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Škorić, V., Sileno, G., & Ghebreab, S. (2022). Legality, Legitimacy, and Instrumental Possibility in Human and Computational Governance for the Public Sector. In Proceedings of the International Forum on Digital and Democracy, 2nd edition (IFDaD 2022) (CEUR Workshop Proceedings; Vol. 3289). CEUR-WS.
Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2017). Auto-Calibrated Gaze Estimation Using Human Gaze Patterns. International Journal of Computer Vision, 124(2), 223-236. https://doi.org/10.1007/s11263-017-1014-x[details]
Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2016). The time course of natural scene perception with reduced attention. Journal of Neurophysiology, 115(2), 931-946. https://doi.org/10.1152/jn.00896.2015[details]
Tamboer, P., Vorst, H. C. M., Ghebreab, S., & Scholte, H. S. (2016). Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia. NeuroImage: Clinical, 11, 508-514. https://doi.org/10.1016/j.nicl.2016.03.014[details]
Ramakrishnan, K., Scholte, H. S., Groen, I. I. A., Smeulders, A. W. M., & Ghebreab, S. (2015). Visual dictionaries as intermediate features in the human brain. Frontiers in Computational Neuroscience, 8, [168]. https://doi.org/10.3389/fncom.2014.00168[details]
Ramakrishnan, K., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2015). Neural spatial consistency of hierarchical vision models. In NIPS Workshop on Machine Learning in Neuroimaging
2014
Ramakrishnan, K., Groen, I. I. A., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2014). Visual dictionaries in the Brain: Comparing HMAX and BOW. In 2014 IEEE International Conference on Multimedia and Expo (ICME 2014): Chengdu, China 14-18 July 2014 Piscataway, NJ: IEEE. https://doi.org/10.1109/ICME.2014.6890312[details]
Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-Free Gaze Estimation Using Human Gaze Patterns. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 137-144). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.24[details]
Groen, I. I. A., Ghebreab, S., Prins, H., Lamme, V. A. F., & Scholte, H. S. (2013). From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category. The Journal of Neuroscience, 33(48), 18814-18824. https://doi.org/10.1523/JNEUROSCI.3128-13.2013[details]
Ramakrishnan, K., Groen, I., Scholte, S., Smeulders, A., & Ghebreab, S. (2013). Visual word representation in the brain. In MLINI '13: machine learning and interpretation in neuroimaging: proceedings of MLINI 2013 NIPS. [details]
2012
Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Low-level contrast statistics are diagnostic of invariance of natural textures. Frontiers in Computational Neuroscience, 6, 34. [34]. https://doi.org/10.3389/fncom.2012.00034[details]
Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories. PLoS Computational Biology, 8(10), [e1002726]. https://doi.org/10.1371/journal.pcbi.1002726.g001[details]
Ghebreab, S., & Smeulders, A. W. M. (2011). Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. Pattern Analysis and Applications, 14(2), 175-192. https://doi.org/10.1007/s10044-010-0186-6[details]
Ghebreab, S., Smeulders, A. W. M., Scholte, H. S., & Lamme, V. A. F. (2010). A biologically plausible model for rapid natural scene identification. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), 23rd Annual Conference on Neural Information Processing Systems 2009: December 7-10, 2009, Vancouver, B.C., Canada (Vol. 1, pp. 629-637). (Advances in Neural Information Processing Systems; Vol. 22). Red Hook, NY: Curran. [details]
2009
Scholte, H. S., Ghebreab, S., Waldorp, L., Smeulders, A. W. M., & Lamme, V. A. F. (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9(4), [29]. https://doi.org/10.1167/9.4.29[details]
Scholten , N., Ghebreab, S., & de Waal, T. (2019). Civic Integration as a Key Pillar in Societal Resilience of Newcomers. Amsterdam: Foundation Civic. [details]
Ramakrishnan, K., Scholte, H. S., Smeulders, A., & Ghebreab, S. (2016). Mapping human visual representations by deep neural networks. Journal of Vision, 16(12), [373]. https://doi.org/10.1167/16.12.373[details]
2013
Groen, I., Ghebreab, S., Lamme, V., & Scholte, H. (2013). Two stages in the time-course of natural scene gist perception. Perception, 42(Suppl. 1), 161. [details]
2022
Michailidis, D., Ghebreab, S., & Pascoal Dos Santos, F. P. (Accepted/In press). Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning.
2013
Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2013). Neural Dissimilarity of Scene Naturalness Maps Onto Low-Level Contrast Statistics. Abstract from 19th Annual Meeting of the Organization for Human Brain Mapping, Seattle, United States.
Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2013). Two Stages in Scene Gist Perception. Abstract from 2013 Annual Meeting of the Vision Sciences Society, Naples, United States.
2012
Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Man-Made or Natural? Tracking Neural Processing of Scene Gist Using Single-Trial EEG.
2015
Ramakrishnan, K., Scholte, S., Lamme, V., Smeulders, A., & Ghebreab, S. (2015). Convolutional Neural Networks in the Brain: an fMRI study. Journal of Vision, 15(12), [371]. https://doi.org/10.1167/15.12.371
2014
Groen, I., Ghebreab, S., Lamme, V. A. F., & Scholte, S. (2014). Neural computation of scene gist with and without attention. Journal of Vision, 14(10), 884. https://doi.org/10.1167/14.10.884
Scholte, H. S., & Ghebreab, S. (2014). Improving computational models of early visual cortex using single image ERP data. Journal of Vision, 14(10), 886. https://doi.org/10.1167/14.10.886
2010
Ghebreab, S., Scholte, H. S., Lamme, V., & Smeulders, A. (2010). Rapid Natural Image Identification Based on EEG Data and Global Scene Statistics. Journal of Vision, 10(7), 1394. https://doi.org/10.1167/10.7.1394
Groen, I., Ghebreab, S., Lamme, V., & Scholte, H. S. (2010). The role of Weibull image statistics in rapid object detection in natural scenes. Journal of Vision, 10(7), 992. https://doi.org/10.1167/10.7.992
Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to correlation structure of natural images. Journal of Vision, 10(7), 1363. https://doi.org/10.1167/10.7.1363
Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to local correlation structure of natural images. Frontiers in Neuroscience, Conference abstract(Computational and Systems Neuroscience 2010). https://doi.org/10.3389/conf.fnins.2010.03.00162[details]
Ghebreab, S. (invited speaker) (2012). Natural Image Statistics, Visual Perception and the Brain, Lecture, University of Groningen, The Netherlands.
Ghebreab, S. (invited speaker) (2012). Natural Scene statistics predict neural and perceptual similarity of naturalistic image categories, SURF research day, Utrecht, The Netherlands.
Ghebreab, S. (invited speaker) (2012). Predicting human response to film from visual contents: Studies in the links between computer vision and human response systems, How Movies Move Us Symposium, Tel-Aviv University, Israel.
Ghebreab, S. (invited speaker) (14-10-2011). Computer vision meets human vision: how semantic and emotional content in pictures and movies can be traced back in the brain, 2011 NeuroInformatics.NL symposium, Den Haag.
2017
Ramakrishnan, K. (2017). Aligning computer and human visual representations. [details]
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