Publications

Scientific papers

Kang, M., Sabinasz, D., & Schöner, G.. (2024). A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory Control. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.
Kati, L., Sabinasz, D., Schöner, G., & Kaup, B. (2024). Interaction of polarity and truth value – A neural dynamic architecture of negation processing. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.
Sabinasz, D., Richter, M., & Schöner, G.. (2023). Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases. Cognitive Neurodynamics. http://doi.org/10.1007/s11571-023-10007-7
Sabinasz, D. & Schöner, G. (2022). A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. Topics in Cognitive Science. http://doi.org/10.1111/tops.12630
Hesse, M., & Sabinasz, D. & Schöner, G. (2022). A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs. In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society.
Sabinasz, D., Richter, M., Lins, J., & Schöner, G. (2022). A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
Sabinasz, D., Richter, M., Lins, J., & Schöner, G. (2020). Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture. In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626). Cognitive Science Society.
Uysal, M. S., Sabinasz, D., & Seidl, T. (2016). Approximation-based efficient query processing with the earth mover’s distance. In International Conference on Database Systems for Advanced Applications (pp. 165–180). Springer.
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Effective Content-Based Near-Duplicate Video Detection. In 2015 IEEE International Symposium on Multimedia (ISM) (pp. 254–257). IEEE.
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Large-scale efficient and effective video similarity search. In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval (pp. 3–8).
Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). FELICITY: A flexible video similarity search framework using the earth mover’s distance. In International Conference on Similarity Search and Applications (pp. 347–350). Springer.

Posters

Sabinasz, D., Richter, M., Lins, J., & Schöner, G. (2019). How Productivity and Compositionality May Emerge from a Neural Dynamics of Perceptual Grounding. 41st Annual Conference of the Cognitive Science Society.

Theses

Sabinasz, D. (2019). A neural dynamic model for the perceptual grounding of combinatorial concepts. Master’s thesis, Ruhr University Bochum, Germany.
Sabinasz, D. (2015). Content-based Video Similarity Search using Feature Signatures. Bachelor’s thesis, RWTH Aachen University, Germany.

Blog articles

Sabinasz, D. (2019). Introduction to Evolutionary Psychology. Blog article, https://www.sabinasz.net
Sabinasz, D. (2018). Building a Content-Based Multimedia Search Engine. Blog article, https://www.sabinasz.net
Sabinasz, D. (2017). Robot Localization. Blog article, https://www.sabinasz.net.
Sabinasz, D. (2017). Why the Chinese Room Argument is Flawed. Blog article, https://www.sabinasz.net
Sabinasz, D. (2017). Gödel’s Incompleteness Theorem and its Implications for Artificial Intelligence. Blog article, https://www.sabinasz.net
Sabinasz, D. (2017). Deep Learning From Scratch: Theory and Implementation. Blog article, https://www.sabinasz.net.