| Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications YL Chou, C Moreira, P Bruza, C Ouyang, J Jorge Information Fusion 81, 59-83, 2022 | 182 | 2022 |
| LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models C Moreira, YL Chou, M Velmurugan, C Ouyang, R Sindhgatta, P Bruza Decision Support Systems 150, 113561, 2021 | 57 | 2021 |
| Benchmarking Counterfactual Algorithms for XAI: From White Box to Black Box C Moreira, YL Chou, C Hsieh, C Ouyang, J Jorge, JM Pereira arXiv preprint arXiv:2203.02399, 2022 | 7 | 2022 |
| An interpretable probabilistic approach for demystifying black-box predictive models C Moreira, YL Chou, M Velmurugan, C Ouyang, R Sindhgatta, P Bruza arXiv preprint arXiv:2007.10668, 2020 | 4 | 2020 |
| Counterfactuals in explainable artificial intelligence: Theory, algorithms, and applications YLL Chou Queensland University of Technology, 2024 | | 2024 |
| Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box C Moreira, YL Chou, C Hsieh, C Ouyang, J Pereira, J Jorge ACM Computing Surveys, 2024 | | 2024 |
