Andrea Pozzi - RankMe

34 papers C 1Journal 24Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A differentiable and uncertainty-aware mutual information regularizer for bias mitigation. Neurocomputing Alessandro Incremona, Andrea Pozzi, Alessandro Guiscardi, Daniele Tessera
2025	J	`jnl`	Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. IEEE Access Enrico Barbierato, Alice Gatti, Alessandro Incremona, Andrea Pozzi, Daniele Toti
2025	J	`jnl`	Imitation learning-driven approximation of stochastic control models. Appl. Intell. Andrea Pozzi, Alessandro Incremona, Daniele Toti
2025	J	`jnl`	Mitigating exposure bias in large language model distillation: an imitation learning approach. Neural Comput. Appl. Andrea Pozzi, Alessandro Incremona, Daniele Tessera, Daniele Toti
2025	J	`jnl`	Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems. IEEE Access Andrea Pozzi, Alessandro Incremona, Daniele Toti
2025	J	`jnl`	Pedigree Painter (pepa): a tool for the visualization of genetic inheritance in chromosomal context. Bioinform. Andrea Pozzi
2025	J	`jnl`	Supporting Brainstorming with a Collaborative Platform or a Generative Artificial Intelligence Tool: An Exploratory Study. Cyberpsychology Behav. Soc. Netw. Katusha Gerardini, Eleonora Diletta Sarcinella, Francesca Borghesi, Andrea Pozzi, Andrea Gaggioli, Alice Chirico
2024	J	`jnl`	Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems. IEEE Access Federico Castelletti, Fabrizio Niro, Marco Denti, Daniele Tessera, Andrea Pozzi
2024	—	`conf`	Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study. MetroXRAINE Katusha Gerardini, Eleonora D. Sarcinella, Francesca Borghesi, Andrea Pozzi, Andrea Gaggioli, Alice Chirico
2024	J	`jnl`	Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids. IEEE Access Silvana Matrone, Andrea Pozzi, Emanuele Ogliari, Sonia Leva
2024	C	`conf`	Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. ACC Jorge Espin, Dong Zhang, Daniele Toti, Andrea Pozzi
2024	J	`jnl`	Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. CoRR Jorge Espin, Dong Zhang, Daniele Toti, Andrea Pozzi
2023	J	`jnl`	A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Comput. Chem. Eng. Andrea Pozzi, Scott J. Moura, Daniele Toti
2023	J	`jnl`	Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access Enrico Barbierato, Andrea Pozzi, Daniele Tessera
2023	J	`jnl`	Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics Andrea Pozzi, Enrico Barbierato, Daniele Toti
2023	J	`jnl`	Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. IEEE Access Andrea Pozzi, Daniele Toti
2023	J	`jnl`	Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem. Appl. Ontology Pierluigi Del Nostro, Gerhard Goldbeck, Andrea Pozzi, Daniele Toti
2023	J	`jnl`	Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors Andrea Pozzi, Enrico Barbierato, Daniele Toti
2023	J	`jnl`	Review and Alignment of Domain-Level Ontologies for Materials Science. IEEE Access Anne F. de Baas, Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Ilaria Maria Paponetti, Andrea Pozzi, Arkopaul Sarkar, Lan Yang, Francesco Antonio Zaccarini, Daniele Toti
2022	—	`conf`	A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. ICCA Andrea Pozzi, Scott J. Moura, Daniele Toti
2022	—	`conf`	Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. CCTA Andrea Pozzi, Scott J. Moura, Daniele Toti
2022	J	`jnl`	Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries. Comput. Chem. Eng. Andrea Pozzi, Daniele Toti
2021	—	`conf`	SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control. MED Behrouz Zoghdar-Moghadam-Shahrekohne, Andrea Pozzi, Davide Martino Raimondo
2020	J	`jnl`	Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. IEEE Trans. Control. Syst. Technol. Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo
2020	—	`conf`	Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura
2020	J	`jnl`	Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context. CoRR Andrea Pozzi, Xiangzhong Xie, Davide Martino Raimondo, René Schenkendorf
2020	—	`conf`	Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CCTA Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
2020	J	`jnl`	Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CoRR Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
2019	J	`jnl`	Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. CoRR Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo
2019	J	`jnl`	Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. CoRR Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo
2018	—	`conf`	Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells. CCTA Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo
2018	—	`conf`	Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach. ECC Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo
2018	—	`conf`	Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries. CDC Andrea Pozzi, Gabriele Ciaramella, Krishnakumar Gopalakrishnan, Stefan Volkwein, Davide Martino Raimondo
2018	J	`jnl`	Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics. CoRR Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein, Davide Martino Raimondo