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Nikolaos P. Eleftheriou

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2024
[c6]
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Vassilis Alimisis, Andreas Papathanasiou, Konstantinos Cheliotis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis:
An Analog Classifier for Liver Disorders based on Centroid Machine Learning Model. MOCAST 2024: 1-4
[c5]
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Vassilis Alimisis, Andreas Papathanasiou, Konstantinos Cheliotis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis:
A Memristor-Equivalent Analog Integrated Neural Network for Air Quality Classification. MOCAST 2024: 1-4
[c4]
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Nikolaos P. Eleftheriou, Vassilis Alimisis, Paul P. Sotiriadis:
Low-Power Single-Stage Programmable CMOS LNA for Ku-Band Applications. MOCAST 2024: 1-4
2023
[c3]
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Vassilis Alimisis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis:
A Low-Power Analog Integrated Gaussian-based Neural Network Classifier with Application to Hepatitis Disease Recognition. ICM 2023: 172-177
[c2]
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Vassilis Alimisis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis:
A Low-Power Analog Integrated Deep Spatio-Temporal Inference Network with Application to Digit Classification. ICM 2023: 280-283
[c1]
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Vassilis Alimisis, Nikolaos P. Eleftheriou, Savvas Leventikidis, Paul P. Sotiriadis:
An Analog Integrated, Low-Power, Area-Efficient, Gilbert, Modulo-based Classifier with Application to Lung-Cancer Classification. ICM 2023: 317-320

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