Publikationsliste Prof. Abraham Bernstein

Ruosch, F., Lawrence, J., Sarasua Garmendia, C., & Bernstein, A. (2024). A Unified Benchmark for Argument Mining In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 363–364). I O S Press. https://doi.org/10.3233/faia240341

Ruosch, F., Watter, J., Sarasua, C., & Bernstein, A. (2024). Documents with Integrated Visually Annotated Arguments In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational models of argument: Proceedings of COMMA 2024 (No. 388; pp. 367–368). I O S Press. https://doi.org/10.3233/faia240343

Vasu, R., Sarasua, C., & Bernstein, A. (2024). SciHyp: A Fine-Grained Dataset Describing Hypotheses and Their Components from Scientific Articles Lecture Notes in Computer Science, 134–152. https://doi.org/10.1007/978-3-031-77847-6_8

Heitz, L., Croci, J. A., Sachdeva, M., & Bernstein, A. (2024). Informfully – Research Platform for Reproducible User Studies Proceedings of the ACM Conference on Recommender Systems, 660–669. https://doi.org/10.1145/3640457.3688066

Fürer, D. L., Bernstein, A., & Rossetto, L. (2024). A Comparison of Late-Fusion Training Strategies for Quad-Modal Joint Embeddings Proceedings of the International Conference on Content-Based Multimedia Indexing, 1–7. https://doi.org/10.1109/cbmi62980.2024.10859218

Bachmann, F., Sarasua, C., & Bernstein, A. (2024). Fast and Adaptive Questionnaires for Voting Advice Applications Lecture Notes in Artificial Intelligence, 365–380. https://doi.org/10.1007/978-3-031-70381-2_23

Rossetto, L., Kyriakou, A., Lange, S., Ruosch, F., Wang, R., Wardatzky, K., & Bernstein, A. (2024). LifeGraph 4 - Lifelog Retrieval using Multimodal Knowledge Graphs and Vision-Language Models 88–92. https://doi.org/10.1145/3643489.3661127

Ruosch, F., Kottekulam Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2024). Single-label multi-modal field of research classification In G. Rehm, S. Dietze, S. Schimmler, & F. Krüger (Eds.), Lecture Notes in Computer Science (No. 14770; pp. 224–233). Springer (Bücher). https://doi.org/10.1007/978-3-031-65794-8_15

Meguellati, E., Han, L., Bernstein, A., Sadiq, S., & Demartini, G. (2024). How Good are LLMs in Generating Personalized Advertisements? Proceedings of the International World Wide Web Conference, 826–829. https://doi.org/10.1145/3589335.3651520

Heitz, L., Chan, Y. K., Li, H., Zeng, K., Bernstein, A., & Rossetto, L. (2024). Prompt-based Alignment of Headlines and Images Using OpenCLIP CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3658/paper7.pdf

Heitz, L., Bernstein, A., & Rossetto, L. (2024). An Empirical Exploration of Perceived Similarity between News Article Texts and Images CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3658/paper8.pdf

Wang, R., Rossetto, L., Cochez, M., & Bernstein, A. (2024). QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs Lecture Notes in Computer Science, 41–58. https://doi.org/10.1007/978-3-031-60626-7_3

Ashena, N., Inel, O., Persaud, B. L., & Bernstein, A. (2024). Casual Users and Rational Choices within Differential Privacy Proceedings of the IEEE Symposium on Security and Privacy, 87. https://doi.org/10.1109/SP54263.2024.00088

Skaf-Molli, H., Molli, P., Ibáñez, L.-D., & Bernstein, A. (2024). Enabling Delayed-Answer Auctions for RDF Knowledge Graphs Monetisation Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 279–293. https://doi.org/10.3233/SSW240022

Sterchi, M., Hilfiker, L., Grütter, R., & Bernstein, A. (2023). Active querying approach to epidemic source detection on contact networks Scientific Reports, 13, 11363. https://doi.org/10.1038/s41598-023-38282-8

Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2023). Visualising data science workflows to support third-party notebook comprehension: an empirical study Empirical Software Engineering, 28, 58. https://doi.org/10.1007/s10664-023-10289-9

Bernstein, A., Gohdes, A., Sarasua Garmendia, C., Staab, S., & Noveck, B. S. (2023). Challenges and opportunities of democracy in the digital society: report from Dagstuhl Seminar 22361 Dagstuhl Manifestos, 12, 1–19. https://drops.dagstuhl.de/opus/volltexte/2023/17807/pdf/dagrep_v012_i009_p001_22361.pdf

Baumgartner, M., Dell’Aglio, D., Paulheim, H., & Bernstein, A. (2023). Towards the Web of Embeddings: Integrating multiple knowledge graph embedding spaces with FedCoder Journal of Web Semantics, 75, 100741. https://doi.org/10.1016/j.websem.2022.100741

Lakics, V., Rossetto, L., & Bernstein, A. (2023). Link-Rot in Web-Sourced Multimedia Datasets In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling (No. 13833; pp. 476–488). Springer. https://doi.org/10.1007/978-3-031-27077-2_37

Heitz, L., Lischka, J. A., Abdullah, R., Laugwitz, L., Meyer, H., & Bernstein, A. (2023). Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study Proceedings of the ACM Conference on Recommender Systems, 813–819. https://doi.org/10.1145/3604915.3608834