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Schedl, Markus
 


Results 1-20 of 21 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Ganhör, Christian ; Penz, David ; Rekabsaz, Navid ; Lesota, Oleg ; Schedl, Markus Unlearning Protected User Attributes in Recommendations with Adversarial TrainingInproceedings Konferenzbeitrag Jul-2022
2Melchiorre, Alessandro Benedetto ; Penz, David ; Ganhör, Christian ; Lesota, Oleg ; Fragoso, Vasco ; Friztl, Florian ; Parada-Cabaleiro, Emilia ; Schubert, Franz ; Schedl, Markus EmoMTB: Emotion-aware Music Tower BlocksInproceedings Konferenzbeitrag Jun-2022
3Schedl, Markus ; Brandl, Stefan ; Lesota, Oleg ; Parada-Cabaleiro, Emilia ; Penz, David ; Rekabsaz, Navid LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness AnalysisKonferenzbeitrag Inproceedings 2022
4Krauck, Alexander ; Penz, David ; Schedl, Markus Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User FeaturesKonferenzbeitrag Inproceedings 2021
5Schedl, Markus ; Mayr, Michael ; Knees, Peter Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music AccessKonferenzbeitrag Inproceedings 2020
6Knees, Peter ; Schedl, Markus ; Goto, Masataka Intelligent User Interfaces for Music DiscoveryArtikel Article 2020
7Tkalčič, Marko ; Schedl, Markus ; Knees, Peter Preface to the Special Issue on User Modeling for Personalized Interaction with MusicArtikel Article2020
8Knees, Peter ; Schedl, Markus ; Fiebrink, Rebecca Intelligent music interfaces for listening and creationKonferenzbeitrag Inproceedings 2019
9Knees, Peter ; Schedl, Markus ; Fiebrink, Rebecca Preface to the 2nd Workshop on Intelligent Music Interfaces for Listening and Creation (MILC)Konferenzbeitrag Inproceedings2019
10Krismayer, Thomas ; Schedl, Markus ; Knees, Peter ; Rabiser, Rick Predicting user demographics from music listening informationArtikel Article 2019
11Knees, Peter ; Schedl, Markus ; Goto, Masataka Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to ComeKonferenzbeitrag Inproceedings 2019
12Knees, Peter ; Schedl, Markus ; Ferwerda, Bruce ; Laplante, Audrey 9. User awareness in music recommender systemsBuchbeitrag Book Contribution 2019
13Schedl, Markus ; Knees, Peter ; Gouyon, Fabien Overview and New Challenges of Music Recommendation Research in 2018Präsentation Presentation2018
14Pálmason, Haukur ; Jónsson, Björn Þór ; Schedl, Markus ; Knees, Peter Music Genre Classification Revisited: An In-Depth Examination Guided by Music ExpertsKonferenzbeitrag Inproceedings 2018
15Deldjoo, Yashar ; Schedl, Markus ; Hidasi, Balázs ; Knees, Peter Multimedia recommender systemsKonferenzbeitrag Inproceedings 2018
16Knees, Peter ; Schedl, Markus ; Fiebrink, Rebecca IUI'18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC)Konferenzbeitrag Inproceedings2018
17Krismayer, Thomas ; Schedl, Markus ; Knees, Peter ; Rabiser, Rick Prediction of User Demographics from Music Listening HabitsKonferenzbeitrag Inproceedings 2017
18Schedl, Markus ; Knees, Peter ; Gouyon, Fabien New Paths in Music Recommender Systems ResearchKonferenzbeitrag Inproceedings 2017
19Schedl, Markus ; Lemmerich, Florian ; Ferwerda, Bruce ; Skowron, Marcin ; Knees, Peter Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic FactorsKonferenzbeitrag Inproceedings 2017
20Pálmason, Haukur ; Jónsson, Björn Þór ; Amsaleg, Laurent ; Schedl, Markus ; Knees, Peter On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological CritiqueKonferenzbeitrag Inproceedings 2017



Results 1-1 of 1 (Search time: 0.001 seconds).

PreviewEditor(s)TitleTypeIssue Date
1Tkalcic, Marko ; Schedl, Markus ; Knees, Peter Special Issue on User Modeling for Personalized Interaction with MusicBuch Book2020