Konstantinos Balaskas

According to our database, Konstantinos Balaskas authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits.

Ilias Sertaridis, Spyridon Besias, Florentia Afentaki, Konstantinos Balaskas, Georgios Zervakis

CoRR, February, 2025

Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators.

Aikaterini Maria Panteleaki, Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Iraklis Anagnostopoulos

CoRR, February, 2025

Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs.

Spyridon Besias, Ilias Sertaridis, Florentia Afentaki, Konstantinos Balaskas, Georgios Zervakis

CoRR, January, 2025

2024

Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization.

Konstantinos Balaskas, Heba Khdr, Mohammed Bakr Sikal, Fabian Kreß, Kostas Siozios, Jürgen Becker, Jörg Henkel

IEEE Embed. Syst. Lett., December, 2024

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization.

Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel

IEEE Trans. Emerg. Top. Comput., 2024

Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators.

Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel

CoRR, 2024

Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction.

Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2023

Differentiable Slimming for Memory-Efficient Transformers.

Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel

IEEE Embed. Syst. Lett., December, 2023

2022

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization.

Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits.

Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2021

Automated Design Approximation to Overcome Circuit Aging.

Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Code-free deep learning for multi-modality medical image classification.

Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane

Nat. Mach. Intell., 2021

Fatigue Detection Using Deep Long Short-Term Memory Autoencoders.

Konstantinos Balaskas, Kostas Siozios

Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

2019

ECG Analysis and Heartbeat Classification Based on Shallow Neural Networks.

Konstantinos Balaskas, Kostas Siozios

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.

Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas

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.

Tiziano Ronchetti, Peter Maloca, Emanuel Ramos de Carvalho, Tjebo F. C. Heeren, Konstantinos Balaskas, Adnan Tufail, Catherine Egan, Mali Okada, Selim Orgül, Christoph Jud, Philippe C. Cattin

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018