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Alberto Veneri
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2020 – today
- 2024
- [c9]Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri:
On the Application of a Common Theoretical Explainability Framework in Information Retrieval. IIR 2024: 43-52 - [c8]Teresa Scantamburlo
, Paolo Falcarin
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. RAIE@ICSE 2024: 44-51 - 2023
- [c7]Matteo Rizzo, Alberto Veneri
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB 2023: 1-9 - [c6]Claudio Lucchese
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM 2023: 4150-4154 - [c5]Alberto Veneri
Explaining Learning to Rank Methods to Improve Them. CIKM 2023: 5185-5188 - [c4]Claudio Lucchese, Salvatore Orlando, Raffaele Perego
GAM Forest Explanation. EDBT 2023: 171-182 - 2022
- [c3]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Interpretable Ranking Using LambdaMART (Abstract). IIR 2022 - [c2]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR 2022: 2255-2259 - [i2]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR abs/2206.00473 (2022) - [i1]Matteo Rizzo, Alberto Veneri
A Theoretical Framework for AI Models Explainability. CoRR abs/2212.14447 (2022) - 2020
- [j1]Michael Burch, Alberto Veneri
Exploring eye movement data with image-based clustering. J. Vis. 23(4): 677-694 (2020)
2010 – 2019
- 2019
- [c1]Michael Burch, Alberto Veneri
EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. VINCI 2019: 8:1-8:8
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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