Selected research papers

Tomasz Steifer. A note on the learning-theoretic characterizations of randomness and convergence. accepted for publication in The Review of Symbolic Logic, 2021.

Łukasz Dębowski, Tomasz Steifer. Universal Coding and Prediction on Martin-Löf Random Points. arXiv preprint arXiv:2005.03627, 2020.

Tomasz Steifer. Fixed wagers and stochasticity. under review, 2020.

Tomasz Steifer. Computable prediction of infinite binary sequences with zero-one loss. Institute of Computer Science, Polish Academy of Sciences, 2020.

Dariusz Kalociński, Tomasz Steifer. An Almost Perfectly Predictable Process with No Optimal Predictor. 2019 IEEE International Symposium on Information Theory (ISIT), 2504-2508, 2019.

Dariusz Kalociński, Tomasz Steifer. On unstable and unoptimal prediction. Mathematical Logic Quarterly 65 (2), 218-227, 2019.

Tomasz Steifer, Marcin Lewandowski. Ultrasound tissue characterization based on the Lempel–Ziv complexity with application to breast lesion classification. Biomedical Signal Processing and Control 51, 235-242, 2019.

Jakub Rozbicki, Beata Witek, Tomasz Steifer, Marcin Lewandowski. Doppler-based blood pressure measurement system for patients supported by a continuous-flow rotary left ventricular assist device. 2017 IEEE International Ultrasonics Symposium (IUS), 2017.