| An efficient classifier to diagnose of schizophrenia based on the EEG signals R Boostani, K Sadatnezhad, M Sabeti Expert Systems with Applications 36 (3), 6492-6499, 2009 | 139 | 2009 |
| Classification of BMD and ADHD patients using their EEG signals K Sadatnezhad, R Boostani, A Ghanizadeh Expert Systems with Applications 38 (3), 1956-1963, 2011 | 99 | 2011 |
| Classification of ADHD and BMD patients using visual evoked potential AD Nazhvani, R Boostani, S Afrasiabi, K Sadatnezhad Clinical neurology and neurosurgery 115 (11), 2329-2335, 2013 | 59 | 2013 |
| Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI A Davoudi, SS Ghidary, K Sadatnejad Journal of neural Engineering, 2017 | 53* | 2017 |
| Long-term BCI training of a tetraplegic user: adaptive riemannian classifiers and user training C Benaroch, K Sadatnejad, A Roc, A Appriou, T Monseigne, S Pramij, ... Frontiers in human neuroscience 15, 635653, 2021 | 50 | 2021 |
| Kernel learning over the manifold of symmetric positive definite matrices for dimensionality reduction in a BCI application K Sadatnejad, SS Ghidary Neurocomputing 179, 152-160, 2016 | 30 | 2016 |
| An efficient piecewise linear model for predicting activity of caspase-3 inhibitors L Firoozpour, K Sadatnezhad, S Dehghani, E Pourbasheer, A Foroumadi, ... DARU Journal of Pharmaceutical Sciences 20, 1-6, 2012 | 20 | 2012 |
| Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering MS Yamamoto, K Sadatnejad, T Tanaka, R Islam, Y Tanaka, F Lotte 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 10 | 2020 |
| Proposing an adaptive mutation to improve XCSF performance to classify ADHD and BMD patients K Sadatnezhad, R Boostani, A Ghanizadeh Journal of neural engineering 7 (6), 066006, 2010 | 10 | 2010 |
| Riemannian channel selection for BCI with between-session non-stationarity reduction capabilities K Sadatnejad, F Lotte IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2022 | 7 | 2022 |
| Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications K Sadatnejad, A Roc, L Pillette, T Monseigne, F Lotte ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| EEG representation using multi-instance framework on the manifold of symmetric positive definite matrices K Sadatnejad, M Rahmati, R Rostami, R Kazemi, SS Ghidary, A Müller, ... Journal of Neural Engineering 16 (3), 036016, 2019 | 7 | 2019 |
| Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification MS Yamamoto, K Sadatnejad, T Tanaka, MR Islam, F Dehais, Y Tanaka, ... IEEE Transactions on Biomedical Engineering 71 (2), 377-387, 2023 | 5 | 2023 |
| Inria research & development for the Cybathlon BCI series F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ... 8th Graz Brain-Computer Interface Conference 2019, 2019 | 4 | 2019 |
| EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis K Sadatnejad, SS Ghidary, R Rostami, R Kazemi arXiv preprint arXiv:1702.02655, 2017 | 1 | 2017 |
| Reliable outlier detection by Spectral clustering on Riemannian manifold of covariance matrix MS Yamamoto, K Sadatnejad, MR Islam, T Tanaka, F Lotte BCI meeting 2021, 2021 | | 2021 |
| Assessing a new form of BCI user learning K Sadatnejad, F Lotte BCI meeting 2021, 2021 | | 2021 |
| Adaptive spectrum transformation by topology preservation on indefinite proximity data K Sadatnejad, S Shiry Ghidary Pattern Recognition Letters, 2017 | | 2017 |
| HAL Id: hal-03518488 K Sadatnejad, F Lotte | | |
| HAL Id: hal-03518488 https://inria. hal. science/hal-03518488 K Sadatnejad, F Lotte | | |
Fabien LotteInria Centre at the University of Bordeaux / LaBRIBestätigte E-Mail-Adresse bei inria.fr
