Arthur Flexer

CoRR, 2022

Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

On End-to-End White-Box Adversarial Attacks in Music Information Retrieval.

[BibT_eX]

[DOI]

Katharina Prinz

Trans. Int. Soc. Music. Inf. Retr., 2021

On Evaluation of Inter- and Intra-Rater Agreement in Music Recommendation.

[BibT_eX]

[DOI]

Taric Lallai

Katja Rasl

Trans. Int. Soc. Music. Inf. Retr., 2021

DeepNOG: fast and accurate protein orthologous group assignment.

[BibT_eX]

[DOI]

Bioinform., 2021

On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Computational Filling of Curatorial Gaps in a Fine Arts Exhibition.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

2020

Introduction to the Special Collection "20th Anniversary of ISMIR".

[BibT_eX]

[DOI]

Trans. Int. Soc. Music. Inf. Retr., 2020

Basic filters for convolutional neural networks applied to music: Training or design?

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

scikit-hubness: Hubness Reduction and Approximate Neighbor Search.

[BibT_eX]

[DOI]

Roman Feldbauer

Thomas Rattei

J. Open Source Softw., 2020

The Impact of Label Noise on a Music Tagger.

[BibT_eX]

[DOI]

Katharina Prinz

CoRR, 2020

End-to-End Adversarial White Box Attacks on Music Instrument Classification.

[BibT_eX]

[DOI]

Katharina Prinz

CoRR, 2020

2019

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces.

[BibT_eX]

[DOI]

Roman Feldbauer

Knowl. Inf. Syst., 2019

Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?.

[BibT_eX]

[DOI]

Taric Lallai

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

Hubness as a Case of Technical Algorithmic Bias in Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Fast Approximate Hubness Reduction for Large High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Basic Filters for Convolutional Neural Networks: Training or Design?

[BibT_eX]

[DOI]

CoRR, 2017

2016

An Empirical Analysis of Hubness in Unsupervised Distance-Based Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Centering Versus Scaling for Hubness Reduction.

[BibT_eX]

[DOI]

Roman Feldbauer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Choosing ℓ<sup>p</sup> norms in high-dimensional spaces based on hub analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Improving Visualization of High-Dimensional Music Similarity Spaces.

[BibT_eX]

[DOI]

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

The unbalancing effect of hubs on K-medoids clustering in high-dimensional spaces.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Improving Neighborhood-Based Collaborative Filtering by Reducing Hubness.

[BibT_eX]

[DOI]

Peter Knees

Proceedings of the International Conference on Multimedia Retrieval, 2014

On Inter-rater Agreement in Audio Music Similarity.

[BibT_eX]

[DOI]

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

An investigation of likelihood normalization for robust ASR.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Choosing the Metric in High-Dimensional Spaces Based on Hub Analysis.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

A Case for Hubness Removal in High-Dimensional Multimedia Retrieval.

[BibT_eX]

[DOI]

Nenad Tomasev

Proceedings of the Advances in Information Retrieval, 2014

2013

The neglected user in music information retrieval research.

[BibT_eX]

[DOI]

Markus Schedl

Julián Urbano

J. Intell. Inf. Syst., 2013

Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces?

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

The relation of hubs to the Doddington zoo in speaker verification.

[BibT_eX]

[DOI]

Jan Schlueter

Proceedings of the 21st European Signal Processing Conference, 2013

2012

A fast audio similarity retrieval method for millions of music tracks.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2012

Local and global scaling reduce hubs in space.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Putting the User in the Center of Music Information Retrieval.

[BibT_eX]

[DOI]

Markus Schedl

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

A MIREX Meta-analysis of Hubness in Audio Music Similarity.

[BibT_eX]

[DOI]

Jan Schlueter

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Visualization of perceptual qualities in Textural sounds.

[BibT_eX]

[DOI]

Thomas Grill

Proceedings of the Non-Cochlear Sound: Proceedings of the 38th International Computer Music Conference, 2012

2011

Advantages of nonstationary gabor transforms in beat tacking.

[BibT_eX]

[DOI]

Andre Holzapfel

Gino Angelo M. Velasco

Nicki Holighaus

Monika Dörfler

Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28, 2011

Using Mutual Proximity to Improve Content-Based Audio Similarity.

[BibT_eX]

[DOI]

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Identification of perceptual qualities in textural sounds using the repertory grid method.

[BibT_eX]

[DOI]

Thomas Grill

Stuart Cunningham

Proceedings of the AM '11, 2011

2010

Effects of Album and Artist Filters in Audio Similarity Computed for Very Large Music Databases.

[BibT_eX]

[DOI]

Comput. Music. J., 2010

Islands of Gaussians: The Self Organizing Map and Gaussian Music Similarity Features.

[BibT_eX]

[DOI]

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Combining Features Reduces Hubness in Audio Similarity.

[BibT_eX]

[DOI]

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Limitations of interactive music recommendation based on audio content.

[BibT_eX]

[DOI]

Martin Gasser

Proceedings of the AM '10, 2010

2009

On the limitations of browsing top-N recommender systems.

[BibT_eX]

[DOI]

Klaus Seyerlehner

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

A Filter-and-Refine Indexing Method for Fast Similarity Search in Millions of Music Tracks.

[BibT_eX]

[DOI]

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2008

Streamcatcher: Integrated Visualization of Music Clips and Online Audio Streams.

[BibT_eX]

[DOI]

Martin Gasser

Proceedings of the ISMIR 2008, 2008

Playlist Generation using Start and End Songs.

[BibT_eX]

[DOI]

Proceedings of the ISMIR 2008, 2008

2007

Independent Component Analysis of EEG Recorded During Two-Person Game Playing.

[BibT_eX]

[DOI]

Scott Makeig

Appl. Artif. Intell., 2007

Drum Transcription in Polyphonic Music Using Non-Negative Matrix Factorisation.

[BibT_eX]

[DOI]

Arnaud Moreau

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

A Closer Look on Artist Filters for Musical Genre Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

2006

Probabilistic Combination of Features for Music Classification.

[BibT_eX]

Proceedings of the ISMIR 2006, 2006

2005

Using ICA for removal of ocular artifacts in EEG recorded from blind subjects.

[BibT_eX]

[DOI]

Neural Networks, 2005

A reliable probabilistic sleep stager based on a single EEG signal.

[BibT_eX]

[DOI]

Georg Gruber

Georg Dorffner

Artif. Intell. Medicine, 2005

Improvements of Audio-Based Music Similarity and Genre Classificaton.

[BibT_eX]

[DOI]

Elias Pampalk

Proceedings of the ISMIR 2005, 2005

Novelty Detection Based on Spectral Similarity of Songs.

[BibT_eX]

[DOI]

Elias Pampalk

Proceedings of the ISMIR 2005, 2005

The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (öFAI), Vienna.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Computer Music Conference, 2005

Hierarchical Organization and Description of Music Collections at the Artist Level.

[BibT_eX]

[DOI]

Elias Pampalk

Proceedings of the Research and Advanced Technology for Digital Libraries, 2005

2002

An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2002

Improvements on continuous unsupervised sleep staging.

[BibT_eX]

[DOI]

Georg Gruber

Georg Dorffner

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Continuous Unsupervised Sleep Staging Based on a Single EEG Signal.

[BibT_eX]

[DOI]

Georg Gruber

Georg Dorffner

Proceedings of the Artificial Neural Networks, 2002

2001

On the use of self-organizing maps for clustering and visualization.

[BibT_eX]

[DOI]

Intell. Data Anal., 2001

A Probabilistic Approach to High-Resolution Sleep Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

2000

Monitoring human information processing via intelligent data analysis of EEG recordings.

[BibT_eX]

[DOI]

Herbert Bauer

Intell. Data Anal., 2000

Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Modelling sleep with Gaussian mixture model based on eye movements and delta-activity.

[BibT_eX]

[DOI]

Mikko Koivuluoma

Alpo Värri

Proceedings of the 10th European Signal Processing Conference, 2000

1998

Discovery of Common Subsequences in Cognitive Evoked Potentials.

[BibT_eX]

[DOI]

Herbert Bauer

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1996

Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Connectionists and Statisticans, Friends or Foes?

[BibT_eX]

[DOI]