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Saideh Ferdowsi
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2020 – today
- 2023
- [c13]Saideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Alberto Greco, Alejandro Luis Callara, Sergio Cervera-Torres, Mariano Alcañiz, Nicola Vanello, Luca Citi:
Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. CBMS 2023: 858-863 - [c12]Sergio Cervera-Torres, Maria Eleonora Minissi, Alberto Greco, Alejandro Luis Callara, Saideh Ferdowsi, Luca Citi, Luna Maddalon, Irene Alice Chicchi Giglioli, Mariano Alcañiz:
Modulating Virtual Affective Elicitation by Human Body Odors: Advancing Research on Social Signal Processing in Virtual Reality. HCI (9) 2023: 317-327 - 2022
- [j14]Rasoul Ameri, Ali Alameer, Saideh Ferdowsi, Kianoush Nazarpour, Vahid Abolghasemi:
Labeled projective dictionary pair learning: application to handwritten numbers recognition. Inf. Sci. 609: 489-506 (2022) - [j13]Vahid Abolghasemi, Mohammad Hoseintabar Marzebali, Saideh Ferdowsi:
Recursive Singular Spectrum Analysis for Induction Machines Unbalanced Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c11]Hamidreza Ghonchi, Saideh Ferdowsi, Vahid Abolghasemi:
Common Spatial Pattern with Deep Learning for Fetal Heart Rate Monitoring. SiPS 2022: 1-6 - 2020
- [j12]Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Deep recurrent-convolutional neural network for classification of simultaneous EEG-fNIRS signals. IET Signal Process. 14(3): 142-153 (2020) - [c10]Saideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Vahid Abolghasemi, Wen Li, Luca Citi:
Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas. BIBE 2020: 513-518 - [c9]Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Spatio-temporal deep learning for EEG-fNIRS brain computer interface. EMBC 2020: 124-127 - [i1]Rasool Ameri, Saideh Ferdowsi, Ali Alameer, Vahid Abolghasemi, Kianoush Nazarpour:
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning. CoRR abs/2003.11700 (2020)
2010 – 2019
- 2018
- [j11]Saideh Ferdowsi, Vahid Abolghasemi:
Multi layer spectral decomposition technique for ERD estimation in EEG μ rhythms: An EEG-fMRI study. Neurocomputing 275: 1836-1845 (2018) - [j10]Saideh Ferdowsi, Vahid Abolghasemi:
Simultaneous BOLD detection and incomplete fMRI data reconstruction. Medical Biol. Eng. Comput. 56(4): 599-610 (2018) - [j9]Vahid Abolghasemi, Mingyang Chen, Ali Alameer, Saideh Ferdowsi, Jonathon A. Chambers, Kianoush Nazarpour:
Incoherent Dictionary Pair Learning: Application to a Novel Open-Source Database of Chinese Numbers. IEEE Signal Process. Lett. 25(4): 472-476 (2018) - [j8]Saideh Ferdowsi, Vahid Abolghasemi:
Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Trans. Biomed. Eng. 65(8): 1717-1724 (2018) - 2015
- [j7]Vahid Abolghasemi, Saideh Ferdowsi:
EEG-fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG. Biomed. Signal Process. Control. 18: 186-194 (2015) - [j6]Saideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi:
A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments. Int. J. Neural Syst. 25(1): 1440008:1-1440008:15 (2015) - [j5]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
Fast and incoherent dictionary learning algorithms with application to fMRI. Signal Image Video Process. 9(1): 147-158 (2015) - 2013
- [j4]Saeid Sanei, Saideh Ferdowsi, Kianoush Nazarpour, Andrzej Cichocki:
Advances in Electroencephalography Signal Processing [Life Sciences]. IEEE Signal Process. Mag. 30(1): 170-176 (2013) - [j3]Saideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi, Judith Nottage, Owen G. O'Daly:
Removing Ballistocardiogram Artifact From EEG Using Short- and Long-Term Linear Predictor. IEEE Trans. Biomed. Eng. 60(7): 1900-1911 (2013) - [c8]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
EEG-FMRI integration using a partially constrained tensor factorization. ICASSP 2013: 6191-6195 - 2012
- [j2]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing. Signal Process. 92(4): 999-1009 (2012) - [j1]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
Blind Separation of Image Sources via Adaptive Dictionary Learning. IEEE Trans. Image Process. 21(6): 2921-2930 (2012) - [c7]Saideh Ferdowsi, Saeid Sanei, Judith Nottage, Owen G. O'Daly, Vahid Abolghasemi:
A hybrid ICA-Hermite transform for removal of Ballistocardiogram from EEG. EUSIPCO 2012: 484-488 - [c6]Vahid Abolghasemi, Saideh Ferdowsi, Bahador Makkiabadi, Saeid Sanei:
Adaptive fusion of dictionary learning and multichannel BSS. ICASSP 2012: 2421-2424 - [c5]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering. MLSP 2012: 1-6 - 2011
- [c4]Saideh Ferdowsi, Vahid Abolghasemi, Bahador Makkiabadi, Saeid Sanei:
A new spatially constrained NMF with application to fMRI. EMBC 2011: 5052-5055 - [c3]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
A comparative study of α-Divergence based NMF techniques for FMRI analysis. EUSIPCO 2011: 71-75 - 2010
- [c2]Vahid Abolghasemi, Saideh Ferdowsi, Bahador Makkiabadi, Saeid Sanei:
On optimization of the measurement matrix for compressive sensing. EUSIPCO 2010: 427-431
2000 – 2009
- 2008
- [c1]Saideh Ferdowsi, Alireza Ahmadyfard:
Using statistical moments as invariants for eye detection. EUSIPCO 2008: 1-5
Coauthor Index
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