E. Pampalk

发表

Evaluating Rhythmic descriptors for Musical Genre Classification

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2004 .

ON THE EVALUATION OF PERCEPTUAL SIMILARITY MEASURES FOR MUSIC

G. Widmer, S. Dixon, E. Pampalk, 2003 .

Dynamic Playlist Generation Based on Skipping Behavior

Tim Pohle, Gerhard Widmer, Elias Pampalk, 2005, ISMIR.

Islands of Music Analysis, Organization, and Visualization of Music Archives

E. Pampalk, 2002 .

A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting

Masataka Goto, Elias Pampalk, Gert R. G. Lanckriet, 2007, ISMIR.

Aligned Self-Organizing Maps

E. Pampalk, 2003 .

EVALUATION OF FREQUENTLY USED AUDIO FEATURES FOR CLASSIFICATION OF MUSIC INTO PERCEPTUAL CATEGORIES

G. Widmer, E. Pampalk, Tim Pohle, 2005 .

Using PsychoAcoustic Models and SOMs to create a Hierarchical Structuring of Music Using PsychoAcoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Sound Similarity

E. Pampalk, A. Rauber, D. Merkl, 2002 .

ÖGAI Journal 24 / 1 Automatic Classification of Musical Artists based on Web-Data

Peter Knees, Gerhard Widmer, Elias Pampalk, 2005 .

HIDDEN MARKOV MODELS FOR SPECTRAL SIMILARITY OF SONGS

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005 .

From Sound to ‘ Sense ’ via Feature Extraction and Machine Learning : Deriving High-Level Descriptors for Characterising Music

G. Widmer, S. Dixon, E. Pampalk, 2005 .

Elias Pampalk, Andreas Rauber, Dieter Merkl, 2002 .

D3.4.1 Music Similarity Report

J. Bello, G. Widmer, C. Harte, 2005 .

ON THE EVALUATION OF PERCEPTUAL SIMILARITY MEASURES FOR MUSIC

G. Widmer, S. Dixon, E. Pampalk, 2003 .

Computational Models of Similarity for Drum Samples

Masataka Goto, Elias Pampalk, Perfecto Herrera, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Intelligent structuring and exploration of digital music collections

Markus Schedl, Gerhard Widmer, Elias Pampalk, 2005 .

Visualization in Audio-Based Music Information Retrieval

George Tzanetakis, Elias Pampalk, Jonathan Foote, 2006, Computer Music Journal.

Content-based organization and visualization of music archives

Elias Pampalk, Andreas Rauber, Dieter Merkl, 2002, MULTIMEDIA '02.

Novelty Detection Based on Spectral Similarity of Songs

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005, ISMIR.

NOVELTY DETECTION FOR SPECTRAL SIMILARITY OF SONGS

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005 .

In Search of the Horowitz Factor

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2003, AI Mag..

Social Tags and Music Information Retrieval

Paul Lamere, Elias Pampalk, Paul Lamere, 2008, International Society for Music Information Retrieval Conference.

Please Scroll down for Article Journal of New Music Research the Som-enhanced Jukebox: Organization and Visualization of Music Collections Based on Perceptual Models

Elias Pampalk, Andreas Rauber, Dieter Merkl, 2022 .

A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps

Gerhard Widmer, Elias Pampalk, Alvin T. S. Chan, 2004, Intell. Data Anal..

Improvements of Audio-Based Music Similarity and Genre Classificaton

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005, ISMIR.

SIMAC: semantic interaction with music audio contents

Xavier Serra, Gerhard Widmer, Òscar Celma, 2005 .

“Reinventing the Wheel”: A Novel Approach to Music Player Interfaces

Peter Knees, Tim Pohle, Markus Schedl, 2007, IEEE Transactions on Multimedia.

Tim Pohle, Gerhard Widmer, Elias Pampalk, 2005 .

Artist Classification with Web-Based Data

Peter Knees, Gerhard Widmer, Elias Pampalk, 2004, ISMIR.

From Sound to ‘ Sense ’ via Feature Extraction and Machine Learning : Deriving High-Level Descriptors for Characterising Music

G. Widmer, S. Dixon, E. Pampalk, 2005 .

EMPIRICAL EVALUATION OF CLUSTERING ALGORITHMS

Elias Pampalk, Andreas Rauber, Jan Paralic, 2000 .

Computational Models of Music Similarity and their Application in Music Information Retrieval

Elias Pampalk, E. Pampalk, 2006 .

Introduction–From Genres to Tags: A Little Epistemology of Music Information Retrieval Research

Elias Pampalk, Jean-Julien Aucouturier, E. Pampalk, 2008 .

Hierarchical Organization and Description of Music Collections at the Artist Level

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005, ECDL.

On the Benefits of Representing Music Objects as Fuzzy Sets

Etienne E. Kerre, Elias Pampalk, Klaas Bosteels, 2009, IFSA/EUSFLAT Conf..

MusicSun: A New Approach to Artist Recommendation

Masataka Goto, Elias Pampalk, E. Pampalk, 2007, ISMIR.

Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Musical Styles

E. Pampalk, A. Rauber, D. Merkl, 2002, ISMIR.

Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Sound Similarity

Elias Pampalk, Andreas Rauber, Dieter Merkl, 2002 .

Exploring Music Collections by Browsing Different Views

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2004, Computer Music Journal.

Classification of dance music by periodicity patterns

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2003, ISMIR.

Audio-Based Music Similarity and Retrieval : Combining a Spectral Similarity Model with Information Extracted from Fluctuation Patterns

Elias Pampalk, M. Alonso, Iasonas Antonopoulos, 2006 .

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

Peter Knees, Tim Pohle, Markus Schedl, 2005, ICMC.

Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps

Elias Pampalk, Andreas Rauber, Dieter Merkl, 2002, ICANN.

Visualizing changes in the structure of data for exploratory feature selection

Gerhard Widmer, Elias Pampalk, Werner Goebl, 2003, KDD '03.