1996.

Dorffner G.: A generalized view on learning in feedforward neural networks, in Cromme L., et al.(eds.), CoWAN'94, Technische Universitaet Cottbus, Reihe Mathematik M-01/1995, pp.34-54, 1995.
http://www.ofai.at/cgi-bin/tr-online?number+95-20

Dorffner G.: Classification through Hyperplane Fitting with Feedforward Neural Networks, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1995.
http://www.ofai.at/cgi-bin/tr-online?number+95-19

Dorffner G., Moeller K., Paass G., Vogel S. (eds.): Konnektionismus und Neuronale Netze, GMD-Studien, 1995.

Flexer A., Rappelsberger P., Dorffner G.: Processing of EEG coherence maps with topologically correct feature maps, in Eiselt M., et al.(eds.), Quantitative and Topological EEG and MEG Analysis, Universitaetsverlag Jena, 1995.

Stoecklmayer C., Dorffner G., Schmidt C., Schima H.: An Artificial Neural Network Based Noninvasive Detector for Suction and Left Atrium Pressure in the Control of Rotary Blood Pumps - An In-vitro Study, Artificial Organs, 19(7)719-724, 1995.

Ulbricht C., Dorffner G., Lee A.: Computer Supported Evaluation of the CTG with Neural Networks (abstract), in Pedotti A. and Rabischong P.(eds.), 3rd European Conference on Engineering and Medicine, European Society for Engineering and Medicine, p. 435, 1995.

Dorffner G.: Repraesentation und Selbstorganisation im Konnektionismus, in Duwe I., et al.(eds.), Konnektionismus und Neuronale Netze, GMD, Sankt Augustin, Germany, pp.213-228, 1994.

Dorffner G.: Why Connectionism and Language Modeling Need DETE, Connection Science, 6(1)115-118, 1994.

Dorffner G.: A Unified Framework for of MLPs and RBFNs: Introducing Conic Section Function Networks, Cybernetics and Systems,, 511-554, 1994.
http://www.ofai.at/cgi-bin/tr-online?number+93-25

Dorffner G., Leitgeb E., Koller H.: Toward Improving Exercise ECG for Detecting Ischemic Heart Disease with Recurrent and FeedForward Neural Nets, in Vlontzos J., et al.(eds.), Neural Networks for Signal Processing IV, Institute of Electrical and Electronics Engineers, Inc., New York, NY, pp.499-508, 1994.
http://www.ofai.at/cgi-bin/tr-online?number+94-23

Dorffner G., Porenta G.: On Using Feedforward Neural Networks for Clinical Diagnostic Tasks, Artificial Intelligence in Medicine, 6(5), Special Issue on Neurocomputing in Medicine, pp. 417-435, 1994.
http://www.ofai.at/cgi-bin/tr-online?number+93-23

Dorffner G., Wiklicky H., Prem E.: Formal Neural Network Specification and its Implications on Standardization, Computer Standards and Interfaces, 16, spec. issue on Artificial Neural Network Standards, pp.205-219, 1994.
http://www.ofai.at/cgi-bin/tr-online?number+93-24

Flexer A., Rappelsberger P., Dorffner G.: Discrimination of EEG Spectral Parameters Derived During Spatial Imagination Tests with Kohonen Networks (abstract), European Journal of Neuroscience, 1994.

Linhart G., Dorffner G.: VieNet2 - Vienna Neural Network Toolkit 2: Ein Simulationstool fuer Neuronale Netzwerke in C, Version 2.0, Anwender-Handbuch, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1994.

Porenta G., Dorffner G., Kundrat S., Petta P., Duit J., Sochor H.: Automated Interpretation of Planar Thallium-201 Dipyridamole Stress-Redistribution Scintigrams using Artificial Neural Networks, Journal of Nuclear Medicine, 35(12)2041-2047, 1994.

Dorffner G.: Review on: Neural Networks for Vision, Speech and Natural Language, Connection Science, 1993.

Dorffner G.: Neuronale Netzwerke fuer Diagnose und Monitoring, OCG-Kommunikativ, 1993.

Dorffner G.: Neural Networks for EEG Classification: An Introduction (abstract), Journal of Clinical Monitoring, 1993.

Dorffner G.: Connectionism and Syntactic Binding of Concepts, Behavioral and Brain Sciences, 16(3)456-457, 1993.

Dorffner G.: How Connectionism Can Change AI and the Way We Think about Ourselves, in Trappl R., Artificial Intelligence: Future, Impacts, Challenges, Applied Artificial Intelligence,, 59-85, 1993.

Dorffner G.: Neural Networks for EEG Classification: An Introduction, in Loeffler W.H., et al.(eds.), ZNS-Monitoring, Verlag Wilhelm Maudrich, Wien-Muenchen-Bern, pp.319-324, 1993.

Dorffner G., Prem E.: Connectionism, Symbol Grounding, and Autonomous Agents, Proc. of 15th Annual Conference of the Cognitive Science Society, Boulder, CO, June, Lawrence Erlbaum Associates, pp. 144-148, 1993.

Dorffner G., Prem E., Mackinger M., Kundrat S., Petta P., Porenta G., Sochor H.: Experiences with Neural Networks as a Diagnostic Tool in Medical Image Processing, in Michaelis J., et al.(eds.), Europaeische Perspektiven der Medizinischen Informatik, Biometrie und Epidemologie, MMV, Muenchen, 1993.
http://www.ofai.at/cgi-bin/tr-online?number+93-12

Dorffner G., Prem E., Trost H.: Words, Symbols, and Symbol Grounding, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, TR- 93-30, 1993.
http://www.ofai.at/cgi-bin/tr-online?number+93-30

Dorffner G., Rappelsberger P., Flexer A.: Using Selforganizing Feature Maps to Classify EEG Coherence Maps, in Kappen B. and Gielen S.(eds.), ICANN 93, Springer, Berlin/Heidelberg/New York/Tokyo, pp.882-887, 1993.

Dorffner G., Schoenauer T.: Unsupervised Learning of Simple Speech Production Based of Soft Competitive Learning, in Eeckman F.H. and Bower J.M.(eds.), Computation and Neural Systems, Kluwer, Dordrecht/Boston/London, pp.363-368, 1993.
http://www.ofai.at/cgi-bin/tr-online?number+93-11

Linhart G., Dorffner G.: VieNet2 - Ein Simulationstool fuer Neuronale Netzwerke, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1993.

Prem E., Dorffner G.: Effektive Nutzung von a priori Wissen fuer neuronale Netze - Europaeische Forschung im Rahmen von ESPRIT-II, Informations- und Kommunikationstechnologie fuer das neue Europa (Wiener IT-Kongress), ADV, Wien, 1993.

Prem E., Mackinger M., Dorffner G., Porenta G., Sochor H.: Concept Support as a Method for Programming Neural Networks with Symbolic Knowledge, in Ohlbach H.J.(ed.), GWAI-92: Advances in Artificial Intelligence, Springer, Berlin/Heidelberg/New York/Tokyo, 1993.
http://www.ofai.at/cgi-bin/tr-online?number+92-04

Rappelsberger P., Dorffner G., Flexer A.: Classification of EEG Coherence Maps of Cognitive Processes (Abstract), Journal of Clinical Monitoring, 1993.

Rappelsberger P., Dorffner G., Flexer A.: Classification of EEG Coherence Maps of Cognitive Processes, in Loeffler W.H., et al.(eds.), ZNS-Monitoring, Verlag Wilhelm Maudrich, Wien-Muenchen-Bern, pp.375-388, 1993.

Rappelsberger P., Dorffner G., Flexer A.: Kuenstliche Neuronale Netzwerke zur Klassifikation von EEG-Kohaerenz Maps: Beispiele aus psychophysiologischen Studien, Biomed. Technik, Band 38, Ergaenzungsband, 1993.

Dorffner G.: Taxonomies and Part-Whole Hierarchies in the Acquisition of Word Meaning - A Connectionist Model, in Proceedings of the 14th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, New Haven/Hillsdale/Hove, pp.803-808, 1992.
http://www.ofai.at/cgi-bin/tr-online?number+92-38

Dorffner G.: A Step Toward Sub-Symbolic Language Models without Linguistic Representations, in Reilly R. and Sharkey N.(eds.), Connectionist Approaches to Natural Language Processing, Vol.1, Lawrence Erlbaum, New Haven/Hillsdale/Hove, 1992.

Dorffner G.: An Introduction to Neurocomputing and its Possible Role in AI, in Marik V., et al.(eds.), Advanced Topics in Artificial Intelligence, Springer, Berlin/Heidelberg/New York/Tokyo, pp.440-464, 1992.

Dorffner G.: On Redefining Symbols and Reuniting Connectionism with Cognitively Plausible Symbol Manipulations, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1992.

Dorffner G.: "Winner-Take-More" - A Mechanism for Soft Competitive Learning, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1992.
http://www.ofai.at/cgi-bin/tr-online?number+92-12

Dorffner G.: EuclidNet - A Multilayer Neural Network using the Euclidian Distance as Propagation Rule, in Aleksander I. and Taylor J.(eds.), Artificial Neural Networks, 2, North-Holland, Amsterdam/New York, pp.1633-1636, 1992.

Dorffner G., Rotter M.: On the Virtues of Functional Connectionist Compositionality, in Neumann B.(ed.), Proc. of 10th European Conference on Artificial Intelligence (ECAI92), Wiley, Chichester/London/New York, pp.203-205, 1992.

Dorffner G., Wiklicky H.: Reanalyzing Similarity Measures in Neural Networks and Their Practical Consequences, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1992.
http://www.ofai.at/cgi-bin/tr-online?number+92-15

Linhart G., Dorffner G.: A Self-Learning Visual Pattern Explorer and Recognizer using a Higher Order Neural Network, in IJCNN International Joint Conference on Neural Networks, Baltimore, IEEE, pp.705-710, 1992.
http://www.ofai.at/cgi-bin/tr-online?number+92-14

Ulbricht C., Dorffner G., Canu S., Guillemyn D., Marijuan G., Olarte J., Rodriguez C., Martin I.: Mechanisms for Handling Sequences with Neural Networks, in Dagli C.H., et al.(eds.), Intelligent Engineering Systems through Artificial Neural Networks, Volume 2, ASME Press, New York, 1992.
http://www.ofai.at/cgi-bin/tr-online?number+92-29

Dorffner G.: Konnektionismus, Teubner, Stuttgart, 1991.

Dorffner G.: "Radical" Connectionism for Natural Language Processing, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1991.
http://www.ofai.at/cgi-bin/tr-online?number+91-07

Dorffner G., Prem E., Ulbricht C., Wiklicky H.: Theory and Practice of Neural Networks, in Brauer W. and Hernandez D.(eds.), Verteilte Kuenstliche Intelligenz und kooperatives Arbeiten, Springer, Berlin/Heidelberg/New York/Tokyo, 1991.

Dorffner G. (ed.): Konnektionismus in Artificial Intelligence und Kognitionsforschung, Springer, Berlin/Heidelberg/New York/Tokyo, 1990.

Dorffner G.: A Radical View on Connectionist Language Modeling, in Dorffner G.(ed.), Konnektionismus in Artificial Intelligence und Kognitionsforschung, Springer, Berlin/Heidelberg/New York/Tokyo, pp.217-220, 1990.

Dorffner G., Buchberger E., Kommenda M.: Integrating Stress and Intonation into a Concept-to-Speech System, in Karlgren H.(ed.), Proceedings of the 13th International Conference on Computational Linguistics, University of Helsinki, Finland, pp.89-94, 1990.

Mannes C., Dorffner G.: Self-Organizing Detectors of Spatiotemporal Patterns, in Kindermann J. and Linden A.(eds.), Distributed Adaptive Neural Information Processing, Oldenbourg, Muenchen/Wien, pp. 89-102, 1990.

Mannes C., Dorffner G.: On Learning Content-Blind Rules, in Trappl R.(ed.), Cybernetics and Systems '90, World Scientific Publishing, Singapore/London, pp.1009-1016, 1990.

Rotter M., Dorffner G.: Struktur und Konzeptrelationen in verteilten Netzwerken, in Dorffner G.(ed.), Konnektionismus in Artificial Intelligence und Kognitionsforschung, Springer, Berlin/Heidelberg/New York/Tokyo, pp.85-94, 1990.

Dorffner G.: Toward Sub-Symbolic Models of Language Understanding (abstract), in Pfeifer R., et al.(eds.), Connectionism in Perspective, North-Holland, Amsterdam/New York, 1989.

Dorffner G.: Konnektionismus in der AI, in Retti J. and Leidlmair K.(eds.), 5.Oesterreichische Artificial-Intelligence-Tagung, Springer, Berlin/Heidelberg/New York/Tokyo, pp.212-217, 1989.

Dorffner G.: Cascaded Associative Networks for Complex Learning Tasks, in Personnaz L. and Dreyfus G.(eds.), Neural Networks from Models to Applications, I.D.S.E.T. Paris, 1989.

Dorffner G.: A Sub-Symbolic Connectionist Model of Basic Language Functions, Department of Computer Science, Indiana University, Bloomington, IN, 1989.

Dorffner G.: Replacing Symbolic Rule Systems with PDP Networks, NETZSPRECH: A German Example, Applied Artificial Intelligence, 3(1)45-67, 1989.

Peschl M., Dorffner G.: A Research Simulation Tool for Connectionist Networks, in Plander I.(ed.), Artificial Intelligence and Information-Control Systems of Robots 89, North-Holland, Amsterdam/New York, 1989.

Trost H., Buchberger E., Dorffner G.: An Expert Advising System with Acoustic Output, SIGART Newsletter, 109,33-35, 1989.

Dorffner G.: VIE-NET - Ein Software Tool zur Simulation von lernenden neuralen Netzwerken auf einer Lisp Maschine, Institut fuer Med.Kybernetik u. AI, Universitaet Wien, 1988.

Dorffner G. (ed.): Konnektionismus und Neurale Netzwerke, Institut fuer Med.Kybernetik u. AI, Universitaet Wien, 1988.

Dorffner G.: Ein Oberflaechengenerator zur Erzeugung geschriebener und gesprochener Sprache, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1988.

Dorffner G.: Artificial Intelligence - Eine Industrie mit Zukunft?, Elektronikschau, 1988.

Dorffner G.: Modeling Gestalt Phenomena in a Distributed 'Rule' System, in Trappl R.(ed.), Cybernetics and Systems '88, Kluwer, Dordrecht/Boston/London, 1988.

Dorffner G.: NETZSPRECH - Another Case for Distributed 'Rule' Systems, in Bower G.(ed.), Proceedings of the 10th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, New Haven/Hillsdale/Hove, pp.573-579, 1988.

Dorffner G., Trost H., Buchberger E.: Generating Spoken Output for an Expert System Interface, OeGAI Journal, 1988.

Peschl M., Dorffner G.: VIE-NET, ein Simulations-Tool fuer Konnektionistische Netzwerke (Version 2), Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 1988.

Porenta G., Dorffner G., Schedlmayer J., Sochor H.: Parallel Distributed Processing as a Decision Support Approach in the Analysis of Thallium-201 Scintigrams, Proc. of Computers in Cardiology 1988, IEEE, Washington, DC, IEEE, 1988.

Porenta G., Dorffner G., Sochor H.: Computer Assisted Interpretation of Thallium-201 Scintigrams Using the Parallel Distributed Processing Approach, Proc. of 10th Congress of the European Society of Cardiology, Vienna, (Abstract), 1988.

Dorffner G.: Intelligente Computer?, Wiener Zeitung, 1987.

Dorffner G., Kwasny S.C., Port R.F.: Parsing Phonetic Segments into Syllables, in Buchberger E. and Retti J.(eds.), 3.Oesterreichische Artificial Intelligence-Tagung, Springer, Berlin/Heidelberg/New York/Tokyo, pp.49-63, 1987.

Tacha M., Dorffner G.: Tausende kleine Daten-Tunnel, Wiener Zeitung, 1987.

Trost H., Dorffner G.: A System for Morphological Analysis and Synthesis of German Texts, in Hainline D.(ed.), New Developments in Computer-Assisted Language Learning, Croom Helm, Beckenham/London, 1987.

Trost H., Dorffner G.: Interactive Semi-Automatic Creation of a Morphological Lexicon, in Trappl R.(ed.), Cybernetics and Systems '86, Reidel, Dordrecht/Boston, 1986.

Dorffner G.: Schreibfehlerverbesserung als Komponente eines Sprachverstehenden Systems, Institut fuer Med.Kybernetik u. AI, Universitaet Wien, 1985.

Dorffner G., Trost H.: Morphologische Analyse und intelligente Fehlerkorrektur in VIE-LANG, in Trost H. and Retti J.(eds.), Oesterreichische Artificial Intelligence-Tagung, Springer, Berlin/Heidelberg/New York/Tokyo, pp.42-55, 1985.

Dorffner G.: Eine kasusrahmengesteuerte ATN fuer deutsche Hauptsaetze, OeGAI Journal, 3(84)2-15, 1984.