Arthur Flexer


Address

Arthur Flexer
Austrian Research Institute for Artificial Intelligence
Intelligent Music Processing and Machine Learning Group
Freyung 6/6
A-1010 Vienna
Austria

Phone: (+43-1) - 5336112 - 25
Fax: (+43-1) - 5336112 - 77

@
Email: arthur.flexerofai.at


Projects


Education and CV


Professional Activities


Publications

Journal Articles

Flexer A., Grill T.: The Problem of Limited Inter-rater Agreement in Modelling Music Similarity, Journal of New Music Research, 2016 (published online on 5th of July 2016). DOI: http://dx.doi.org/10.1080/09298215.2016.1200631

Flexer A., Schnitzer D.: Choosing lp norms in high-dimensional spaces based on hub analysis, Neurocomputing, Volume 169, pp. 281-287, 2015. DOI: http://dx.doi.org/10.1016/j.neucom.2014.11.084

Schedl M., Flexer A., Urbano J.: The Neglected User in Music Information Retrieval Research, Journal of Intelligent Information Systems, December 2013, Volume 41, Issue 3, pp 523-539, 2013.

Schnitzer D., Flexer A., Schedl M., Widmer G.: Local and Global Scaling Reduce Hubs in Space, Journal of Machine Learning Research, 13(Oct):2871-2902, 2012. also available as: TR-2012-15.

Klien V., Grill T., Flexer A.: On automated annotation of acousmatic music, Journal of New Music Research, Volume 41, Issue 2, pages 153-173, 2012. also available as: TR-2011-06.

Schnitzer D., Flexer A., Widmer G.: A Fast Audio Similarity Retrieval Method for Millions of Music Tracks, Multimedia Tools and Applications, Volume 58, Number 1, 23-40, 2012 (published online on 21st of December 2010). also available as: TR-2010-13.

Flexer A., Schnitzer D.: Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases, Computer Music Journal, Volume 34, Number 3, pp. 20-28, 2010. also available as: TR-2010-01.

Flexer A., Makeig S.: Independent Component Analysis of EEG recorded during two-person game playing, Applied Artificial Intelligence, Volume 21, Issue 9, pp. 883-894, 2007. also available as: TR-2007-04.

Gouyon F., Widmer G., Serra X., Flexer A.: Acoustic Cues to Beat Induction: A Machine Learning Perspective, Music Perception, Volume 24, Issue 2, pp. 177-188, 2006. also available as TR-2006-14.

Flexer A.: Statistical Evaluation of Music Information Retrieval Experiments, Journal of New Music Research, Vol. 35, No. 2, pp. 113-120, 2006. also available as TR-2005-18.

Flexer A., Bauer H., Pripfl 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. also available as: TR-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. also available as: TR-2004-18.

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. also available as: TR-2001-35.

Flexer A.: On the Use of Self-organizing Maps for Clustering and Visualization, Intelligent Data Analysis, Vol. 5, Number 5, pp. 373-384, 2001. also available as: TR-2001-34

Flexer A.: Data mining and electroencephalography, Statistical Methods in Medical Research, 9: 395-413, 2000. also available as: TR-2000-12

Flexer A., Bauer H.: Monitoring human information processing via intelligent data analysis of EEG recordings, Intelligent Data Analysis, 4: 113-128, 2000. also available as: TR-2000-34

Papers in Refereed Conference Proceedings

2016

Feldbauer R., Flexer A.: Centering versus Scaling for Hubness Reduction, to appear in: Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN'16), Barcelona, Spain, 2016. also available as: TR-2016-05.

2015

Flexer A.: Improving visualization of high-dimensional music similarity spaces, 16th International Society for Music Information Retrieval Conference, Malaga, Spain, 2015. also available as: TR-2015-03.

Flexer A.: The impact of hubness on music recommendation, Machine Learning for Music Discovery Workshop at the 32nd International Conference on Machine Learning, Lille, France, 2015. also available as: TR-2015-02.

Gkiokas A., Lattner S., Katsouros V., Flexer A., Carayanni G.: Towards an Invertible Rhythm Representation, Proceedings of the 18th International Conference on Digital Audio Effects (DAFx-15), Trondheim, Norway, 2015.

Schnitzer D., Flexer A.: The Unbalancing Effect of Hubs on K-medoids Clustering in High-Dimensional Spaces, Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, 2015. also available as: TR-2015-01.

2014

Flexer A.: On inter-rater agreement in audio music similarity, Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR'14), Taipei, Taiwan, 2014. also available as: TR-2014-06.

Knees P., Schnitzer D., Flexer A.: Improving Neighborhood-Based Collaborative Filtering by Reducing Hubness, Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), 2014. also available as: TR-2014-02.

Schnitzer D., Flexer A.: Choosing the Metric in High-Dimensional Spaces Based on Hub Analysis, Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2014. also available as: TR-2014-03.

Schnitzer D., Flexer A., Tomasev N.: A Case for Hubness Removal in High-Dimensional Multimedia Retrieval, Proceedings of the 36th European Conference on Information Retrieval (ECIR), 2014. also available as: TR-2014-01.

Vincent E., Gkiokas A., Schnitzer D., Flexer A.: An investigation of likelihood normalization for robust ASR, Proceedings of the 15th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2014.

2013

Flexer A., Schnitzer D.: Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces?, in Proceedings of 1st International Workshop on High Dimensional Data Mining (HDM), in conjunction with the IEEE International Conference on Data Mining (IEEE ICDM 2013), Dallas, Texas, USA, 2013. also available as: TR-2013-04.

Flexer A., Schnitzer D.: Using mutual proximity for novelty detection in audio music similarity, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013. also available as: TR-2013-01.

Schnitzer D., Flexer A., Schlüter J.: The Relation of Hubs to the Doddington Zoo in Speaker Verification, in Proceedings of the 21st European Signal Processing Conference (EUSIPCO'2013), September 9-13, Marrakech, Morocco, 2013. also available as: TR-2012-17.

2012

Flexer A., Schnitzer D., Schlüter J.: A MIREX meta-analysis of hubness in audio music similarity, Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR'12), Porto, Portugal, October 8th-12th, 2012. also available as: TR-2012-06. This paper received the Best Paper Award!

Grill T., Flexer A.: Visualization of perceptual qualities in textural sounds, Proceedings of the International Computer Music Conference (ICMC 2012), Ljubljana, Slovenia, 2012. also available as: TR-2012-04.

Schedl M., Flexer A.: Putting the User in the Center of Music Information Retrieval, Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR'12), Porto, Portugal, October 8th-12th, 2012. also available as: TR-2012-10.

2011

Gasser M., Flexer A., Grill T.: On Computing Morphological Similarity of Audio Signals, in Proceedings of the 8th Sound and Music Computing Conference (SMC'11), Padova, Italy, 2011. also available as: TR-2010-14.

Grill T., Flexer A., Cunningham S.: Identification of perceptual qualities in textural sounds using the repertory grid method, in Proceedings of the 6th Audio Mostly Conference, Coimbra, Portugal, 2011. also available as: TR-2011-08.

Holzapfel A., Velasco G., Holighaus N., Doerfler M., Flexer A.: Advantages of nonstationary Gabor transforms in beat tracking, Proceedings of the First International ACM Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies (MIRUM'11), Arizona, USA, 2011. also available as: TR-2011-19.

Holzapfel A., Flexer A., Widmer G.: Improving tempo-sensitive and tempo-robust descriptors for rhythmic similarity, in Proceedings of the 8th Sound and Music Computing Conference (SMC'11), Padova, Italy, 2011. also available as: TR-2011-07.

Schnitzer D., Flexer A., Schedl M., Widmer G.: Using Mutual Proximity to Improve Content-Based Audio Similarity, in Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR'11), Miami, Florida, USA, 2011. also available as: TR-2011-14.

2010

Doerfler M., Velasco G., Flexer A., Klien V.: Sparse Regression in Time-Frequency Representations of Complex Audio, Proceedings of the 7th Sound and Music Computing Conference (SMC'10), Barcelona, Spain, 2010. also available as: TR-2010-08.

Flexer A., Gasser M., Schnitzer D.: Limitations of interactive music recommendation based on audio content, Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound, pp. 96-102, 2010. also available as: TR-2010-11.

Flexer A., Schnitzer D., Gasser M., Pohle T.: Combining features reduces hubness in audio similarity, Proceedings of the Eleventh International Society for Music Information Retrieval Conference (ISMIR'10), 2010. also available as: TR-2010-06.

Gasser M., Flexer A., Schnitzer D.: Hubs and Orphans - an Explorative Approach, Proceedings of the 7th Sound and Music Computing Conference (SMC'10), Barcelona, Spain, 2010. also available as: TR-2010-07.

Klien V., Grill T., Flexer A.: Because we are all falling down. Physics, gestures and relative realities, Proceedings of the International Computer Music Conference (ICMC'10), New York City, NY, USA, 2010. also available as: TR-2010-04.

Klien V., Grill T., Flexer A.: Towards automated annotation of acousmatic music, Proceedings of the Electronic Music Studies Network Conference 2010 (EMS'10), Shanghai, China, 2010. also available as: TR-2010-09.

Schnitzer D., Flexer A., Widmer G., Gasser M.: Islands of Gaussians: The Self Organizing Map and Gaussian Music Similarity Features , Proceedings of the Eleventh International Society for Music Information Retrieval Conference (ISMIR'10), 2010. also available as: TR-2010-10.

2009

Flexer A., Schnitzer D.: Album and Artist Effects for Audio Similarity at the Scale of the Web, in Proceedings of the 6th Sound and Music Computing Conference (SMC'09), Porto, Portugal, 2009. also available as: TR-2009-01.

Gasser M., Flexer A.: FM4 Soundpark: Audio-based Music Recommendation in Everyday Use, in Proceedings of the 6th Sound and Music Computing Conference (SMC'09), Porto, Portugal, 2009. also available as: TR-2009-02.

Schnitzer D., Flexer A., Widmer G.: A Filter-and-Refine Indexing Method for Fast Similarity Search in Millions of Music Tracks, in Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR'09), Kobe, Japan, 2009. also available as: TR-2009-03.

Seyerlehner K., Flexer A., Widmer G.: On the Limitations of Browsing Top-N Recommender Systems, in Proceedings of the 3rd ACM Conference on Recommender Systems, New York, USA, October 22-25, 2009.

2008

Flexer A., Schnitzer D., Gasser M., Widmer G.: Playlist Generation using Start and End Songs, in Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR'08), Philiadelphia, USA, 2008. also available as: TR-2008-03.

Gasser M., Flexer A., Widmer G.: Streamcatcher: Integrated visualization of music clips and online audio streams, in Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR'08), Philiadelphia, USA, 2008. also available as: TR-2008-04.

2007

Flexer A.: A closer look on artist filters for musical genre classification, in Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR'07), Vienna, Austria, 2007. also available as: TR-2007-01.

Moreau A., Flexer A.: Drum transcription in polyphonic music using non-negative matrix factorisation, in Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR'07), Vienna, Austria, 2007.

2006

Flexer A., Gouyon F., Dixon S., Widmer G.: Probabilistic Combination of Features for Music Classification, in Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR'06), Victoria, Canada, 8-12 October, 2006. also available as: TR-2006-09.

2005

Flexer A., Pampalk E., Widmer G.: Novelty detection based on spectral similarity of songs, Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15, 2005. also available as: TR-2005-09.

Flexer A., Pampalk E., Widmer G.: Hidden Markov Models for spectral similarity of songs, Proceedings of the 8th International Conference on Digital Audio Effects (DAFX'05), Madrid, Spain, September 20-22, 2005. also available as: TR-2005-08.

Pampalk E., Flexer A., and Widmer G.: Improvements of Audio-Based Music Similarity and Genre Classification, Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR'05), London, UK, September 11-15, 2005.

Pampalk E., Flexer A., and Widmer G.: Hierarchical Organization and Description of Music Collections at the Artist Level, Proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2005), Vienna, Austria, 2005.

Widmer G., Dixon S., Flexer A., Goebl W., Knees P., Madsen S.T., Pampalk E., Pohle T., Schedl M., Tobudic A.: The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, 2005. also available as: TR-2005-12

2004

Flexer A., Bauer H., Pripfl J., Dorffner G.: Using ICA for removal of ocular artifacts in EEG recorded from blind subjects, in R.Trappl (ed.): "Cybernetics and Systems 2004", Vienna, Austrian Society for Cybernetic Studies, pp. 491-496, 2004. also available as: TR-2003-06

2002

Flexer A., Gruber G., Dorffner G.: Improvements on continuous unsupervised sleep staging, in Bourlard H. et al. (eds.), Neural Networks for Signal Processing XII, Proceedings of NNSP 2002, Institute of Electrical and Electronics Engineers, Inc., New York, NY, pp. 687-695, 2002. also available as: TR-2002-24

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, LNCS 2415, pp. 1013-1018, 2002. also available as: TR-2002-03

2001

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. also available as: TR-2001-10

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. also available as: TR-2001-05

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.

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, IJCNN 2000, Como, Italy, Vol. III, 627-631, 2000. also available as: TR-99-21

Koivuluoma M., Vaerri A., Flexer A.: Modelling sleep with gaussian mixture model based on eye movements and delta-activity, in Gabbouj M. & Kuosmanen P. (eds). Signal Processing X Theories and Applications, Proceedings of EUSIPCO 2000, tenth European Signal Processing Conference, Tampere, Finland, pp. 35-38, 2000.

1999

Flexer A.: On the use of self-organizing maps for clustering and visualization, in Zytkow J.M. and Rauch J.(eds.), Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD'99, Prague, Czech Republic, Proceedings, Lecture Notes in Artificial Intelligence 1704, Springer, p.80-88, 1999. also available as: TR-99-04

Flexer A., Bauer H.: Monitoring human information processing via intelligent data analysis of EEG recordings, in Hand D.J., et al.(eds.), Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, Proceedings, Lecture Notes in Computer Science 1642, Springer, p.137-148, 1999. also available as: TR-99-03

Flexer A., Bauer H.: Multi-channel piecewise selective averaging of cognitive evoked potentials with variable latency, in Hu Y.-H., et al.(eds.), Neural Networks for Signal Processing IX, Institute of Electrical and Electronics Engineers, Inc., New York, NY, p.459-467, 1999. also available as: TR-99-02

1998

Flexer A., Bauer H.: Discovery of Common Subsequences in Cognitive Evoked Potentials, in Zytkow J.M. and Quafafou M.(eds.), Principles of Data Mining and Knowledge Discovery, Proc. of 2nd European Symposium, PKDD '98, Lecture Notes in Artificial Intelligence 1510, Springer, p.309-317, 1998. also available as: TR-98-07

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, 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, 1998.

1997

Flexer A.: Limitations of Self-Organizing Maps for Vector Quantization and Multidimensional Scaling, in Mozer M.C., et al.(eds.), Advances in Neural Information Processing Systems 9 (NIPS'97), MIT Press/Bradford Books, Cambridge/London, pp.445-451, 1997. also available as: TR-96-23

1996

Flexer A.: Statistical Evaluation of Neural Network Experiments: Minimum Requirements and Current Practice, in Trappl R.(ed.), Cybernetics and Systems '96, Oesterreichische Studiengesellschaft fuer Kybernetik, Wien, 2 vols., pp.1005-1008, 1996. also available as: TR-95-16

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, 2 vols., pp.592-596, 1996.

1995

Flexer A.: Connectionists and Statisticians, Friends or Foes?, in Mira J. and Sandoval F.(eds.), From Natural to Artificial Neural Computation, Proc. of International Workshop on Artificial Neural Networks, Malaga-Torremolinos, Spain, Springer, LNCS 930, pp. 454-461, 1995. also available as: TR-95-06

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.

1993

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.

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.

Theses

Flexer A.: Spatio-temporal Clustering of Cognitive Evoked Potentials, PhD Thesis, Institute of Psychology, University of Vienna, 1999.

Flexer A.: Die Kategorisierung von EEG-Kohaerenzmaps mit Kohonennetzwerken, Master's Thesis, Institute of Psychology, University of Vienna, 1994. In German.

Short Scientific Articles, Abstracts and Reports

Xavier Serra, Michela Magas, Emmanouil Benetos, Magdalena Chudy, Simon Dixon, Arthur Flexer, Emilia Gomez, Fabien Gouyon, Perfecto Herrera, Sergi Jorda, Oscar Paytuvi, Geoffroy Peeters, Jan Schlueter, Hugues Vinet, Gerhard Widmer, Roadmap for Music Information ReSearch, Geoffroy Peeters (editor), 2013, Creative Commons BY-NC-ND 3.0 license, ISBN: 978-2-9540351-1-6.

Flexer A., Makeig S.: Correlation of Subjective Expectation and P300 Amplitude during a Game of Matching Pennies, Technical Report, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, TR-2004-19, 2004.

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.

Flexer A.: Spatio-temporal Clustering of Cognitive Evoked Potentials, OeGAI Journal, 18(3)25-30, 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, Medical and Biological Engineering and Computing, Supplement 2, Proceedings of EMBEC'99, p.1658-1659, 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.

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, Vol. 34, Suppl. 1, Part 2: Proceedings of the 1st Int. Conf. on Bioelectromagnetism, pp.237-238, 1996.

Bauer H., Flexer A., Guttmann G., Leodolter M., Leodolter U., Vitouch O.: Categorization of Topographical Patterns of Spontaneous Cortical Slow Potential Shifts (sSPSs) (abstract), Brain Topography, 1994.

Flexer A.: Die Kategorisierung von EEG-Kohaerenzmaps mit Kohonennetzwerken, OeGAI Journal, 13(2)9-12, 1994.

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.

Rappelsberger P., Dorffner G., Flexer A.: Classification of EEG Coherence Maps of Cognitive Processes (Abstract), Journal of Clinical Monitoring, 2(9)139-140, 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. In German.


Offenlegung nach Par.25 Mediengesetz:

Medieninhaber / f\FCr den Inhalt dieser Seite verantwortlich: Arthur Flexer, Wien