Federico Marcuzzi

Orcid: 0000-0002-8141-8294

According to our database1, Federico Marcuzzi authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Effective, Efficient, and Robust Learning Algorithms for Ranking and Classification.
SIGIR Forum, June, 2024

Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge.
Proceedings of the 2nd International Workshop on Responsible AI Engineering, 2024

LambdaFair: a Fair and Effective LambdaMART.
Proceedings of the 14th Italian Information Retrieval Workshop, 2024

2023
Explainable Global Fairness Verification of Tree-Based Classifiers.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Does LambdaMART Do What You Expect?
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

LambdaRank Gradients are Incoherent.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Beyond robustness: Resilience verification of tree-based classifiers.
Comput. Secur., 2022

SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract).
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Filtering out Outliers in Learning to Rank.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

2021
Feature partitioning for robust tree ensembles and their certification in adversarial scenarios.
EURASIP J. Inf. Secur., 2021


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