The DOI matches its Crossref record; 152 of the 163 references it cites were found in a registry or an index.
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
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“Additionally, by exposing the system to contradictory examples where the same symptoms can indicate different diseases, the system can learn to evaluate multiple possibilities and make a more accurate diagnosis [91].”
From Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2024) · cites this paper as [91]
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Cites
A Unified Approach to Interpreting Model Predictions
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From local explanations to global understanding with explainable AI for trees
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Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
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Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Hassija, V., Chamola, V., Mahapatra, A., Singal, A., Goel, D., Huang, K., Scardapane, S., Spinelli, I., Mahmud, M., & Hussain, A. (2024) · Cognitive Computation · doi:10.1007/s12559-023-10179-8 · Cited by 2,495
Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101805 · Cited by 1,762
Albahri, A. S., Duhaim, A. M., Fadhel, M. A., Alnoor, A., Baqer, N. S., Alzubaidi, L., Albahri, O. S., Alamoodi, A. H., Bai, J., Salhi, A., et al. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.03.008 · Cited by 716
Self-citationA Review of Explainable Artificial Intelligence in Healthcare
Sadeghi, Z., Alizadehsani, R., CIFCI, M. A., Kausar, S., Rehman, R., Mahanta, P., Bora, P. K., Almasri, A., Alkhawaldeh, R. S., Hussain, S., et al. (2024) · Computers and Electrical Engineering · doi:10.1016/j.compeleceng.2024.109370 · Cited by 598
Longo, L., Brcic, M., Cabitza, F., Choi, J., Confalonieri, R., Ser, J. D., Guidotti, R., Hayashi, Y., Herrera, F., Holzinger, A., et al. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102301 · Cited by 626
Metadata
- Authors
- Chou, Y.-L., Moreira, C., Bruza, P., Ouyang, C., & Jorge, J.
- Affiliations
- Queensland University of Technology (AU)
- Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
- Corresponding author
- Moreira, Catarina
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 81
- Pages
- 59-83
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W3214404698
- Cited by
- 302
- References
- 163
- Citations by year
- 2026: 54 · 2025: 75 · 2024: 71 · 2023: 63 · 2022: 32
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Information Fusion (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
- OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- Fundação para a Ciência e a Tecnologia (UIDB/50021/2020)
- Queensland University of Technology
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Keywords
- counterfactual explanations, causality, explainable AI, model-agnostic explainability, deep learning interpretability, spurious correlations
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