Nicolò Bellarmino

24 papers A 2B 3C 3Journal 6Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	M-EL2N: Data-Efficient Fault Injection Through Sample Difficulty Analysis. LATS Nicolò Bellarmino, Alberto Bosio, Ahmed Al Kaf, Mounir Benabdenbi, Régis Leveugle, Riccardo Cantoro
2026	J	`jnl`	OpRA: Optimizing Resiliency Assessment for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nicolò Bellarmino, Salvatore Barone, Salvatore Pappalardo, Alberto Bosio, Riccardo Cantoro
2025	J	`jnl`	COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening. IEEE Trans. Computers Nicolò Bellarmino, Riccardo Cantoro, Sophie M. Fosson, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2025	C	`conf`	DEAR-CNN: Data-Efficient Assessment of Resiliency in Convolutional Neural Networks. DDECS Nicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sánchez
2025	—	`conf`	DOC: Detection of On-Line Failures in CNNs. LATS Vittorio Turco, Nicolò Bellarmino, Annachiara Ruospo, Riccardo Cantoro, Ernesto Sánchez
2025	J	`jnl`	Deep Learning Strategies for Labeling and Accuracy Optimization in Microcontroller Performance Screening. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2025	—	`conf`	Device-Aware Test for Anomalous Charge Trapping in FeFETs. ASP-DAC Sicong Yuan, Changhao Wang, Moritz Fieback, Hanzhi Xun, Mottaqiallah Taouil, Xiuyan Li, Danyang Chen, Lin Wang, Nicolò Bellarmino, Riccardo Cantoro, Said Hamdioui
2025	A	`conf`	Device-Aware Test for Threshold Voltage Shifting in FeFET. ITC Changhao Wang, Sicong Yuan, Nima Kolahimahmoudi, Hanzhi Xun, Nicolò Bellarmino, Danyang Chen, Chujun Yin, Mottaqiallah Taouil, Moritz Fieback, Xiuyan Li, Lin Wang, Chaobo Li, Riccardo Cantoro, Said Hamdioui
2025	—	`conf`	Grouped Feature Selection for SMONs Placement in MCU Performance Screening. LATS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Giovanni Squillero
2025	C	`conf`	In-Context Learning for Microcontroller Performance Screening Using Tabular Foundation Models. DSD Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Giovanni Squillero
2025	A	`conf`	Minimal Supervision, Maximum Accuracy: TabPFN for Microcontroller Performance Prediction. ITC Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Annachiara Ruospo
2025	J	`jnl`	SAFFIRA A Framework for Assessing the Reliability of Systolic-Array DNN Accelerators. J. Circuits Syst. Comput. Salvatore Pappalardo, Nicolò Bellarmino, Bastien Deveautour, Alberto Bosio, Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin
2024	—	`—`	Computational Intelligence for Computer-Aided Design Machine Learning Techniques for Microcontrollers Performance Screenings. Nicolò Bellarmino
2024	—	`conf`	Embedded Feature Selection in MCU Performance Screening. DTTIS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2024	—	`conf`	Investigating on Gradient Regularization for Testing Neural Networks. LOD (2) Nicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero
2023	J	`jnl`	A Multilabel Active Learning Framework for Microcontroller Performance Screening. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero
2023	J	`jnl`	COVID-19 Detection from Mass Spectra of Exhaled Breath. CoRR 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, Stefano Taborelli
2023	—	`conf`	Enabling Inter-Product Transfer Learning on MCU Performance Screening. ATS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2023	—	`conf`	Feature Selection for Cost Reduction In MCU Performance Screening. LATS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2023	B	`conf`	Semi-Supervised Deep Learning for Microcontroller Performance Screening. ETS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2023	—	`conf`	U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. LOD (1) Nicolò Bellarmino, Riccardo Cantoro, Giovanni Squillero
2022	C	`conf`	Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data. IOLTS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2022	B	`conf`	Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS Francesco Angione, Davide Appello, Joseph Aribido, Jyotika Athavale, Nicolò Bellarmino, Paolo Bernardi, Riccardo Cantoro, Corrado De Sio, Tommaso Foscale, Gabriele Gavarini, Juan-David Guerrero-Balaguera, Martin Huch, Giusy Iaria, Tobias Kilian, Riccardo Mariani, Raffaele Martone, Annachiara Ruospo, Ernesto Sánchez, Ulf Schlichtmann, Giovanni Squillero, Matteo Sonza Reorda, Luca Sterpone, Vincenzo Tancorre, Roberto Ugioli
2021	B	`conf`	Exploiting Active Learning for Microcontroller Performance Prediction. ETS Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero