Alberto Veneri

Researcher, Domyn

Joined

August 2023

Names

Alberto Veneri (Preferred)

Emails

****@unive.it (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Domyn (domyn.com)

2025 – Present

Postdoc

University of Venice (unive.it)

2025 – 2025

PhD student

University of Venice (unive.it)

2021 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Claudio Lucchese

2021 – 2025

Expertise

No areas of expertise listed

Publications

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
- ACM Trans. Inf. Syst. 2025
- Readers: Everyone
Efficient Re-ranking with Cross-encoders via Early Exit
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
- SIGIR 2025
- Readers: Everyone
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge
Teresa Scantamburlo, Paolo Falcarin, Alberto Veneri, Alessandro Fabris, Chiara Gallese, Valentina Billa, Francesca Rotolo, Federico Marcuzzi
- RAIE@ICSE 2024
- Readers: Everyone
On the Application of a Common Theoretical Explainability Framework in Information Retrieval
Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri
- IIR 2024
- Readers: Everyone
GAM Forest Explanation
Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri
- EDBT 2023
- Readers: Everyone
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati
- CIBCB 2023
- Readers: Everyone
Can Embeddings Analysis Explain Large Language Model Ranking?
Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
- CIKM 2023
- Readers: Everyone
Explaining Learning to Rank Methods to Improve Them
Alberto Veneri
- CIKM 2023
- Readers: Everyone
A Theoretical Framework for AI Models Explainability
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati
- CoRR 2022
- Readers: Everyone
ILMART: Interpretable Ranking with Constrained LambdaMART
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
- Published: 01 Jan 2022, Last Modified: 05 Oct 2023
- SIGIR 2022
- Readers: Everyone

View all 14 publications