Machine Learning based Performance Prediction of Microcontrollers using Speed Monitors. - Riccardo Cantoro; Martin Huch; Tobias Kilian; Raffaele Martone; Ulf Schlichtmann; Giovanni Squillero (ITC, 2020)

Exploiting Active Learning for Microcontroller Performance Prediction. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Raffaele Martone; Ulf Schlichtmann; Giovanni Squillero (ETS, 2021)

A Scalable Design Flow for Performance Monitors Using Functional Path Ring Oscillators. - Tobias Kilian; Heiko Ahrens; Daniel Tille; Martin Huch; Ulf Schlichtmann (ITC, 2021)

Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. - Francesco Angione; Davide Appello; J. Aribido; Jyotika Athavale; Nicolò Bellarmino; Paolo Bernardi; Riccardo Cantoro; Corrado De Sio; Tommaso Foscale; Gabriele Gavarini; J. Guerrero; Martin Huch; et al. (ETS, 2022)

Reducing Routing Overhead by Self-Enabling Functional Path Ring Oscillators. - Tobias Kilian; Markus Hanel; Daniel Tille; Martin Huch; Ulf Schlichtmann (ETS, 2022)

Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (IOLTS, 2022)

A Path Selection Flow for Functional Path Ring Oscillators using Physical Design Data. - Tobias Kilian; Markus Hanel; Daniel Tille; Martin Huch; Ulf Schlichtmann (ITC, 2022)

Enabling Inter-Product Transfer Learning on MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (ATS, 2023)

An efficient High-Volume Production Performance Screening using On-Chip Ring Oscillators. - Tobias Kilian; Abhishek Sengupta; Daniel Tille; Martin Huch; Ulf Schlichtmann (DFT, 2023)

Semi-Supervised Deep Learning for Microcontroller Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (ETS, 2023)

Feature Selection for Cost Reduction In MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (LATS, 2023)

Performance Screening Using Functional Path Ring Oscillators. - Tobias Kilian; Daniel Tille; Martin Huch; Markus Hanel; Ulf Schlichtmann (IEEE Trans. Very Large Scale Integr. Syst., 2023)

A Multilabel Active Learning Framework for Microcontroller Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Raffaele Martone; Ulf Schlichtmann; Giovanni Squillero (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Embedded Feature Selection in MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (DTTIS, 2024)

On the Relation Between Reliability and Entropy in Physical Unclonable Functions. - Vasilii Kulagin; Sergio Vinagrero Gutierrez; Tobias Kilian; Daniel Tille; Ulf Schlichtmann; Giorgio Di Natale; Elena-Ioana Vatajelu (IEEE Des. Test, 2024)

Grouped Feature Selection for SMONs Placement in MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Giovanni Squillero (LATS, 2025)

COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Sophie M. Fosson; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (IEEE Trans. Computers, 2025)

Deep Learning Strategies for Labeling and Accuracy Optimization in Microcontroller Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)