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Publication list for
Peter Knees
E194 - Institute of Information Systems Engineering
as author or essentially involved person

79 records (2017 - 2022)


Books and Book Editorships


A. Lerch, P. Knees:
"Special Issue "Machine Learning Applied to Music/Audio Signal Processing"";
in series "Electronics", series editor: C. Psychalinos et al.; MDPI, Basel, 2021, ISSN: 2079-9292.

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P. Knees, Z. Gan (ed.):
"The ACM Multimedia 2020 Interactive Arts Exhibition: Human and AI Generated Multimedia";
GitHub, 2020.

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M. Tkalcic, M. Schedl, P. Knees:
"Special Issue on User Modeling for Personalized Interaction with Music";
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.

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P. Knees, Y. Deldjoo, F. Bakhshandegan Moghaddam, J. Adamczak, G. Leyson, P. Monreal (ed.):
"RecSys Challenge '19: Proceedings of the Workshop on ACM Recommender Systems Challenge";
ACM, New York, NY, United States, 2019, ISBN: 978-1-4503-7667-9.

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Publications in Scientific Journals


A. Hofmann, T. Miksa, P. Knees, A. Bakos, H. Sağlam, A. Ahmedaja, B. Yimwadsana, C. Chan, A. Rauber:
"Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval";
Empirical Musicology Review, 16 (2021), 1; 47 - 64.

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J. Adamczak, Y. Deldjoo, F. Bakhshandegan Moghaddam, P. Knees, G. Leyson, P. Monreal:
"Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019";
ACM Transactions on Intelligent Systems and Technology, 12 (2020), 1.

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P. Knees, M. Schedl, M. Goto:
"Intelligent User Interfaces for Music Discovery";
Transactions of the International Society for Music Information Retrieval, 3 (2020), 1; 165 - 179.

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T. Krismayer, M. Schedl, P. Knees, R. Rabiser:
"Predicting user demographics from music listening information";
Multimedia Tools and Applications, 78 (2019), 3; 2897 - 2920.

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Editorials in Scientific Journals


A. Lerch, P. Knees:
"Machine Learning Applied to Music/Audio Signal Processing";
Electronics, 10 (2021), 24.

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M. Tkalcic, M. Schedl, P. Knees:
"Preface to the Special Issue on User Modeling for Personalized Interaction with Music";
User Modeling and User-Adapted Interaction, 30 (2020), 195 - 198.

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Contributions to Books


P. Knees:
"Scaling Up Broken Systems? Considerations from the Area of Music Streaming";
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.

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P. Knees:
"Datengestützte Empfehlungssysteme - Kuratiertes Musikangebot";
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.

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P. Knees, M. Schedl, B. Ferwerda, A. Laplante:
"User awareness in music recommender systems";
in: "Personalized Human-Computer Interaction", M. Augstein, E. Herder, W. Wörndl (ed.); DeGruyter, Berlin, Boston, 2019, ISBN: 9783110552485, 223 - 252.

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Contributions to Proceedings


Y. Deldjoo, M. Schedl, B. Hidasi, P. Knees:
"Multimedia Recommender Systems";
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.

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H. Pálmason, B. Jónsson, M. Schedl, P. Knees:
"Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts";
in: "CMMR 2017: Music Technology with Swing", LNCS 11265; M. Aramaki, M. Davies, R. Kronland-Martinet, S. Ystad (ed.); Springer, Cham, 2018, 49 - 62.

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R. Vogl, P. Knees:
"MIREX Submission for Drum Transcription 2018";
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.

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R. Vogl, M. Dorfer, G. Widmer, P. Knees:
"MIREX Submission for Drum Transcription 2017";
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.

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Editorials in Proceedings


P. Knees, M. Schedl, R. Fiebrink:
"Preface to the 2nd Workshop on Intelligent Music Interfaces for Listening and Creation (MILC)";
in: "Joint Proceedings of the ACM IUI 2019 Workshops", 2327; C. Trattner, D. Parra, N. Riche (ed.); CEUR-WS.org, 2019, 2 pages.

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P. Knees, M. Schedl, R. Fiebrink:
"IUI'18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC)";
in: "Joint Proceedings of the ACM IUI 2018 Workshops", A. Said, T. Komatsu (ed.); CEUR-WS.org, 2018, 2 pages.

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P. Knees, K. Andersen, A. Said, M. Tkalcic:
"UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems";
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.

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Talks and Poster Presentations (with Proceedings-Entry)


P. Knees:
"An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair";
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.

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M. Schedl, M. Mayr, P. Knees:
"Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access";
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.

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S. Hunold, A. Bhatele, G. Bosilca, P. Knees:
"Predicting MPI Collective Communication Performance Using Machine Learning";
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.

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A. Schindler, S. Gordea, P. Knees:
"Unsupervised cross-modal audio representation learning from unstructured multilingual text";
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.

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S. Böck, M. Davies, P. Knees:
"Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other";
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.

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P. Knees, M. Schedl, M. Goto:
"Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come";
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.

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P. Knees:
"A Proposal for a Neutral Music Recommender System";
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.

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P. Knees, M. Hübler:
"Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists";
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.

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P. Knees, Y. Deldjoo, F. Bakhshandegan Moghaddam, J. Adamczak, G. Leyson, P. Monreal:
"RecSys Challenge 2019: Session-Based Hotel Recommendations";
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.

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A. Schindler, P. Knees:
"Multi-Task Music Representation Learning from Multi-Label Embeddings";
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.

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P. Knees, M. Schedl, R. Fiebrink:
"Intelligent Music Interfaces for Listening and Creation";
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.

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R. Vogl, H. Eghbal-Zadeh, P. Knees:
"An Automatic Drum Machine with Touch UI Based on a Generative Neural Network";
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.

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H. Eghbal-Zadeh, R. Vogl, G. Widmer, P. Knees:
"A GAN based Drum Pattern Generation UI Prototype";
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.

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R. Vogl, H. Eghbal-Zadeh, G. Widmer, P. Knees:
"GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves";
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.

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R. Vogl, G. Widmer, P. Knees:
"Towards Multi-Instrument Drum Transcription";
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.

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M. Schedl, F. Lemmerich, B. Ferwerda, M. Skowron, P. Knees:
"Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors";
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.

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R. Vogl, M. Dorfer, G. Widmer, P. Knees:
"Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks";
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.

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H. Pálmason, B. Jónsson, L. Amsaleg, M. Schedl, P. Knees:
"On Competitiveness of Nearest-Neighbor Based Music Classification: A Methodological Critique";
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.

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H. Pálmason, B. Jónsson, M. Schedl, P. Knees:
"Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts";
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.

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M. Schedl, P. Knees, F. Gouyon:
"New Paths in Music Recommender Systems Research";
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.

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T. Krismayer, M. Schedl, P. Knees, R. Rabiser:
"Prediction of User Demographics from Music Listening Habits";
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.

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R. Vogl, P. Knees:
"An Intelligent Drum Machine for Electronic Dance Music Production and Performance";
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.

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P. Knees, K. Andersen:
"Building Physical Props for Imagining Future Recommender Systems";
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.

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R. Vogl, M. Dorfer, P. Knees:
"Drum transcription from polyphonic music with recurrent neural networks";
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.

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Talks and Poster Presentations (without Proceedings-Entry)


P. Knees:
"Nachvollziehbare KI";
Talk: Digitale Kompetenzen @ Parlament, Wien; 2021-06-14 - 2021-09-24.

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P. Knees, C. Bauer, E. Lex, D. Sacharidis, M. Tkalcic:
"Panel on: Human-centered AI - Are we there yet?";
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.

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P. Knees:
"Neutrality and Fairness in Music Recommendation: A Matter of Digital Humanism";
Talk: Georgia Tech Center for Music Technology Seminar Series, Georgia Institute of Technology (invited); 2020-08-31.

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P. Knees:
"Music Information Retrieval for Building Intelligent Music Creation Tools";
Talk: Interactive Music Technologies, St. Gilgen (invited); 2020-01-23.

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P. Knees:
"From a Critical Take on Music Recommendation to Digital Humanism";
Talk: Critical Perspectives on Data Science and Machine Learning, KTH Stockholm, Sweden (invited); 2019-11-13.

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P. Knees:
"Introduction to Music Information Retrieval";
Talk: Informatik BEGINNER's Day 2019, TU Wien; 2019-10-01.

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P. Knees:
"On Stakeholders and Data Biases in Music Recommendation";
Talk: Media Technology and Interaction Design Seminar, KTH Stockholm, Sweden (invited); 2019-09-25.

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P. Knees:
"New Intelligent Tools in Music Creation? A Case for User-Centric Research";
Talk: User Experience Design, Jönköping University, Sweden (invited); 2019-09-23.

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C. Bauer, P. Knees:
"Music Information Retrieval: Inside and Outside the Music";
Talk: Ars Electronica 2019 - AIxMusic Matinée, Linz (invited); 2019-09-08.

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C. Bauer, P. Knees, R. Vogl, H. Raber:
"Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How?";
Talk: Ars Electronica 2019 - AIxMusic Workshops, Linz (invited); 2019-09-06.

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P. Knees:
"Ethnomusicology meets Music Information Retrieval: Towards Automated Segmentation and Analysis";
Talk: 2nd Workshop on Distributed Ethnomusicology data and MIR in the framework of ASEA-UNINET, Mahidol University, Bangkok, Thailand; 2019-07-14.

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H. Sağlam, A. Hofmann, A. Ahmedaja, T. Miksa, P. Knees:
"Towards an alliance for distributed music data?";
Talk: 45th International Council for Traditional Music World Conference, Bangkok, Thailand; 2019-07-11 - 2019-07-17.

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P. Knees:
"Die perfekte Musikempfehlung - Perfekt für wen?";
Talk: Future Music Camp 2019, Mannheim, Germany; 2019-05-16 - 2019-05-17.

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P. Knees, C. Wasner, B. Krenn:
"Artificial Intelligence and the Future of Business";
Talk: Vienna International Business Club, Expat Center of the Vienna Business Agency (invited); 2019-02-12.

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P. Knees:
"Introduction to Music Information Retrieval";
Talk: 1st Workshop on Distributed Ethnomusicology Data and Music Information Retrieval, Mahidol University, Bangkok, Thailand; 2019-01-28 - 2019-01-30.

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P. Knees:
"Towards Recommender Systems for Music Creators";
Talk: HCI Lunchtime Scientific Series, TU Wien; 2019-01-14.

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P. Knees:
"Selected Topics in Music Recommendation";
Talk: E-Commerce Research Seminar for Ph.D. Students 2018W, TU Wien (invited); 2018-11-22.

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M. Schedl, P. Knees, F. Gouyon:
"Overview and New Challenges of Music Recommendation Research in 2018";
Talk: 19th International Society for Music Information Retrieval Conference, Paris, France; 2018-09-23 - 2018-09-27.

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P. Knees:
"Music and Sound Recommendation for Listeners and Creators";
Talk: eBusiness in the Creative Industries, University of Vienna (invited); 2018-05-15.

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P. Knees:
"Künstliche Intelligenz als personalisierter Komponist - Automatische Musikerzeugung als das Ende der Tantiemen?";
Talk: Future Music Camp 2018, Mannheim, Germany; 2018-04-26 - 2018-04-27.

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P. Knees:
"Towards Visual Interfaces to Sound and Music Retrieval";
Talk: National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan (invited); 2018-03-12.

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P. Knees:
"Introduction to Music Information Retrieval";
Talk: Informatik BEGINNER's Day 2017, TU Wien; 2017-10-02.

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P. Knees:
"Introduction to Music Information Retrieval and Music Content Analysis";
Talk: Indonesian Summer School on Music Information Retrieval, Depok, Indonesia; 2017-08-14 - 2017-08-18.

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P. Knees:
"Me, Myself & A.I.";
Talk: Werbeplanung.at Summit 2017, Vienna (invited); 2017-07-03 - 2017-07-05.

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P. Knees:
"Music Retrieval and Recommendation: Applications in Music Creation and Collaboration";
Talk: 3rd Berlin Music Information Retrieval Meetup, Berlin, Germany (invited); 2017-05-15.

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P. Knees, R. Vogl:
"Music Information Retrieval for Creative Audio Production";
Poster: i²c Networking Friday 2017, TU Wien; 2017-03-24.

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P. Knees:
"Towards Visual Approaches to Audio Retrieval in Creative Music Production";
Talk: Guest Lecture, Chulalongkorn University, Bangkok, Thailand (invited); 2017-02-17.

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Habilitation Theses


P. Knees:
"Information Retrieval and Recommender Systems for Music Listening and Creation";
Technische Universität Wien / Fakultät für Informatik, 2020.

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Doctor's Theses (authored and supervised)


R. Vogl:
"Deep Learning Methods for Drum Transcription and Drum Pattern Generation";
Supervisor, Reviewer: G. Widmer, P. Knees, M. Davies; Johannes Kepler University Linz, 2018.

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Diploma and Master Theses (authored and supervised)


I. Mikusová:
"Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN";
Supervisor: P. Knees, B. Maass, C. Herbst; Institut für Information Systems Engineering, 2022; final examination: 2022-01-10.

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D. Gradinariu:
"On Multilingual Natural Language Processing for Social Media Engagement Prediction";
Supervisor: P. Knees; Institut für Information Systems Engineering, 2020; final examination: 2021-01-13.

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M. Aigner:
"Extraction of Tabular Information from PDF Documents - A graph-based Approach";
Supervisor: P. Knees, F. Preis; Institut für Information Systems Engineering, 2020; final examination: 2020-11-16.

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M. Gabriel:
"Distributed Factorization Machines for Next-Track Music Recommendation";
Supervisor: P. Knees; Institut für Information Systems Engineering, 2020; final examination: 2020-06-04.

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M. Lepadat:
"Rule-based Recommender for Feature Engineering in Big Data";
Supervisor: A. Tjoa, E. Kiesling, P. Knees; Techniche Universität Wien, 2019; final examination: 2019-06-05.

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G. Marzorati:
"An Investigation of Piano Transcription Algorithm for Jazz Music";
Supervisor: F. Antonacci, P. Knees, R. Vogl; Politecnico di Milano, Italy, 2018.

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