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Κα Ελπινίκη Μακρή - Δημοσιεύσεις

Δημοσιεύσεις σε Περιοδικά

  1. P. Kampaktsis, I. Doulamis, R. Asleh, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, A. Drosou, H. Alnsasra, E. Duque, A. Briasoulis, "Characteristics, Predictors, and Outcomes of Early mTOR Inhibitor Use After Heart Transplantation: Insights From the UNOS Database." Journal of the American Heart Association, 11(17), e025507. (2022).

Δημοσιεύσεις σε Συνέδρια

  1. G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA." In Proceedings of the Northern Lights Deep Learning Workshop (Vol. 4). (2023, January). https://septentrio.uit.no/index.php/nldl/article/view/6825.
  2. P. Kampaktsis, I. Doulamis, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, P. Alvarez, A. Drosou, A. Briasoulis, "Characteristics, Predictors and Outcomes of Early Mammalian Target OF Rapamycin (mTOR) Inhibitor Use after Heart Transplantation; Insights from the United Network for Organ Sharing (UNOS) Database." Journal of the American College of Cardiology, 79(9_Supplement), pp.492-492. 2022.
  3. G. Agrafiotis, E. Makri, I. Flionis, A. Lalas, K. Votis, D. Tzovaras, "Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion." In Proceedings of the 17th International Conference on Availability, Reliability and Security (pp. 1-7). (2022, August). https://dl.acm.org/doi/abs/10.1145/3538969.3544473.
  4. A. Swarup, A. Vella, J. Frattolin, I. Kalamaras, A. Drosou, E. Makri, J. Moore, P. Thiruchelvam, "A meta-analysis to determine the risk of breast cancer treatment combinations on the incidence of breast cancer-related lymphedema." In Annals of Surgical Oncology (Vol. 29, No. SUPPL 1, pp. 178-179). One New York Plaza, Suite 4600, New York, NY, United States: Springer. 2022, April.
  5. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits." In 2022 Data Compression Conference (DCC) (pp. 470-470). IEEE. (2022, March). https://ieeexplore.ieee.org/abstract/document/9810741.
  6. A. Swarup, A. Vella, I. Grujic, J. Frattolin, E. Makri, I. Kalamaras, A. Drosou, P. Thiruchelvam, J. Moore, "Treatment-based risk factors leading to breast cancer-related lymphoedema: a meta-analysis", 10th International Conference of the International Lymphoedema Framework, ILF 2021.
  7. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Adaptation of Neural Network Architectures for Photonic FPGA Circuits", 1st Workshop on Neuromorphic Photonics, Thessaloniki, Greece, December 6-7, 2021.
  8. C. Zarakovitis, D. Klonidis, Z. Salazar, A. Prudnikova, A. Bozorgchenani, Q. Ni, C. Klitis, G. Guirgis, A. Cavalli, N. Sgouros, E. Makri, A. Lalas, K. Votis, G. Amponis, W. Mallouli, "SANCUS: Multi-Layers Vulnerability Management Framework for Cloud-Native 5G Networks." In Proceedings of the 16th International Conference on Availability, Reliability and Security (pp. 1-10). (2021, August). https://dl.acm.org/doi/abs/10.1145/3465481.3470092.
  9. E. Makri, I. Koskinas, A. Tsolakis, D. Ioannidis, D. Tzovaras, "Short Term Net Imbalance Volume Forecasting Through Machine and Deep Learning: A UK Case Study." In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 377-389). Springer, Cham. 2021, June.

Κεφάλαια Βιβλίων

  1. G. Skaltsis, S. Zikos, E. Makri, C. Timplalexis, D. Ioannidis, D. Tzovaras, "Exploiting the Flexibility Value of Virtual Power Plants through Market Participation in Smart Energy Communities." In Virtual Power Plant Solution for Future Smart Energy Communities (pp. 55-78). CRC Press. (2023).