Loris Cannelli

18 papers C 1Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Capacity estimation of Lithium-ion batteries through a Machine Learning approach.
Math. Comput. Simul.
Simone Barcellona, Lorenzo Codecasa, Silvia Colnago, Loris Cannelli, Christian Laurano, Gabriele Maroni
2025 J jnl
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.
Eur. J. Control
Gabriele Maroni, Loris Cannelli, Dario Piga
2025 — conf
Investigation of the Relationship between High and Low Frequency Resistances of Li-ion Batteries: A Machine Learning Approach.
MetroXRAINE
Simone Barcellona, Loris Cannelli, Lorenzo Codecasa, Silvia Colnago, Loredana Cristaldi, Christian Laurano, Gabriele Maroni
2025 C conf
Neural Network-Enhanced Self-Organization for Efficient Resource Allocation in Distributed Edge Computing Environments.
ICFEC
Samira Hayat, Melanie Schranz, Loris Cannelli
2024 — conf
Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach.
MetroXRAINE
Simone Barcellona, Loris Cannelli, Lorenzo Codecasa, Silvia Colnago, Loredana Cristaldi, Christian Laurano, Gabriele Maroni
2023 — conf
Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach.
MetroXRAINE
Simone Barcellona, Loris Cannelli, Silvia Colnago, Christian Laurano, Luigi Piegari
2023 J jnl
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.
CoRR
Gabriele Maroni, Loris Cannelli, Dario Piga
2023 J jnl
Multi-Agent Active Learning for Distributed Black-Box Optimization.
IEEE Control. Syst. Lett.
Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga
2023 J jnl
Split-Boost Neural Networks.
CoRR
Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin
2022 J jnl
Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.
IEEE Trans. Computational Imaging
Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying
2021 J jnl
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions.
IEEE Trans. Autom. Control.
Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, Vyacheslav Kungurtsev
2020 J jnl
Asynchronous parallel algorithms for nonconvex optimization.
Math. Program.
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
2020 J jnl
Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning.
CoRR
Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr
2017 Misc conf
Asynchronous parallel nonconvex large-scale optimization.
ICASSP
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
2017 — conf
Essentially cyclic asynchronous nonconvex large-scale optimization.
SPAWC
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
2017 — conf
Multi-Agent asynchronous nonconvex large-scale optimization.
CAMSAP
Loris Cannelli, Francisco Facchinei, Gesualdo Scutari
2016 J jnl
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence.
CoRR
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari
2016 Misc conf
Parallel asynchronous lock-free algorithms for nonconvex big-data optimization.
ACSSC
Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev