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Giovanni De Toni
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2020 – today
- 2024
- [j3]Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini:
Personalized Algorithmic Recourse with Preference Elicitation. Trans. Mach. Learn. Res. 2024 (2024) - [c1]Seyedehdelaram Esfahani
, Giovanni De Toni
Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration. UMAP 2024: 249-254 - [i6]Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro:
Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration. CoRR abs/2404.05270 (2024) - [i5]Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez:
Towards Human-AI Complementarity with Predictions Sets. CoRR abs/2405.17544 (2024) - 2023
- [j2]Giovanni De Toni
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. Mach. Learn. 112(4): 1389-1409 (2023) - 2022
- [i4]Giovanni De Toni, Bruno Lepri, Andrea Passerini:
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. CoRR abs/2201.07135 (2022) - [i3]Giovanni De Toni, Paolo Viappiani, Bruno Lepri, Andrea Passerini:
Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences. CoRR abs/2205.13743 (2022) - 2021
- [i2]Giovanni De Toni, Luca Erculiani, Andrea Passerini:
Learning compositional programs with arguments and sampling. CoRR abs/2109.00619 (2021) - 2020
- [j1]Mainak Jas
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [i1]Giovanni De Toni, Cristian Consonni, Alberto Montresor:
A general method for estimating the prevalence of Influenza-Like-Symptoms with Wikipedia data. CoRR abs/2010.14903 (2020)
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last updated on 2024-08-10 00:30 CEST by the dblp team
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