Non-flat ABA Is an Instance of Bipolar Argumentation.
|
AAAI |
2024 |
0 |
Promoting Counterfactual Robustness through Diversity.
|
AAAI |
2024 |
0 |
Robust Knowledge Extraction from Large Language Models using Social Choice Theory.
|
AAMAS |
2024 |
0 |
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports.
|
IJCAI |
2024 |
0 |
Balancing Open-Mindedness and Conservativeness in Quantitative Bipolar Argumentation (and How to Prove Semantical from Functional Properties).
|
KR |
2024 |
0 |
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks.
|
KR |
2024 |
0 |
Explaining Random Forests Using Bipolar Argumentation and Markov Networks.
|
AAAI |
2023 |
0 |
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.
|
ECAI |
2023 |
0 |
SpArX: Sparse Argumentative Explanations for Neural Networks.
|
ECAI |
2023 |
0 |
Syntactic reasoning with conditional probabilities in deductive argumentation.
|
Artificial Intelligence |
2023 |
0 |
Understanding ProbLog as Probabilistic Argumentation.
|
ICLP |
2023 |
0 |
Faithful Embeddings for
|
ISWC |
2022 |
0 |
Pseudo-Riemannian Graph Convolutional Networks.
|
NIPS/NeurIPS |
2022 |
0 |
Interpreting Neural Networks as Quantitative Argumentation Frameworks.
|
AAAI |
2021 |
11 |
Bipolar Abstract Argumentation with Dual Attacks and Supports.
|
KR |
2020 |
4 |
Abstract Argumentation with Markov Networks.
|
ECAI |
2020 |
4 |
Extending Modular Semantics for Bipolar Weighted Argumentation.
|
AAMAS |
2019 |
14 |
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation.
|
AAMAS |
2019 |
0 |
Updating Belief in Arguments in Epistemic Graphs.
|
KR |
2018 |
15 |
Continuous Dynamical Systems for Weighted Bipolar Argumentation.
|
KR |
2018 |
24 |
Group Decision Making via Probabilistic Belief Merging.
|
IJCAI |
2016 |
6 |
Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures.
|
IJCAI |
2015 |
36 |
Linear Programs for Measuring Inconsistency in Probabilistic Logics.
|
KR |
2014 |
37 |
Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization.
|
ECAI |
2014 |
27 |