Publikationsliste Prof. Abraham Bernstein

Rossetto, L., Inel, O., Lange, S., Ruosch, F., Wang, R., & Bernstein, A. (2023). Multi-Mode Clustering for Graph-Based Lifelog Retrieval (C. Gurrin, B. P. Jonsson, D. T. D. Nguyen, G. Healy, J. Lokoc, L. Zhou, L. Rossetto, M.-T. Tran, W. Hurst, W. Bailer, & K. Schoeffmann, Eds.; pp. 36–40). ACM Digital library. https://doi.org/10.1145/3592573.3593102

Ruosch, F., Sarasua, C., & Bernstein, A. (2023). DREAM: Deployment of Recombination and Ensembles in Argument Mining Proceedings of the Conference on Empirical Methods in Natural Language Processing, 5277–5290. https://doi.org/10.18653/v1/2023.emnlp-main.320

Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., & Bernstein, A. (2023). NLQxform: A Language Model-based Question to SPARQL Transformer CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3592/paper2.pdf

Heitz, L., Lischka, J. A., Birrer, A., Paudel, B., Tolmeijer, S., Laugwitz, L., & Bernstein, A. (2022). Benefits of Diverse News Recommendations for Democracy: A User Study Digital Journalism, 10, 1710–1730. https://doi.org/10.1080/21670811.2021.2021804

Thouvenin, F., de Werra, J., Benhamou, Y., Bernstein, A., Gille, F., Kuonen, D., Lovis, C., Volz, S., & von Wyl, V. (2022). Governance Mechanisms for Access and Use of Data in Public Health Crises: Call for Action Jusletter, online. https://doi.org/10.38023/01946486-4c4f-418d-8613-ab992853c707

Han, X., Dell’Aglio, D., Grubenmann, T., Cheng, R., & Bernstein, A. (2022). A framework for differentially-private knowledge graph embeddings Journal of Web Semantics, 72, 100696. https://doi.org/10.1016/j.websem.2021.100696

Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2022). Workflow analysis of data science code in public GitHub repositories Empirical Software Engineering, 28, 7. https://doi.org/10.1007/s10664-022-10229-z

Theus, A., Rossetto, L., & Bernstein, A. (2022). HyText – A Scene-Text Extraction Method for Video Retrieval In B. Þór Jónsson & et al (Eds.), MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, Part II (No. 13142; pp. 182–193). Springer. https://doi.org/10.1007/978-3-030-98355-0_16

Sauter, L., Gasser, R., Bernstein, A., Schuldt, H., & Rossetto, L. (2022). An Asynchronous Scheme for the Distributed Evaluation of Interactive Multimedia Retrieval 33–39. https://doi.org/10.1145/3552467.3554797

Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., & Bernstein, A. (2022). Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making 1–17. https://doi.org/10.1145/3491102.3517732

Klingler, Y., Lehmann, C., Monteiro, J. P., Saladin, C., Bernstein, A., & Stockinger, K. (2022). Evaluation of Algorithms for Interaction-Sparse Recommendations: Neural Networks don’t Always Win Advances in Database Technology, 475–486. https://doi.org/10.48786/edbt.2022.42

Kunam, L., Rossetto, L., & Bernstein, A. (2022). A Multi-Stream Approach for Video Understanding 7003–7007. https://doi.org/10.1145/3503161.3551567

Ruosch, F., Sarasua, C., & Bernstein, A. (2022). BAM: Benchmarking Argument Mining on Scientific Documents The AAAI-22 Workshop on Scientific Document Understanding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), online due to COVID-19.

Tolmeijer, S. (2022). The Right Thing To Do? Artificial Intelligence for Ethical Decision Making (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-225097

Wang, R., Rossetto, L., Cochez, M., & Bernstein, A. (2022). QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System (2206.01818; ArXiv.Org). https://doi.org/10.48550/arXiv.2206.01818

Pernisch, R., Dell’Aglio, D., & Bernstein, A. (2021). Beware of the hierarchy — An analysis of ontology evolution and the materialisation impact for biomedical ontologies Journal of Web Semantics, 70, 100658. https://doi.org/10.1016/j.websem.2021.100658

Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O. R., van Aert, R. C. M., van Assen, M. A. L. M., Liu, Y., Althoff, T., Heer, J., Kale, A., Mohamed, Z., Amireh, H., Venkatesh Prasad, V., Bernstein, A., Robinson, E., Snellman, K., Amy Sommer, S., Otner, S. M. G., Robinson, D., … Luis Uhlmann, E. (2021). Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis Organizational Behavior and Human Decision Processes, 165, 228–249. https://doi.org/10.1016/j.obhdp.2021.02.003

Bernstein, A., De Vreese, C., Helberger, N., Schulz, W., Zweig, K., et al, Heitz, L., & Tolmeijer, S. (2021). Diversity in News Recommendation Dagstuhl Manifestos, 9, 43–61. https://doi.org/10.4230/DagMan.9.1.43

Sterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2021). Outbreak detection for temporal contact data Applied Network Science, 6, 17. https://doi.org/10.1007/s41109-021-00360-z

Saad, M., Bernstein, A., Böhlen, M. H., & Dell’Aglio, D. (2021). Single Point Incremental Fourier Transform on 2D Data Streams In IEEE (Ed.), 2021 IEEE 37th International Conference on Data Engineering (ICDE) (pp. 852–863). IEEE Xplore. https://doi.org/10.1109/ICDE51399.2021.00079