Konstantinos Balaskas
Orcid: 0000-0003-2886-6896
According to our database1,
Konstantinos Balaskas
authored at least 16 papers
between 2018 and 2025.
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Bibliography
2025
Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits.
CoRR, February, 2025
Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators.
CoRR, February, 2025
Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs.
CoRR, January, 2025
2024
IEEE Embed. Syst. Lett., December, 2024
IEEE Trans. Emerg. Top. Comput., 2024
Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators.
CoRR, 2024
Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024
2023
IEEE Embed. Syst. Lett., December, 2023
2022
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Nat. Mach. Intell., 2021
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021
2019
Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019
A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
2018
Feasibility Study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018