Gabriele Maroni

Orcid: 0000-0002-4731-7238

According to our database1, Gabriele Maroni authored at least 14 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.
Eur. J. Control, 2025

2024
Enhanced Transformer architecture for in-context learning of dynamical systems.
CoRR, 2024

LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides.
CoRR, 2024

Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Split-Boost Neural Networks.
CoRR, 2023

Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
A kernel-based control approach for multi-period assets allocation based on lower partial moments.
Eng. Appl. Artif. Intell., 2022

2019
Partially Structured Robotic Picking for Automation of Tomato Transplantation.
Proceedings of the IEEE International Conference on Mechatronics, 2019

A robust design strategy for stock trading via feedback control.
Proceedings of the 17th European Control Conference, 2019

2018
A Computer Vision Algorithm for the Estimation of the Human Hair Diameter.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

Stock Trading Via Feedback Control: an Extremum Seeking Approach.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

2017
Unsupervised learning of fundamental emotional states via word embeddings.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Automated detection, extraction and counting of acne lesions for automatic evaluation and tracking of acne severity.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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