| Prompt optimization in large language models A Sabbatella, A Ponti, I Giordani, A Candelieri, F Archetti Mathematics 12 (6), 929, 2024 | 56 | 2024 |
| Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization A Candelieri, A Ponti, F Archetti Machine Learning 113 (5), 2701-2731, 2024 | 39 | 2024 |
| A new evolutionary approach to optimal sensor placement in water distribution networks A Ponti, A Candelieri, F Archetti Water 13 (12), 1625, 2021 | 33 | 2021 |
| Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 K Arai, S Kapoor, R Bhatia Springer, 2018 | 30 | 2018 |
| A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement A Ponti, A Candelieri, F Archetti Intelligent Systems with Applications 10, 200047, 2021 | 21 | 2021 |
| Modelling human active search in optimizing black-box functions A Candelieri, R Perego, I Giordani, A Ponti, F Archetti Soft Computing 24 (23), 17771-17785, 2020 | 16 | 2020 |
| A novel graph-based vulnerability metric in urban network infrastructures: The case of water distribution networks A Ponti, A Candelieri, I Giordani, F Archetti Water 13 (11), 1502, 2021 | 14 | 2021 |
| Uncertainty quantification and exploration–exploitation trade-off in humans A Candelieri, A Ponti, F Archetti Journal of Ambient Intelligence and Humanized Computing 14 (6), 6843-6876, 2023 | 13 | 2023 |
| Probabilistic measures of edge criticality in graphs: a study in water distribution networks A Ponti, A Candelieri, I Giordani, F Archetti Applied Network Science 6 (1), 81, 2021 | 11 | 2021 |
| A Bayesian approach for prompt optimization in pre-trained language models A Sabbatella, A Ponti, A Candelieri, I Giordani, F Archetti arXiv preprint arXiv:2312.00471, 2023 | 10 | 2023 |
| Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures A Sabbatella, A Ponti, A Candelieri, F Archetti Machine Learning and Knowledge Extraction 6 (4), 2232-2247, 2024 | 9 | 2024 |
| On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty A Candelieri, A Ponti, I Giordani, F Archetti Annals of Mathematics and Artificial Intelligence 91 (2), 217-238, 2023 | 9 | 2023 |
| Lost in optimization of water distribution systems: better call bayes A Candelieri, A Ponti, I Giordani, F Archetti Water 14 (5), 800, 2022 | 9 | 2022 |
| Distributional learning in multi-objective optimization of recommender systems A Candelieri, A Ponti, I Giordani, A Bosio, F Archetti Journal of Ambient Intelligence and Humanized Computing 14 (8), 10849-10865, 2023 | 8 | 2023 |
| Wasserstein enabled Bayesian optimization of composite functions A Candelieri, A Ponti, F Archetti Journal of Ambient Intelligence and Humanized Computing 14 (8), 11263-11271, 2023 | 7 | 2023 |
| Explaining Exploration–Exploitation in Humans A Candelieri, A Ponti, F Archetti Big Data and Cognitive Computing 6 (4), 155, 2022 | 7 | 2022 |
| Risk aware optimization of water sensor placement A Candelieri, A Ponti, F Archetti Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 5 | 2021 |
| Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels A Candelieri, A Ponti, F Archetti Journal of Global Optimization, 1-26, 2025 | 4 | 2025 |
| The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores A Ponti, I Giordani, M Mistri, A Candelieri, F Archetti Big Data and Cognitive Computing 6 (4), 138, 2022 | 4 | 2022 |
| Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms A Ponti, A Candelieri, I Giordani, F Archetti Mathematics 11 (10), 2342, 2023 | 3 | 2023 |
Francesco ArchettiProfessor of Computer Science, University of Milano BicoccaVerified email at disco.unimib.it
