^{First-author publications are in bold. Works under review are marked under review.}

^{under review}
Addressing Sample Bias of Language Data in Vocabulary Creation and Evaluation. Hronský, R., & Keuleers, E. A.

^{under review}
(Extended Abstract) [AMLaP 2026] (title to be added upon acceptance) Hronský, R., & Keuleers, E. A. AMLaP 2026.

Tokenization via Language Modeling: the Role of Preceding Text. Hronsky, R., & Keuleers, E. A. (2024). CAWL Workshop at LREC. paper | package

Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act Modeling. Hronsky, R., & Keuleers, E. A. (2023). Findings of EMNLP. paper | code

(Poster) A binary-tree approach to generating imaginary Chinese characters. Wang, Y., Hronsky, R., Keuleers E. A. (2023). Words in the World International Conference.

Does the Choice of a Segmentation Algorithm Affect the Performance of Text Classifiers?. Hronsky, R., & Keuleers, E. A. (2022). BNAIC/BeNeLearn. paper

Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data. Hronsky, R., & Keuleers, E. A. (2021). Proceedings of the Annual Meeting of the Cognitive Science Society. paper | code | presentation

(Poster) Towards a Visual Analytics Pipeline for the Analysis of Recurring Patterns in Time Series Data. Spechtenhauser F., Hronsky R., Möller T., Piringer H. (2018). IEEE VIS. presentation

PhD Thesis — Will be added once graduated. Working summary. Hronský, R. (2025). TU Eindhoven (JADS).

Master’s Thesis on demography mining in lexical decision times.

Bachelor’s Thesis on time series analysis with dynamic time warping.