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Publikationsliste für
Peter Knees
E194 - Institut für Information Systems Engineering
als Autorin / Autor bzw. wesentlich beteiligte Person

79 Datensätze (2017 - 2022)

In der nachstehenden Liste werden Präsentationen mit Tagungsband doppelt - als Druckpublikation und als Präsentation - ausgegeben. Die Gesamtanzahl der unten aufgelisteten Datensätze ist daher im Allgemeinen größer als die oben angeführte Anzahl.

1. P. Knees, Y. Deldjoo, F. Bakhshandegan Moghaddam, J. Adamczak, G. Leyson, P. Monreal (Hrg.):
   "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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2. P. Knees, Z. Gan (Hrg.):
   "The ACM Multimedia 2020 Interactive Arts Exhibition: Human and AI Generated Multimedia";
   GitHub, 2020.
   
   Zusätzliche Informationen
   
   
3. A. Lerch, P. Knees:
   "Special Issue "Machine Learning Applied to Music/Audio Signal Processing"";
   in Buchreihe "Electronics", Buchreihen-Herausgeber: C. Psychalinos et al.; MDPI, Basel, 2021, ISSN: 2079-9292.
   
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4. M. Tkalcic, M. Schedl, P. Knees:
   "Special Issue on User Modeling for Personalized Interaction with Music";
   in Buchreihe "User Modeling and User-Adapted Interaction - The Journal of Personalization Research", Buchreihen-Herausgeber: J. Masthoff et al.; Springer Nature Switzerland AG, Cham, 2020, ISSN: 0924-1868.
   
   

1. 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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2. 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; S. 47 - 64.
   
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3. P. Knees, M. Schedl, M. Goto:
   "Intelligent User Interfaces for Music Discovery";
   Transactions of the International Society for Music Information Retrieval, 3 (2020), 1; S. 165 - 179.
   
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4. T. Krismayer, M. Schedl, P. Knees, R. Rabiser:
   "Predicting user demographics from music listening information";
   Multimedia Tools and Applications, 78 (2019), 3; S. 2897 - 2920.
   
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1. A. Lerch, P. Knees:
   "Machine Learning Applied to Music/Audio Signal Processing";
   Electronics, 10 (2021), 24.
   
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2. 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), S. 195 - 198.
   
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1. P. Knees:
   "Datengestützte Empfehlungssysteme - Kuratiertes Musikangebot";
   in: "Musikwirtschaft im Zeitalter der Digitalisierung. Handbuch für Wissenschaft und Praxis", H. Wandjo, A. Endreß (Hrg.); Nomos Verlagsgesellschaft mbH & Co. KG, Baden-Baden, 2021, ISBN: 978-3-8487-3367-5, S. 419 - 432.
   
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2. 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 (Hrg.); Springer Nature Switzerland AG, Cham, 2022, ISBN: 978-3-030-86146-9, S. 165 - 171.
   
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3. 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 (Hrg.); DeGruyter, Berlin, Boston, 2019, ISBN: 9783110552485, S. 223 - 252.
   
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1. S. Böck, M. Davies, P. Knees:
   "Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other";
   Vortrag: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 04.11.2019 - 08.11.2019; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), S. 486 - 493.
   
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2. Y. Deldjoo, M. Schedl, B. Hidasi, P. Knees:
   "Multimedia Recommender Systems";
   in: "Proceedings of the 12th ACM Conference on Recommender Systems", herausgegeben von: ACM; ACM, New York, NY, USA, 2018, ISBN: 978-1-4503-5901-6, S. 537 - 538.
   
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3. 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; 23.09.2018 - 27.09.2018; in: "19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session", (2018), Paper-Nr. 32, 2 S.
   
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4. S. Hunold, A. Bhatele, G. Bosilca, P. Knees:
   "Predicting MPI Collective Communication Performance Using Machine Learning";
   Vortrag: IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan; 14.09.2020 - 17.09.2020; in: "Proceedings of the IEEE International Conference on Cluster Computing (IEEE Cluster 2020)", IEEE, (2020), ISBN: 978-1-7281-6678-0; S. 259 - 269.
   
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5. P. Knees:
   "A Proposal for a Neutral Music Recommender System";
   Vortrag: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 02.11.2019; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (Hrg.); (2019), S. 4 - 7.
   
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6. P. Knees:
   "An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair";
   Hauptvortrag: 6th Human-Computer Interaction Slovenia Conference (HCI-SI 2021), Koper, Slovenia (eingeladen); 08.11.2021; in: "Proceedings of the 6th Human-Computer Interaction Slovenia Conference", M. Tkalcic, V. Pejović, M. Kljun, K. Čopič Pucihar (Hrg.); CEUR-WS, 3054 (2021), ISSN: 1613-0073; S. 2.
   
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7. P. Knees, K. Andersen:
   "Building Physical Props for Imagining Future Recommender Systems";
   Vortrag: 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, Limassol, Cyprus; 13.03.2017; 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; S. 39 - 43.
   
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8. 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; 16.09.2019 - 20.09.2019; in: "Proceedings of the 13th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2019), ISBN: 9781450362436; S. 570 - 571.
   
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9. P. Knees, M. Hübler:
   "Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists";
   Vortrag: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 02.11.2019; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (Hrg.); (2019), S. 19 - 22.
   
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10. P. Knees, M. Schedl, R. Fiebrink:
    "Intelligent Music Interfaces for Listening and Creation";
    Vortrag: 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA; 16.03.2019 - 20.03.2019; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; S. 135 - 136.
    
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11. P. Knees, M. Schedl, M. Goto:
    "Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come";
    Vortrag: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 04.11.2019 - 08.11.2019; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), S. 44 - 53.
    
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12. T. Krismayer, M. Schedl, P. Knees, R. Rabiser:
    "Prediction of User Demographics from Music Listening Habits";
    Vortrag: 15th International Workshop on Content-Based Multimedia Indexing, Florenz, Italien; 19.06.2017 - 21.06.2017; in: "Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-5333-5; S. 8:1 - 8:7.
    
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13. H. Pálmason, B. Jónsson, L. Amsaleg, M. Schedl, P. Knees:
    "On Competitiveness of Nearest-Neighbor Based Music Classification: A Methodological Critique";
    Vortrag: 10th International Conference on Similarity Search and Applications, Munich, Germany; 04.10.2017 - 06.10.2017; in: "Similarity Search and Applications", C. Beeck, F. Borutta, P. Kröger, T. Seidl (Hrg.); Lecture Notes in Computer Science, Springer, 10609 (2017), ISBN: 978-3-319-68473-4; S. 275 - 283.
    
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14. H. Pálmason, B. Jónsson, M. Schedl, P. Knees:
    "Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts";
    Vortrag: 13th International Symposium on Computer Music Multidisciplinary Research, Matosinhos, Portugal; 25.09.2017 - 28.09.2017; in: "Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research", R. Kronland-Martinet, S. Ystad, M. Aramaki (Hrg.); Les éditions de PRISM, Marseille, France (2017), S. 45 - 56.
    
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15. 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 (Hrg.); Springer, Cham, 2018, S. 49 - 62.
    
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16. M. Schedl, P. Knees, F. Gouyon:
    "New Paths in Music Recommender Systems Research";
    Vortrag: 11th ACM Conference on Recommender Systems, Como, Italien; 27.08.2017 - 31.08.2017; in: "Proceedings of the 11th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-4652-8; S. 392 - 393.
    
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17. M. Schedl, F. Lemmerich, B. Ferwerda, M. Skowron, P. Knees:
    "Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors";
    Vortrag: 2017 IEEE International Symposium on Multimedia, Taichung, Taiwan; 11.12.2017 - 13.12.2017; in: "Proceedings of the 2017 IEEE International Symposium on Multimedia", IEEE, (2017), ISBN: 978-1-5386-2937-6; S. 308 - 311.
    
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18. M. Schedl, M. Mayr, P. Knees:
    "Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access";
    Vortrag: 2020 International Conference on Multimedia Retrieval (ICMR ´20), Dublin, Ireland; 26.10.2020 - 29.10.2020; in: "Proceedings of the 2020 International Conference on Multimedia Retrieval", ACM, 6 (2020), ISBN: 9781450370875; S. 388 - 392.
    
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19. A. Schindler, S. Gordea, P. Knees:
    "Unsupervised cross-modal audio representation learning from unstructured multilingual text";
    Vortrag: 35th Annual ACM Symposium on Applied Computing (SAC ´20), Brno, Czech Republic; 30.03.2020 - 03.04.2020; in: "Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC ´20)", ACM, (2020), ISBN: 9781450368667; S. 706 - 713.
    
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20. A. Schindler, P. Knees:
    "Multi-Task Music Representation Learning from Multi-Label Embeddings";
    Vortrag: 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland; 04.09.2019 - 06.09.2019; in: "Proceedings of the 17th International Conference on Content-Based Multimedia Indexing (CBMI2019)", IEEE, (2019), ISBN: 978-1-7281-4673-7; S. 1 - 6.
    
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21. R. Vogl, M. Dorfer, P. Knees:
    "Drum transcription from polyphonic music with recurrent neural networks";
    Vortrag: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA; 05.03.2017 - 09.03.2017; in: "Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing", (2017), ISBN: 978-1-5090-4117-6; S. 201 - 205.
    
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22. R. Vogl, M. Dorfer, G. Widmer, P. Knees:
    "Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks";
    Vortrag: 18th International Society for Music Information Retrieval Conference, Suzhou, China; 23.10.2017 - 27.10.2017; in: "Proceedings of the 18th International Society for Music Information Retrieval Conference", (2017), ISBN: 978-981-11-5179-8; S. 150 - 157.
    
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23. 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 S.
    
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24. 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; 16.03.2019 - 20.03.2019; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; S. 91 - 92.
    
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25. 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; 23.09.2018 - 27.09.2018; in: "19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition", (2018), 5 S.
    
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26. 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; 15.05.2017 - 18.05.2017; in: "Proceedings of the 17th International Conference on New Interfaces for Musical Expression", (2017), S. 231 - 236.
    
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27. 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 S.
    
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28. R. Vogl, G. Widmer, P. Knees:
    "Towards Multi-Instrument Drum Transcription";
    Vortrag: 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal; 04.09.2018 - 08.09.2018; in: "Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18)", (2018), ISSN: 2413-6700; S. 57 - 64.
    
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1. 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, S. 347 - 349.
   
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2. 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 (Hrg.); CEUR-WS.org, 2018, 2 S.
   
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3. 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 (Hrg.); CEUR-WS.org, 2019, 2 S.
   
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1. C. Bauer, P. Knees:
   "Music Information Retrieval: Inside and Outside the Music";
   Vortrag: Ars Electronica 2019 - AIxMusic Matinée, Linz (eingeladen); 08.09.2019.
   
   
2. C. Bauer, P. Knees, R. Vogl, H. Raber:
   "Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How?";
   Vortrag: Ars Electronica 2019 - AIxMusic Workshops, Linz (eingeladen); 06.09.2019.
   
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3. S. Böck, M. Davies, P. Knees:
   "Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other";
   Vortrag: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 04.11.2019 - 08.11.2019; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), S. 486 - 493.
   
   Zusätzliche Informationen
   
   
4. 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; 23.09.2018 - 27.09.2018; in: "19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session", (2018), Paper-Nr. 32, 2 S.
   
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5. S. Hunold, A. Bhatele, G. Bosilca, P. Knees:
   "Predicting MPI Collective Communication Performance Using Machine Learning";
   Vortrag: IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan; 14.09.2020 - 17.09.2020; in: "Proceedings of the IEEE International Conference on Cluster Computing (IEEE Cluster 2020)", IEEE, (2020), ISBN: 978-1-7281-6678-0; S. 259 - 269.
   
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6. P. Knees:
   "A Proposal for a Neutral Music Recommender System";
   Vortrag: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 02.11.2019; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (Hrg.); (2019), S. 4 - 7.
   
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7. P. Knees:
   "An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair";
   Hauptvortrag: 6th Human-Computer Interaction Slovenia Conference (HCI-SI 2021), Koper, Slovenia (eingeladen); 08.11.2021; in: "Proceedings of the 6th Human-Computer Interaction Slovenia Conference", M. Tkalcic, V. Pejović, M. Kljun, K. Čopič Pucihar (Hrg.); CEUR-WS, 3054 (2021), ISSN: 1613-0073; S. 2.
   
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8. P. Knees:
   "Die perfekte Musikempfehlung - Perfekt für wen?";
   Vortrag: Future Music Camp 2019, Mannheim, Germany; 16.05.2019 - 17.05.2019.
   
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9. P. Knees:
   "Ethnomusicology meets Music Information Retrieval: Towards Automated Segmentation and Analysis";
   Vortrag: 2nd Workshop on Distributed Ethnomusicology data and MIR in the framework of ASEA-UNINET, Mahidol University, Bangkok, Thailand; 14.07.2019.
   
   
10. P. Knees:
    "From a Critical Take on Music Recommendation to Digital Humanism";
    Vortrag: Critical Perspectives on Data Science and Machine Learning, KTH Stockholm, Sweden (eingeladen); 13.11.2019.
    
    
11. P. Knees:
    "Introduction to Music Information Retrieval";
    Vortrag: Informatik BEGINNER's Day 2017, TU Wien; 02.10.2017.
    
    
12. P. Knees:
    "Introduction to Music Information Retrieval";
    Vortrag: Informatik BEGINNER's Day 2019, TU Wien; 01.10.2019.
    
    
13. P. Knees:
    "Introduction to Music Information Retrieval";
    Vortrag: 1st Workshop on Distributed Ethnomusicology Data and Music Information Retrieval, Mahidol University, Bangkok, Thailand; 28.01.2019 - 30.01.2019.
    
    
14. P. Knees:
    "Introduction to Music Information Retrieval and Music Content Analysis";
    Vortrag: Indonesian Summer School on Music Information Retrieval, Depok, Indonesia; 14.08.2017 - 18.08.2017.
    
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15. P. Knees:
    "Künstliche Intelligenz als personalisierter Komponist - Automatische Musikerzeugung als das Ende der Tantiemen?";
    Vortrag: Future Music Camp 2018, Mannheim, Germany; 26.04.2018 - 27.04.2018.
    
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16. P. Knees:
    "Me, Myself & A.I.";
    Vortrag: Werbeplanung.at Summit 2017, Vienna (eingeladen); 03.07.2017 - 05.07.2017.
    
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17. P. Knees:
    "Music and Sound Recommendation for Listeners and Creators";
    Vortrag: eBusiness in the Creative Industries, University of Vienna (eingeladen); 15.05.2018.
    
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18. P. Knees:
    "Music Information Retrieval for Building Intelligent Music Creation Tools";
    Vortrag: Interactive Music Technologies, St. Gilgen (eingeladen); 23.01.2020.
    
    
19. P. Knees:
    "Music Retrieval and Recommendation: Applications in Music Creation and Collaboration";
    Vortrag: 3rd Berlin Music Information Retrieval Meetup, Berlin, Germany (eingeladen); 15.05.2017.
    
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20. P. Knees:
    "Nachvollziehbare KI";
    Vortrag: Digitale Kompetenzen @ Parlament, Wien; 14.06.2021 - 24.09.2021.
    
    
21. P. Knees:
    "Neutrality and Fairness in Music Recommendation: A Matter of Digital Humanism";
    Vortrag: Georgia Tech Center for Music Technology Seminar Series, Georgia Institute of Technology (eingeladen); 31.08.2020.
    
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22. P. Knees:
    "New Intelligent Tools in Music Creation? A Case for User-Centric Research";
    Vortrag: User Experience Design, Jönköping University, Sweden (eingeladen); 23.09.2019.
    
    
23. P. Knees:
    "On Stakeholders and Data Biases in Music Recommendation";
    Vortrag: Media Technology and Interaction Design Seminar, KTH Stockholm, Sweden (eingeladen); 25.09.2019.
    
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24. P. Knees:
    "Selected Topics in Music Recommendation";
    Vortrag: E-Commerce Research Seminar for Ph.D. Students 2018W, TU Wien (eingeladen); 22.11.2018.
    
    
25. P. Knees:
    "Towards Recommender Systems for Music Creators";
    Vortrag: HCI Lunchtime Scientific Series, TU Wien; 14.01.2019.
    
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26. P. Knees:
    "Towards Visual Approaches to Audio Retrieval in Creative Music Production";
    Vortrag: Guest Lecture, Chulalongkorn University, Bangkok, Thailand (eingeladen); 17.02.2017.
    
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27. P. Knees:
    "Towards Visual Interfaces to Sound and Music Retrieval";
    Vortrag: National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan (eingeladen); 12.03.2018.
    
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28. P. Knees, K. Andersen:
    "Building Physical Props for Imagining Future Recommender Systems";
    Vortrag: 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, Limassol, Cyprus; 13.03.2017; 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; S. 39 - 43.
    
    Zusätzliche Informationen
    
    
29. P. Knees, C. Bauer, E. Lex, D. Sacharidis, M. Tkalcic:
    "Panel on: Human-centered AI - Are we there yet?";
    Vortrag: 5th HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory, College Station, TX, USA (eingeladen); 13.04.2021.
    
    
30. 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; 16.09.2019 - 20.09.2019; in: "Proceedings of the 13th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2019), ISBN: 9781450362436; S. 570 - 571.
    
    Zusätzliche Informationen
    
    
31. P. Knees, M. Hübler:
    "Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists";
    Vortrag: 1st Workshop on Designing Human-Centric Music Information Research Systems, Delft, The Netherlands; 02.11.2019; in: "Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems", M. Miron (Hrg.); (2019), S. 19 - 22.
    
    Zusätzliche Informationen
    
    
32. P. Knees, M. Schedl, R. Fiebrink:
    "Intelligent Music Interfaces for Listening and Creation";
    Vortrag: 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA; 16.03.2019 - 20.03.2019; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; S. 135 - 136.
    
    Zusätzliche Informationen
    
    
33. P. Knees, M. Schedl, M. Goto:
    "Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come";
    Vortrag: 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands; 04.11.2019 - 08.11.2019; in: "Proceedings of the 20th International Society for Music Information Retrieval Conference", (2019), S. 44 - 53.
    
    Zusätzliche Informationen
    
    
34. P. Knees, R. Vogl:
    "Music Information Retrieval for Creative Audio Production";
    Poster: i²c Networking Friday 2017, TU Wien; 24.03.2017.
    
    
35. P. Knees, C. Wasner, B. Krenn:
    "Artificial Intelligence and the Future of Business";
    Vortrag: Vienna International Business Club, Expat Center of the Vienna Business Agency (eingeladen); 12.02.2019.
    
    
36. T. Krismayer, M. Schedl, P. Knees, R. Rabiser:
    "Prediction of User Demographics from Music Listening Habits";
    Vortrag: 15th International Workshop on Content-Based Multimedia Indexing, Florenz, Italien; 19.06.2017 - 21.06.2017; in: "Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-5333-5; S. 8:1 - 8:7.
    
    Zusätzliche Informationen
    
    
37. H. Pálmason, B. Jónsson, L. Amsaleg, M. Schedl, P. Knees:
    "On Competitiveness of Nearest-Neighbor Based Music Classification: A Methodological Critique";
    Vortrag: 10th International Conference on Similarity Search and Applications, Munich, Germany; 04.10.2017 - 06.10.2017; in: "Similarity Search and Applications", C. Beeck, F. Borutta, P. Kröger, T. Seidl (Hrg.); Lecture Notes in Computer Science, Springer, 10609 (2017), ISBN: 978-3-319-68473-4; S. 275 - 283.
    
    Zusätzliche Informationen
    
    
38. H. Pálmason, B. Jónsson, M. Schedl, P. Knees:
    "Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts";
    Vortrag: 13th International Symposium on Computer Music Multidisciplinary Research, Matosinhos, Portugal; 25.09.2017 - 28.09.2017; in: "Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research", R. Kronland-Martinet, S. Ystad, M. Aramaki (Hrg.); Les éditions de PRISM, Marseille, France (2017), S. 45 - 56.
    
    Zusätzliche Informationen
    
    
39. H. Sağlam, A. Hofmann, A. Ahmedaja, T. Miksa, P. Knees:
    "Towards an alliance for distributed music data?";
    Vortrag: 45th International Council for Traditional Music World Conference, Bangkok, Thailand; 11.07.2019 - 17.07.2019.
    
    Zusätzliche Informationen
    
    
40. M. Schedl, P. Knees, F. Gouyon:
    "New Paths in Music Recommender Systems Research";
    Vortrag: 11th ACM Conference on Recommender Systems, Como, Italien; 27.08.2017 - 31.08.2017; in: "Proceedings of the 11th ACM Conference on Recommender Systems", ACM, New York, NY, USA (2017), ISBN: 978-1-4503-4652-8; S. 392 - 393.
    
    Zusätzliche Informationen
    
    
41. M. Schedl, P. Knees, F. Gouyon:
    "Overview and New Challenges of Music Recommendation Research in 2018";
    Vortrag: 19th International Society for Music Information Retrieval Conference, Paris, France; 23.09.2018 - 27.09.2018.
    
    Zusätzliche Informationen
    
    
42. M. Schedl, F. Lemmerich, B. Ferwerda, M. Skowron, P. Knees:
    "Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors";
    Vortrag: 2017 IEEE International Symposium on Multimedia, Taichung, Taiwan; 11.12.2017 - 13.12.2017; in: "Proceedings of the 2017 IEEE International Symposium on Multimedia", IEEE, (2017), ISBN: 978-1-5386-2937-6; S. 308 - 311.
    
    Zusätzliche Informationen
    
    
43. M. Schedl, M. Mayr, P. Knees:
    "Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access";
    Vortrag: 2020 International Conference on Multimedia Retrieval (ICMR ´20), Dublin, Ireland; 26.10.2020 - 29.10.2020; in: "Proceedings of the 2020 International Conference on Multimedia Retrieval", ACM, 6 (2020), ISBN: 9781450370875; S. 388 - 392.
    
    Zusätzliche Informationen
    
    
44. A. Schindler, S. Gordea, P. Knees:
    "Unsupervised cross-modal audio representation learning from unstructured multilingual text";
    Vortrag: 35th Annual ACM Symposium on Applied Computing (SAC ´20), Brno, Czech Republic; 30.03.2020 - 03.04.2020; in: "Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC ´20)", ACM, (2020), ISBN: 9781450368667; S. 706 - 713.
    
    Zusätzliche Informationen
    
    
45. A. Schindler, P. Knees:
    "Multi-Task Music Representation Learning from Multi-Label Embeddings";
    Vortrag: 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland; 04.09.2019 - 06.09.2019; in: "Proceedings of the 17th International Conference on Content-Based Multimedia Indexing (CBMI2019)", IEEE, (2019), ISBN: 978-1-7281-4673-7; S. 1 - 6.
    
    Zusätzliche Informationen
    
    
46. R. Vogl, M. Dorfer, P. Knees:
    "Drum transcription from polyphonic music with recurrent neural networks";
    Vortrag: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA; 05.03.2017 - 09.03.2017; in: "Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing", (2017), ISBN: 978-1-5090-4117-6; S. 201 - 205.
    
    Zusätzliche Informationen
    
    
47. R. Vogl, M. Dorfer, G. Widmer, P. Knees:
    "Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks";
    Vortrag: 18th International Society for Music Information Retrieval Conference, Suzhou, China; 23.10.2017 - 27.10.2017; in: "Proceedings of the 18th International Society for Music Information Retrieval Conference", (2017), ISBN: 978-981-11-5179-8; S. 150 - 157.
    
    Zusätzliche Informationen
    
    
48. 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; 16.03.2019 - 20.03.2019; in: "Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion", ACM, New York, NY, USA (2019), ISBN: 9781450366731; S. 91 - 92.
    
    Zusätzliche Informationen
    
    
49. 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; 23.09.2018 - 27.09.2018; in: "19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition", (2018), 5 S.
    
    Zusätzliche Informationen
    
    
50. 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; 15.05.2017 - 18.05.2017; in: "Proceedings of the 17th International Conference on New Interfaces for Musical Expression", (2017), S. 231 - 236.
    
    Zusätzliche Informationen
    
    
51. R. Vogl, G. Widmer, P. Knees:
    "Towards Multi-Instrument Drum Transcription";
    Vortrag: 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal; 04.09.2018 - 08.09.2018; in: "Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18)", (2018), ISSN: 2413-6700; S. 57 - 64.
    
    Zusätzliche Informationen
    
    

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

1. R. Vogl:
   "Deep Learning Methods for Drum Transcription and Drum Pattern Generation";
   Betreuer/in(nen), Begutachter/in(nen): G. Widmer, P. Knees, M. Davies; Johannes Kepler University Linz, 2018.
   
   Zusätzliche Informationen
   
   

1. M. Aigner:
   "Extraction of Tabular Information from PDF Documents - A graph-based Approach";
   Betreuer/in(nen): P. Knees, F. Preis; Institut für Information Systems Engineering, 2020; Abschlussprüfung: 16.11.2020.
   
   Zusätzliche Informationen
   
   
2. M. Gabriel:
   "Distributed Factorization Machines for Next-Track Music Recommendation";
   Betreuer/in(nen): P. Knees; Institut für Information Systems Engineering, 2020; Abschlussprüfung: 04.06.2020.
   
   Zusätzliche Informationen
   
   
3. D. Gradinariu:
   "On Multilingual Natural Language Processing for Social Media Engagement Prediction";
   Betreuer/in(nen): P. Knees; Institut für Information Systems Engineering, 2020; Abschlussprüfung: 13.01.2021.
   
   Zusätzliche Informationen
   
   
4. M. Lepadat:
   "Rule-based Recommender for Feature Engineering in Big Data";
   Betreuer/in(nen): A. Tjoa, E. Kiesling, P. Knees; Techniche Universität Wien, 2019; Abschlussprüfung: 05.06.2019.
   
   Zusätzliche Informationen
   
   
5. G. Marzorati:
   "An Investigation of Piano Transcription Algorithm for Jazz Music";
   Betreuer/in(nen): F. Antonacci, P. Knees, R. Vogl; Politecnico di Milano, Italy, 2018.
   
   Zusätzliche Informationen
   
   
6. I. Mikusová:
   "Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN";
   Betreuer/in(nen): P. Knees, B. Maass, C. Herbst; Institut für Information Systems Engineering, 2022; Abschlussprüfung: 10.01.2022.
   
   Zusätzliche Informationen