Artykuły udostępnione publicznie: - Elisabeth LexWięcej informacji
Dostępne w jakimś miejscu: 52
The unfairness of popularity bias in music recommendation: A reproducibility study
D Kowald, M Schedl, E Lex
Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020
Upoważnienia: European Commission
Analyzing item popularity bias of music recommender systems: are different genders equally affected?
O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ...
Proceedings of the 15th ACM conference on recommender systems, 601-606, 2021
Upoważnienia: Austrian Science Fund, European Commission
A sliding window approach to natural hand gesture recognition using a custom data glove
G Luzhnica, J Simon, E Lex, V Pammer
2016 IEEE symposium on 3d user interfaces (3DUI), 81-90, 2016
Upoważnienia: European Commission
Zenodo in the spotlight of traditional and new metrics
I Peters, P Kraker, E Lex, C Gumpenberger, JI Gorraiz
Frontiers in research metrics and analytics 2, 13, 2017
Upoważnienia: German Research Foundation
Support the underground: characteristics of beyond-mainstream music listeners
D Kowald, P Muellner, E Zangerle, C Bauer, M Schedl, E Lex
EPJ Data Science 10 (1), 14, 2021
Upoważnienia: Austrian Science Fund
Listener modeling and context-aware music recommendation based on country archetypes
M Schedl, C Bauer, W Reisinger, D Kowald, E Lex
Frontiers in Artificial Intelligence 3, 508725, 2021
Upoważnienia: Austrian Science Fund, European Commission
Using autoencoders for session-based job recommendations
E Lacic, M Reiter-Haas, D Kowald, M Reddy Dareddy, J Cho, E Lex
User Modeling and User-Adapted Interaction 30, 617-658, 2020
Upoważnienia: US National Science Foundation
Modeling popularity and temporal drift of music genre preferences
E Lex, D Kowald, M Schedl
Transactions of the International Society for Music Information Retrieval 3 (1), 2020
Upoważnienia: European Commission
The tagrec framework as a toolkit for the development of tag-based recommender systems
D Kowald, S Kopeinik, E Lex
Adjunct publication of the 25th conference on user modeling, adaptation and …, 2017
Upoważnienia: Austrian Science Fund
Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project
S Kopeinik, E Lex, P Seitlinger, D Albert, T Ley
Proceedings of the seventh international learning analytics & knowledge …, 2017
Upoważnienia: Austrian Science Fund
Attention please! a hybrid resource recommender mimicking attention-interpretation dynamics
P Seitlinger, D Kowald, S Kopeinik, I Hasani-Mavriqi, E Lex, T Ley
Proceedings of the 24th International Conference on World Wide Web, 339-345, 2015
Upoważnienia: Austrian Science Fund
Using the hybrid social learning network to explore concepts, practices, designs and smart services for networked professional learning
J Cook, T Ley, R Maier, Y Mor, P Santos, E Lex, S Dennerlein, C Trattner, ...
State-of-the-Art and Future Directions of Smart Learning, 123-129, 2016
Upoważnienia: European Commission
Robustness of meta matrix factorization against strict privacy constraints
P Muellner, D Kowald, E Lex
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
Upoważnienia: European Commission
Reuseknn: Neighborhood reuse for differentially private knn-based recommendations
P Müllner, E Lex, M Schedl, D Kowald
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-29, 2023
Upoważnienia: Austrian Science Fund
Song lyrics have become simpler and more repetitive over the last five decades
E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ...
Scientific Reports 14 (1), 5531, 2024
Upoważnienia: Austrian Science Fund
Structack: Structure-based adversarial attacks on graph neural networks
H Hussain, T Duricic, E Lex, D Helic, M Strohmaier, R Kern
Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 111-120, 2021
Upoważnienia: European Commission
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization.
O Lesota, S Brandl, M Wenzel, AB Melchiorre, E Lex, N Rekabsaz, ...
MORS@ RecSys, 2022
Upoważnienia: Austrian Science Fund
An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server.
A Ruiz-Calleja, S Dennerlein, D Kowald, D Theiler, E Lex, T Ley
Journal of Learning Analytics 6 (2), 120-139, 2019
Upoważnienia: European Commission
Improving collaborative filtering using a cognitive model of human category learning
S Kopeinik, D Kowald, I Hasani-Mavriqi, E Lex
The Journal of Web Science 2 (4), 45-61, 2017
Upoważnienia: Austrian Science Fund
Integrating the act-r framework with collaborative filtering for explainable sequential music recommendation
M Moscati, C Wallmann, M Reiter-Haas, D Kowald, E Lex, M Schedl
Proceedings of the 17th ACM conference on recommender systems, 840-847, 2023
Upoważnienia: Austrian Science Fund
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