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Paola Vitolo
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Journal Articles
- 2024
- [j2]Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo:
Automatic Audio Feature Extraction for Keyword Spotting. IEEE Signal Process. Lett. 31: 161-165 (2024) - 2023
- [j1]Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Danilo Pau, Gian Domenico Licciardo:
A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS. IEEE Trans. Circuits Syst. II Express Briefs 70(4): 1595-1599 (2023)
Conference and Workshop Papers
- 2024
- [c7]Andrea Fasolino, Paola Vitolo, Rosalba Liguori, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo:
Dynamically Adaptive Accumulator for in-sensor ANN Hardware Accelerators. ISCAS 2024: 1-5 - 2023
- [c6]Tommaso Addabbo, Gian Domenico Licciardo, Riccardo Moretti, Alfredo Rubino, Filippo Spinelli, Valerio Vignoli, Paola Vitolo:
Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation. ApplePies 2023: 291-296 - [c5]Paola Vitolo, Danilo Pau, Gian Domenico Licciardo, Massimiliano Pesaturo, Stefano Bosco, Santo Pennino:
Tiny compensation of pressure drift measurements due to long exposures to high temperatures. I2MTC 2023: 1-5 - [c4]Gian Domenico Licciardo, Paola Vitolo, Stefano Bosco, Santo Pennino, Danilo Pau, Massimiliano Pesaturo, Luigi Di Benedetto, Rosalba Liguori:
Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors. ISCAS 2023: 1-5 - [c3]Filippo Spinelli, Riccardo Moretti, Tommaso Addabbo, Paola Vitolo, Gian Domenico Licciardo:
Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring. PRIME 2023: 221-224 - 2022
- [c2]Paola Vitolo, Gian Domenico Licciardo, Anna Chiara Amendola, Luigi Di Benedetto, Rosalba Liguori, Alfredo Rubino, Danilo Pau:
Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications. AICAS 2022: 154-157 - 2021
- [c1]Paola Vitolo, Gian Domenico Licciardo, Luigi Di Benedetto, Rosalba Liguori, Alfredo Rubino, Danilo Pau:
Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing. ICECS 2021: 1-5
Informal and Other Publications
- 2024
- [i1]Paola Vitolo, George Psaltakis, Michael A. Tomlinson, Gian Domenico Licciardo, Andreas G. Andreou:
Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT. CoRR abs/2405.01419 (2024)
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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