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Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics.

, , , , , and . IEEE Trans. Cogn. Dev. Syst., 14 (1): 50-63 (2022)

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Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives., , , , and . IEEE Comput. Intell. Mag., 17 (1): 16-33 (2022)Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics., , , , , and . IEEE Trans. Cogn. Dev. Syst., 14 (1): 50-63 (2022)A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence., , and . CoRR, (2022)Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning., , , , , , and . CoRR, (2021)Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps., , and . FUZZ-IEEE, page 1-6. IEEE, (2017)A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Developmental Neuroscience., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2020)A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence., , and . IEEE Trans. Artif. Intell., 4 (3): 573-586 (June 2023)Explainable artificial intelligence for functional brain development analysis: methods and applications.. University of Essex, Colchester, UK, (2022)British Library, EThOS.Towards Gamers' Experience Level Decoding with Optical Brain Imaging., , , , , , , and . CEEC, page 47-52. IEEE, (2019)Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning., , , , , , and . Sensors, 20 (9): 2594 (2020)