Prof. dr. S. (Sennay) Ghebreab
Faculty of Science
Informatics Institute
Visiting address
- Science Park 904
Postal address
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Postbus 94323
1090 GH Amsterdam
Contact details
- Personal Information
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Publications
- refereed (22)
- academic (3)
- professional (1)
- conference contributions (7)
- other output (7)
- recognitions (9)
- supervised theses (1)
2024
Alpherts, T., Ghebreab, S., Hsu, Y.-C., & Van Noord, N. (2024). Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 1341-1354). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3658976 [details]- Dankloff, M., Skoric, V., Sileno, G., Ghebreab, S., Ossenbruggen, J. V., & Beauxis-Aussalet, E. (2024). Analysing and organising human communications for AI fairness assessment: Use cases from the Dutch Public Sector. AI and Society. Advance online publication. https://doi.org/10.1007/s00146-024-01974-4
- Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2024). Tackling school segregation with transportation network interventions: an agent-based modelling approach. Autonomous Agents and Multi-Agent Systems, 38(1). https://doi.org/10.1007/s10458-024-09652-x
- Skoric, V., Sileno, G., & Ghebreab, S. (2024). Roles of Standardised Criteria in Assessing Societal Impact of AI. In Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024 (pp. 1240-1245). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAI59869.2024.00220
- Tasnim, M., Weesie, Y., Ghebreab, S., & Baak, M. (2024). Strategic manipulation of preferences in the rank minimization mechanism: Autonomous Agents and Multi-Agent Systems. Autonomous Agents and Multi-Agent Systems, 38(2). https://doi.org/10.1007/s10458-024-09676-3
- Škorić, V., Ghebreab, S., & Sileno, G. (2024). Critical Criteria for AI Impact Assessment: A Proposal, Applied on Current Standards. Journal of AI Law and Regulation, 1(3), 281 - 296. https://aire.lexxion.eu/article/AIRE/2024/3/5
2022
- Skoric, V., Sileno, G., & Ghebreab, S. (2022). Legality, Legitimacy, and Instrumental Possibility in Human and Computational Governance for the Public Sector. In P. Feletig, A. Loreggia, & S. Quintarelli (Eds.), Proceedings of the Second International Forum on Digital and Democracy: November 17-18, 2022, live and digital event in Rome, Italy Article 10 (CEUR Workshop Proceedings; Vol. 3289). CEUR-WS. https://ceur-ws.org/Vol-3289/paper4.pdf [details]
2018
- Groen, I. I. A., Jahfari, S., Seijdel, N., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2018). Scene complexity modulates degree of feedback activity during object detection in natural scenes. PLoS Computational Biology, 14(12), Article e1006690. Advance online publication. https://doi.org/10.1101/293290, https://doi.org/10.1371/journal.pcbi.1006690 [details]
2017
- 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. Advance online publication. https://doi.org/10.1007/s11263-017-1014-x [details]
2016
- 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. Advance online publication. 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]
2015
- 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, Article 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 https://sites.google.com/site/mliniworkshop2015/schedule
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 IEEE. https://doi.org/10.1109/ICME.2014.6890312 [details]
2013
- 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). 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. Advance online publication. 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. https://01bd0cad-a-62cb3a1a-s-sites.googlegroups.com/site/mlininips2013/proceedings-of-mlini-2012-1/Paper%2015.pdf?attachauth=ANoY7cp4nAvjL0WGF0VhlKiNYjlsYK5Dun8QP5WroTIsnx2beAI3dKBZ6LmozcGUQznaKwYA8z1FppD-OddZf2__8Sy_ysB9R26SiZViH0zKXZAoaAICLlW_mF3pMdmL9meh5vIuQdNn5iUb5C-qreYHpMZbz8IKpx2y3LTw6vkL3GbUCXex3xPGKMHa0alD3S79ps0hJeTMPBP0mplBJ4gAIEfaDAYl0OBH3ojGGVq4SYWXR5wydJhd5EL9Vcy3sop_rzG6UVUB&attredirects=0 [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. Article 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), Article e1002726. https://doi.org/10.1371/journal.pcbi.1002726.g001 [details]
2011
- 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. Advance online publication. https://doi.org/10.1007/s10044-010-0186-6 [details]
2010
- 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). Curran. https://papers.nips.cc/paper/3785-a-biologically-plausible-model-for-rapid-natural-scene-identification [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), Article 29. https://doi.org/10.1167/9.4.29 [details]
2019
- Scholten , N., Ghebreab, S., & de Waal, T. (2019). Civic Integration as a Key Pillar in Societal Resilience of Newcomers. Foundation Civic. https://stichtingcivic.nl/dutch-civic-integration-holistic-review-of-best-practices/ [details]
2016
- Ramakrishnan, K., Scholte, H. S., Smeulders, A., & Ghebreab, S. (2016). Mapping human visual representations by deep neural networks. Journal of Vision, 16(12), Article 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. https://journals.sagepub.com/toc/pec/42/1_suppl [details]
2023
- Michailidis, D., Ghebreab, S., & Pascoal Dos Santos, F. P. (2023). Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning. https://doi.org/10.5555/3545946.3598992
- Škorić, V., Sileno, G., & Ghebreab, S. (2023). Human rights in AI impact assessment: insights from pilot implementations, regulatory frameworks, and a proposal. Paper presented at LAWTOMATION DAYS Second Edition, Madrid, Spain.
- Škorić, V., Sileno, G., & Ghebreab, S. (2023). Leveraging public procurement for LLMs in the public sector: Enhancing access to justice responsibly. Paper presented at JURIX Workshop on AI and Access to Justice
, Maastricht, Netherlands.
2022
- Michailidis, D., Ghebreab, S., & Santos, F. P. (2022). Optimizing Fairness in Transport Network Design using Deep Reinforcement Learning. Paper presented at IJCAI 2022 DSO Workshop, Vienna, Austria. https://drive.google.com/file/d/1XQlhy8NLYD9WtP45s8UYVgidTBVfQ77h/view
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, Washington, United States. http://www.science.uva.nl/research/publications/2013/GroenHBM2013
- 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, Florida, United States. http://www.science.uva.nl/research/publications/2013/GroenVSS2013
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. http://www.science.uva.nl/research/publications/2012/GroenSN2012
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), Article 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]
Prize / grant
- Ghebreab, S. (2010). FES COMMIT, € 285K, project title: ALAN.
- Ghebreab, S. (2010). FES COMMIT, € 285K, project title: E-BioCognition.
Membership / relevant position
- Ghebreab, S. (2012). Member program committee neuroimaging, KNAW.
- Ghebreab, S. (2010). Samenwerking Informatics Institute Prof. dr. A.W.M. Smeulders, Informatics Institute.
Talk / presentation
- Ghebreab, S. (invited speaker) (2013). Simple Visual Regularities Predict Perceptual and Emotional Responses to (Moving) Pictures, Neurotalk Conference, Xi’an, China. http://www.bitlifesciences.com/neurotalk2013/fullprogram.asp
- 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.
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Ancillary activities
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Rijksoverheid / Staatscommissie
Onderzoek en advies aan Rijksoverheid -
NEMO Science Musuem
Lid Raad van Toezicht -
PCOU Willibrord (Scholengemeenschap)
Lid Raad van Toezicht
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Rijksoverheid / Staatscommissie
Alpherts, T., Ghebreab, S., Hsu, Y.-C., & Van Noord, N. (2024). Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 1341-1354). The Association for Computing Machinery.