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pro vyhledávání: '"Cyras, K"'
Probabilistic Argumentation supports a form of hybrid reasoning by integrating quantitative (probabilistic) reasoning and qualitative argumentation in a natural way. Jury-based Probabilistic Argumentation supports the combination of opinions by diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::59ad7acbd7fb34b5a076698db5a2e054
http://hdl.handle.net/10044/1/105331
http://hdl.handle.net/10044/1/105331
Akademický článek
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Akademický článek
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Publikováno v:
24th European Conference on Artificial Intelligence (ECAI 2020)
Today’s AI landscape is permeated by plentiful data anddominated by powerful data-centric methods with the potential toimpact a wide range of human sectors. Yet, in some settings this po-tential is hindered by these data-centric AI methods being mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::c4f46b69d8422aea4df84b452be3088b
http://hdl.handle.net/10044/1/77585
http://hdl.handle.net/10044/1/77585
Akademický článek
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Publikováno v:
International Conference on Autonomous Agents and MultiAgent Systems
Bipolar Argumentation Frameworks (BAFs) admit several interpretations of the support relation and diverging definitions of semantics. Recently, several classes of BAFs have been captured as instances of bipolar Assumption-Based Argumentation, a class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad019281b6d2f629c3ba03d043891b07
http://arxiv.org/abs/1903.01964
http://arxiv.org/abs/1903.01964
Publikováno v:
International Conference on Autonomous Agents and MultiAgent Systems
Bipolar Argumentation Frameworks (BAFs) are an important class of argumentation frameworks useful for capturing, reasoning with, and deriving conclusions from debates. They have the potential to make solid contributions to real-world multi-agent syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6525215f773635e6755b3c0d1c0f235b
http://hdl.handle.net/10044/1/75872
http://hdl.handle.net/10044/1/75872
Autor:
Cyras, K., Tiago Oliveira
Publikováno v:
Scopus-Elsevier
International Conference on Autonomous Agents and Multiagent Systems
International Conference on Autonomous Agents and Multiagent Systems
Automatically reasoning with conflicting generic clinical guidelines is a burning issue in patient-centric medical reasoning where patient-specific conditions and goals need to be taken into account. It is even more challenging in the presence of pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8d3aafc417257c352a7191f44081f29
Autor:
Cyras, K, Oliveira, T
Publikováno v:
16th International Conference on Principles of Knowledge Representation and Reasoning
We propose to use two structured argumentation formalisms, assumption-driven ABA + and goal-driven ASPIC-G, to en- able automated patient-centric medical reasoning with inter- acting clinical guideline recommendations, patient-specific conditions and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::24bd28fe77d8315504852667d70887d2
http://hdl.handle.net/10044/1/64297
http://hdl.handle.net/10044/1/64297
Publikováno v:
Workshop on Explainable Artificial Intelligence (XAI)
Data-centric AI has proven successful in several domains, but its outputs are often hard to explain. We present an architecture combining Artificial Neural Networks (ANNs) for feature selection and an instance of Abstract Argumentation (AA) for reaso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::936d8b440f04b1abe7790cb763109c96
http://hdl.handle.net/10044/1/62202
http://hdl.handle.net/10044/1/62202