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ORCIDNicolò Bellarmino
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2020 – today
- 2023
[j1]Nicolò Bellarmino
, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero:
A Multilabel Active Learning Framework for Microcontroller Performance Screening. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3436-3449 (2023)- [c7]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero:
Enabling Inter-Product Transfer Learning on MCU Performance Screening. ATS 2023: 1-6 - [c6]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero:
Semi-Supervised Deep Learning for Microcontroller Performance Screening. ETS 2023: 1-6 - [c5]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero:
Feature Selection for Cost Reduction In MCU Performance Screening. LATS 2023: 1-6 - [c4]Nicolò Bellarmino, Riccardo Cantoro, Giovanni Squillero:
U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration. LOD (1) 2023: 364-378 - [i1]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:
COVID-19 Detection from Mass Spectra of Exhaled Breath. CoRR abs/2305.19211 (2023) - 2022
- [c3]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, 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:
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS 2022: 1-10 - [c2]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero:
Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data. IOLTS 2022: 1-7 - 2021
- [c1]Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Raffaele Martone, Ulf Schlichtmann, Giovanni Squillero:
Exploiting Active Learning for Microcontroller Performance Prediction. ETS 2021: 1-4
Coauthor Index
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