Peter Knees

Peter Knees

Technische Universität Wien

H-index: 31

Europe-Austria

About Peter Knees

Peter Knees, With an exceptional h-index of 31 and a recent h-index of 18 (since 2020), a distinguished researcher at Technische Universität Wien, specializes in the field of Music Information Retrieval, Recommender Systems, Multimedia, Digital Humanism.

His recent articles reflect a diverse array of research interests and contributions to the field:

Recommender Systems: Techniques, Effects, and Measures Toward Pluralism and Fairness

Digital humanism: The time is now

Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation

Digital Humanism and Norms in Recommender Systems

Exploring effect-size-based meta-analysis for multi-dataset evaluation

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

MuRS: Music Recommender Systems Workshop

Connecting Ethnomusicology Data Collections Using Distributed Repositories and Linked Data Technology

Peter Knees Information

University

Position

Faculty of Informatics

Citations(all)

3526

Citations(since 2020)

1410

Cited By

2893

hIndex(all)

31

hIndex(since 2020)

18

i10Index(all)

82

i10Index(since 2020)

43

Email

University Profile Page

Technische Universität Wien

Google Scholar

View Google Scholar Profile

Peter Knees Skills & Research Interests

Music Information Retrieval

Recommender Systems

Multimedia

Digital Humanism

Top articles of Peter Knees

Title

Journal

Author(s)

Publication Date

Recommender Systems: Techniques, Effects, and Measures Toward Pluralism and Fairness

Hannes Werthner· Carlo Ghezzi· Jeff Kramer· Julian Nida-Rümelin· Bashar Nuseibeh· Erich Prem·

Peter Knees

Julia Neidhardt

Irina Nalis

2024

Digital humanism: The time is now

Computer

Hannes Werthner

Allison Stanger

Viola Schiaffonati

Peter Knees

Lynda Hardman

...

2023/1/6

Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation

arXiv preprint arXiv:2309.11623

Pavan Seshadri

Peter Knees

2023/9/20

Digital Humanism and Norms in Recommender Systems

Erich Prem

Julia Neidhardt

Peter Knees

Stefan Woltran

Hannes Werthner

2023

Exploring effect-size-based meta-analysis for multi-dataset evaluation

Said et al.[2023b]. URL https://ceur-ws. org

Mete Sertkan

Sophia Althammer

Sebastian Hofstätter

Peter Knees

Julia Neidhardt

2023/9/19

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

Katrin Schreiberhuber

Marta Sabou

Fajar J Ekaputra

Peter Knees

Peb Ruswono Aryan

...

2023

MuRS: Music Recommender Systems Workshop

Andres Ferraro

Peter Knees

Massimo Quadrana

Tao Ye

Fabien Gouyon

2023/9/14

Connecting Ethnomusicology Data Collections Using Distributed Repositories and Linked Data Technology

Martin Weise

Peter Knees

Alex Hofmann

Ardian Ahmedaja

Anda Beitāne

...

2023/5/24

MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation

Peter Knees

Alexander Lerch

2023/3/27

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

Peter Knees

Andrés Ferraro

Moritz Hubler

2022/11/6

Music Information Retrieval and Recommendation: Recent and Future Developments

Peter Knees

2022/8/22

ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors

Damjan Prvulovic

Richard Vogl

Peter Knees

2022/7/4

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

Perspectives on Digital Humanism

Peter Knees

2022

A Reproducibility Study on User-centric MIR Research and Why it is Important.

Peter Knees

Bruce Ferwerda

Andreas Rauber

Sebastian Strumbelj

Annabel Resch

...

2022/12/4

On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging.

Maximilian Damböck

Richard Vogl

Peter Knees

2022/12/4

Special Issue" Machine Learning Applied to Music/Audio Signal Processing"

Alexander Lerch

Peter Knees

2021

Music recommendation systems: Techniques, use cases, and challenges

Markus Schedl

Peter Knees

Brian McFee

Dmitry Bogdanov

2021/11/22

Datengestützte Empfehlungssysteme – Kuratiertes Musikangebot

Peter Knees

2021

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

arXiv preprint arXiv:2107.11803

Yashar Deldjoo

Markus Schedl

Peter Knees

2021/7/25

Nachvollziehbare KI

Peter Knees

2021

See List of Professors in Peter Knees University(Technische Universität Wien)

Co-Authors

H-index: 63
Gerhard Widmer

Gerhard Widmer

Johannes Kepler Universität Linz

H-index: 54
Simon Dixon

Simon Dixon

Queen Mary University of London

H-index: 52
Markus Schedl

Markus Schedl

Johannes Kepler Universität Linz

H-index: 44
Perfecto Herrera Boyer

Perfecto Herrera Boyer

Universidad Pompeu Fabra

H-index: 34
Brian McFee

Brian McFee

New York University

H-index: 34
Bogdan Ionescu

Bogdan Ionescu

Universitatea Politehnica din Bucuresti

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