| 2023 |
|---|
| Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr, Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning , Elsevier - The Journal of Finance and Data Science, 2023, link. |
| Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga, Multi-agent active learning for distributed black-box optimization , IEEE Control Systems Letters, 2023, link. |
| Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga, Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance , Automatica, 2023, link. |
| 2022 |
|---|
| Lars Peeters, Gerben Beintema, Marco Forgione, Maarten Schoukens, NARX Identification using Derivative-Based Regularized Neural Networks , Proc. of the 61th IEEE Conference on Decision and Control (CDC), 2022, link. Preprint. |
| Gabriele Maroni, Lorenzo Pallante, Giacomo Di Benedetto, Marco A. Deriu, Dario Piga, and Gianvito Grasso, Informed classification of sweeteners/bitterants compounds via explainable machine learning , Current Research in Food Science, 5, pp.2270-2280, 2022, link. |
| Xavier Bombois, Marco Forgione, Control design via Bayesian Optimization with safety constraints , Proc. of the 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022, link. Preprint. |
| Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga, Direct identification of continuous-time LPV state-space models via an integral architecture , Automatica, 2022, link. |
| Federico Bianchi, Luigi Piroddi, Alberto Bemporad, Geza Halasz, Matteo Villani, Dario Piga, Active preference-based optimization for human-in-the-loop feature selection , European Journal of Control, 2022, link. |
| Marta Malavolta, Lorenzo Pallante, Bojan Mavkov, Filip Stojceski, Gianvito Grasso, Aigli Korfiati, Seferina Mavroudi, Athanasios Kalogeras, Christos Alexakos, Vanessa Martos, Daria Amoroso, Giacomo Di Benedetto, Dario Piga, Konstantinos Theofilatos, Marco Agostino Deriu, A survey on computational taste predictors , European Food Research and Technology, 2022, link. |
| Samuele Kronauer, Bojan Mavkov, Manas Mejari, Dario Piga, Fabrice Jaques, Rino D'Amario, Riccardo Di Campli, Adriano Nasciuti, Data-driven statistical analysis for discharge position prediction on Wire EDM , 21st CIRP Conf on electro physical and chemical machining, ISEM, 2022, link. |
| Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying, Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case , IEEE Transactions on Computational Imaging, 2022, link. |
| 2021 |
|---|
| Mengjia Zhu, Dario Piga, Alberto Bemporad, C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration , IEEE Transactions on Control Systems Technology, 2021, link. |
| Dario Piga, Manas Mejari, Marco Forgione, Learning dynamical systems from quantized observations: a Bayesian perspective , IEEE Transactions on Automatic Control , 2021, link. |
| Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga, An integral architecture for identification of continuous-time state-space LPV models , Proc. of the 4th IFAC Workshop on Linear Parameter Varying Systems (LPVS), 2021, link. |
| Manas Mejari, Dario Piga, Maximum-A-Posteriori Estimation of Linear Time-Invariant State-Space Models via Efficient Monte-Carlo Sampling , ASME Letters in Dynamic Systems and Control, 2021, link. |
| Dario Piga, Marco Forgione, Manas Mejari, Deep learning with transfer functions: new applications in system identification , Proc. of the 19th IFAC Symposium on System Identification SYSID 2021, 2021, link. |
| Marco Forgione, Dario Piga, Continuous-time system identification with neural networks: Model structures and fitting criteria , European Journal of Control, 2021, link. |
| Alessio Benavoli, Dario Azzimonti, Dario Piga, Preferential bayesian optimisation with skew gaussian processes , Proc. of the Genetic and Evolutionary Computation Conference Companion, 2021, link. |
| Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco A Deriu, A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification , Algorithms, 2021, link. |
| Lorenzo Pallante, Marta Malavolta, Gianvito Grasso, Aigli Korfiati, Seferina Mavroudi, Bojan Mavkov, Athanasios Kalogeras, Christos Alexakos, Vanessa Martos, Daria Amoroso, Giacomo di Benedetto, Dario Piga, Konstantinos Theofilatos, Marco A Deriu, On the human taste perception: Molecular-level understanding empowered by computational methods , Trends in Food Science & Technology, 2021, link. |
| Gianvito Grasso, Arianna Di Gregorio, Bojan Mavkov, Dario Piga, Giuseppe Falvo D'Urso Labate, Andrea Danani, Marco A Deriu, Fragmented blind docking: a novel protein-ligand binding prediction protocol , Journal of biomolecular structure & dynamics, 2021, link. |
| Marco Forgione, Dario Piga, dynoNet: A neural network architecture for learning dynamical systems , International Journal of Adaptive Control and Signal Processing, 2021, link. |
| 2020 |
|---|
| Manas Mejari, Valentina Breschi, Dario Piga, Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models , IEEE Control Systems Letters, 2020, link. |
| Valentina Breschi, Manas Mejari, Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models , Proc. of the 59th IEEE Conference on Decision and Control (CDC), 2020, link. |
| Geza Halasz, Michela Sperti, Matteo Villani, Umberto Michelucci, Piergiuseppe Agostoni, Andrea Biagi, Luca Rossi, Andrea Botti, Chiara Mari, Marco Maccarini, Filippo Pura, Loris Roveda, Alessia Nardecchia, Emanuele Mottola, Massimo Nolli, Elisabetta Salvioni, Massimo Mapelli, Marco Agostino Deriu, Dario Piga, Massimo Piepoli, A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score , Journal of Medical Internet Research, 2020, link. Piacenza score website |
| Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, Vyacheslav Kungurtsev, Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions , IEEE Transactions on Automatic Control, 2020, link. |
| Marco Forgione, Dario Piga, Model Structures and Fitting Criteria for System Identification with Neural Networks , Proc. of the 2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT), 2020, link. |
| Bojan Mavkov, Marco Forgione, Dario Piga, Integrated neural networks for nonlinear continuous-time system identification , IEEE Control Systems Letters, 2020, link. |
| Manas Mejari, Vihangkumar Naik, Dario Piga, Alberto Bemporad, Identification of hybrid and linear parameter-varying models via piecewise affine regression using mixed integer programming , International Journal of Robust and Nonlinear Control, 2020, link. |
| Manas Mejari, Valentina Breschi, Vihangkumar V. Naik, Dario Piga, A Bias-Correction Approach for the Identification of Piecewise Affine Output-Error Models , Proc. of the 21st IFAC World Congress, 2020, link. |
| Marco Forgione, Dario Piga, Efficient Calibration of Embedded MPC , Proc. of the 21st IFAC World Congress, 2020, link. |