By Dr Murat Tahtali

Preprints

Hassanin M; Radwan I; Moustafa N; Tahtali M; Kumar N, 2020, Mitigating the Impact of Adversarial Attacks in Very Deep Networks, http://dx.doi.org/10.48550/arxiv.2012.04750

Francis M; Tahtali M; Pickering MR, 2020, Elimination of Central Artefacts of L-SPECT with Modular Partial Ring Detectors by Shifting Center of Scanning, http://dx.doi.org/10.48550/arxiv.2008.07893

Hassanin M; Khan S; Tahtali M, 2018, Visual Affordance and Function Understanding: A Survey, http://dx.doi.org/10.48550/arxiv.1807.06775

Saha S; Rana R; Nesterets YI; Tahtali M; de Hoog F; Gureyev TE, 2015, Evaluating the Performance of BSBL Methodology for EEG Source Localization On a Realistic Head Model, http://dx.doi.org/10.48550/arxiv.1504.06949

Saha S; de Hoog F; Nesterets YI; Rana R; Tahtali M; Gureyev TE, 2015, Sparse Bayesian Learning for EEG Source Localization, http://dx.doi.org/10.48550/arxiv.1501.04621

Saha S; Nesterets YI; Tahtali M; Gureyev TE, 2014, Evaluation of Spatial Resolution and Noise Sensitivity of sLORETA Method for EEG Source Localization Using Low-Density Headsets, http://dx.doi.org/10.48550/arxiv.1407.7953

Saha S; Nesterets YI; Rana R; Tahtali M; de Hoog F; Gureyev TE, 2014, EEG source localization using a sparsity prior based on Brodmann areas, http://dx.doi.org/10.48550/arxiv.1406.2434

Hassanin M; radwan I; Tahtali M; Goecke R, Resanet: Residual Aggregation Networks for Dense Prediction, http://dx.doi.org/10.2139/ssrn.4212324

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