Tijs Slaats

Tijs Slaats


Medlem af:

    1. 2022
    2. Udgivet

      Poster: Unanimous-Majority - Pushing Blockchain Sharding Throughput to its Limit

      Xu, Yibin, Slaats, Tijs & Duedder, Boris, 7 nov. 2022, CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery (ACM), s. 3495–3497

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. Udgivet

      Decision Modelling in Timed Dynamic Condition Response Graphs with Data

      Hildebrandt, Thomas Troels, Normann, H., Marquard, M., Debois, S. & Slaats, Tijs, 2022, Business Process Management Workshops - BPM 2021 International Workshops, Revised Selected Papers: BPM 2021 International Workshops Rome, Italy, September 6–10, 2021 Revised Selected Papers. Marrella, A. & Weber, B. (red.). Springer, s. 362-374 13 s. (Lecture Notes in Business Information Processing, Bind 436 LNBIP).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    4. Udgivet

      Deconstructing Gender in Asylum Categories: An Archival Perspective on a Practice with Limited Access

      Gammeltoft-Hansen, Thomas, Kaltenhäuser, Kristin, Møller, Naja L. Holten & Slaats, Tijs, 2022, I: Proceedings the European Conference on Computer-Supported Cooperative Work. 20, 19 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    5. Udgivet

      DisCoveR: accurate and efficient discovery of declarative process models

      Back, C.O., Slaats, Tijs, Hildebrandt, Thomas Troels & Marquard, M., 2022, I: International Journal on Software Tools for Technology Transfer. 24, s. 563–587

      Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

    6. Udgivet

      Distributed and Adversarial Resistant Workflow Execution on the Algorand Blockchain

      Xu, Yibin, Slaats, Tijs, Duedder, Boris, Debois, S. & Wu, Haiqin, 2022, arxiv.org, 15 s.

      Publikation: Working paperPreprintForskning

    ID: 161900503