Mauro Gaggero - RankMe

69 papers B 7C 11Journal 30Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive dipole-like parameter calibration of complex black-box continuous processes. Comput. Optim. Appl. Avi Herbon, Mauro Gaggero, Eugene Khmelnitsky, Marcello Sanguineti
2025	—	`conf`	Diffusion Control of Wildland Fire via a Cooperative Game-Theoretic Model. GAMENETS Patrizia Bagnerini, Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2025	C	`conf`	Dynamic Extended Output-Based Observer for an Adaptive Vertical Farm Quadcopter. ACC Echrak Chnib, Patrizia Bagnerini, Mauro Gaggero, Ali Zemouche
2025	C	`conf`	Gradient-Based Line-Search Optimization for Moving Horizon Estimation. ACC Dyhia Bouhadjra, Mauro Gaggero, Angelo Alessandri
2025	—	`conf`	On the Use of Newton-Based Methods in Fast Moving Horizon Estimation. ECC Dyhia Bouhadjra, Mauro Gaggero, Angelo Alessandri
2024	—	`conf`	Multi-crop scheduling of sowings in adaptive vertical farms with model predictive control. CDC Patrizia Bagnerini, Mauro Gaggero, Marco Ghio
2024	—	`conf`	Observer Design by Using a New Output-Based Dynamic Extension Technique. ECC Echrak Chnib, Patrizia Bagnerini, Mauro Gaggero, Ali Zemouche
2024	—	`conf`	Optimizing the Transportation of CO2 Via Vessels in a Milk Run Network of Three Ports. ITSC Mauro Gaggero
2024	—	`conf`	Parameter Estimation of a Dynamic Growth Model for Lettuce in an Adaptive Vertical Farm. CASE Echrak Chnib, Patrizia Bagnerini, Mauro Gaggero, Ali Zemouche
2024	C	`conf`	Practical Observers for Velocity Field Estimation of Normal Flow Equations. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli
2023	J	`jnl`	Exact and heuristic solution approaches for energy-efficient identical parallel machine scheduling with time-of-use costs. Eur. J. Oper. Res. Mauro Gaggero, Massimo Paolucci, Roberto Ronco
2023	—	`conf`	Mixed-Integer Linear Programming for the Scheduling of Seedings in an Industrial Adaptive Vertical Farm. CASE Patrizia Bagnerini, Mauro Gaggero, Marco Ghio
2023	—	`conf`	Model Predictive Control for the Scheduling of Seedings in an Adaptive Vertical Farm. CDC Patrizia Bagnerini, Mauro Gaggero, Marco Ghio
2022	J	`jnl`	Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
2022	—	`conf`	Scheduling Landing and Payload Switch of Unmanned Aerial Vehicles on a Single Automatic Platform. CASE Elena Ausonio, Patrizia Bagnerini, Mauro Gaggero
2021	J	`jnl`	A two-step optimization model for the distribution of perishable products. Networks Mauro Gaggero, Flavio Tonelli
2021	J	`jnl`	Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. Soft Comput. Luca Caviglione, Mauro Gaggero, Massimo Paolucci, Roberto Ronco
2021	J	`jnl`	Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters. Soft Comput. Luca Caviglione, Mauro Gaggero, Massimo Paolucci, Roberto Ronco
2021	J	`jnl`	Detection of Flow-Regime Transitions Using Dynamic Mode Decomposition and Moving Horizon Estimation. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
2021	J	`jnl`	Multiobjective Placement for Secure and Dependable Smart Industrial Environments. IEEE Trans. Ind. Informatics Luca Caviglione, Mauro Gaggero
2021	J	`jnl`	Optimization of gas metering maintenance services: A multiobjective vehicle routing problem with a set of predefined overlapping time windows. Networks Lucia Cassettari, Mauro Gaggero, Stefano Saccaro
2021	B	`conf`	Policy Optimization for Berth Allocation Problems. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2020	J	`jnl`	Parameter Estimation of Fire Propagation Models Using Level Set Methods. CoRR Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli
2020	J	`jnl`	State and observer-based feedback control of normal flow equations. Autom. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
2019	J	`jnl`	An Improved Load Flow Method for MV Networks Based on LV Load Measurements and Estimations. IEEE Trans. Instrum. Meas. Antonio Cataliotti, Cristiano Cervellera, Valentina Cosentino, Dario Di Cara, Mauro Gaggero, Danilo Macciò, Giuseppe Marsala, Antonella Ragusa, Giovanni Tinè
2019	J	`jnl`	Model Predictive Control for Energy-Efficient, Quality-Aware, and Secure Virtual Machine Placement. IEEE Trans Autom. Sci. Eng. Mauro Gaggero, Luca Caviglione
2019	—	`conf`	On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation. CDC Angelo Alessandri, Patrizia Bagnerini, C. Carmeli, Mauro Gaggero, Davide Lengani, Daniele Simoni
2019	J	`jnl`	Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations. IEEE Trans. Neural Networks Learn. Syst. Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2019	J	`jnl`	When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios. IEEE Access Mauro Gaggero, Donato Di Paola, Antonio Petitti, Luca Caviglione
2018	C	`conf`	Black-box Modeling and Optimal Control of a Two-Phase Flow by Using Navier-Stokes Equations and Level Set Methods. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Alessandro Santamaria, Alberto Traverso
2018	C	`conf`	Feedback Control on the Velocity Field and Source Term of a Normal Flow Equation. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Anna Rossi
2018	—	`conf`	Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CDC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, Daniele Simoni
2017	J	`jnl`	Fast Moving Horizon State Estimation for Discrete-Time Systems Using Single and Multi Iteration Descent Methods. IEEE Trans. Autom. Control. Angelo Alessandri, Mauro Gaggero
2017	J	`jnl`	Measuring the Energy Consumption of Cyber Security. IEEE Commun. Mag. Luca Caviglione, Mauro Gaggero, Enrico Cambiaso, Maurizio Aiello
2017	—	`conf`	Moving horizon state estimation for constrained discrete-time systems by using fast descent methods. CDC Angelo Alessandri, Mauro Gaggero
2017	C	`conf`	Parameter identification of the normal flow equation by using adaptive estimation. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2016	—	`conf`	Extended Kalman filtering to design optimal controllers of fronts generated by level set methods. CDC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2016	C	`conf`	Further results on the optimal control of fronts generated by level set methods. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Alberto Traverso
2016	C	`conf`	Model predictive control for the placement of virtual machines in cloud computing applications. ACC Mauro Gaggero, Luca Caviglione
2016	—	`conf`	Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods. CDC Angelo Alessandri, Mauro Gaggero
2016	C	`conf`	Optimal control of time instants for task replanning in robotic networks. ACC Donato Di Paola, Mauro Gaggero, Antonio Petitti, Luca Caviglione
2016	J	`jnl`	Predictive Control for Energy-Aware Consolidation in Cloud Datacenters. IEEE Trans. Control. Syst. Technol. Mauro Gaggero, Luca Caviglione
2016	J	`jnl`	Seeing the Unseen: Revealing Mobile Malware Hidden Communications via Energy Consumption and Artificial Intelligence. IEEE Trans. Inf. Forensics Secur. Luca Caviglione, Mauro Gaggero, Jean-François Lalande, Wojciech Mazurczyk, Marcin Urbanski
2015	B	`conf`	Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2015	B	`conf`	Lattice point sets for efficient kernel smoothing models. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014	—	`conf`	A predictive control approach for energy-aware consolidation of virtual machines in cloud computing. CDC Mauro Gaggero, Luca Caviglione
2014	B	`conf`	An analysis based on F-discrepancy for sampling in regression tree learning. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2014	B	`conf`	An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014	J	`jnl`	Approximate dynamic programming for stochastic Comput. Optim. Appl. Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2014	B	`conf`	Lattice sampling for efficient learning with Nadaraya-Watson local models. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2014	J	`jnl`	Low-discrepancy sampling for approximate dynamic programming with local approximators. Comput. Oper. Res. Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2014	C	`conf`	Optimal control of level sets dynamics. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2014	—	`conf`	Robust predictive control for the management of multi-echelon distribution chains. CDC Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2013	J	`jnl`	Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results. J. Optim. Theory Appl. Mauro Gaggero, Giorgio Gnecco, Marcello Sanguineti
2013	C	`conf`	Optimal control of PDE-based systems by using a finite-dimensional approximation scheme. ACC Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero
2013	J	`jnl`	Predictive Control of Container Flows in Maritime Intermodal Terminals. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Cristiano Cervellera, Mauro Gaggero
2013	B	`conf`	Quasi-random sampling for approximate dynamic programming. IJCNN Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis
2012	—	`conf`	Approximation structures with moderate complexity in functional optimization and dynamic programming. CDC Mauro Gaggero, Giorgio Gnecco, Thomas Parisini, Marcello Sanguineti, Riccardo Zoppoli
2012	J	`jnl`	Efficient kernel models for learning and approximate minimization problems. Neurocomputing Cristiano Cervellera, Mauro Gaggero, Danilo Macciò
2012	J	`jnl`	Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. IEEE Trans. Neural Networks Learn. Syst. Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli
2012	J	`jnl`	Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure. SIAM J. Optim. Giorgio Gnecco, Marcello Sanguineti, Mauro Gaggero
2011	—	`conf`	Integer tree-based search and mixed-integer optimal control of distribution chains. CDC/ECC Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2011	J	`jnl`	Min-Max and Predictive Control for the Management of Distribution in Supply Chains. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Mauro Gaggero, Flavio Tonelli
2011	J	`jnl`	Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero
2009	J	`jnl`	Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network. IEEE Trans. Control. Syst. Technol. Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
2008	J	`jnl`	Modeling and Feedback Control for Resource Allocation and Performance Analysis in Container Terminals. IEEE Trans. Intell. Transp. Syst. Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero, G. Soncin
2008	—	`conf`	Nonlinear predictive control for the management of container flows in maritime intermodal terminals. CDC Angelo Alessandri, Cristiano Cervellera, Marta Cuneo, Mauro Gaggero
2007	—	`conf`	Identification of freeway traffic dynamics using fluid and black-box nonlinear models. CDC Angelo Alessandri, Raffaele Bolla, Mauro Gaggero, Matteo Repetto
2005	—	`conf`	Multiresolution PWL approximations. ECCTD Mauro Gaggero, Mauro Parodi, Marco Storace