Publikationsliste Prof. Abraham Bernstein

Novel, M. (2020). Contextualized Search for Nearness (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-197728

Christen, M., Mader, C., Čas, J., Abou-Chadi, T., Bernstein, A., Braun Binder, N., Dell’ Aglio, D., Fábián, L., Geroge, D., Gohdes, A., Hilty, L., Kneer, M., Krieger-Lamina, J., Licht, H., Scherer, A., Som, C., Sutter, P., & Thouvenin, F. (2020). Wenn Algorithmen für uns entscheiden : Chancen und Risiken der künstlichen Intelligenz. TA-SWISS. https://doi.org/10.3218/4002-9

Tolmeijer, S., Kneer, M., Sarasua, C., Christen, M., & Bernstein, A. (2020). Implementations in Machine Ethics: A Survey (No. 07573; ArXiv.Org). https://arxiv.org/abs/2001.07573

Affolter, K., Stockinger, K., & Bernstein, A. (2019). A comparative survey of recent natural language interfaces for databases The VLDB Journal, 28, 793–819. https://doi.org/10.1007/s00778-019-00567-8

Sterchi, M., Faverjon, C., Sarasua, C., Vargas, M. E., Berezowski, J., Bernstein, A., Grütter, R., & Nathues, H. (2019). The pig transport network in Switzerland: Structure, patterns, and implications for the transmission of infectious diseases between animal holdings PLoS ONE, 14, e0217974. https://doi.org/10.1371/journal.pone.0217974

Sterchi, M., Sarasua, C., Grütter, R., & Bernstein, A. (2019). Maximizing the Likelihood of Detecting Outbreaks in Temporal Networks Studies in Computational Intelligence, 481–493. https://doi.org/10.1007/978-3-030-36683-4_39

Grubenmann, T., Dell’Aglio, D., & Bernstein, A. (2019). Collaborative Streaming: Trust Requirements for Price Sharing 3498–3505. https://doi.org/10.1109/BigData47090.2019.9005470

Pernischova, R., Dell’Aglio, D., Horridge, M., Baumgartner, M., & Bernstein, A. (2019, October 30). Toward Predicting Impact of Changes in Evolving Knowledge Graphs ISWC 2019 Posters & Demonstrations, Auckland.

Zhang, W., Paudel, B., Wang, L., Chen, J., Zhu, H., Zhang, W., Bernstein, A., & Chen, H. (2019, May 17). Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning The Web Conference, San Francisco. https://doi.org/10.1145/3308558.3313612

Zhang, W., Paudel, B., Zhang, W., Bernstein, A., & Chen, H. (2019, February 15). Interaction Embeddings for Prediction and Explanation in Knowledge Graphs International Conference on Web Search and Data Mining (WSDM), Melbourne. https://doi.org/10.1145/3289600.3291014

Bernstein, A., & Gilardi, F. (2018). Jetzt experimentieren! Schweizer Monat, 82–85. https://www.schweizermonat.ch/subscription_visitor/jetzt-experimentieren

Grubenmann, T., Dell’Aglio, D., Bernstein, A., Moor, D., & Seuken, S. (2018, October 12). Make restaurants pay your server bills ISWC 2018 Posters & Demonstrations and Industry Tracks, Monterey. http://ceur-ws.org/Vol-2180/paper-21.pdf

Baumgartner, M., Zhang, W., Paudel, B., Dell’Aglio, D., Chen, H., & Bernstein, A. (2018). Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning (No. 11136). 21–37. https://doi.org/10.1007/978-3-030-00671-6_2

Pernischova, R., Ruosch, F., Dell’Aglio, D., & Bernstein, A. (2018). Stream Processing: The Matrix Revolutions (No. 2179). 15–27. http://ceur-ws.org/Vol-2179/SSWS2018_paper2.pdf

Gao, S., Dell’Aglio, D., Pan, J. Z., & Bernstein, A. (2018). Distributed Stream Consistency Checking In T. Mikkonen, R. Klamma, & J. Hernández (Eds.), Lecture Notes in Computer Science (No. 10845; pp. 387–403). Springer. https://doi.org/10.1007/978-3-319-91662-0_32

Feldman, M., Anastasiu, C., & Bernstein, A. (2018, June 6). Towards Collaborative Data Analysis with Diverse Crowds – a Design Science Approach 13th International Conference on Design Science Research in Information Systems and Technology, Madras. https://doi.org/10.1007/978-3-319-91800-6_15

Grubenmann, T., Bernstein, A., Moor, D., & Seuken, S. (2018, April 27). Financing the Web of Data with Delayed-Answer Auctions WWW 2018: The 2018 Web Conference, Lyon. https://doi.org/10.1145/3178876.3186002

Feldman, M. (2018). Crowdsourcing data analysis: empowering non-experts to conduct data analysis (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-162890

Hölldobler, S., Bernstein, A., & et al (Eds.). (2018). Ausgezeichnete Informatikdissertationen 2017 Gesellschaft für Informatik.

Dell’Aglio, D., Della Valle, E., van Harmelen, F., & Bernstein, A. (2017). Stream reasoning: A survey and outlook : A summary of ten years of research and a vision for the next decade. Data Science, 1, 59–83. https://doi.org/10.3233/DS-170006