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2020 – today
- 2024
[i3]Simone Foderà, Gloria Turati, Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Reinforcement Learning for Variational Quantum Circuits Design. CoRR abs/2409.05475 (2024)- 2022
- [c3]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Feature Selection via Quantum Annealers for Ranking and Classification Tasks. IIR 2022 - [c2]Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema
, Paolo Cremonesi:
Towards Recommender Systems with Community Detection and Quantum Computing. RecSys 2022: 579-585 - [c1]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. SIGIR 2022: 2814-2824 - [i2]Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. CoRR abs/2205.04346 (2022) - 2021
- [j1]Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Feature Selection for Recommender Systems with Quantum Computing. Entropy 23(8): 970 (2021) - [i1]Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Feature Selection for Recommender Systems with Quantum Computing. CoRR abs/2110.05089 (2021)
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