Paper by ECE-NTUA Ph.D. Candidate V. Alimisis, Diploma Students A. Kamperi and N. P. Eleftheriou and Prof. P. P. Sotiriadis received the Best Runner-Up PhD Symposium Paper Award in the Springer FAIEMA 2023 Conference
We are pleased to announce that the paper entitled "A Low-Power Analog Bell-shaped Classifier based on Parallel-connected Gaussian function circuits" received the Best Runner-Up PhD Symposium Paper Award in the Springer 1st International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications; 25th - 26th September 2023, Athens, Greece.
The Award-Winning paper was co-authored by Vassilis Alimisis (Ph.D candidate, ECE-NTUA), Argyro Kamperi (Diploma Student, ECE-NTUA), Nikolaos P. Eleftheriou (Diploma Student, ECE-NTUA), and Paul P. Sotiriadis (Professor, ECE-NTUA, Fellow IEEE).
ABSTRACT: In this study, a novel approach is presented for developing ultra-low power analog classifiers capable of effectively handling multiple input features while maintaining high levels of accuracy and minimizing power consumption. The proposed methodology is built upon a Voting model that leverages Gaussian likelihood functions. To evaluate the performance of the proposed methodology, a comparison is conducted against the widely used analog Bell-shaped classifiers.
Real-life breast cancer dataset is employed for this comparison. The models are trained and the results are processed using the Python programming language. The hardware design and result processing utilize Cadence IC Suite, implementing the TSMC 90 nm CMOS process technology.