Παρακολούθηση
Xiang Yin
Xiang Yin
Imperial College London
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα imperial.ac.uk
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Explaining random forests using bipolar argumentation and Markov networks
N Potyka, X Yin, F Toni
Association for the Advancement of Artificial Intelligence (AAAI) 37 (8 …, 2023
122023
Argument attribution explanations in quantitative bipolar argumentation frameworks
X Yin, N Potyka, F Toni
European Conference on Artificial Intelligence (ECAI) 372, 2898-2905, 2023
112023
Contestable AI needs Computational Argumentation
F Leofante, H Ayoobi, A Dejl, G Freedman, D Gorur, J Jiang, ...
International Conference on Principles of Knowledge Representation and …, 2024
62024
Argumentative Large Language Models for Explainable and Contestable Decision-Making
G Freedman, A Dejl, D Gorur, X Yin, A Rago, F Toni
arXiv preprint arXiv:2405.02079, 2024
52024
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis
T Kampik, N Potyka, X Yin, K Čyras, F Toni
International Journal of Approximate Reasoning (IJAR), 2024
52024
Explaining arguments’ strength: Unveiling the role of attacks and supports
X Yin, N Potyka, F Toni
International Joint Conference on Artificial Intelligence (IJCAI), 2024
42024
Towards a theory of faithfulness: Faithful explanations of differentiable classifiers over continuous data
N Potyka, X Yin, F Toni
arXiv preprint arXiv:2205.09620, 2022
22022
CE-QArg: Counterfactual explanations for quantitative bipolar argumentation frameworks
X Yin, N Potyka, F Toni
International Conference on Principles of Knowledge Representation and …, 2024
12024
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report)
N Potyka, X Yin, F Toni
arXiv preprint arXiv:2211.11699, 2022
12022
On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.
N Potyka, X Yin, F Toni
ArgXAI Workshop @ COMMA 2022, 2022
12022
Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks
X Yin, N Potyka, F Toni
ArgXAI Workshop @ COMMA 2024, 2024
2024
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)
X Yin, N Potyka, F Toni
arXiv preprint arXiv:2407.08497, 2024
2024
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)
X Yin, P Nico, F Toni
arXiv preprint arXiv:2404.14304, 2024
2024
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