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Journal article

KARLAFTIS, V.M., GIORGIO, J., VÉRTES, P.E., WANG, R., SHEN, Y., TINO, P., WELCHMAN, A. and KOURTZI, Z., 2019. Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning. Nature Human Behaviour, 3 (3), pp. 297-307. ISSN 2397-3374

GIORGIO, J., KARLAFTIS, V.M., WANG, R., SHEN, Y., TINO, P., WELCHMAN, A. and KOURTZI, Z., 2018. Functional brain networks for learning predictive statistics. Cortex, 107, pp. 204-219. ISSN 0010-9452

KARLAFTIS, V.M., WANG, R., SHEN, Y., TINO, P., WILLIAMS, G., WELCHMAN, A.E. and KOURTZI, Z., 2018. White-matter pathways for statistical learning of temporal structures. eNeuro, 5 (3): e0382. ISSN 2373-2822

WANG, R., SHEN, Y., TINO, P., WELCHMAN, A.E. and KOURTZI, Z., 2017. Learning predictive statistics from temporal sequences: dynamics and strategies. Journal of Vision, 17 (12), p. 1. ISSN 1534-7362

WANG, R., SHEN, Y., TINO, P., WELCHMAN, A.E. and KOURTZI, Z., 2017. Learning predictive statistics: strategies and brain mechanisms. The Journal of Neuroscience, 37 (35), pp. 8412-8427. ISSN 0270-6474

SHEN, Y., TINO, P. and TSANEVA-ATANASOVA, K., 2017. Classification framework for partially observed dynamical systems. Physical Review E, 95 (4): 043303. ISSN 2470-0045

ALAHMADI, H.H., SHEN, Y., FOUAD, S., LUFT, C.D.B., BENTHAM, P., KOURTZI, Z. and TINO, P., 2016. Classifying cognitive profiles using machine learning with privileged information in mild cognitive impairment. Frontiers in Computational Neuroscience, 10: 117. ISSN 1662-5188

Chapter in book

CHEN, X., SHEN, Y., ZAVALA, E., TSANEVA-ATANASOVA, K., UPTON, T., RUSSELL, G. and TINO, P., 2021. SOMiMS - topographic mapping in the model space. In: H. YIN, D. CAMACHO, P. TINO, R. ALLMENDINGER, A.J. TALLÓN-BALLESTEROS, K. TANG, S.-B. CHO, P. NOVAIS and S. NASCIMENTO, eds., Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, 25-27 November 2021, proceedings. Lecture notes in computer science (13113). Cham: Springer International Publishing, pp. 502-510. ISBN 9783030916077

TURABEE, G., SHEN, Y. and COSMA, G., 2019. Interpreting the filters in the first layer of a convolutional neural network for sleep stage classification. In: Advances in computational intelligence systems. Cham, Switzerland: Springer. (Forthcoming)

SUN, S. and SHEN, Y., 2019. "Parallel-tempering" - assisted hybrid Monte Carlo algorithm for Bayesian inference in dynamical systems. In: Advances in computational intelligence systems. Cham, Switzerland: Springer. (Forthcoming)