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

• Humans and Recommender Systems: Towards Mutual Understanding
  2021 – 2024 / Austrian Science Fund (FWF) / Publications: 149472, 149490
• Digital Humanism Roadmap: Chancen an der Schnittstelle von Innovation und Forschung
  2021 – 2023 / Vienna Business Agency (WAW) / Publications: 149548, 149554
• 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: 152403, 60509, 60821, 60823, 60825, 60829, 60833, 60981, 60982, 61245, 61246, 61247, 61412, 61416, 61443, 91410, 91584

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2023

• Digital Humanism: The Time Is Now / Werthner, H., Stanger, A., Schiaffonati, V., Knees, P., Hardman, L., & Ghezzi, C. (2023). Digital Humanism: The Time Is Now. Computer, 56(1), 138–142. https://doi.org/10.1109/MC.2022.3219528 / Project: DigHum Roadmap

2022

• Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact / Knees, P., Ferraro, A., & Hübler, M. (2022). Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. In H. Abdollahpouri, S. Sahebi, M. Elahi, M. Mansoury, B. Loni, Z. Nazari, & M. Dimakopoulou (Eds.), MORS 2022. Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems, co-located with 16th ACM Conference on Recommender Systems (RecSys 2022. CEUR-WS.org. https://doi.org/10.34726/3723 / Project: HumRec
• Music Information Retrieval and Recommendation: Recent and Future Developments / Knees, P. (2022, August 22). Music Information Retrieval and Recommendation: Recent and Future Developments [Presentation]. Georgia Tech Center for Music Technology Seminar Series, Atlanta, GA, United States of America (the).
• ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors / Prvulovic, D., Vogl, R., & Knees, P. (2022). ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors. In A. Bellogin, L. Boratto, O. C. Santos, L. Ardissono, & B. Knijnenburg (Eds.), Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 63–66). Association for Computing Machinery. https://doi.org/10.1145/3511047.3536412 / Project: HumRec
• Scaling Up Broken Systems? Considerations from the Area of Music Streaming / Knees, P. (2022). Scaling Up Broken Systems? Considerations from the Area of Music Streaming. In H. Werthner, E. Prem, E. A. Lee, & C. Ghezzi (Eds.), Perspectives on Digital Humanism (pp. 165–171). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-86144-5_23

2021

• Machine Learning Applied to Music/Audio Signal Processing / Lerch, A., & Knees, P. (2021). Machine Learning Applied to Music/Audio Signal Processing. Electronics, 10(24), 3077. https://doi.org/10.3390/electronics10243077
• Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval / Hofmann, A., Miksa, T., Knees, P., Bakos, A., Sağlam, H., Ahmedaja, A., Yimwadsana, B., Chan, C., & Rauber, A. (2021). Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval. Empirical Musicology Review, 16(1), 47–64. https://doi.org/10.18061/emr.v16i1.7632
• Nachvollziehbare KI / Knees, P. (2021). Nachvollziehbare KI. Digitale Kompetenzen @ Parlament, Wien, Austria. http://hdl.handle.net/20.500.12708/87300
• Panel on: Human-centered AI - Are we there yet? / Knees, P., Bauer, C., Lex, E., Sacharidis, D., & Tkalcic, M. (2021). Panel on: Human-centered AI - Are we there yet? 5th HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory, College Station, TX, USA, International. http://hdl.handle.net/20.500.12708/87299
• An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair / Knees, P. (2021). An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair. In M. Tkalcic, V. Pejović, M. Kljun, & K. Čopič Pucihar (Eds.), Proceedings of the 6th Human-Computer Interaction Slovenia Conference (p. 2). CEUR-WS. http://hdl.handle.net/20.500.12708/58756
• Datengestützte Empfehlungssysteme – Kuratiertes Musikangebot. / Knees, P. (2021). Datengestützte Empfehlungssysteme – Kuratiertes Musikangebot. In H. Wandjo & A. Endreß (Eds.), Musikwirtschaft im Zeitalter der Digitalisierung (pp. 419–432). Nomos Verlagsgesellschaft mbH & Co. KG. https://doi.org/10.5771/9783845276939-419
• Special Issue "Machine Learning Applied to Music/Audio Signal Processing" / Lerch, A., & Knees, P. (Eds.). (2021). Special Issue “Machine Learning Applied to Music/Audio Signal Processing.” MDPI. http://hdl.handle.net/20.500.12708/24931

2020

• Preface to the Special Issue on User Modeling for Personalized Interaction with Music / Tkalčič, M., Schedl, M., & Knees, P. (2020). Preface to the Special Issue on User Modeling for Personalized Interaction with Music. User Modeling and User-Adapted Interaction, 30(2), 195–198. https://doi.org/10.1007/s11257-020-09264-6
• Intelligent User Interfaces for Music Discovery / Knees, P., Schedl, M., & Goto, M. (2020). Intelligent User Interfaces for Music Discovery. Transactions of the International Society for Music Information Retrieval, 3(1), 165–179. https://doi.org/10.5334/tismir.60
• Information retrieval and recommender systems for music listening and creation / Knees, P. (2020). Information retrieval and recommender systems for music listening and creation [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158884
• Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019 / Adamczak, J., Deldjoo, Y., Moghaddam, F. B., Knees, P., Leyson, G.-P., & Monreal, P. (2020). Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. ACM Transactions on Intelligent Systems and Technology, 12(1), 1–20. https://doi.org/10.1145/3412379
• Neutrality and Fairness in Music Recommendation: A Matter of Digital Humanism / Knees, P. (2020). Neutrality and Fairness in Music Recommendation: A Matter of Digital Humanism. Georgia Tech Center for Music Technology Seminar Series, Georgia Institute of Technology, Non-EU. http://hdl.handle.net/20.500.12708/87097
• Music Information Retrieval for Building Intelligent Music Creation Tools / Knees, P. (2020). Music Information Retrieval for Building Intelligent Music Creation Tools. Interactive Music Technologies, St. Gilgen, Austria. http://hdl.handle.net/20.500.12708/87056
• Predicting MPI Collective Communication Performance Using Machine Learning / Hunold, S., Bhatele, A., Bosilca, G., & Knees, P. (2020). Predicting MPI Collective Communication Performance Using Machine Learning. In 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan, Non-EU. IEEE. https://doi.org/10.1109/cluster49012.2020.00036
• Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access / Schedl, M., Mayr, M., & Knees, P. (2020). Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access. In Proceedings of the 2020 International Conference on Multimedia Retrieval. 2020 International Conference on Multimedia Retrieval (ICMR ´20), Dublin, Ireland, EU. ACM. https://doi.org/10.1145/3372278.3391928
• Unsupervised cross-modal audio representation learning from unstructured multilingual text / Schindler, A., Gordea, S., & Knees, P. (2020). Unsupervised cross-modal audio representation learning from unstructured multilingual text. In Proceedings of the 35th Annual ACM Symposium on Applied Computing. 35th Annual ACM Symposium on Applied Computing (SAC ´20), Brno, Czech Republic, EU. ACM. https://doi.org/10.1145/3341105.3374114
• The ACM Multimedia 2020 Interactive Arts Exhibition: Human and AI Generated Multimedia / Knees, P., & Gan, Z. (Eds.). (2020). The ACM Multimedia 2020 Interactive Arts Exhibition: Human and AI Generated Multimedia. GitHub. http://hdl.handle.net/20.500.12708/24762
• Special Issue on User Modeling for Personalized Interaction with Music / Tkalcic, M., Schedl, M., & Knees, P. (Eds.). (2020). Special Issue on User Modeling for Personalized Interaction with Music. Springer Nature Switzerland AG. http://hdl.handle.net/20.500.12708/24932

2019

• Predicting user demographics from music listening information / Krismayer, T., Schedl, M., Knees, P., & Rabiser, R. (2019). Predicting user demographics from music listening information. Multimedia Tools and Applications, 78(3), 2897–2920. https://doi.org/10.1007/s11042-018-5980-y / Project: SmarterJam
• Towards an alliance for distributed music data? / Sağlam, H., Hofmann, A., Ahmedaja, A., Miksa, T., & Knees, P. (2019). Towards an alliance for distributed music data? 45th International Council for Traditional Music World Conference, Bangkok, Thailand, Non-EU. http://hdl.handle.net/20.500.12708/87007
• On Stakeholders and Data Biases in Music Recommendation / Knees, P. (2019). On Stakeholders and Data Biases in Music Recommendation. Media Technology and Interaction Design Seminar, KTH Stockholm, Sweden, EU. http://hdl.handle.net/20.500.12708/87011
• From a Critical Take on Music Recommendation to Digital Humanism / Knees, P. (2019). From a Critical Take on Music Recommendation to Digital Humanism. Critical Perspectives on Data Science and Machine Learning, KTH Stockholm, Sweden, EU. http://hdl.handle.net/20.500.12708/87012
• New Intelligent Tools in Music Creation? A Case for User-Centric Research / Knees, P. (2019). New Intelligent Tools in Music Creation? A Case for User-Centric Research. User Experience Design, Jönköping University, Sweden, EU. http://hdl.handle.net/20.500.12708/87010
• Music Information Retrieval: Inside and Outside the Music / Bauer, C., & Knees, P. (2019). Music Information Retrieval: Inside and Outside the Music. Ars Electronica 2019 - AIxMusic Matinée, Linz, Austria. http://hdl.handle.net/20.500.12708/87009
• Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How? / Bauer, C., Knees, P., Vogl, R., & Raber, H. (2019). Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How? Ars Electronica 2019 - AIxMusic Workshops, Linz, Austria. http://hdl.handle.net/20.500.12708/87008
• Ethnomusicology meets Music Information Retrieval: Towards Automated Segmentation and Analysis / Knees, P. (2019). Ethnomusicology meets Music Information Retrieval: Towards Automated Segmentation and Analysis. 2nd Workshop on Distributed Ethnomusicology data and MIR in the framework of ASEA-UNINET, Mahidol University, Bangkok, Thailand, Non-EU. http://hdl.handle.net/20.500.12708/87006
• Die perfekte Musikempfehlung - Perfekt für wen? / Knees, P. (2019). Die perfekte Musikempfehlung - Perfekt für wen? Future Music Camp 2019, Mannheim, Germany, EU. http://hdl.handle.net/20.500.12708/87005
• Artificial Intelligence and the Future of Business / Knees, P., Wasner, C., & Krenn, B. (2019). Artificial Intelligence and the Future of Business. Vienna International Business Club, Expat Center of the Vienna Business Agency, Austria. http://hdl.handle.net/20.500.12708/87004
• Introduction to Music Information Retrieval / Knees, P. (2019). Introduction to Music Information Retrieval. 1st Workshop on Distributed Ethnomusicology Data and Music Information Retrieval, Mahidol University, Bangkok, Thailand, Non-EU. http://hdl.handle.net/20.500.12708/87003
• Towards Recommender Systems for Music Creators / Knees, P. (2019). Towards Recommender Systems for Music Creators. HCI Lunchtime Scientific Series, TU Wien, Austria. http://hdl.handle.net/20.500.12708/87002
• Introduction to Music Information Retrieval / Knees, P. (2019). Introduction to Music Information Retrieval. Informatik BEGINNER’s Day 2019, TU Wien, Austria. http://hdl.handle.net/20.500.12708/87001
• RecSys Challenge '19: Proceedings of the Workshop on ACM Recommender Systems Challenge / Knees, P., Deldjoo, Y., Bakhshandegan Moghaddam, F., Adamczak, J., Leyson, G.-P., & Monreal, P. (Eds.). (2019). RecSys Challenge ’19: Proceedings of the Workshop on ACM Recommender Systems Challenge. ACM. https://doi.org/10.1145/3359555
• Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come / Knees, P., Schedl, M., & Goto, M. (2019). Intelligent User Interfaces for Music Discovery: The Past 20 Years and What’s to Come. In Proceedings of the 20th International Society for Music Information Retrieval Conference (pp. 44–53). https://doi.org/10.5281/zenodo.3527737
• Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other / Böck, S., Davies, M., & Knees, P. (2019). Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. In Proceedings of the 20th International Society for Music Information Retrieval Conference (pp. 486–493). https://doi.org/10.5281/zenodo.3527849
• A Proposal for a Neutral Music Recommender System / Knees, P. (2019). A Proposal for a Neutral Music Recommender System. In M. Miron (Ed.), Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems (pp. 4–7). http://hdl.handle.net/20.500.12708/58098
• Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists / Knees, P., & Hübler, M. (2019). Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists. In M. Miron (Ed.), Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems (pp. 19–22). http://hdl.handle.net/20.500.12708/58097
• RecSys challenge 2019 / Knees, P., Deldjoo, Y., Moghaddam, F. B., Adamczak, J., Leyson, G.-P., & Monreal, P. (2019). RecSys challenge 2019. In Proceedings of the 13th ACM Conference on Recommender Systems. 13th ACM Conference on Recommender Systems, Copenhagen, Denmark, EU. ACM. https://doi.org/10.1145/3298689.3346974
• Multi-Task Music Representation Learning from Multi-Label Embeddings / Schindler, A., & Knees, P. (2019). Multi-Task Music Representation Learning from Multi-Label Embeddings. In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, EU. IEEE. https://doi.org/10.1109/cbmi.2019.8877462
• Intelligent music interfaces for listening and creation / Knees, P., Schedl, M., & Fiebrink, R. (2019). Intelligent music interfaces for listening and creation. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA, Non-EU. ACM. https://doi.org/10.1145/3308557.3313110
• Preface to the 2nd Workshop on Intelligent Music Interfaces for Listening and Creation (MILC) / Knees, P., Schedl, M., & Fiebrink, R. (2019). Preface to the 2nd Workshop on Intelligent Music Interfaces for Listening and Creation (MILC). In C. Trattner, D. Parra, & N. Riche (Eds.), Joint Proceedings of the ACM IUI 2019 Workshops (p. 2). CEUR-WS.org. http://hdl.handle.net/20.500.12708/58093
• An automatic drum machine with touch UI based on a generative neural network / Vogl, R., Eghbal-Zadeh, H., & Knees, P. (2019). An automatic drum machine with touch UI based on a generative neural network. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. 24th International Conference on Intelligent User Interfaces, Marina del Rey, CA, USA, Non-EU. ACM. https://doi.org/10.1145/3308557.3308673
• 9. User awareness in music recommender systems / Knees, P., Schedl, M., Ferwerda, B., & Laplante, A. (2019). 9. User awareness in music recommender systems. In M. Augstein, E. Herder, & W. Wörndl (Eds.), Personalized Human-Computer Interaction (pp. 223–252). DeGruyter. https://doi.org/10.1515/9783110552485-009

2018

• Selected Topics in Music Recommendation / Knees, P. (2018). Selected Topics in Music Recommendation. E-Commerce Research Seminar for Ph.D. Students 2018W, TU Wien, Austria. http://hdl.handle.net/20.500.12708/86815
• Music and Sound Recommendation for Listeners and Creators / Knees, P. (2018). Music and Sound Recommendation for Listeners and Creators. eBusiness in the Creative Industries, University of Vienna, Austria. http://hdl.handle.net/20.500.12708/86813
• Künstliche Intelligenz als personalisierter Komponist - Automatische Musikerzeugung als das Ende der Tantiemen? / Knees, P. (2018). Künstliche Intelligenz als personalisierter Komponist - Automatische Musikerzeugung als das Ende der Tantiemen? Future Music Camp 2018, Mannheim, Germany, EU. http://hdl.handle.net/20.500.12708/86812
• Towards Visual Interfaces to Sound and Music Retrieval / Knees, P. (2018). Towards Visual Interfaces to Sound and Music Retrieval. National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, Non-EU. http://hdl.handle.net/20.500.12708/86811
• Overview and New Challenges of Music Recommendation Research in 2018 / Schedl, M., Knees, P., & Gouyon, F. (2018). Overview and New Challenges of Music Recommendation Research in 2018. 19th International Society for Music Information Retrieval Conference, Paris, France, EU. http://hdl.handle.net/20.500.12708/86810 / Project: SmarterJam
• Multimedia recommender systems / Deldjoo, Y., Schedl, M., Hidasi, B., & Knees, P. (2018). Multimedia recommender systems. In Proceedings of the 12th ACM Conference on Recommender Systems. ACM, Austria. ACM. https://doi.org/10.1145/3240323.3241620 / Project: SmarterJam
• IUI'18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC) / Knees, P., Schedl, M., & Fiebrink, R. (2018). IUI’18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC). In A. Said & T. Komatsu (Eds.), Joint Proceedings of the ACM IUI 2018 Workshops (p. 2). CEUR-WS.org. http://hdl.handle.net/20.500.12708/57621
• Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts / Pálmason, H., Jónsson, B. Þ., Schedl, M., & Knees, P. (2018). Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts. In M. Aramaki, M. Davies, R. Kronland-Martinet, & S. Ystad (Eds.), Music Technology with Swing (pp. 49–62). Springer. https://doi.org/10.1007/978-3-030-01692-0_4 / Project: SmarterJam
• GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves / Vogl, R., Eghbal-Zadeh, H., Widmer, G., & Knees, P. (2018). GANs and Poses: An Interactive Generative Music Installation Controlled by Dance Moves. In 19th International Society for Music Information Retrieval Conference: Interactive Machine-Learning for Music @Exhibition (p. 5). http://hdl.handle.net/20.500.12708/57453 / Project: SmarterJam
• A GAN based Drum Pattern Generation UI Prototype / Eghbal-Zadeh, H., Vogl, R., Widmer, G., & Knees, P. (2018). A GAN based Drum Pattern Generation UI Prototype. In 19th International Society for Music Information Retrieval Conference: Late-Breaking Demos Session (p. 2). http://hdl.handle.net/20.500.12708/57452 / Project: SmarterJam
• Towards Multi-Instrument Drum Transcription / Vogl, R., Widmer, G., & Knees, P. (2018). Towards Multi-Instrument Drum Transcription. In Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18) (pp. 57–64). http://hdl.handle.net/20.500.12708/57451 / Project: SmarterJam
• MIREX Submission for Drum Transcription 2018 / Vogl, R., & Knees, P. (2018). MIREX Submission for Drum Transcription 2018. In 14th Music Information Retrieval Evaluation eXchange (MIREX 2018) (p. 2). International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign. http://hdl.handle.net/20.500.12708/56721 / Project: SmarterJam

2017

• Music Information Retrieval for Creative Audio Production / Knees, P., & Vogl, R. (2017). Music Information Retrieval for Creative Audio Production. i2c Networking Friday 2017, TU Wien, Austria. http://hdl.handle.net/20.500.12708/86649
• Introduction to Music Information Retrieval / Knees, P. (2017). Introduction to Music Information Retrieval. Informatik BEGINNER’s Day 2017, TU Wien, Austria. http://hdl.handle.net/20.500.12708/86640
• Me, Myself & A.I. / Knees, P. (2017). Me, Myself & A.I. Werbeplanung.at Summit 2017, Vienna, Austria. http://hdl.handle.net/20.500.12708/86639
• Introduction to Music Information Retrieval and Music Content Analysis / Knees, P. (2017). Introduction to Music Information Retrieval and Music Content Analysis. Indonesian Summer School on Music Information Retrieval, Depok, Indonesia, Non-EU. http://hdl.handle.net/20.500.12708/86638
• Towards Visual Approaches to Audio Retrieval in Creative Music Production / Knees, P. (2017). Towards Visual Approaches to Audio Retrieval in Creative Music Production. Guest Lecture, Chulalongkorn University, Bangkok, Thailand, Non-EU. http://hdl.handle.net/20.500.12708/86637
• Music Retrieval and Recommendation: Applications in Music Creation and Collaboration / Knees, P. (2017). Music Retrieval and Recommendation: Applications in Music Creation and Collaboration. 3rd Berlin Music Information Retrieval Meetup, Berlin, Germany, EU. http://hdl.handle.net/20.500.12708/86636 / Project: SmarterJam
• MIREX Submission for Drum Transcription 2017 / Vogl, R., Dorfer, M., Widmer, G., & Knees, P. (2017). MIREX Submission for Drum Transcription 2017. In 13th Music Information Retrieval Evaluation eXchange (MIREX 2017) (p. 1). International Music Information Retrieval Systems Evaluation Laboratory, School of Information Sciences, University of Illinois at Urbana-Champaign. http://hdl.handle.net/20.500.12708/57649 / Project: SmarterJam
• Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors / Schedl, M., Lemmerich, F., Ferwerda, B., Skowron, M., & Knees, P. (2017). Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. In 2017 IEEE International Symposium on Multimedia (ISM). 2017 IEEE International Symposium on Multimedia, Taichung, Taiwan, Non-EU. IEEE. https://doi.org/10.1109/ism.2017.55
• UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems / Knees, P., Andersen, K., Said, A., & Tkalcic, M. (2017). 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. https://doi.org/10.1145/3099023.3099095
• On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique / Pálmason, H., Jónsson, B. Þ., Amsaleg, L., Schedl, M., & Knees, P. (2017). On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique. In C. Beeck, F. Borutta, P. Kröger, & T. Seidl (Eds.), Similarity Search and Applications (pp. 275–283). Lecture Notes in Computer Science, Springer. https://doi.org/10.1007/978-3-319-68474-1_19 / Project: SmarterJam
• Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts / Pálmason, H., Jónsson, B. T., Schedl, M., & Knees, P. (2017). Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts. In R. Kronland-Martinet, S. Ystad, & M. Aramaki (Eds.), Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (pp. 45–56). Les éditions de PRISM. http://hdl.handle.net/20.500.12708/57190 / Project: SmarterJam
• New Paths in Music Recommender Systems Research / Schedl, M., Knees, P., & Gouyon, F. (2017). New Paths in Music Recommender Systems Research. In Proceedings of the Eleventh ACM Conference on Recommender Systems. 11th ACM Conference on Recommender Systems, Como, Italien, EU. ACM. https://doi.org/10.1145/3109859.3109934 / Project: SmarterJam
• Prediction of User Demographics from Music Listening Habits / Krismayer, T., Schedl, M., Knees, P., & Rabiser, R. (2017). Prediction of User Demographics from Music Listening Habits. In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing. 15th International Workshop on Content-Based Multimedia Indexing, Florenz, Italien, EU. ACM. https://doi.org/10.1145/3095713.3095722
• Building Physical Props for Imagining Future Recommender Systems / Knees, P., & Andersen, K. (2017). Building Physical Props for Imagining Future Recommender Systems. In Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces. 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, Limassol, Cyprus, EU. ACM. https://doi.org/10.1145/3039677.3039682 / Project: SmarterJam
• Drum transcription from polyphonic music with recurrent neural networks / Vogl, R., Dorfer, M., & Knees, P. (2017). Drum transcription from polyphonic music with recurrent neural networks. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, Non-EU. https://doi.org/10.1109/icassp.2017.7952146 / Project: SmarterJam
• An Intelligent Drum Machine for Electronic Dance Music Production and Performance / Vogl, R., & Knees, P. (2017). An Intelligent Drum Machine for Electronic Dance Music Production and Performance. In Proceedings of the 17th International Conference on New Interfaces for Musical Expression (pp. 231–236). http://hdl.handle.net/20.500.12708/57033 / Project: SmarterJam
• Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks / Vogl, R., Dorfer, M., Widmer, G., & Knees, P. (2017). Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. In Proceedings of the 18th International Society for Music Information Retrieval Conference (pp. 150–157). http://hdl.handle.net/20.500.12708/57031 / Project: SmarterJam

2004

• Automatische Klassifikation von Musikkünstlern basierend auf Web-Daten

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

• Causality Prediction in a Cyber-Physical Energy System using Knowledge Graph Embeddings / Schreiberhuber, K. (2023). Causality Prediction in a Cyber-Physical Energy System using Knowledge Graph Embeddings [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102827
• A comparison of audio preprocessing methods for music autotagging using CNN-architectures / Damböck, M. (2022). A comparison of audio preprocessing methods for music autotagging using CNN-architectures [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.89400
• Analysing music collection datasets to investigate the impact of record labels on music recommender systems / Hübler, M. (2022). Analysing music collection datasets to investigate the impact of record labels on music recommender systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.98121
• Audio effect modeling with deep learning methods / Bognár, P. (2022). Audio effect modeling with deep learning methods [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.94860
• Estimating vocal tract resonances of synthesized high-pitched vowels using CNN / Mikušová, I. (2021). Estimating vocal tract resonances of synthesized high-pitched vowels using CNN [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.89401
• Extraction of tabular information from PDF documents : a graph-based approach / Aigner, M. B. (2020). Extraction of tabular information from PDF documents : a graph-based approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.79244
• On multilingual natural language processing for social media engagement prediction / Gradinariu, D. (2020). On multilingual natural language processing for social media engagement prediction [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78639
• Distributed factorization machines for next-track music recommendation / Gabriel, M. (2020). Distributed factorization machines for next-track music recommendation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.66381
• Rule-based recommender for feature engineering in big data / Lepadat, M.-A. (2019). Rule-based recommender for feature engineering in big data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.65802