Stefano De Blasi

According to our database, Stefano De Blasi authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Safe contextual Bayesian optimization integrated in industrial control for self-learning machines.

Stefano De Blasi, Maryam Bahrami, Elmar Engels, Alexander Gepperth

J. Intell. Manuf., February, 2024

2022

Machine Learning for Industrial Process Optimization.

Stefano De Blasi

PhD thesis, 2022

2021

KIcker: An Industrial Drive and Control Foosball System automated with Deep Reinforcement Learning.

Stefano De Blasi, Sebastian Klöser, Arne Müller, Robin Reuben, Fabian Sturm, Timo Zerrer

J. Intell. Robotic Syst., 2021

Multi-Pronged Safe Bayesian Optimization for High Dimensions.

Stefano De Blasi, Alexander Neifer, Alexander Gepperth

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

Next generation control units simplifying industrial machine learning.

Stefano De Blasi, Elmar Engels

Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

SASBO: Self-Adapting Safe Bayesian Optimization.

Stefano De Blasi, Alexander Gepperth

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Active Learning Approach for Safe Process Parameter Tuning.

Stefano De Blasi

Proceedings of the Machine Learning, Optimization, and Data Science, 2019