Items where Author is "Ferdowsi, Saideh"

Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Greco, Alberto and Callara, Alejandro Luis and Cervera-Torres, Sergio and Alcañiz, Mariano and Vanello, Nicola and Citi, Luca (2023) Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023-06-22 - 2023-06-24, L'Aquila, Italy.

Marzebali, Mohammad Hoseintabar and Abolghasemi, Vahid and Ferdowsi, Saideh and Bazghandi, Reza (2022) Manipulation of stator current signature for rotor asymmetries fault diagnosis of wound rotor induction machine. IET Science, Measurement & Technology, 16 (9). pp. 523-532. DOI https://doi.org/10.1049/smt2.12126

Ameri, Rasoul and Alameer, Ali and Ferdowsi, Saideh and Nazarpour, Kianoush and Abolghasemi, Vahid (2022) Labeled projective dictionary pair learning: application to handwritten numbers recognition. Information Sciences, 609. pp. 489-506. DOI https://doi.org/10.1016/j.ins.2022.07.070

Abolghasemi, Vahid and Marzebali, Mohammad Hoseintabar and Ferdowsi, Saideh (2022) Recursive Singular Spectrum Analysis for Induction Machines Unbalanced Rotor Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 71. pp. 1-11. DOI https://doi.org/10.1109/tim.2021.3129492

Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Abolghasemi, Vahid and Li, Wen and Citi, Luca (2020) Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas. In: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020-10-26 - 2020-10-28, Cincinnati, OH, USA.

Ghonchi, Hamidreza and Fateh, Mansoor and Abolghasemi, Vahid and Ferdowsi, Saideh and Rezvani, Mohsen (2020) Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals. IET Signal Processing, 14 (3). pp. 142-153. DOI https://doi.org/10.1049/iet-spr.2019.0297

Ferdowsi, Saideh and Abolghasemi, Vahid (2018) Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Transactions on Biomedical Engineering, 65 (8). pp. 1717-1724. DOI https://doi.org/10.1109/tbme.2017.2770088