Filip Cano Cordoba

5 Publications

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[5]
2026 | Published | Conference Paper | IST-REx-ID: 22103 | OA
Cano Cordoba, F. (2026). Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants. In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (Vol. 5, pp. 4689–4696). Marbella, Spain: Science and Technology Publications. https://doi.org/10.5220/0014483200004052
[Accepted Version] View | DOI | Download Accepted Version (ext.)
 
[4]
2026 | Published | Conference Paper | IST-REx-ID: 22294 | OA
Hatua, A., Nguyen, T., Cano Cordoba, F., & Sung, A. (2026). Machine unlearning using forgetting neural networks. In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (Vol. 2, pp. 1536–1546). Marbella, Spain: SciTePress. https://doi.org/10.5220/0014326500004052
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
2026 | Published | Conference Paper | IST-REx-ID: 22321 | OA
Cano Cordoba, F., Henzinger, T. A., & Kueffner, K. (2026). Energy shields for fairness. In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (pp. 4243–4275). Montreal, Canada: Association for Computing Machinery. https://doi.org/10.1145/3805689.3806807
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 21090 | OA
Cano Cordoba, F., Henzinger, T. A., & Kueffner, K. (2025). Algorithmic fairness: A runtime perspective. In 25th International Conference on Runtime Verification (Vol. 16087, pp. 1–21). Graz, Austria: Springer Nature. https://doi.org/10.1007/978-3-032-05435-7_1
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2025 | Published | Conference Paper | IST-REx-ID: 19665 | OA
Cano Cordoba, F., Henzinger, T. A., Könighofer, B., Kueffner, K., & Mallik, K. (2025). Fairness shields: Safeguarding against biased decision makers. In Proceedings of the 39th AAAI Conference on Artificial Intelligence (Vol. 39, pp. 15659–15668). Philadelphia, PA, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v39i15.33719
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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5 Publications

Mark all

[5]
2026 | Published | Conference Paper | IST-REx-ID: 22103 | OA
Cano Cordoba, F. (2026). Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants. In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (Vol. 5, pp. 4689–4696). Marbella, Spain: Science and Technology Publications. https://doi.org/10.5220/0014483200004052
[Accepted Version] View | DOI | Download Accepted Version (ext.)
 
[4]
2026 | Published | Conference Paper | IST-REx-ID: 22294 | OA
Hatua, A., Nguyen, T., Cano Cordoba, F., & Sung, A. (2026). Machine unlearning using forgetting neural networks. In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (Vol. 2, pp. 1536–1546). Marbella, Spain: SciTePress. https://doi.org/10.5220/0014326500004052
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
2026 | Published | Conference Paper | IST-REx-ID: 22321 | OA
Cano Cordoba, F., Henzinger, T. A., & Kueffner, K. (2026). Energy shields for fairness. In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (pp. 4243–4275). Montreal, Canada: Association for Computing Machinery. https://doi.org/10.1145/3805689.3806807
[Published Version] View | Files available | DOI | arXiv
 
[2]
2025 | Published | Conference Paper | IST-REx-ID: 21090 | OA
Cano Cordoba, F., Henzinger, T. A., & Kueffner, K. (2025). Algorithmic fairness: A runtime perspective. In 25th International Conference on Runtime Verification (Vol. 16087, pp. 1–21). Graz, Austria: Springer Nature. https://doi.org/10.1007/978-3-032-05435-7_1
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2025 | Published | Conference Paper | IST-REx-ID: 19665 | OA
Cano Cordoba, F., Henzinger, T. A., Könighofer, B., Kueffner, K., & Mallik, K. (2025). Fairness shields: Safeguarding against biased decision makers. In Proceedings of the 39th AAAI Conference on Artificial Intelligence (Vol. 39, pp. 15659–15668). Philadelphia, PA, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v39i15.33719
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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