ECG analysis and heartbeat classification based on shallow neural networks K Balaskas, K Siozios 2019 8th International conference on modern circuits and systems …, 2019 | 25 | 2019 |
Automated design approximation to overcome circuit aging K Balaskas, G Zervakis, H Amrouch, J Henkel, K Siozios IEEE Transactions on Circuits and Systems I: Regular Papers 68 (11), 4710-4721, 2021 | 7 | 2021 |
Approximate decision trees for machine learning classification on tiny printed circuits K Balaskas, G Zervakis, K Siozios, MB Tahoori, J Henkel 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022 | 6 | 2022 |
Fatigue detection using deep long short-term memory autoencoders K Balaskas, K Siozios 2021 10th International Conference on Modern Circuits and Systems …, 2021 | 5 | 2021 |
Variability-aware approximate circuit synthesis via genetic optimization K Balaskas, F Klemme, G Zervakis, K Siozios, H Amrouch, J Henkel IEEE Transactions on Circuits and Systems I: Regular Papers 69 (10), 4141-4153, 2022 | 3 | 2022 |
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization K Balaskas, A Karatzas, C Sad, K Siozios, I Anagnostopoulos, G Zervakis IEEE Transactions on Emerging Topics in Computing, 2024 | 1 | 2024 |
Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators K Pfeiffer, K Balaskas, K Siozios, J Henkel arXiv preprint arXiv:2402.18569, 2024 | | 2024 |
Differentiable Slimming for Memory-Efficient Transformers N Penkov, K Balaskas, M Rapp, J Henkel IEEE Embedded Systems Letters, 2023 | | 2023 |