Feature Selection for Recommender Systems with Quantum Computing. - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (Entropy, 2021)

Feature Selection via Quantum Annealers for Ranking and Classification Tasks. - Maurizio Ferrari Dacrema; Fabio Moroni; Riccardo Nembrini; Nicola Ferro 001; Guglielmo Faggioli; Paolo Cremonesi (IIR, 2022)

Towards Recommender Systems with Community Detection and Quantum Computing. - Riccardo Nembrini; Costantino Carugno; Maurizio Ferrari Dacrema; Paolo Cremonesi (RecSys, 2022)

Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. - Maurizio Ferrari Dacrema; Fabio Moroni; Riccardo Nembrini; Nicola Ferro 001; Guglielmo Faggioli; Paolo Cremonesi (SIGIR, 2022)

Reinforcement Learning for Variational Quantum Circuit Design. - Simone Foderà; Gloria Turati; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (AIQxQIA@AI*IA, 2024)

An Application of Reinforcement Learning for Minor Embedding in Quantum Annealing (Short Paper). - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (AIQxQIA@AI*IA, 2024)

Reinforcement Learning for Variational Quantum Circuits Design. - Simone Foderà; Gloria Turati; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2024)

Automated Design of Structured Variational Quantum Circuits with Reinforcement Learning. - Gloria Turati; Simone Foderà; Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2025)

Minor Embedding for Quantum Annealing with Reinforcement Learning. - Riccardo Nembrini; Maurizio Ferrari Dacrema; Paolo Cremonesi (CoRR, 2025)