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Analytical Solutions for the Inverse Problem within Gradual Semantics
Oren, N., Yun, B., Libman, A., Baptista, M. S.
Working Papers and Discussion Papers
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https://doi.org/10.48550/arXiv.2203.01201
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http://aura.abdn.ac.uk/bitstream/2164/19104/1/2203.01201v1.pdf
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http://arxiv.org/abs/2203.01201v1
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The Inverse Problem for Argumentation Gradual Semantics
Oren, N., Yun, B., Vesic, S., Baptista, M. S.
Working Papers and Discussion Papers
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https://doi.org/10.48550/arXiv.2202.00294
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http://aura.abdn.ac.uk/bitstream/2164/21380/1/2202.00294v1.pdf
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http://arxiv.org/abs/2202.00294v1
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On probabilistic argumentation and subargument-completeness
Riveret, R., Oren, N.
Journal of Logic and Computation, vol. 32, no. 1, pp. 115-128
Contributions to Journals: Articles
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https://doi.org/10.1093/logcom/exab053
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Auto-generating textual data stories using data science pipelines
Wang, R., Gowri Sripada, S., Beacham, N.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1145/3508546.3508642
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Commentary to the Commission’s proposal for the “AI Act” – Response to selected issues
Cserne, P., Ducato, R., Zivkovic, P., Brown, A., Couzigou, I., Leontidis, G., Oren, N., Sutherland, C., Sweeney, P., Yuksel Ripley, B.
Non-textual Forms: Web Publications and Websites
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https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements/F2665397_en
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https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements_en
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In Search of a Goldilocks Zone for Credible AI
Allan, K., Oren, N., Hutchison, J., Martin, D.
Scientific Reports, vol. 11, 13687
Contributions to Journals: Articles
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https://doi.org/10.1038/s41598-021-93109-8
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http://aura.abdn.ac.uk/bitstream/2164/20790/1/Allan_SR_In_Search_Of_VoR.pdf
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A probabilistic deontic argumentation framework
Riveret, R., Oren, N., Sartor, G.
International Journal of Approximate Reasoning, vol. 126, pp. 249-271
Contributions to Journals: Articles
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https://doi.org/10.1016/j.ijar.2020.08.012
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http://aura.abdn.ac.uk/bitstream/2164/17014/1/Riveret_et_al_IJAR_AProbabilisticDeontic_AAM.pdf
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Efficient Construction of Structured Argumentation Systems
Yun, B., Oren, N., Croitoru, M.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.3233/FAIA200525
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/15166/1/Yun_et_al_IOS_EfficientCOnstructionOf_VoR.pdf
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Argument-based plan explanation
Oren, N., van Deemter, K., Vasconcelos, W. W.
Knowledge Engineering Tools and Techniques for AI Planning. SPRINGER INTERNATIONAL PUBLISHING AG, pp. 173-188, 16 pages
Chapters in Books, Reports and Conference Proceedings: Chapters
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https://doi.org/10.1007/978-3-030-38561-3_9
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Landmark-based approaches for goal recognition as planning
Pereira, R. F., Oren, N., Meneguzzi, F.
Artificial Intelligence, vol. 279, 103217
Contributions to Journals: Articles
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https://arxiv.org/abs/1904.11739v2
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https://doi.org/10.1016/j.artint.2019.103217
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http://aura.abdn.ac.uk/bitstream/2164/15449/1/Pereira_et_al_ArtificialIntelligence_LandmarkBasedApproaches_AAM.pdf
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View publication in Scopus