Research output per year
Research output per year
Personal profile
Research interests
In my research I focus on Explainable AI, Knowledge Representation and Reasoning, and Computational Argumentation.
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Dive into the research topics where Tjitze Rienstra 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Argumentation-Based Probabilistic Causal Reasoning
Bengel, L., Blümel, L., Rienstra, T. & Thimm, M., 2024, Robust Argumentation Machines - First International Conference, RATIO 2024, Proceedings. Cimiano, P., Frank, A., Kohlhase, M. & Stein, B. (eds.). Springer Verlag, Vol. 14638 LNAI. p. 221-236 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14638 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access -
Learning argumentation frameworks from labelings
Bengel, L., Thimm, M. & Rienstra, T., 12 Jul 2024, In: Argument and Computation. 15, 2, p. 121-159 39 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
An Argumentative Framework for Generating Explainable Group Recommendations
van Kuijk, K., Mahmoudi, S. S., Wen, Y., Barile, F. & Rienstra, T., 26 Jun 2023, Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery, p. 266–274 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile72 Downloads (Pure) -
Revision, defeasible conditionals and non-monotonic inference for abstract dialectical frameworks
Heyninck, J., Kern-Isberner, G., Rienstra, T., Skiba, K. & Thimm, M., Apr 2023, In: Artificial Intelligence. 317, 33 p., 103876.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Argumentation-based Causal and Counterfactual Reasoning
Bengel, L., Blümel, L., Rienstra, T. & Thimm, M., 2022, CEUR Workshop Proceedings - 1st International Workshop on Argumentation for eXplainable AI (ArgXAI). Vol. 3209. 12 p. (CEUR Workshop Proceedings, Vol. 3209).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open Access