Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. - Florentia Afentaki; Gurol Saglam; Argyris Kokkinis; Kostas Siozios; Georgios Zervakis 001; Mehdi B. Tahoori (ICCAD, 2023)

Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. - Florentia Afentaki; Michael Hefenbrock; Georgios Zervakis 001; Mehdi B. Tahoori (DATE, 2024)

Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. - Priyanjana Pal; Florentia Afentaki; Haibin Zhao; Gurol Saglam; Michael Hefenbrock; Georgios Zervakis 001; Michael Beigl; Mehdi B. Tahoori (ETS, 2024)

Sequential Printed MLP Circuits for Super TinyML Multi-Sensory Applications. - Gurol Saglam; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (CoRR, 2024)

Reducing ADC Front-End Costs During Training of On-Sensor Printed Multilayer Perceptrons. - Florentia Afentaki; Paula Carolina Lozano Duarte; Georgios Zervakis 001; Mehdi B. Tahoori (IEEE Embed. Syst. Lett., 2024)

Design and In-training Optimization of Binary Search ADC for Flexible Classifiers. - Paula Carolina Lozano Duarte; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (ASP-DAC, 2025)

Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications. - Gurol Saglam; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (ASP-DAC, 2025)

Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs. - Spyridon Besias; Ilias Sertaridis; Florentia Afentaki; Konstantinos Balaskas; Georgios Zervakis 001 (DATE, 2025)

Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits. - Ilias Sertaridis; Spyridon Besias; Florentia Afentaki; Konstantinos Balaskas; Georgios Zervakis 001 (ISCAS, 2025)