Research output per year
Research output per year
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A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
Ganhör, C., Moscati, M., Hausberger, A., Nawaz, S. & Schedl, M., 2024, Proceedings of the 18th ACM Conference on Recommender Systems(RecSys), 2024. 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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A Synopsis of FAME 2024 Challenge: Associating Faces with Voicesin Multilingual Environments
Saeed, M. S., Nawaz, S., Moscati, M., Das, R. K., Tahir, M. S., Zaheer, M. Z., Liaquat, M. I., Khan, M. H., Nandakumar, K., Yousaf, M. H. & Schedl, M., 28 Oct 2024, Companion of the 32nd ACM International Conference on Multimedia(MM), 2024. p. 11333-11334 2 p. (MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Content-driven Music Recommendation: Evolution, State of the Art, and Challenges
Deldjoo, Y., Schedl, M. & Knees, P., Feb 2024, In: Computer Science Review. 51, 19 p., 100618.Research output: Contribution to journal › Review article › peer-review
Open Access -
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Masoudian, S., Volaucnik, C., Schedl, M. & Rekabsaz, N., Mar 2024, Proceedings of European Chapter of the Association for Computational Linguistics (EACL). 20 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Emotion-Based Music Recommendation from Quality Annotations andLarge-Scale User-Generated Tags
Moscati, M., Strauß, H., Jacobsen, P.-O., Peintner, A., Zangerle, E., Zentner, M. & Schedl, M., 2024, Proceedings of the 32nd ACM Conference on User Modeling,Adaptation and Personalization (UMAP), 2024. 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Cluster of Excellence "Bilateral Artificial Intelligence"
Fürnkranz, J. (PI), Hochreiter, S. (PI), Klambauer, G. (PI), Schedl, M. (PI), Seidl, M. (PI) & Widmer, G. (PI)
01.10.2024 → 30.09.2029
Project: Funded research › FWF - Austrian Science Fund
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Intent-aware Music Recommender Systems
Schedl, M. (PI)
01.08.2023 → 31.07.2027
Project: Funded research › FWF - Austrian Science Fund
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Fairness-aware Algorithimic Decision Support Systems
Schedl, M. (PI)
01.01.2023 → 31.12.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
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Certification Framework for Fair AI Systems
Schedl, M. (PI)
01.01.2023 → 31.12.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
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Human-centered Artificial Intelligence
Kotsis, G. (Researcher), Mara, M. (Researcher), Streit, M. (Researcher) & Schedl, M. (PI)
01.04.2022 → 31.03.2026
Project: Funded research › FWF - Austrian Science Fund
Activities
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Tastalyzer: Audiovisual exploration of urban and rural variations in music taste. Proceedings of the 27th ACM International Conference on Multimedia (ACMMM 2019)
Bauer, C. (Speaker), Schedl, M. (Speaker), Angerer, V. (Speaker) & Wegenkittl, S. (Speaker)
21 Oct 2019Activity: Talk or presentation › Poster presentation › science-to-science
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Conference on User Modelling, Adaptation, and Personalization (UMAP) (Event)
Schedl, M. (Chair)
01 Jan 2018 → 01 Aug 2018Activity: Membership/Function › Program committee
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Research Talk "Analyzing and Exploiting User-generated Listening Data for Listener Modeling and Music Recommendation
Schedl, M. (Speaker)
15 Nov 2017Activity: Talk or presentation › Invited talk › science-to-science
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11th ACM Conference on Recommender Systems
Schedl, M. (Other)
28 Aug 2017 → 07 Feb 2018Activity: Other
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Distance- and Rank-based Music Mainstreaminess Measurement
Schedl, M. (Speaker)
09 Jul 2017Activity: Talk or presentation › Contributed talk › science-to-science