Select Publications
Preprints
2024, Feasibility Study of Multi Laue Lens Based SPECT with a Dedicated 3D Reconstruction Algorithm: A First Monte Carlo Study, http://dx.doi.org/10.21203/rs.3.rs-4414173/v1
,2021, Learning Discriminative Representations for Multi-Label Image Recognition, http://dx.doi.org/10.48550/arxiv.2107.11159
,2020, A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models, http://dx.doi.org/10.48550/arxiv.2012.04734
,2020, Mitigating the Impact of Adversarial Attacks in Very Deep Networks, http://dx.doi.org/10.48550/arxiv.2012.04750
,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
,2018, Visual Affordance and Function Understanding: A Survey, http://dx.doi.org/10.48550/arxiv.1807.06775
,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
,2015, Sparse Bayesian Learning for EEG Source Localization, http://dx.doi.org/10.48550/arxiv.1501.04621
,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
,2014, EEG source localization using a sparsity prior based on Brodmann areas, http://dx.doi.org/10.48550/arxiv.1406.2434
,Resanet: Residual Aggregation Networks for Dense Prediction, http://dx.doi.org/10.2139/ssrn.4212324
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