Arshad, M. W.; Lodi, S.; Liu, D. Q., Design and Multi-Objective Kinematic Optimization of 3D Double Wishbone Suspensions Using an Ensemble Optimization Technique, «APPLIED RESEARCH», 2026, 5, Article number: e70063, pp. 1 - 15 [articolo]
Hita, X.; Javed, F.; Lodi, S., Reliable leukemia detection via transfer-enhanced Bayesian CNNs, «COMPUTERS IN BIOLOGY AND MEDICINE», 2026, 202, Article number: 111419, pp. 1 - 23 [articolo]
Arshad, M. W.; Lodi, S.; Liu, D. Q., A Hybrid Quantum-Classical Approach Using D-Wave and SLSQP for Double Wishbone Suspension System Optimization, in: Proceedings - 2025 IEEE Conference on Artificial Intelligence, CAI 2025, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., 2025, pp. 16 - 19 [capitolo di libro]
Arshad, M. W.; Lodi, S.; Liu, D. Q., An Advanced Hybrid Optimization Algorithm for Vehicle Suspension Design Using a QUBO-SQP Framework, «MATHEMATICS», 2025, 13, Article number: 3843, pp. 1 - 19 [articolo]
Zhu, Junjie; Orazi, Filippo; Marzella, Sara; Ottaviani, Daniele; Lodi, Stefano, Benchmarking of D-Wave's and IBM's Devices on Known Quantum Solutions to NP-Complete Problems, in: 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2025, pp. 241 - 246 (atti di: 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, 2/11/2025) [Contributo in Atti di convegno]
Arshad, M. W.; Lodi, S.; Liu, D. Q., Double Wishbone Suspension: A Computational Framework for Parametric 3D Kinematic Modeling and Simulation Using Mathematica, «TECHNOLOGIES», 2025, 13, Article number: 332, pp. 1 - 24 [articolo]
Arshad, M. W.; Lodi, S.; Liu, D. Q., Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review, «MACHINES», 2025, 13, Article number: 204, pp. 1 - 27 [articolo]
Arshad, M. W.; Lodi, S., Quantum computing in the automotive industry: survey, challenges, and perspectives, «THE JOURNAL OF SUPERCOMPUTING», 2025, 81, Article number: 1093, pp. 1 - 34 [articolo]
Macaluso, Antonio; Clissa, Luca; Lodi, Stefano; Sartori, Claudio, An efficient quantum algorithm for ensemble classification using bagging, «IET QUANTUM COMMUNICATION», 2024, 5, pp. 253 - 268 [articolo]Open Access
Orazi F.; Gasperini S.; Lodi S.; Sartori C., Hybrid Quantum Technologies for Quantum Support Vector Machines, «INFORMATION», 2024, 15, Article number: 72, pp. 1 - 18 [articolo]Open Access
Arshad, M. W.; Lodi, S., Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms, in: 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS), IEEE, 2024, pp. 156 - 161 (atti di: International Conference on Applied Mathematics & Computer Science (ICAMCS 2024), Venezia, Italia, 28-30 settembre 2024) [Contributo in Atti di convegno]
Macaluso, A.; Orazi, F.; Klusch, M.; Lodi, S.; Sartori, C., A Variational Algorithm for Quantum Single Layer Perceptron, in: Machine Learning, Optimization, and Data Science: 8th International Conference, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 13811 LNCS, pp. 341 - 356 (atti di: International Conference on Machine Learning, Optimization, and Data Science, Certosa di Pontignano, Italy, 19 settembre 2022) [Contributo in Atti di convegno]
Matteo Antonio Inajetovic,
Filippo Orazi,
Antonio Macaluso,
Stefano Lodi,
Claudio Sartori, Enabling Non-linear Quantum Operations Through Variational Quantum Splines, in: Computational Science -- ICCS 2023, Springer Nature Switzerland, 2023, pp. 177 - 192 (atti di: Computational Science – ICCS 2023, Prague, Czech republic, July, 3-5 2023) [Contributo in Atti di convegno]
Macaluso A.; Klusch M.; Lodi S.; Sartori C., MAQA: a quantum framework for supervised learning, «QUANTUM INFORMATION PROCESSING», 2023, 22, Article number: 159, pp. 1 - 14 [articolo]Open Access
Tirotta, Paolo; Lodi, Stefano, OptAGAN: Entropy-based finetuning on text VAE-GAN, in: 10th International Conference on Natural Language Processing (NLP 2021), Chennai, Tamil Nadu, AIRCC Publishing Corporation, 2021, 11, pp. 31 - 44 (atti di: 10th International Conference on Natural Language Processing (NLP 2021), Sydney, Australia, December 23 - 24, 2021) [Contributo in Atti di convegno]
