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Dive into the research topics where Kevin Innerebner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
Innerebner, K., Bartl, S., Reiter-Haas, M. & Lex, E., 2026, Advances in Information Retrieval : 48th European Conference on Information Retrieval, ECIR 2026, Proceedings, Part III. Campos, R., Jatowt, A., Lan, Y., Aliannejadi, M., Bauer, C., MacAvaney, S., Anand, A., Bai, N., Mansoury, M., Ren, Z. & Verberne, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 384-397 14 p. (Lecture Notes in Computer Science; vol. 16485 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling
Innerebner, K., Rohrhofer, F. M. & Geiger, B. C., 5 Jul 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. IEEE CS, p. 1-8 8 p. 11228136. (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Differentiable Fuzzy Neural Networks for Recommender Systems
Bartl, S., Innerebner, K. & Lex, E., 12 Jun 2025, UMAP 2025: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 343-348 6 p. (UMAP - Adjunct Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Graph Queries from Natural Language using Constrained Language Models and Visual Editing
Kantz, B., Innerebner, K., Waldert, P., Lengauer, S., Lex, E. & Schreck, T., 30 Nov 2025, arXiv, 8 p.Research output: Working paper › Preprint
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Hybrid AI for Human-Centric Personalization (HyPer)
Lex, E., Innerebner, K., Tkalcic, M., Kowald, D. & Schedl, M., 12 Jun 2025, UMAP 2025: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), p. 336-338 3 p. (UMAP - Adjunct Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access