2020W

• 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
• Project in Computer Science / 194.079 / PR
• Project in Computer Science 2 / 194.080 / PR
• Research seminar for PhD students / 188.081 / SE
• Seminar Media and Human-Centered Computing - Buidling Information Modelling / 193.038 / SE

2021S

• Advanced Information Retrieval / 188.980 / VU
• Bachelor Thesis / 188.919 / PR
• Data-intensive Computing / 194.048 / VU
• Project in Computer Science / 194.079 / PR
• Project in Computer Science 2 / 194.080 / PR
• Scientific Research and Writing / 193.052 / SE

• 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)

2020

• 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 / accepted for publication in Empirical Musicology Review
• Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access / M. Schedl, M. Mayr, P. Knees / accepted as talk for: 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, (2020), ISBN: 9781450370875
• 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
• 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

• On Multilingual Natural Language Processing for Social Media Engagement Prediction / Master Thesis by D. Gradinariu / Supervisor: P. Knees; Institut für Information Systems Engineering, 2020; final examination: 2021-01-13
• Extraction of Tabular Information from PDF Documents - A graph-based Approach / Master Thesis by M. Aigner / Supervisor: P. Knees, F. Preis; Institut für Information Systems Engineering, 2020; final examination: 2020-11-16
• Distributed Factorization Machines for Next-Track Music Recommendation / Master Thesis by M. Gabriel / Supervisor: P. Knees; Institut für Information Systems Engineering, 2020; final examination: 2020-06-04
• Rule-based Recommender for Feature Engineering in Big Data / Master Thesis by M. Lepadat / Supervisor: A. Tjoa, E. Kiesling, P. Knees; Techniche Universität Wien, 2019; final examination: 2019-06-05
• Deep Learning Methods for Drum Transcription and Drum Pattern Generation / Doctoral Thesis by R. Vogl / Supervisor, Reviewer: G. Widmer, P. Knees, M. Davies; Johannes Kepler University Linz, 2018
• An Investigation of Piano Transcription Algorithm for Jazz Music / Master Thesis by G. Marzorati / Supervisor: F. Antonacci, P. Knees, R. Vogl; Politecnico di Milano, Italy, 2018