Filip Cano Cordoba

5 Publications

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[5]
2026 | Published | Conference Paper | IST-REx-ID: 22103 | OA
Cano Cordoba, Filip. “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, 5:4689–96. Science and Technology Publications, 2026. 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, Amartya, Trung Nguyen, Filip Cano Cordoba, and Andrew Sung. “Machine Unlearning Using Forgetting Neural Networks.” In Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2:1536–46. SciTePress, 2026. 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, Filip, Thomas A Henzinger, and Konstantin Kueffner. “Energy Shields for Fairness.” In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 4243–75. Association for Computing Machinery, 2026. 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, Filip, Thomas A Henzinger, and Konstantin Kueffner. “Algorithmic Fairness: A Runtime Perspective.” In 25th International Conference on Runtime Verification, 16087:1–21. Springer Nature, 2025. 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, Filip, Thomas A Henzinger, Bettina Könighofer, Konstantin Kueffner, and Kaushik Mallik. “Fairness Shields: Safeguarding against Biased Decision Makers.” In Proceedings of the 39th AAAI Conference on Artificial Intelligence, 39:15659–68. Association for the Advancement of Artificial Intelligence, 2025. 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, Filip. “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, 5:4689–96. Science and Technology Publications, 2026. 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, Amartya, Trung Nguyen, Filip Cano Cordoba, and Andrew Sung. “Machine Unlearning Using Forgetting Neural Networks.” In Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2:1536–46. SciTePress, 2026. 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, Filip, Thomas A Henzinger, and Konstantin Kueffner. “Energy Shields for Fairness.” In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 4243–75. Association for Computing Machinery, 2026. 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, Filip, Thomas A Henzinger, and Konstantin Kueffner. “Algorithmic Fairness: A Runtime Perspective.” In 25th International Conference on Runtime Verification, 16087:1–21. Springer Nature, 2025. 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, Filip, Thomas A Henzinger, Bettina Könighofer, Konstantin Kueffner, and Kaushik Mallik. “Fairness Shields: Safeguarding against Biased Decision Makers.” In Proceedings of the 39th AAAI Conference on Artificial Intelligence, 39:15659–68. Association for the Advancement of Artificial Intelligence, 2025. https://doi.org/10.1609/aaai.v39i15.33719.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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