Nousi, P., Tsantekidis, A., Passalis, N., Ntakaris, A., Kanniainen, J., Tefas, A., Gabbouj, M.
& Iosifidis, A. (2019).
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data.
IEEE Access,
7, 64722 - 64736 . Artikel 8713851.
https://doi.org/10.1109/ACCESS.2019.2916793
Bajovic, D.
, Bakhtiarnia, A., Bravos, G., Brutti, A., Burkhardt, F., Cauchi, D., Chazapis, A., Cianco, C., Dall'Asen, N., Delic, V., Dimou, C., Djokic, D., Escobar-Molero, A.
, Esterle, L., Eyben, F., Farella, E., Festi, T., Geromitsos, A., Giakoumakis, G. ... Zammit, J. (2021).
MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments. I
2021 International Balkan Conference on Communications and Networking, BalkanCom 2021 (s. 143-147). IEEE.
https://doi.org/10.1109/BalkanCom53780.2021.9593258
Tran, D. T., Yamac, M., Degerli, A., Gabbouj, M.
& Iosifidis, A. (2021).
Multilinear compressive learning.
IEEE Transactions on Neural Networks and Learning Systems,
32(4), 1512-1524. Artikel 9070152.
https://doi.org/10.1109/TNNLS.2020.2984831
Tefas, A.
, Iosifidis, A. & Pitas, I. (2013).
Neural Networks for Digital Media Analysis and Description. I L. Iliadis, H. Papadopoulos & C. Jayne (red.),
Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I (s. 1-11). Springer.
https://doi.org/10.1007/978-3-642-41013-0_1
Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J.
& Iosifidis, A. (2023).
Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots.
Neural Computing and Applications,
35(25), 18519–18531.
https://doi.org/10.1007/s00521-023-08674-y
Baltakys, K., Baltakienė, M.
, Heidari, N., Iosifidis, A. & Kanniainen, J. (2023).
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance.
Expert Systems with Applications,
228, Artikel 120285.
https://doi.org/10.1016/j.eswa.2023.120285