• December 6, 2023: Together with principal investigator Thomas Grill, opens an external URL in a new window (University of Music and Performing Arts Vienna), Arthur Flexer has been granted a new national PEEK FWF arts-based research project: "Spirits in complexity - making kin with experimental music systems", opens an external URL in a new window

• November 22, 2023: our new article just went online:

  Sturm B.L.T, Flexer A.: A Review of Validity and its Relationship to Music Information Research, opens an external URL in a new window, in Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023.

• October 30, 2023: new paper has been published which I will present next week in Milano:

  Flexer A.: Can ChatGPT Be Useful for Distant Reading of Music Similarity?, opens an external URL in a new window, in HCMIR23: 2nd Workshop on Human-Centric Music Information Research, Milan, Italy, 2023

• July 20, 2023: acted as an examiner at the PhD defense of André Ofner, opens an external URL in a new window. André defended his thesis "Modelling Canonical Computations in Brains and Machines with the Free Energy Principles" at Otto-von-Guericke-Universität Magdeburg, AI Lab. He passed with a "Magna Cum Laude" grade. Congratulations!

• June 1, 2023: Arthur Flexer starts his new national research project on "A Music Information Retrieval Approach to Pop Music Culture" (PopMIR)

• May 2, 2023: became a member of the Programme Committee of the 2nd Workshop on Human-Centric Music Information Research, opens an external URL in a new window (HCMIR23)

• March 14, 2023: Arthur Flexer has been granted a new national FWF research project: "A music information retrieval approach to Pop music culture"

• January 5, 2023: published a new research article with Bob Sturm. We hope it provides a useful introduction to the topic of validity, and ways of thinking about validity when it comes to MIR:

  Sturm B., Flexer A.: Validity in Music Information Research Experiments, arXiv:2301.01578,, opens an external URL in a new window [cs.SD], 2023.

• October 26, 2022: published a new journal paper:

  Hoedt K., Praher V., Flexer A., Widmer G.: Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers, Neural Computing and Applications, 2022. DOI: https://doi.org/10.1007/s00521-022-07918-7, opens an external URL in a new window

• October 26, 2022: acted as president of the PhD commitee of Juan S. Gómez Cañón, opens an external URL in a new window. Juan defended his thesis "Human-centered machine learning for music emotion recognition" at UPF Barcelona. He passed with an excellent grade and we recommended him for a mention of "Cum Laude". Congratulations!

• August 26, 2022: put our accepted ISMIR 2022 paper on arxiv:

  Foscarin F., Hoedt K., Praher V., Flexer A., Widmer G.: Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier, opens an external URL in a new window, in Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022.

• June 5, 2022: Katharina Hoedt will present our accepted paper at the SMC conference, opens an external URL in a new window in Saint-Étienne, France:

  Hoedt K., Flexer A., Widmer G.: Defending a Music Recommender Against Hubness-Based Adversarial Attacks, opens an external URL in a new window, in Proceedings of the 19th Sound and Music Computing Conference, 2022.

• April 27, 2022: published an extended final report of our arts-based research project, opens an external URL in a new window:

  Flexer A., Koerdt I., Martos A., Utech S., Wahl N.: Dust and Data - Artificial Intelligence im Museum, https://archive.org/details/dad-ai-im-museum, opens an external URL in a new window, 2022.

• March 16, 2022: became member of the Programme Committee of the "25^th International Conference on Digital Audio Effects", Vienna, Austria (DAFx20in22, opens an external URL in a new window)

• December 5, 2021: Austrian newspaper “Der Standard” published an article about our research project "Dust and Data", opens an external URL in a new window (in German): "Was herauskommt, wenn künstliche Intelligenz Kunstausstellungen gestaltet", opens an external URL in a new window

• November 25, 2021: published a new journal paper:

  Flexer A., Lallai T., Rašl K.: On Evaluation of Inter- and Intra-Rater Agreement in Music Recommendation, Transactions of the International Society for Music Information Retrieval, 4(1), pp.182–194, 2021. DOI: http://doi.org/10.5334/tismir.107, opens an external URL in a new window

• November 9, 2021: published a new conference paper:

  Praher V., Prinz K., Flexer A., Widmer G.: On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples, opens an external URL in a new window, in Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR'21), 2021.

• September 14, 2021: published a new conference paper:

  Flexer A.: Computational filling of curatorial gaps in a fine arts exhibition, opens an external URL in a new window, in Proceedings of the Twelfth International Conference on Computational Creativity (ICCC '21), pp. 2-5, 2021.

• July 8, 2021: published a new journal paper:

  Prinz, K., Flexer, A. and Widmer, G., 2021. On End-to-End White-Box Adversarial Attacks in Music Information Retrieval. Transactions of the International Society for Music Information Retrieval, 4(1), pp.93–104. DOI: http://doi.org/10.5334/tismir.85, opens an external URL in a new window

• June 9, 2021: the art blogger eSeL, opens an external URL in a new window published a photo story, opens an external URL in a new window about the opening night of our DUST AND DATA project presentation

• June 8, 2021: opening of our project presentation titled „Dust and Data. Artificial Intelligence im Museum“ at the Volkskundemuseum Wien. The opening of this 3 month exhibition can be attended online at the 8th of June, 19.00 in a ZOOM lifestream (in German only). Please register at the Volkskundemuseum Wien, opens an external URL in a new window to get the link. You can also join in person from 19.30-21.00 directly at the museum, opens an external URL in a new window (Laudongasse 15–19, 1080 Vienna). 

• May 2, 2021: my talk “WOR(L)D EMBEDDING – Curating/Computing/Displaying Semantic Pathways through Belvedere’s Online Collection” at the online conference "The Art Museum in the Digital Age" of the Belvedere Research Center is now available as a video, opens an external URL in a new window.

• April 6, 2021: became member of the Programme Committee of the "22nd International Society for Music Information Retrieval Conference", opens an external URL in a new window

• March 12, 2021: our exhibition at the Volkskundemuseum Wien has been announced at their website: “DUST AND DATA, Artificial Intelligence im Museum”, opens an external URL in a new window (Mi, 09.06.2021 – So, 29.08.2021)

• March 1, 2021: our ongoing DUST AND DATA, opens an external URL in a new window cooperation with the Belvedere museum Vienna now has its own entry at their website, opens an external URL in a new window

• February 3, 2021: gave a lecture at the Austrian Research Institute for Artificial Intelligence, opens an external URL in a new window about planning the DUST AND DATA exhibition, opens an external URL in a new window

• January 29, 2021: we started planning an exhibition of all DUST AND DATA results at Volkskundemuseum Wien, opens an external URL in a new window during our one day CONCLUSIVE SPACE workshop, opens an external URL in a new window

• January 13, 2021: gave a talk at the "Art Museum in the Digital Age" conference hosted by Belvedere Wien on “WOR(L)D EMBEDDING – Curating/Computing/Displaying Semantic Pathways through Belvedere’s Online Collection”, opens an external URL in a new window

• January 6, 2021: published a video discussion on "Data, Dust, Art & Techno", opens an external URL in a new window with Sandra Manninger (SPAN, opens an external URL in a new window, Tsinghua SIGS, IAAC) and Matias del Campo (SPAN, opens an external URL in a new window, Taubman College of Architecture and Urban Planning, University of Michigan)

• December 28, 2020: new journal paper published:

  Feldbauer R., Gosch L., Lüftinger L., Hyden P., Flexer A., Rattei T.: DeepNOG: Fast and accurate protein orthologous group assignment, Bioinformatics, btaa1051, https://doi.org/10.1093/bioinformatics/btaa1051, opens an external URL in a new window

• December 20, 2020: our "Dust and Data" project is part of the new exhibition "Artificial Intelligence?", opens an external URL in a new window at the Technical Museum Vienna

• November 27, 2020: new "Dust and Data" blogpost on visual versus semantic analysis of fine art paintings, opens an external URL in a new window

• November 12, 2020: we presented intermediate results of our "Dust and Data" project at the third research day of the Academy of Fine Arts, Vienna. Find out about Dusty, our vacuum cleaning art critic robot, in the respective blog post, opens an external URL in a new window.

• November 12, 2020: our TISMIR editorial has been published:

  Flexer A., Levé F., Peeters G., Urbano J.: Introduction to the Special Collection “20th Anniversary of ISMIR”, Transactions of the International Society for Music Information Retrieval, 3(1), pp. 218–220, 2020. DOI: https://doi.org/10.5334/tismir.78, opens an external URL in a new window 

• October 14, 2020: organized a special session named "Do we really care about the validity of MIR research?" together with Bob Sturm and Julian Urbano at the 21st International Society for Music Information Retrieval Conference (ISMIR), opens an external URL in a new window

• September 26, 2020: new blog post on our vacuum cleaner robot Dusty visiting the Glyptothek, opens an external URL in a new window

• September 22, 2020: our "Dust and Data" team presented and discussed their results at the Belvedere Research Center, please see the respective blog post, opens an external URL in a new window.

• September 1, 2020: first article in the TISMIR, opens an external URL in a new window special issue on the "20th Anniversary of ISMIR", opens an external URL in a new window has been published. I am one of the guest editors of the special issue.

• August 18, 2020: published a new workshop paper:

  Prinz K., Flexer A., Widmer G.: The Impact of Label Noise on a Music Tagger, In Proceedings of the 13th International Workshop on Machine Learning and Music, opens an external URL in a new window, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, opens an external URL in a new window, 2020. see also arXiv:2008.06273 [eess.AS], opens an external URL in a new window

• August 15, 2020: Today our "Dust and Data", opens an external URL in a new window project got a (small) bit of Austrian media coverage, opens an external URL in a new window in a general article about machine curation.

• July 30, 2020: put our newest results on arXiv:

  Prinz K., Flexer A.: End-to-End Adversarial White Box Attacks on Music Instrument Classification, arXiv:2007.14714, opens an external URL in a new window [eess.AS], 2020.

• July 18, 2020: paper accepted and presented at the "Machine Learning for Media Discovery Workshop", opens an external URL in a new window at ICML 2020, opens an external URL in a new window.

  Flexer A.: Discovering X Degrees of Keyword Separation in a Fine Arts Collection, opens an external URL in a new window, in Proceedings of the 37th International Conference on Machine Learning, Machine Learning for Media Discovery Workshop, Vienna, Austria, PMLR 108, 2020.

  Workshop poster is also available., opens an external URL in a new window

• June 24, 2020: gave a lecture on discovering semantic pathways through a fine arts collection at the Austrian Research Institute for Artificial Intelligence, opens an external URL in a new window, which is documented in this "Dust and Data" blogpost, opens an external URL in a new window.

• May 24, 2020: new "Dust and Data" blogpost on "Automatic colorization of classic statues", opens an external URL in a new window

• April 30, 2020: my arts-based research project "Dust and Data", opens an external URL in a new window now has a Facebook page, opens an external URL in a new window too. Please have a look and consider subscribing to it.

• April 25, 2020: new "Dust and Data" blogpost "On a blind spot in distant reading", opens an external URL in a new window

• April 21, 2020: gave a guest lecture on "An Introduction to Artificial Intelligence" in Mark Coeckelbergh's, opens an external URL in a new window course on "Ethics of Artificial Intelligence", opens an external URL in a new window at the University of Vienna

• April 1, 2020: joined the Institute of Computational Perception, opens an external URL in a new window, JKU Linz

My Google Scholar Profile, opens an external URL in a new window

Journal Articles

 

Czedik-Eysenberg I., Wieczorek O., Flexer A., & Reuter C.: Charting the Universe of Metal Music Lyrics and Analyzing Their Relation to Perceived Audio Hardness. Transactions of the International Society for Music Information Retrieval. 2024;7(1), 129–143. DOI: https://doi.org/10.5334/tismir.182, opens an external URL in a new window

 

Hoedt K., Praher V., Flexer A., Widmer G.: Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers, Neural Computing and Applications, 35, 10011-10029, 2023. DOI: https://doi.org/10.1007/s00521-022-07918-7, opens an external URL in a new window

 

Flexer A., Lallai T., Rašl K.: On Evaluation of Inter- and Intra-Rater Agreement in Music Recommendation, Transactions of the International Society for Music Information Retrieval, 4(1), pp.182–194, 2021. DOI: http://doi.org/10.5334/tismir.107, opens an external URL in a new window

 

Prinz K., Flexer A., Widmer G.: On End-to-End White-Box Adversarial Attacks in Music Information Retrieval, Transactions of the International Society for Music Information Retrieval, 4(1), pp.93–104, 2021. DOI: http://doi.org/10.5334/tismir.85, opens an external URL in a new window

 

Feldbauer R., Gosch L., Lüftinger L., Hyden P., Flexer A., Rattei T.: DeepNOG: Fast and accurate protein orthologous group assignment, Bioinformatics, btaa1051, 2020. https://doi.org/10.1093/bioinformatics/btaa1051, opens an external URL in a new window

 

Flexer A., Levé F., Peeters G., Urbano J.: Introduction to the Special Collection “20th Anniversary of ISMIR”, Transactions of the International Society for Music Information Retrieval, 3(1), pp. 218–220, 2020. https://transactions.ismir.net/articles/10.5334/tismir.78/, opens an external URL in a new window

 

Feldbauer R., Rattei T., Flexer A.: scikit-hubness: Hubness Reduction and Approximate Neighbor Search, Journal of Open Source Software, 5(45), 1957, 2020. DOI: https://doi.org/10.21105/joss.01957, opens an external URL in a new window

 

Dörfler M., Grill T., Bammer R., Flexer A.: Basic Filters for Convolutional Neural Networks: Training or Design?, opens an external URL in a new window, Neural Computing and Applications, 32, pages 941-954, 2020. (first online: 24 September, 2018) also available as https://arxiv.org/abs/1709.02291, opens an external URL in a new window

 

Feldbauer R., Flexer A.: A comprehensive empirical comparison of hubness reduction in high-dimensional spaces, Knowlege and Information Systems, Volume 59, Issue 1, pp. 137–166, 2019. (published online 18th of May, 2018) DOI: https://doi.org/10.1007/s10115-018-1205-y, opens an external URL in a new window

 

Flexer A., Stevens J.: Mutual proximity graphs for improved reachability in music recommendation, Journal of New Music Research, Vol. 47 , No. 1, pp. 17-28, 2018 (published online 3rd of August, 2017). DOI: http://dx.doi.org/10.1080/09298215.2017.1354891, opens an external URL in a new window

 

Flexer A., Grill T.: The Problem of Limited Inter-rater Agreement in Modelling Music Similarity, Journal of New Music Research, Vol. 45, No. 3, pp. 239-251, 2016. DOI: http://dx.doi.org/10.1080/09298215.2016.1200631, opens an external URL in a new window

 

Flexer A., Schnitzer D.: Choosing l^p 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, opens an external URL in a new window

 

Schedl M., Flexer A., Urbano J.: The Neglected User in Music Information Retrieval Research, opens an external URL in a new window, Journal of Intelligent Information Systems, opens an external URL in a new window, 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, opens an external URL in a new window, Journal of Machine Learning Research, 13(Oct):2871-2902, 2012. also available as: TR-2012-15, opens an external URL in a new window.

 

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

 

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

 

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

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Flexer A., Bauer H., Pripfl J., Dorffner G.: Using ICA for removal of ocular artifacts in EEG recorded from blind subjects, opens an external URL in a new window, Neural Networks, Volume 18, Issue 7, pp. 998-1005, 2005. also available as: TR-2005-07, opens an external URL in a new window

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window

 

Flexer A.: Data mining and electroencephalography, Statistical Methods in Medical Research, 9: 395-413, 2000. also available as: TR-2000-12, opens an external URL in a new window

 

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, opens an external URL in a new window

 

 

Papers in Refereed Conference Proceedings

 

2023

 

Flexer A.: Can ChatGPT Be Useful for Distant Reading of Music Similarity?, opens an external URL in a new window, in HCMIR23: 2nd Workshop on Human-Centric Music Information Research, Milan, Italy, 2023.

 

Sturm B.L.T, Flexer A.: A Review of Validity and its Relationship to Music Information Research, opens an external URL in a new window, in Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023.

 

2022

 

Foscarin F., Hoedt K., Praher V., Flexer A., Widmer G.: Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier, opens an external URL in a new window, in Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022.

 

Hoedt K., Flexer A., Widmer G.: Defending a Music Recommender Against Hubness-Based Adversarial Attacks, opens an external URL in a new window, in Proceedings of the 19th Sound and Music Computing Conference, 2022.

 

2021

 

Flexer A.: Computational filling of curatorial gaps in a fine arts exhibition, opens an external URL in a new window, in Proceedings of the Twelfth International Conference on Computational Creativity (ICCC '21), pp. 2-5, 2021.

 

Praher V., Prinz K., Flexer A., Widmer G.: On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples, opens an external URL in a new window, in Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR'21), 2021.

 

2020

 

Flexer A.: Discovering X Degrees of Keyword Separation in a Fine Arts Collection, opens an external URL in a new window, in Proceedings of the 37th International Conference on Machine Learning, Machine Learning for Media Discovery Workshop, Vienna, Austria, PMLR 108, 2020. (Workshop poster is also available), opens an external URL in a new window

 

Prinz K., Flexer A., Widmer G.: The Impact of Label Noise on a Music Tagger, In Proceedings of the 13th International Workshop on Machine Learning and Music, opens an external URL in a new window, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, opens an external URL in a new window, 2020. see also arXiv:2008.06273 [eess.AS], opens an external URL in a new window

 

2019

 

Flexer A., Lallai T.: Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?, opens an external URL in a new window, in Proceedings of 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019. also available as: TR-2019-01, opens an external URL in a new window.

 

2018

 

Feldbauer R., Leodolter M., Plant C., Flexer A.: Fast approximate hubness reduction for large high-dimensional data, opens an external URL in a new window, Proceedings of the IEEE International Conference on Big Knowledge (ICBK), pp. 358-367, 2018. also available as: TR-2018-02, opens an external URL in a new window.

 

Flexer A., Dörfler M., Schlüter J., Grill T.: Hubness as a case of technical algorithmic bias in music recommendation, in Proceedings of 6th International Workshop on High Dimensional Data Mining (HDM), in conjunction with the IEEE International Conference on Data Mining (IEEE ICDM 2018), Singapore, 2018. also available as: TR-2018-04, opens an external URL in a new window.

 

2016

 

Feldbauer R., Flexer A.: Centering versus Scaling for Hubness Reduction, opens an external URL in a new window, in Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN'16), Part I, pp. 175-183, Springer International Publishing, 2016. also available as: TR-2016-05, opens an external URL in a new window.

 

Flexer A.: Hubness-aware outlier detection for music genre recognition, opens an external URL in a new window, in Proceedings of the 19th International Conference on Digital Audio Effects (DAFx-16), pp. 69-75, 2016. also available as: TR-2016-09, opens an external URL in a new window.

 

Flexer A.: An Empirical Analysis of Hubness in Unsupervised Distance-Based Outlier Detection, in Proceedings of 4th International Workshop on High Dimensional Data Mining (HDM), in conjunction with the IEEE International Conference on Data Mining (IEEE ICDM 2016), Barcelona, Spain, 2016. also available as: TR-2016-10, opens an external URL in a new window.

 

Flexer A., Stevens J.: Mutual proximity graphs for music recommendation, opens an external URL in a new window, Proceedings of the 9th International Workshop on Machine Learning and Music, Riva del Garda, Italy, 2016. also available as: TR-2016-06, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Gkiokas A., Lattner S., Katsouros V., Flexer A., Carayanni G.: Towards an Invertible Rhythm Representation, opens an external URL in a new window, 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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Vincent E., Gkiokas A., Schnitzer D., Flexer A.: An investigation of likelihood normalization for robust ASR, opens an external URL in a new window, 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, opens an external URL in a new window.

 

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, opens an external URL in a new window, Prague, Czech Republic, 2013. also available as: TR-2013-01, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window. 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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

2010

 

Dörfler 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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Seyerlehner K., Flexer A., Widmer G.: On the Limitations of Browsing Top-N Recommender Systems, opens an external URL in a new window, 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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Moreau A., Flexer A.: Drum transcription in polyphonic music using non-negative matrix factorisation, opens an external URL in a new window, 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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

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, opens an external URL in a new window.

 

Pampalk E., Flexer A., and Widmer G.: Improvements of Audio-Based Music Similarity and Genre Classification, opens an external URL in a new window, 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, opens an external URL in a new window, 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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

Sykacek P., Roberts S., Rezek I., Flexer A., Dorffner G.: A Probabilistic Approach to High-Resolution Sleep Analysis, opens an external URL in a new window, 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, opens an external URL in a new window

 

Koivuluoma M., Vaerri A., Flexer A.: Modelling sleep with gaussian mixture model based on eye movements and delta-activity, opens an external URL in a new window, 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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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, opens an external URL in a new window

 

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.

 

Edited Proceedings

 

Flexer A., Peeters G., Urbano J., Volk A. (eds.): Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019. ISBN 978-1-7327299-1-9

 

Short Scientific Articles, Abstracts and Reports

 

Sturm B., Flexer A.: Validity in Music Information Research Experiments, arXiv:2301.01578, opens an external URL in a new window [cs.SD], 2023.

 

Flexer A., Koerdt I., Martos A., Utech S., Wahl N.: Dust and Data - Artificial Intelligence im Museum, https://archive.org/details/dad-ai-im-museum, opens an external URL in a new window, 2022.

 

Prinz K., Flexer A.: End-to-End Adversarial White Box Attacks on Music Instrument Classification, arXiv:2007.14714, opens an external URL in a new window [eess.AS], 2020.

 

Prinz K., Flexer A.: Weak Multi-Label Audio-Tagging with Class Noise, opens an external URL in a new window, Late Breaking/Demo at the 20th International Society for Music Information Retrieval, Delft, The Netherlands, 2019.

 

Feldbauer R., Flexer A., Rattei T.: Deep learning for extremely fast protein similarity search, opens an external URL in a new window (abstract), Austrian High Performance Computing Meeting 2019, Grundlsee, Austria, 2019.

 

Flexer A., Dörfler M., Schlüter J., Grill T.: Technical algorithmic bias in a music recommender, opens an external URL in a new window (extended abstract), Late Breaking / Demos Session, 19th International Society for Music Information Retrieval Conference, 2018. also available as: TR-2018-03, opens an external URL in a new window

 

Urbano J., Flexer A.: Statistical Analysis of Results in Music Information Retrieval: Why and How, opens an external URL in a new window, Tutorial, 19th International Society for Music Information Retrieval Conference, 2018. Slides available, opens an external URL in a new window

 

Feldbauer R., Flexer A., Rattei T.: Protein vector representations for fast similarity search (abstract), German Conference on Bioinformatics, Vienna, Austria, 2018.

 

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 Schlüter, Hugues Vinet, Gerhard Widmer, Roadmap for Music Information ReSearch, opens an external URL in a new window, 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, opens an external URL in a new window, 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.

2023-2026: A Music Information Retrieval Approach to Pop Music Culture

2019-2023: On Valid and Reliable Experiments in Music Information Retrieval, opens an external URL in a new window

2019-2021: Dust and Data. The Art of Curating in the Age of Artificial Intelligence, opens an external URL in a new window (together with Niko Wahl, Irina Koerdt, Alexander Martos, Sanja Utech, Academy of Fine Arts, Vienna, Austria)

2015-2020: ProteinSpace - Evolution and Function of the Environmental Protein Sequence Universe, opens an external URL in a new window (together with Prof. Thomas Rattei, opens an external URL in a new window, CUBE, opens an external URL in a new window - Computational Systems Biology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna)

 

2015-2019: Salsa - Semantic Annotation by Learned Structured and Adaptive Signal Representations, opens an external URL in a new window (together with Monika Dörfler, opens an external URL in a new window, NuHAG, opens an external URL in a new window, University of Vienna)

 

2017-2018: aMOBY - Acoustic Monitoring of Biodiversity, opens an external URL in a new window (together with Monika Dörfler, opens an external URL in a new window, NuHAG, opens an external URL in a new window, University of Vienna)

 

2014-2018: On High Dimensional Data Analysis in Music Information Retrieval, opens an external URL in a new window

 

2012-2014: Preventing Hubness in Music Information Retrieval, opens an external URL in a new window

 

2010-2012: Audiominer - Mathematical Signal Analysis and Modeling for Manipulation of Sound Objects, opens an external URL in a new window (together with Monika Dörfler, opens an external URL in a new window, NuHAG, opens an external URL in a new window, University of Vienna)

 

2008-2010: Towards automatic annotation of electro-acoustic music, opens an external URL in a new window

 

2007-2009: Music Information Retrieval for the FM4 Soundpark, opens an external URL in a new window

Scientific Programme Chair of the "20th International Society for Music Information Retrieval Conference", Delft, The Netherlands (ISMIR 2019, opens an external URL in a new window)

 

Co-Organizer (together with Monika Dörfler, opens an external URL in a new window) of a workshop on "Systematic approaches to deep learning methods for audio", opens an external URL in a new window, 11.-15. September 2017, Erwin Schrödinger Institute, University of Vienna, Austria

 

Member of the Organizing Committee of "The International Conference on Artificial Neural Networks", Vienna, Austria (ICANN 2001)

 

Co-Organizer of the ICANN 2001 workshop on "Advances in EEG Analysis"

Member of the editorial board of the "Transactions of the International Society for Music Information Retrieval" (TISMIR, opens an external URL in a new window)

Reviewed papers for the following journals:

 

AI Communications
Applied Artificial Intelligence
Artificial Intelligence in Medicine
Artificial Intelligence Review
Computational Statistics and Data Analyis
Computer Methods and Programmes in Biomedicine
Cybernetics and Systems
Data Mining and Knowledge Discovery
Digital Signal Processing
EURASIP Journal on Audio, Speech, and Music Processing
Expert Systems with Applications
IEEE Signal Processing Letters
IEEE Trans. on Affective Computing
IEEE Trans. on Audio, Speech and Language Processing
IEEE Trans. on Biomedical Engineering
IEEE Trans. on Knowledge and Data Engineering
IEEE Trans. on Neural Networks
IEEE Trans. on Multimedia
IEEE Trans. on Systems, Man, and Cybernetics - Part B
Information Sciences
International Journal of Machine Learning and Cybernetics
Intelligent Data Analysis
Journal of Neuroscience Methods
Journal of Medical Systems
Landscape Ecology
Machine Learning
Multimedia Tools and Applications
Neural Computing & Applications
PLOS ONE
Transactions of the International Society for Music Information Retrieval

Transformations (Journal of Media, Culture & Technology)

 

Service at conferences:

 

Member of the Programme Committee of the 2nd Workshop on Human-Centric Music Information Research, opens an external URL in a new window (HCMIR23)

 

Member of the Programme Committee of the "25^th International Conference on Digital Audio Effects", Vienna, Austria (DAFx20in22, opens an external URL in a new window), also (DAFx20in21, opens an external URL in a new window)

 

Member of the Programme Committee of the "22nd International Society for Music Information Retrieval Conference" (ISMIR 2021, opens an external URL in a new window), also ISMIR 2020, opens an external URL in a new window, ISMIR 2018, opens an external URL in a new window, ISMIR 2017, opens an external URL in a new window, ISMIR 2016, opens an external URL in a new window, ISMIR 2015, opens an external URL in a new window, ISMIR 2014, opens an external URL in a new window, ISMIR 2013, opens an external URL in a new window and ISMIR 2012, opens an external URL in a new window

 

Member of the Programme Committee of the "8th ICDM Workshop on High Dimensional Data Mining", Sorrento, Italy (HDM 2020, opens an external URL in a new window), in conjunction with the IEEE International Conference on Data Mining (IEEE ICDM 2020), opens an external URL in a new window, also HDM 2019, opens an external URL in a new window

 

Member of the Programme Committee of the "12th International Workshop on Machine Learning and Music", Würzburg, Germany (MML 2019, opens an external URL in a new window), in conjunction with ECML/PKDD 2019, opens an external URL in a new window

 

Member of the programme committee of the ''International Joint Conference on Artificial Intelligence/ European Conference on Artificial Intelligence'', Stockholm, Sweden (IJCAI/ECAI 2018, opens an external URL in a new window)

 

Member of the Programme Committee of the "15th Sound and Music Computing Conference", Limassol, Cyprus (SMC 2018, opens an external URL in a new window), SMC 2017, opens an external URL in a new window, also SMC 2016, opens an external URL in a new window, SMC 2012, opens an external URL in a new window, SMC 2011, opens an external URL in a new window and SMC 2009, opens an external URL in a new window

 

Member of the Programme Committee of the "2nd International Workshop on Social Media Retrieval and Analysis", Atlantic City, New Jersey, USA (SoMeRa 2015, opens an external URL in a new window), also SoMeRa 2014, opens an external URL in a new window

 

Member of the Programme Committee of the "Fifth Biennial International Conference on Mathematics and Computation in Music", London, UK (MCM 2015, opens an external URL in a new window)

 

Member of the Programme Committee of "International Computer Music Conference", Ljubljana, Slovenia (ICMC 2012, opens an external URL in a new window)

 

Member of the Programme Committee of "4th International Workshop on Advances in Music Information Research: The Web of Music", Lyon, France (AdMIRe 2012, opens an external URL in a new window)

 

Member of the Programme Committee of "The 9th International Workshop on Content-Based Multimedia Indexing", Madrid, Spain (CBMI 2011, opens an external URL in a new window), also CBMI 2010, opens an external URL in a new window

 

Member of the Programme Committee of "The 9th International Work-Conference on Artificial Neural Networks", San Sebastian, Spain (IWANN 2007, opens an external URL in a new window)

 

Member of the Programme Committee of "The 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases", Berlin, Germany (ECML PKDD 2006, opens an external URL in a new window)

 

Member of the Programme Committee of "The First International Conference on Complex Medical Engineering", Takamatsu, Japan (CME 2005, opens an external URL in a new window)

 

Member of the Programme Committee of "The Fifth European Conference on Principles and Practice of Knowledge Discovery in Databases", Freiburg, Germany (PKDD 2001)

 

Member of the Programme Committee of "The Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases", Lyon, France (PKDD 2000, opens an external URL in a new window)

Current position, since 2020: senior researcher and project manager at the , opens an external URL in a new windowInstitute of Computational Perception, opens an external URL in a new window, Johannes Kepler University Linz, opens an external URL in a new window

 

2007-2020: senior researcher, project manager and vice-head at the Intelligent Music Processing Group, opens an external URL in a new window at the Austrian Research Institute for Artificial Intelligence (OFAI, opens an external URL in a new window)

 

2005-2007: Assistant Professor (Universitätsassistent) at the Institute of Medical Cybernetics and Artificial Intelligence, Center for Brain Research, Medical University Vienna

 

2004-2005: postdoc researcher at the Intelligent Music Processing Group, opens an external URL in a new window of the Austrian Research Institute for Artificial Intelligence (OFAI, opens an external URL in a new window)

 

2003-2004: postdoctoral fellow at the Swartz Center for Computational Neuroscience, opens an external URL in a new window (UCSD, USA). Work on "Independent Component Analysis of brain electric potentials recorded during temporally extended cognition" in collaboration with Scott Makeig, opens an external URL in a new window (supported by a Schrödinger scholarship of the FWF)

 

1993-2003: researcher at the Neural Computation group, opens an external URL in a new window of the Austrian Research Institute for Artificial Intelligence (OFAI, opens an external URL in a new window)