Peter Knees

Associate Prof. Dipl.-Ing. Dr.techn.

Research Focus

Information Systems Engineering: 70%
Visual Computing and Human-Centered Technology: 30%

Research Areas

Information Retrieval, User interfaces, Music Information Retrieval, Recommender Systems, Artificial Intelligence, Machine Learning

Roles

Associate Professor
Data Science, E194-04
Curriculum Coordinator
Bachelor Informatics / Specialization Artificial Intelligence + Machine Learning
Faculty Council
Substitute Member
Curriculum Commission for Business Informatics
Substitute Member

Contact

Courses

2022W

Bachelor Thesis / 188.919 / PR
Business Intelligence / 188.429 / VU
Digital Humanism / 194.072 / VU
Experiment Design for Data Science / 188.992 / VU
Intelligent Audio and Music Analysis / 194.039 / VU
Interdisciplinary Project in Data Science / 194.047 / PR
Project in Computer Science / 194.079 / PR
Project in Computer Science 2 / 194.080 / PR
Research seminar for PhD students / 188.081 / SE

2023S

Advanced Information Retrieval / 188.980 / VU
Bachelor Thesis / 188.919 / PR
Project in Computer Science / 194.079 / PR
Project in Computer Science 2 / 194.080 / PR
Research seminar for PhD students / 188.081 / SE
Scientific Research and Writing / 193.052 / SE

Projects

Humans and Recommender Systems: Towards Mutual Understanding
2021 – 2024 / Austrian Science Fund (FWF)
Digital Humanism Roadmap: Chancen an der Schnittstelle von Innovation und Forschung
2021 – 2022 / Vienna Business Agency (WAW)
DigHumHub
2020 – 2021 / MA 7 der Stadt Wien
Automatic recommendation of music tracks and musicians for collaboration in an online jam community
2017 – 2019 / Austrian Research Promotion Agency (FFG)

Publications

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once APIs for the new database have been released, everything will be up to date again.

2022

Scaling Up Broken Systems? Considerations from the Area of Music Streaming / P. Knees / in: "Perspectives on Digital Humanism", H. Werthner, E. Prem, E. Lee, C. Ghezzi (ed.); Springer Nature Switzerland AG, Cham, 2022, ISBN: 978-3-030-86146-9, 165 - 171

2021

An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair / P. Knees / Keynote Lecture: 6th Human-Computer Interaction Slovenia Conference (HCI-SI 2021), Koper, Slovenia (invited); 2021-11-08; in: "Proceedings of the 6th Human-Computer Interaction Slovenia Conference", M. Tkalcic, V. Pejović, M. Kljun, K. Čopič Pucihar (ed.); CEUR-WS, 3054 (2021), ISSN: 1613-0073; 2
Nachvollziehbare KI / P. Knees / Talk: Digitale Kompetenzen @ Parlament, Wien; 2021-06-14 - 2021-09-24
Panel on: Human-centered AI - Are we there yet? / P. Knees, C. Bauer, E. Lex, D. Sacharidis, M. Tkalcic / Talk: 5th HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory, College Station, TX, USA (invited); 2021-04-13
Datengestützte Empfehlungssysteme - Kuratiertes Musikangebot / P. Knees / in: "Musikwirtschaft im Zeitalter der Digitalisierung. Handbuch für Wissenschaft und Praxis", H. Wandjo, A. Endreß (ed.); Nomos Verlagsgesellschaft mbH & Co. KG, Baden-Baden, 2021, ISBN: 978-3-8487-3367-5, 419 - 432
Special Issue "Machine Learning Applied to Music/Audio Signal Processing" / A. Lerch, P. Knees / in series "Electronics", series editor: C. Psychalinos et al.; MDPI, Basel, 2021, ISSN: 2079-9292
Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval / A. Hofmann, T. Miksa, P. Knees, A. Bakos, H. Sağlam, A. Ahmedaja, B. Yimwadsana, C. Chan, A. Rauber / Empirical Musicology Review, 16 (2021), 1; 47 - 64
Machine Learning Applied to Music/Audio Signal Processing / A. Lerch, P. Knees / Electronics, 10 (2021), 24

2020

Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access / M. Schedl, M. Mayr, P. Knees / Talk: 2020 International Conference on Multimedia Retrieval (ICMR ´20), Dublin, Ireland; 2020-10-26 - 2020-10-29; in: "Proceedings of the 2020 International Conference on Multimedia Retrieval", ACM, 6 (2020), ISBN: 9781450370875; 388 - 392
Predicting MPI Collective Communication Performance Using Machine Learning / S. Hunold, A. Bhatele, G. Bosilca, P. Knees / Talk: IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan; 2020-09-14 - 2020-09-17; in: "Proceedings of the IEEE International Conference on Cluster Computing (IEEE Cluster 2020)", IEEE, (2020), ISBN: 978-1-7281-6678-0; 259 - 269
Neutrality and Fairness in Music Recommendation: A Matter of Digital Humanism / P. Knees / Talk: Georgia Tech Center for Music Technology Seminar Series, Georgia Institute of Technology (invited); 2020-08-31
Unsupervised cross-modal audio representation learning from unstructured multilingual text / A. Schindler, S. Gordea, P. Knees / Talk: 35th Annual ACM Symposium on Applied Computing (SAC ´20), Brno, Czech Republic; 2020-03-30 - 2020-04-03; in: "Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC ´20)", ACM, (2020), ISBN: 9781450368667; 706 - 713
Music Information Retrieval for Building Intelligent Music Creation Tools / P. Knees / Talk: Interactive Music Technologies, St. Gilgen (invited); 2020-01-23
The ACM Multimedia 2020 Interactive Arts Exhibition: Human and AI Generated Multimedia / P. Knees, Z. Gan / GitHub, 2020
Special Issue on User Modeling for Personalized Interaction with Music / M. Tkalcic, M. Schedl, P. Knees / in series "User Modeling and User-Adapted Interaction - The Journal of Personalization Research", series editor: J. Masthoff et al.; Springer Nature Switzerland AG, Cham, 2020, ISSN: 0924-1868
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019 / J. Adamczak, Y. Deldjoo, F. Bakhshandegan Moghaddam, P. Knees, G. Leyson, P. Monreal / ACM Transactions on Intelligent Systems and Technology, 12 (2020), 1
Intelligent User Interfaces for Music Discovery / P. Knees, M. Schedl, M. Goto / Transactions of the International Society for Music Information Retrieval, 3 (2020), 1; 165 - 179
Information Retrieval and Recommender Systems for Music Listening and Creation / Habilitation Thesis by P. Knees / Technische Universität Wien / Fakultät für Informatik, 2020
Preface to the Special Issue on User Modeling for Personalized Interaction with Music / M. Tkalcic, M. Schedl, P. Knees / User Modeling and User-Adapted Interaction, 30 (2020), 195 - 198

2019

From a Critical Take on Music Recommendation to Digital Humanism / P. Knees / Talk: Critical Perspectives on Data Science and Machine Learning, KTH Stockholm, Sweden (invited); 2019-11-13
Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come / P. Knees, M. Schedl, M. Goto / Talk: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 2019-11-04 - 2019-11-08; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), 44 - 53
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other / S. Böck, M. Davies, P. Knees / Talk: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 2019-11-04 - 2019-11-08; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), 486 - 493
A Proposal for a Neutral Music Recommender System / P. Knees / Talk: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 2019-11-02; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (ed.); (2019), 4 - 7
Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists / P. Knees, M. Hübler / Talk: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 2019-11-02; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (ed.); (2019), 19 - 22
Introduction to Music Information Retrieval / P. Knees / Talk: Informatik BEGINNER's Day 2019, TU Wien; 2019-10-01
On Stakeholders and Data Biases in Music Recommendation / P. Knees / Talk: Media Technology and Interaction Design Seminar, KTH Stockholm, Sweden (invited); 2019-09-25
New Intelligent Tools in Music Creation? A Case for User-Centric Research / P. Knees / Talk: User Experience Design, Jönköping University, Sweden (invited); 2019-09-23
RecSys Challenge 2019: Session-Based Hotel Recommendations / P. Knees, Y. Deldjoo, F. Bakhshandegan Moghaddam, J. Adamczak, G. Leyson, P. Monreal / Poster: 13th ACM Conference on Recommender Systems, Copenhagen, Denmark; 2019-09-16 - 2019-09-20; in: "Proceedings of the 13th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2019), ISBN: 9781450362436; 570 - 571
Music Information Retrieval: Inside and Outside the Music / C. Bauer, P. Knees / Talk: Ars Electronica 2019 - AIxMusic Matinée, Linz (invited); 2019-09-08
Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How? / C. Bauer, P. Knees, R. Vogl, H. Raber / Talk: Ars Electronica 2019 - AIxMusic Workshops, Linz (invited); 2019-09-06
Multi-Task Music Representation Learning from Multi-Label Embeddings / A. Schindler, P. Knees / Talk: 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland; 2019-09-04 - 2019-09-06; in: "Proceedings of the 17th International Conference on Content-Based Multimedia Indexing (CBMI2019)", IEEE, (2019), ISBN: 978-1-7281-4673-7; 1 - 6
Ethnomusicology meets Music Information Retrieval: Towards Automated Segmentation and Analysis / P. Knees / Talk: 2nd Workshop on Distributed Ethnomusicology data and MIR in the framework of ASEA-UNINET, Mahidol University, Bangkok, Thailand; 2019-07-14
Towards an alliance for distributed music data? / H. Sağlam, A. Hofmann, A. Ahmedaja, T. Miksa, P. Knees / Talk: 45th International Council for Traditional Music World Conference, Bangkok, Thailand; 2019-07-11 - 2019-07-17
Die perfekte Musikempfehlung - Perfekt für wen? / P. Knees / Talk: Future Music Camp 2019, Mannheim, Germany; 2019-05-16 - 2019-05-17
An Automatic Drum Machine with Touch UI Based on a Generative Neural Network / R. Vogl, H. Eghbal-Zadeh, P. Knees / Poster: 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA; 2019-03-16 - 2019-03-20; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; 91 - 92
Intelligent Music Interfaces for Listening and Creation / P. Knees, M. Schedl, R. Fiebrink / Talk: 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA; 2019-03-16 - 2019-03-20; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; 135 - 136
Artificial Intelligence and the Future of Business / P. Knees, C. Wasner, B. Krenn / Talk: Vienna International Business Club, Expat Center of the Vienna Business Agency (invited); 2019-02-12
Introduction to Music Information Retrieval / P. Knees / Talk: 1st Workshop on Distributed Ethnomusicology Data and Music Information Retrieval, Mahidol University, Bangkok, Thailand; 2019-01-28 - 2019-01-30
Towards Recommender Systems for Music Creators / P. Knees / Talk: HCI Lunchtime Scientific Series, TU Wien; 2019-01-14
User awareness in music recommender systems / P. Knees, M. Schedl, B. Ferwerda, A. Laplante / in: "Personalized Human-Computer Interaction", M. Augstein, E. Herder, W. Wörndl (ed.); DeGruyter, Berlin, Boston, 2019, ISBN: 9783110552485, 223 - 252
RecSys Challenge '19: Proceedings of the Workshop on ACM Recommender Systems Challenge / P. Knees, Y. Deldjoo, F. Bakhshandegan Moghaddam, J. Adamczak, G. Leyson, P. Monreal / ACM, New York, NY, United States, 2019, ISBN: 978-1-4503-7667-9
Predicting user demographics from music listening information / T. Krismayer, M. Schedl, P. Knees, R. Rabiser / Multimedia Tools and Applications, 78 (2019), 3; 2897 - 2920
Preface to the 2nd Workshop on Intelligent Music Interfaces for Listening and Creation (MILC) / P. Knees, M. Schedl, R. Fiebrink / in: "Joint Proceedings of the ACM IUI 2019 Workshops", 2327; C. Trattner, D. Parra, N. Riche (ed.); CEUR-WS.org, 2019, 2 pages

2018

Selected Topics in Music Recommendation / P. Knees / Talk: E-Commerce Research Seminar for Ph.D. Students 2018W, TU Wien (invited); 2018-11-22
GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves / R. Vogl, H. Eghbal-Zadeh, G. Widmer, P. Knees / Poster: 19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition, Paris, France; 2018-09-23 - 2018-09-27; in: "19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition", (2018), 5 pages
A GAN based Drum Pattern Generation UI Prototype / H. Eghbal-Zadeh, R. Vogl, G. Widmer, P. Knees / Poster: 19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session, Paris, France; 2018-09-23 - 2018-09-27; in: "19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session", (2018), Paper ID 32, 2 pages
Overview and New Challenges of Music Recommendation Research in 2018 / M. Schedl, P. Knees, F. Gouyon / Talk: 19th International Society for Music Information Retrieval Conference, Paris, France; 2018-09-23 - 2018-09-27
Towards Multi-Instrument Drum Transcription / R. Vogl, G. Widmer, P. Knees / Talk: 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal; 2018-09-04 - 2018-09-08; in: "Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18)", (2018), ISSN: 2413-6700; 57 - 64
Music and Sound Recommendation for Listeners and Creators / P. Knees / Talk: eBusiness in the Creative Industries, University of Vienna (invited); 2018-05-15
Künstliche Intelligenz als personalisierter Komponist - Automatische Musikerzeugung als das Ende der Tantiemen? / P. Knees / Talk: Future Music Camp 2018, Mannheim, Germany; 2018-04-26 - 2018-04-27
Towards Visual Interfaces to Sound and Music Retrieval / P. Knees / Talk: National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan (invited); 2018-03-12
Multimedia Recommender Systems / Y. Deldjoo, M. Schedl, B. Hidasi, P. Knees / in: "Proceedings of the 12th ACM Conference on Recommender Systems", issued by: ACM; ACM, New York, NY, USA, 2018, ISBN: 978-1-4503-5901-6, 537 - 538
Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts / H. Pálmason, B. Jónsson, M. Schedl, P. Knees / in: "CMMR 2017: Music Technology with Swing", LNCS 11265; M. Aramaki, M. Davies, R. Kronland-Martinet, S. Ystad (ed.); Springer, Cham, 2018, 49 - 62
MIREX Submission for Drum Transcription 2018 / R. Vogl, P. Knees / in: "14th Music Information Retrieval Evaluation eXchange (MIREX 2018)", International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA, 2018, 2 pages
IUI'18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC) / P. Knees, M. Schedl, R. Fiebrink / in: "Joint Proceedings of the ACM IUI 2018 Workshops", A. Said, T. Komatsu (ed.); CEUR-WS.org, 2018, 2 pages

2017

Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors / M. Schedl, F. Lemmerich, B. Ferwerda, M. Skowron, P. Knees / Talk: 2017 IEEE International Symposium on Multimedia, Taichung, Taiwan; 2017-12-11 - 2017-12-13; in: "Proceedings of the 2017 IEEE International Symposium on Multimedia", IEEE, (2017), ISBN: 978-1-5386-2937-6; 308 - 311
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks / R. Vogl, M. Dorfer, G. Widmer, P. Knees / Talk: 18th International Society for Music Information Retrieval Conference, Suzhou, China; 2017-10-23 - 2017-10-27; in: "Proceedings of the 18th International Society for Music Information Retrieval Conference", (2017), ISBN: 978-981-11-5179-8; 150 - 157
On Competitiveness of Nearest-Neighbor Based Music Classification: A Methodological Critique / H. Pálmason, B. Jónsson, L. Amsaleg, M. Schedl, P. Knees / Talk: 10th International Conference on Similarity Search and Applications, Munich, Germany; 2017-10-04 - 2017-10-06; in: "Similarity Search and Applications", C. Beeck, F. Borutta, P. Kröger, T. Seidl (ed.); Lecture Notes in Computer Science, Springer, 10609 (2017), ISBN: 978-3-319-68473-4; 275 - 283
Introduction to Music Information Retrieval / P. Knees / Talk: Informatik BEGINNER's Day 2017, TU Wien; 2017-10-02
Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts / H. Pálmason, B. Jónsson, M. Schedl, P. Knees / Talk: 13th International Symposium on Computer Music Multidisciplinary Research, Matosinhos, Portugal; 2017-09-25 - 2017-09-28; in: "Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research", R. Kronland-Martinet, S. Ystad, M. Aramaki (ed.); Les éditions de PRISM, Marseille, France (2017), 45 - 56
New Paths in Music Recommender Systems Research / M. Schedl, P. Knees, F. Gouyon / Talk: 11th ACM Conference on Recommender Systems, Como, Italien; 2017-08-27 - 2017-08-31; in: "Proceedings of the 11th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-4652-8; 392 - 393
Introduction to Music Information Retrieval and Music Content Analysis / P. Knees / Talk: Indonesian Summer School on Music Information Retrieval, Depok, Indonesia; 2017-08-14 - 2017-08-18
Me, Myself & A.I. / P. Knees / Talk: Werbeplanung.at Summit 2017, Vienna (invited); 2017-07-03 - 2017-07-05
Prediction of User Demographics from Music Listening Habits / T. Krismayer, M. Schedl, P. Knees, R. Rabiser / Talk: 15th International Workshop on Content-Based Multimedia Indexing, Florenz, Italien; 2017-06-19 - 2017-06-21; in: "Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-5333-5; 8:1 - 8:7
An Intelligent Drum Machine for Electronic Dance Music Production and Performance / R. Vogl, P. Knees / Poster: 17th International Conference on New Interfaces for Musical Expression, Copenhagen, Denmark; 2017-05-15 - 2017-05-18; in: "Proceedings of the 17th International Conference on New Interfaces for Musical Expression", (2017), 231 - 236
Music Retrieval and Recommendation: Applications in Music Creation and Collaboration / P. Knees / Talk: 3rd Berlin Music Information Retrieval Meetup, Berlin, Germany (invited); 2017-05-15
Music Information Retrieval for Creative Audio Production / P. Knees, R. Vogl / Poster: i²c Networking Friday 2017, TU Wien; 2017-03-24
Building Physical Props for Imagining Future Recommender Systems / P. Knees, K. Andersen / Talk: 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, Limassol, Cyprus; 2017-03-13; in: "Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-4905-5; 39 - 43
Drum transcription from polyphonic music with recurrent neural networks / R. Vogl, M. Dorfer, P. Knees / Talk: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA; 2017-03-05 - 2017-03-09; in: "Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing", (2017), ISBN: 978-1-5090-4117-6; 201 - 205
Towards Visual Approaches to Audio Retrieval in Creative Music Production / P. Knees / Talk: Guest Lecture, Chulalongkorn University, Bangkok, Thailand (invited); 2017-02-17
MIREX Submission for Drum Transcription 2017 / R. Vogl, M. Dorfer, G. Widmer, P. Knees / in: "13th Music Information Retrieval Evaluation eXchange (MIREX 2017)", International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA, 2017, 1 pages
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems / P. Knees, K. Andersen, A. Said, M. Tkalcic / in: "Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization", ACM, New York, NY, USA, 2017, ISBN: 978-1-4503-5067-9, 347 - 349

Supervisions