Peter Knees

发表

FRAME LEVEL AUDIO SIMILARITY - A CODEBOOK APPROACH

Klaus Seyerlehner, G. Widmer, J. Kepler, 2008 .

A Deeper Look into Web-based Classification of Music Artists

Peter Knees, Tim Pohle, M. Schedl, 2008 .

Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP)

Peter Knees, Marko Tkalcic, Alan Said, 2016 .

What's Hot? Estimating Country-specific Artist Popularity

Peter Knees, Tim Pohle, Markus Schedl, 2010, ISMIR.

Context-based Music Similarity Estimation

Peter Knees, M. Schedl, R. Shankar, 2009 .

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

Peter Knees, Gerhard Widmer, Elias Pampalk, 2005 .

A HIGH-LEVEL AUDIO FEATURE FOR MUSIC RETRIEVAL AND SORTING

Peter Knees, Tim Pohle, Gerhard Widmer, 2010 .

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

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

Sound/tracks: real-time synaesthetic sonification of train journeys

Peter Knees, Tim Pohle, Gerhard Widmer, 2008, ACM Multimedia.

Exploring Music Collections in Virtual

Peter Knees, Tim Pohle, Markus Schedl, 2007 .

Enabling FAIR use of Ethnomusicology Data – Through Distributed Repositories, Linked Data and Music Information Retrieval

A. Rauber, Peter Knees, A. Hofmann, 2021, Empirical Musicology Review.

Scaling Up Broken Systems? Considerations from the Area of Music Streaming

Peter Knees, 2021, Perspectives on Digital Humanism.

A music information system automatically generated via Web content mining techniques

Peter Knees, Tim Pohle, Markus Schedl, 2011, Inf. Process. Manag..

Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies

Peter Knees, Markus Schedl, Gerhard Widmer, 2007, 2006 1st International Conference on Digital Information Management.

Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other

Matthew E. P. Davies, Peter Knees, Sebastian Böck, 2019, ISMIR.

Predicting MPI Collective Communication Performance Using Machine Learning

Sascha Hunold, George Bosilca, Abhinav Bhatele, 2020, 2020 IEEE International Conference on Cluster Computing (CLUSTER).

Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections

Peter Knees, Sebastian Böck, Perfecto Herrera, 2015, ISMIR.

Personalization in Multimodal Music Retrieval

Peter Knees, Markus Schedl, Peter Knees, 2011, Adaptive Multimedia Retrieval.

Text-based description of music for indexing, retrieval, and browsing

Peter Knees, Peter Knees, 2011, ACMMR.

One-touch access to music on mobile devices

Peter Knees, Tim Pohle, Gerhard Widmer, 2007, MUM.

An intelligent drum machine for electronic dance music production and performance

Peter Knees, Richard Vogl, Peter Knees, 2017, NIME.

Multi-Task Music Representation Learning from Multi-Label Embeddings

Peter Knees, Alexander Schindler, Peter Knees, 2019, 2019 International Conference on Content-Based Multimedia Indexing (CBMI).

Predicting user demographics from music listening information

Peter Knees, Markus Schedl, Rick Rabiser, 2019, Multimedia Tools and Applications.

Music Recommender Systems

Peter Knees, Markus Schedl, Dmitry Bogdanov, 2015, Recommender Systems Handbook.

SoMeRA 2014: social media retrieval and analysis workshop

Peter Knees, Markus Schedl, Jialie Shen, 2014, SIGIR.

Browsing the Web Using Stacked Three-Dimensional Sunbursts to Visualize Term Co-Occurrences and Multimedia Content

Peter Knees, Tim Pohle, Markus Schedl, 2007 .

Building Physical Props for Imagining Future Recommender Systems

Peter Knees, Kristina Andersen, Peter Knees, 2017, HUMANIZE@IUI.

The Dial: Exploring Computational Strangeness

Peter Knees, Kristina Andersen, Peter Knees, 2016, CHI Extended Abstracts.

Combining audio-based similarity with web-based data to accelerate automatic music playlist generation

Peter Knees, Tim Pohle, Markus Schedl, 2006, MIR '06.

Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact

Peter Knees, Andrés Ferraro, Moritz Hubler, 2022, MORS@RecSys.

Basic Methods of Audio Signal Processing

Peter Knees, Markus Schedl, Peter Knees, 2016 .

An automatic drum machine with touch UI based on a generative neural network

Peter Knees, Hamid Eghbal-Zadeh, Richard Vogl, 2019, IUI Companion.

Sound/tracks: artistic real-time sonification of train journeys

Peter Knees, Tim Pohle, Gerhard Widmer, 2012, Journal on Multimodal User Interfaces.

A survey of music similarity and recommendation from music context data

Peter Knees, Markus Schedl, Peter Knees, 2013, ACM Trans. Multim. Comput. Commun. Appl..

Conversations with Expert Users in Music Retrieval and Research Challenges for Creative MIR

Peter Knees, Kristina Andersen, Peter Knees, 2016, ISMIR.

An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms

Peter Knees, Sergi Jordà, Cárthach Ó Nuanáin, 2016 .

Content-driven Music Recommendation: Evolution, State of the Art, and Challenges

Yashar Deldjoo, Peter Knees, M. Schedl, 2021, Computer Science Review.

New Paths in Music Recommender Systems Research

Peter Knees, Markus Schedl, Fabien Gouyon, 2017, RecSys.

Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come

Peter Knees, Markus Schedl, Masataka Goto, 2020, ISMIR.

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

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

Drum transcription from polyphonic music with recurrent neural networks

Peter Knees, Matthias Dorfer, Richard Vogl, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Music Recommendation Systems: Techniques, Use Cases, and Challenges

Brian McFee, D. Bogdanov, Peter Knees, 2022, Recommender Systems Handbook.

Intelligent music interfaces for listening and creation

Peter Knees, Markus Schedl, Rebecca Fiebrink, 2019, IUI Companion.

Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors

Bruce Ferwerda, Peter Knees, Markus Schedl, 2017, 2017 IEEE International Symposium on Multimedia (ISM).

Artist Classification with Web-Based Data

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

Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids

Peb Ruswono Aryan, M. Sabou, Peter Knees, 2023, NeSy.

User Awareness in Music Recommender Systems

Peter Knees, M. Schedl, Audrey Laplante, 2019 .

Multimedia recommender systems

Peter Knees, Markus Schedl, Balázs Hidasi, 2018, RecSys.

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

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

Hybrid music information retrieval

Peter Knees, Markus Schedl, Òscar Celma, 2013, International Journal of Multimedia Information Retrieval.

Exploring Music Collections in Virtual Landscapes

Peter Knees, Tim Pohle, Markus Schedl, 2007, IEEE MultiMedia.

An innovative three-dimensional user interface for exploring music collections enriched

Peter Knees, Tim Pohle, Markus Schedl, 2006, MM '06.

Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts

Peter Knees, Markus Schedl, Björn Þór Jónsson, 2017, CMMR.

Music similarity and retrieval

Peter Knees, Markus Schedl, Peter Knees, 2013, The Information Retrieval Series.

A music search engine built upon audio-based and web-based similarity measures

Peter Knees, Tim Pohle, Markus Schedl, 2007, SIGIR.

Searching for Music Using Natural Language Queries and Relevance Feedback

Peter Knees, Gerhard Widmer, G. Widmer, 2007, Adaptive Multimedia Retrieval.

Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts

Peter Knees, Tim Pohle, Markus Schedl, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

Music Retrieval and Recommendation: A Tutorial Overview

Peter Knees, Markus Schedl, Peter Knees, 2015, SIGIR.

Music Retrieval and Recommendation Proposal for a full-day tutorial to be held at SIGIR 2015

Peter Knees, M. Schedl, 2015 .

Automatic Music Tag Classification Based On Block-Level Features

Peter Knees, Markus Schedl, Gerhard Widmer, 2010 .

On Rhythm and General Music Similarity

Peter Knees, Tim Pohle, Markus Schedl, 2009, ISMIR.

Collaborating with Intelligent Machines: Interfaces for Creative Sound

Peter Knees, Kristina Andersen, Florian Grote, 2015, CHI Extended Abstracts.

Investigating the Similarity Space of Music Artists on the Micro-Blogosphere

Peter Knees, M. Schedl, Sebastian Böck, 2011, International Society for Music Information Retrieval Conference.

Exploring the music similarity space on the web

Peter Knees, Tim Pohle, Markus Schedl, 2011, TOIS.

The CoMIRVA Toolkit for Visualizing Music-Related Data

Peter Knees, Tim Pohle, Markus Schedl, 2007, EuroVis.

A WEB-BASED APPROACH TO ASSESSING ARTIST SIMILARITY USING CO-OCCURRENCES

Peter Knees, Markus Schedl, Gerhard Widmer, 2005 .

USING BLOCK-LEVEL FEATURES FOR GENRE CLASSIFICATION , TAG CLASSIFICATION AND MUSIC SIMILARITY ESTIMATION

Peter Knees, Tim Pohle, Markus Schedl, 2010 .

Automatically Adapting the Structure of Audio Similarity Spaces

Peter Knees, Tim Pohle, Markus Schedl, 2006 .

Independent Component Analysis for Music Similarity Computation

Peter Knees, Tim Pohle, Markus Schedl, 2006, ISMIR.

Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics

G. Widmer, Peter Knees, M. Schedl, 2005, ISMIR.

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.

Session-Based Hotel Recommendations: Challenges and Future Directions pdf

Wolfgang Wörndl, Peter Knees, Julia Neidhardt, 2019, ArXiv.

Sound/tracks: artistic real-time sonification of train journeys

G. Widmer, Peter Knees, Tim Pohle, 2012, Journal on Multimodal User Interfaces.

Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks

Peter Knees, Gerhard Widmer, Matthias Dorfer, 2017, ISMIR.

An Approach to Automatic Music Band Member Detection Based on Supervised Learning

Peter Knees, Peter Knees, 2011, Adaptive Multimedia Retrieval.

Towards Semantic Music Information Extraction from the Web Using Rule Patterns and Supervised Learning

Peter Knees, Markus Schedl, Peter Knees, 2011 .