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

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)

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

U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. - Nicolò Bellarmino; Riccardo Cantoro; Giovanni Squillero (LOD (1), 2023)

COVID-19 Detection from Mass Spectra of Exhaled Breath. - Nicolò Bellarmino; Giorgio Bozzini; Riccardo Cantoro; Francesco Castelletti; Michele Castelluzzo; Carla Ciricugno; Raffaele Correale; Daniela Dalla Gasperina; Francesco Dentali; Giovanni Poggialini; Piergiorgio Salerno; Giovanni Squillero; et al. (CoRR, 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)

Investigating on Gradient Regularization for Testing Neural Networks. - Nicolò Bellarmino; Alberto Bosio; Riccardo Cantoro; Annachiara Ruospo; Ernesto Sánchez 001; Giovanni Squillero (LOD (2), 2024)

Computational Intelligence for Computer-Aided Design Machine Learning Techniques for Microcontrollers Performance Screenings. - Nicolò Bellarmino (2024)

Device-Aware Test for Anomalous Charge Trapping in FeFETs. - Sicong Yuan; Changhao Wang; Moritz Fieback; Hanzhi Xun; Mottaqiallah Taouil; Xiuyan Li; Danyang Chen; Lin Wang 111; Nicolò Bellarmino; Riccardo Cantoro; Said Hamdioui (ASP-DAC, 2025)

DEAR-CNN: Data-Efficient Assessment of Resiliency in Convolutional Neural Networks. - Nicolò Bellarmino; Alberto Bosio; Riccardo Cantoro; Annachiara Ruospo; Ernesto Sánchez 001 (DDECS, 2025)

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

DOC: Detection of On-Line Failures in CNNs. - Vittorio Turco; Nicolò Bellarmino; Annachiara Ruospo; Riccardo Cantoro; Ernesto Sánchez 001 (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)