Sound Re-synthesis from rhythm Pattern Features - audible insight into a Music Feature Extraction Process. - Thomas Lidy; Georg Pölzlbauer; Andreas Rauber (ICMC, 2005)

Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification. - Thomas Lidy; Andreas Rauber (ISMIR, 2005)

Testing supervised classifiers based on non-negative matrix factorization to musical instrument classification. - Emmanouil Benetos; Constantine Kotropoulos; Thomas Lidy; Andreas Rauber (EUSIPCO, 2006)

Visually Profiling Radio Stations. - Thomas Lidy; Andreas Rauber (ISMIR, 2006)

The Map of Mozart. - Rudolf Mayer; Thomas Lidy; Andreas Rauber (ISMIR, 2006)

Shaping 3D multimedia environments: the MediaSquare. - Michael Dittenbach; Helmut Berger; Ronald Genswaider; Andreas Pesenhofer; Andreas Rauber; Thomas Lidy; Dieter Merkl (CIVR, 2007)

DelosDLMS - The Integrated DELOS Digital Library Management System. - Maristella Agosti; Stefano Berretti; Gert Brettlecker; Alberto Del Bimbo; Nicola Ferro 001; Norbert Fuhr; Daniel A. Keim; Claus-Peter Klas; Thomas Lidy; Diego Milano; Moira C. Norrie; Paola Ranaldi; et al. (DELOS, 2007)

Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription Systems. - Thomas Lidy; Andreas Rauber; Antonio Pertusa; José Manuel Iñesta Quereda (ISMIR, 2007)

Map-based music interfaces for mobile devices. - Jakob Frank; Thomas Lidy; Peter Hlavac; Andreas Rauber (ACM Multimedia, 2008)

Ambient music experience in real and virtual worlds using audio similarity. - Jakob Frank; Thomas Lidy; Ewald Peiszer; Ronald Genswaider; Andreas Rauber (SAME, 2008)

Decision Manifolds - A Supervised Learning Algorithm Based on Self-Organization. - Georg Pölzlbauer; Thomas Lidy; Andreas Rauber (IEEE Trans. Neural Networks, 2008)

Classification and Clustering of Music for Novel Music Access Applications. - Thomas Lidy; Andreas Rauber (Machine Learning Techniques for Multimedia, 2008)

Creating ambient music spaces in real and virtual worlds. - Jakob Frank; Thomas Lidy; Ewald Peiszer; Ronald Genswaider; Andreas Rauber (Multim. Tools Appl., 2009)

Music Information Retrieval. - Thomas Lidy; Andreas Rauber (Handbook of Research on Digital Libraries, 2009)

A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization. - Thomas Lidy; Rudolf Mayer; Andreas Rauber; Pedro J. Ponce de León; Antonio Pertusa; José Manuel Iñesta Quereda (ISMIR, 2010)

On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections. - Thomas Lidy; Carlos Nascimento Silla Jr.; Olmo Cornelis; Fabien Gouyon; Andreas Rauber; Celso A. A. Kaestner; Alessandro L. Koerich (Signal Process., 2010)

Music Information Technology and Professional Stakeholder Audiences: Mind the Adoption Gap. - Cynthia C. S. Liem; Andreas Rauber; Thomas Lidy; Richard Lewis 001; Christopher Raphael; Joshua D. Reiss; Tim Crawford; Alan Hanjalic (Multimodal Music Processing, 2012)

Media Search Cluster White Paper on "Search Computing". - Yiannis Kompatsiaris; Spiros Nikolopoulos; Thomas Lidy; Andreas Rauber (ERCIM News, 2012)

MusicBricks: Connecting Digital Creators to the Internet of Music Things. - Thomas Lidy; Alexander Schindler; Michela Magas (ERCIM News, 2015)

Experimenting with musically motivated convolutional neural networks. - Jordi Pons; Thomas Lidy; Xavier Serra (CBMI, 2016)

CQT-based Convolutional Neural Networks for Audio Scene Classification. - Thomas Lidy; Alexander Schindler (DCASE, 2016)

Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification. - Alexander Schindler; Thomas Lidy; Andreas Rauber (FMT, 2016)

A Multi-modal Deep Neural Network approach to Bird-song Identication. - Botond Fazekas; Alexander Schindler; Thomas Lidy (CLEF (Working Notes), 2017)

Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. - Alexander Schindler; Thomas Lidy; Andreas Rauber (DCASE, 2017)

Fashion and Apparel Classification using Convolutional Neural Networks. - Alexander Schindler; Thomas Lidy; Stephan Karner; Matthias Hecker (Forum Media Technology, 2017)

A Multi-modal Deep Neural Network approach to Bird-song identification. - Botond Fazekas; Alexander Schindler; Thomas Lidy; Andreas Rauber (CoRR, 2018)

Deep Learning for MIR Tutorial. - Alexander Schindler; Thomas Lidy; Sebastian Böck (CoRR, 2020)

Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. - Pablo Alonso-Jiménez; Xavier Favory; Hadrien Foroughmand; Grigoris Bourdalas; Xavier Serra; Thomas Lidy; Dmitry Bogdanov (ICASSP, 2023)