Dario Piga

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 102

Top Venues

CoRR

Autom.

IEEE Control. Syst. Lett.

ECC

Publications

Marco Forgione, Manas Mejari, Dario Piga
Model order reduction of deep structured state-space models: A system-theoretic approach. CoRR (2024)
Gabriele Maroni, Filip Stojceski, Lorenzo Pallante, Marco Agostino Deriu, Dario Piga, Gianvito Grasso
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. CoRR (2024)
Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CoRR (2024)
Loddo Fabio, Dario Piga, Umberto Michelucci, El Ghazouali Safouane
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery. CoRR (2024)
Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance. Autom. 151 (2023)
Le Anh Dao, Loris Roveda, Marco Maccarini, Matteo Lavit Nicora, Marta Mondellini, Matteo Meregalli Falerni, Palaniappan Veerappan, Lorenzo Mantovani, Dario Piga, Simone Formentin, Matteo Malosio
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels. CoRR (2023)
Dario Piga, Filippo Pura, Marco Forgione
On the adaptation of in-context learners for system identification. CoRR (2023)
Manas Mejari, Ankit Gupta, Dario Piga
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. IEEE Control. Syst. Lett. 7 (2023)
Francesca Venturini, Silvan Fluri, Manas Mejari, Michael Baumgartner, Dario Piga, Umberto Michelucci
Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques. CoRR (2023)
Marco Forgione, Dario Piga
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. CoRR (2023)
Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
In-context learning of state estimators. CoRR (2023)
Marco Forgione, Filippo Pura, Dario Piga
From System Models to Class Models: An In-Context Learning Paradigm. IEEE Control. Syst. Lett. 7 (2023)
Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga
Multi-Agent Active Learning for Distributed Black-Box Optimization. IEEE Control. Syst. Lett. 7 (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Bayesian Optimization For Choice Data. GECCO Companion (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Learning Choice Functions with Gaussian Processes. UAI (2023)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Learning Choice Functions with Gaussian Processes. CoRR (2023)
Marco Forgione, Filippo Pura, Dario Piga
In-context learning for model-free system identification. CoRR (2023)
Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
On the adaptation of recurrent neural networks for system identification. Autom. 155 (2023)
Manas Mejari, Ankit Gupta, Dario Piga
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. CoRR (2023)
Gabriele Maroni, Loris Cannelli, Dario Piga
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. CoRR (2023)
Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin
Split-Boost Neural Networks. CoRR (2023)
Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). IJCAI (2023)
Asad Ali Shahid, Dario Piga, Francesco Braghin, Loris Roveda
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning. Auton. Robots 46 (3) (2022)
Manas Mejari, Dario Piga
Direct identification of continuous-time linear switched state-space models. CoRR (2022)
Marco Forgione, Manas Mejari, Dario Piga
Learning neural state-space models: do we need a state estimator? CoRR (2022)
Dario Piga, Manas Mejari, Marco Forgione
Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. IEEE Trans. Autom. Control. 67 (10) (2022)
Mengjia Zhu, Dario Piga, Alberto Bemporad
C-GLISp: Preference-Based Global Optimization Under Unknown Constraints With Applications to Controller Calibration. IEEE Trans. Control. Syst. Technol. 30 (5) (2022)
Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration. Artif. Intell. 312 (2022)
Loris Roveda, Asad Ali Shahid, Niccolò Iannacci, Dario Piga
Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation. IEEE Trans. Control. Syst. Technol. 30 (1) (2022)
Federico Bianchi, Luigi Piroddi, Alberto Bemporad, Geza Halasz, Matteo Villani, Dario Piga
Active preference-based optimization for human-in-the-loop feature selection. Eur. J. Control 66 (2022)
Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti
Visual Servoing with Geometrically Interpretable Neural Perception. IROS (2022)
Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
On the adaptation of recurrent neural networks for system identification. CoRR (2022)
Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga
Direct identification of continuous-time LPV state-space models via an integral architecture. Autom. 142 (2022)
Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Asad Ali Shahid, Giuseppe Bucca, Dario Piga
Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks. J. Intell. Robotic Syst. 104 (1) (2022)
Antonio Paolillo, Mirko Nava, Dario Piga, Alessandro Giusti
Visual Servoing with Geometrically Interpretable Neural Perception. CoRR (2022)
Mengjia Zhu, Alberto Bemporad, Dario Piga
Preference-based MPC calibration. ECC (2021)
Dario Piga, Marco Forgione, Manas Mejari
Deep learning with transfer functions: new applications in system identification. CoRR (2021)
Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca
Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization. Robotics Auton. Syst. 136 (2021)
Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IROS (2021)
Mengjia Zhu, Dario Piga, Alberto Bemporad
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration. CoRR (2021)
Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga
External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter. UR (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Preferential Bayesian optimisation with skew gaussian processes. GECCO Companion (2021)
Loris Roveda, Dario Piga
Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks. Auton. Robots 45 (3) (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. Mach. Learn. 110 (11) (2021)
Alberto Bemporad, Dario Piga
Global optimization based on active preference learning with radial basis functions. Mach. Learn. 110 (2) (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Choice functions based multi-objective Bayesian optimisation. CoRR (2021)
Loris Roveda, Marco Maroni, Lorenzo Mazzuchelli, Loris Praolini, Giuseppe Bucca, Dario Piga
Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization. MetroInd4.0&IoT (2021)
Federico Bianchi, Valentina Breschi, Dario Piga, Luigi Piroddi
Model structure selection for switched NARX system identification: A randomized approach. Autom. 125 (2021)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. DSAA (2021)
Daniela Selvi, Dario Piga, Giorgio Battistelli, Alberto Bemporad
Optimal direct data-driven control with stability guarantees. Eur. J. Control 59 (2021)
Marco Forgione, Dario Piga
Continuous-time system identification with neural networks: Model structures and fitting criteria. Eur. J. Control 59 (2021)
Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. CoRR (2021)
Loris Roveda, Daniele Riva, Giuseppe Bucca, Dario Piga
Sensorless Optimal Switching Impact/Force Controller. IEEE Access 9 (2021)
Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. Algorithms 14 (11) (2021)
Loris Roveda, Beatrice Maggioni, Elia Marescotti, Asad Ali Shahid, Andrea Maria Zanchettin, Alberto Bemporad, Dario Piga
Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks. IEEE Robotics Autom. Lett. 6 (4) (2021)
Dario Piga, Alberto Bemporad, Alessio Benavoli
Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. 117 (2020)
Loris Roveda, Marco Forgione, Dario Piga
One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. UR (2020)
Marco Forgione, Dario Piga
Continuous-time system identification with neural networks: model structures and fitting criteria. CoRR (2020)
Marco Forgione, Dario Piga
dynoNet: a neural network architecture for learning dynamical systems. CoRR (2020)
Manas Mejari, Valentina Breschi, Dario Piga
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. IEEE Control. Syst. Lett. 4 (4) (2020)
Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance. CoRR (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Preferential Bayesian optimisation with Skew Gaussian Processes. CoRR (2020)
Bojan Mavkov, Marco Forgione, Dario Piga
Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control. Syst. Lett. 4 (4) (2020)
Asad Ali Shahid, Loris Roveda, Dario Piga, Francesco Braghin
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning. SMC (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. CoRR (2020)
Alberto Lucchini, Simone Formentin, Matteo Corno, Dario Piga, Sergio M. Savaresi
Torque Vectoring for High-Performance Electric Vehicles: An Efficient MPC Calibration. IEEE Control. Syst. Lett. 4 (3) (2020)
Vincent Laurain, Roland Tóth, Dario Piga, Mohamed Abdelmonim Hassan Darwish
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. Autom. 115 (2020)
Dario Piga, Valentina Breschi, Alberto Bemporad
Estimation of jump Box-Jenkins models. Autom. 120 (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Skew Gaussian processes for classification. Mach. Learn. 109 (9-10) (2020)
Dario Piga
Finite-horizon integration for continuous-time identification: bias analysis and application to variable stiffness actuators. Int. J. Control 93 (10) (2020)
Loris Roveda, Mauro Magni, Martina Cantoni, Dario Piga, Giuseppe Bucca
Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning. SMC (2020)
Loris Roveda, Dario Piga
Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks. Int. J. Intell. Robotics Appl. 4 (4) (2020)
Loris Roveda, Dario Piga
Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications. MetroInd4.0&IoT (2020)
Alessio Benavoli, Dario Azzimonti, Dario Piga
Skew Gaussian Processes for Classification. CoRR (2020)
Manas Mejari, Dario Piga, Roland Tóth, Alberto Bemporad
Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. ECC (2019)
Marco Forgione, Dario Piga
Model structures and fitting criteria for system identification with neural networks. CoRR (2019)
Alberto Bemporad, Dario Piga
Active preference learning based on radial basis functions. CoRR (2019)
Andrea Barni, Alessandro Brusaferri, Franco Antonio Cavadini, Giuseppe Landolfi, Sandeep Patil, Dario Piga, Stefano Spinelli, Valeriy Vyatkin
Fostering the creation of a Digital Ecosystem by a distributed IEC-61499 based automation platform. INDIN (2019)
Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad
Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. 3 (3) (2019)
Valentina Breschi, Dario Piga, Alberto Bemporad
Maximum-a-posteriori estimation of jump Box-Jenkins models. CDC (2019)
Dario Piga, Alessio Benavoli
Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. ECC (2019)
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105 (2019)
Cristina Rottondi, Marco Derboni, Dario Piga, Andrea Emilio Rizzoli
An optimisation-based energy disaggregation algorithm for low frequency smart meter data. Energy Inform. 2 (S1) (2019)
Marco Forgione, Dario Piga, Alberto Bemporad
Efficient Calibration of Embedded MPC. CoRR (2019)
Manas Mejari, Dario Piga, Alberto Bemporad
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. Autom. 87 (2018)
Dario Piga, Simone Formentin, Alberto Bemporad
Direct Data-Driven Control of Constrained Systems. IEEE Trans. Control. Syst. Technol. 26 (4) (2018)
Manas Mejari, Vihangkumar V. Naik, Dario Piga, Alberto Bemporad
Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. CDC (2018)
Daniela Selvi, Dario Piga, Alberto Bemporad
Towards direct data-driven model-free design of optimal controllers. ECC (2018)
Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
Fitting jump models. Autom. 96 (2018)
Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd
Prediction error methods in learning jump ARMAX models. CDC (2018)
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
SOS for Bounded Rationality. ISIPTA (2017)
Dario Piga, Alessio Benavoli
A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices. IEEE Trans. Autom. Control. 62 (10) (2017)
Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd
Fitting Jump Models. CoRR (2017)
Vihangkumar V. Naik, Manas Mejari, Dario Piga, Alberto Bemporad
Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming. MED (2017)
Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
Direct learning of LPV controllers from data. Autom. 65 (2016)
Valentina Breschi, Dario Piga, Alberto Bemporad
Learning hybrid models with logical and continuous dynamics via multiclass linear separation. CDC (2016)
Dario Piga
Computation of the Structured Singular Value via Moment LMI Relaxations. IEEE Trans. Autom. Control. 61 (2) (2016)
Manas Mejari, Dario Piga, Alberto Bemporad
Regularized least square support vector machines for order and structure selection of LPV-ARX models. ECC (2016)
Valentina Breschi, Alberto Bemporad, Dario Piga
Identification of hybrid and linear parameter varying models via recursive piecewise affine regression and discrimination. ECC (2016)
Alessio Benavoli, Dario Piga
A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding. Autom. 70 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dario Piga