PILLONETTO, GIANLUIGI
PILLONETTO, GIANLUIGI
Dipartimento di Ingegneria dell'Informazione - DEI
Deep networks for system identification: A survey
2025 Pillonetto, Gianluigi; Aravkin, Aleksandr; Gedon, Daniel; Ljung, Lennart; Ribeiro, Antônio H.; Schön, Thomas B.
Gene signatures derived from transcriptomic-causal networks stratify colorectal cancer patients for effective targeted therapy
2025 Yazdani, A.; Lenz, H. -J.; Pillonetto, G.; Mendez-Giraldez, R.; Yazdani, A.; Sanoff, H.; Hadi, R.; Samiei, E.; Venook, A. P.; Ratain, M. J.; Rashid, N.; Vincent, B. G.; Qu, X.; Wen, Y.; Kosorok, M.; Symmans, W. F.; Shen, J. P. Y. C.; Lee, M. S.; Kopetz, S.; Nixon, A. B.; Bertagnolli, M. M.; Perou, C. M.; Innocenti, F.
Novel treatment-specific causal biomarkers for colorectal cancer by omics integration
2025 Yazdani, A.; Yazdani, A.; Mendez-Giraldez, R.; Pillonetto, G.; Samiei, E.; Hadi, R.; Lenz, H. -J.; Venook, A. P.; Samiei, A.; Nixon, A. B.; Lucci, J. A.; Kopetz, S.; Bertagnolli, M. M.; Innocenti, F.
Supervised Learning in Dynamic and Non Stationary Environments
2025 Giaretta, A.; Bisiacco, M.; Pillonetto, G.
A refinement of the stability test for reproducing kernel Hilbert spaces
2024 Bisiacco, M.; Pillonetto, G.
Dealing with collinearity in large-scale linear system identification using Gaussian regression
2024 Cao, W.; Pillonetto, G.
Kernel-based linear system identification: When does the representer theorem hold?
2024 Pillonetto, G.; Bisiacco, M.
Learning for Control: $\mathcal {L}_{1}$-error Bounds for Kernel-based Regression
2024 Bisiacco, M.; Pillonetto, G.
Mercer kernel absolute integrability is only sufficient for RKHS stability
2024 Bisiacco, M.; Pillonetto, G.
Full Bayesian identification of linear dynamic systems using stable kernels
2023 Pillonetto, G.; Ljung, L.
In silico design and validation of a time-varying PID controller for an artificial pancreas with intraperitoneal insulin delivery and glucose sensing
2023 Dalla Libera, A.; Toffanin, C.; Drecogna, M.; Galderisi, A.; Pillonetto, G.; Cobelli, C.
Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control
2023 Care, A.; Carli, R.; Libera, A. D.; Romeres, D.; Pillonetto, G.
Kernel-based learning of orthogonal functions
2023 Scampicchio, A.; Bisiacco, M.; Pillonetto, G.
Sliding-Mode Theory Under Feedback Constraints and the Problem of Epidemic Control
2023 Bisiacco, Mauro; Pillonetto, Gianluigi
Bayesian frequentist bounds for machine learning and system identification
2022 Baggio, G; Care, A; Scampicchio, A; Pillonetto, G
Bayesian frequentist bounds for machine learning and system identification
2022 Baggio, G; Care, A; Scampicchio, A; Pillonetto, G
Closed-form expressions and nonparametric estimation of COVID-19 infection rate
2022 Bisiacco, Mauro; Pillonetto, Gianluigi; Cobelli, Claudio
Linear Model Identification for Personalized Prediction and Control in Diabetes
2022 Faccioli, S.; Facchinetti, A.; Sparacino, G.; Pillonetto, G.; Del Favero, S.
Linear system identification using the sequential stabilizing spline algorithm
2022 Pillonetto, Gianluigi; Chiuso, Alessandro
Model-free radio map estimation in massive MIMO systems via semi-parametric Gaussian regression
2022 DAL FABBRO, Nicolò; Rossi, M.; Pillonetto, G.; Schenato, L.; Piro, G.