2024
- A. Tsakyridis, M. Moralis-Pegios, G. Giamougiannis, M. Kirtas, N. Passalis, A. Tefas and N. Pleros, "Photonic neural networks and optics-informed deep learning fundamentals", NAPL Photonics, AIP Publishing, Vol. 9, 2024.
- P. Nousi and A. Tefas, "Deep label embedding learning for classification", Elsevier, Vol. 163, Artivle: 111925, 2024.
- L. Avramelou, P. Nousi, N. Passalis and A. Tefas, "Deep reinforcement learning for financial trading using multi-modal features", Expert Systems with Applications, Vol. 238, 121849, 2024.
- O. Stentoumi, P. Nousi, M.Tzelepi and A. Tefas, "AnIO: anchored input–output learning for time-series forecasting", Neural Computing and Applications, Springer London, pp. 2683-2693, 2024.
- S. Kovaios, C. Pappas, M. Moralis-Pegios, A. Tsakyridis, G. Giamougiannis, M. Kirtas, J. V. Kerrebrouck, G. Coudyzer, X. Yin, N. Passalis, A. Tefas and N. Pleros, "Programmable Tanh- and ELU-Based Photonic Neurons in Optics-Informed Neural Networks", Neural Computing and Applications, Springer London, pp. 3652 - 3660, 2024.
- N. Karantaglis, N. Passalis and A. Tefas, "Semi-supervised learning for on-street parking violation prediction using graph convolutional networks", Neural Computing and Applications, Springer London, pp. 1-10, 2024.
- I. Oleksiienko, P. Nousi, N. Passalis, A. Tefas and A. Iosifidis, "Vpit: Real-time embedded single object 3d tracking using voxel pseudo images", Neural Computing and Applications, Springer London, pp. 1-14, 2024.
- E. Charizani, E. Dushku, M. Kyritsi, E. T. Metallinou, A. Karathodorou, E. Amanetidou, M. Kokkaleniou, N. Passalis, A. Tefas, A. Staikou and Minas Yiangou, "Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model", Fish and Shellfish Immunology, Academic Press, Vol. 152, Article: 109788, 2024.
- V. Moustakidis, N. Passalis and A. Tefas, "Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning", Pattern Recognition Letters, Vol.186, pp, 243-249, 2024.
- M. Kirtas, N. Passalis and A. Tefas, "Multiplicative update rules for accelerating deep learning training and increasing robustness", Neurocomputing, Vol. 576, 127352, 2024.
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