A Symbolic Approach to Explaining Bayesian Network Classifiers

9 May 2018

Papers citing "A Symbolic Approach to Explaining Bayesian Network Classifiers"

10 / 110 papers shown

Title
Three Modern Roles for Logic in AI Adnan Darwiche AI4CE 15 56 0 18 Apr 2020
On Tractable Representations of Binary Neural Networks Weijia Shi Andy Shih Adnan Darwiche Arthur Choi TPM OffRL 12 69 0 05 Apr 2020
On The Reasons Behind Decisions Adnan Darwiche Auguste Hirth FaML 25 145 0 21 Feb 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 27 105 0 16 Feb 2020
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) Zied Bouraoui Antoine Cornuéjols Thierry Denoeux Sebastien Destercke Didier Dubois ... Jérôme Mengin H. Prade Steven Schockaert M. Serrurier Christel Vrain 21 13 0 13 Dec 2019
On Validating, Repairing and Refining Heuristic ML Explanations Alexey Ignatiev Nina Narodytska Sasha Rubin FAtt LRM 8 62 0 04 Jul 2019
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach B. Liao Michael Anderson S. Anderson 15 18 0 13 Dec 2018
Abduction-Based Explanations for Machine Learning Models Alexey Ignatiev Nina Narodytska Sasha Rubin FAtt 20 219 0 26 Nov 2018
Argumentation for Explainable Scheduling (Full Paper with Proofs) K. Čyras Dimitrios Letsios Ruth Misener Francesca Toni 17 25 0 13 Nov 2018
Embedding Deep Networks into Visual Explanations Zhongang Qi Saeed Khorram Fuxin Li 32 27 0 15 Sep 2017