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	1-6 from 6 Results - PARAFAC
1	I. Siaminou and A. P. Liavas, "An accelerated stochastic gradient for canonical polyadic decomposition," in 2021 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, 2021, pp. 1785-1789, doi: 10.23919/EUSIPCO54536.2021.9616029.	2023-05-26
2	Ioannis-Marios Papagiannakos, "Efficient optimization algorithms for large tensor processing and applications", Master Thesis, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2022	2022-02-09
3	Ioannis-Marios Papagiannakos, "Parallel optimization algorithms for very large tensor decompositions", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019	2019-10-04
4	P. A. Karakasis and A. P. Liavas, "Alternating optimization for tensor factorization with orthogonality constraints: algorithm and parallel implementation," in 16th International Conference on High Performance Computing and Simulation, 2018, pp. 439-444. doi: 10.1109/HPCS.2018.00076	2019-05-31
5	K. Huang, N. D. Sidiropoulos and A. P. Liavas, "A flexible and efficient algorithmic framework for constrained matrix and tensor factorization," IEEE Trans. Signal Process., vol. 64, no. 19, pp. 5052-5065, Oct. 2016. doi: 10.1109/TSP.2016.2576427	2018-10-08
6	A. P. Liavas, G. Kostoulas, G. Lourakis, K. Huang and N. D. Sidiropoulos, "Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization," in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017, pp. 5895-5899. doi: 10.1109/ICASSP.2017.7953287	2018-05-08