Understanding understanding: a renormalization group inspired model of (artificial) intelligence. - Antal Jakovác; D. Berenyi; Péter Pósfay (CoRR, 2020)

Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Prices. - Marcell T. Kurbucz; Péter Pósfay; Antal Jakovác (CoRR, 2022)

Reconstruction of observed mechanical motions with Artificial Intelligence tools. - Antal Jakovác; Marcell T. Kurbucz; Péter Pósfay (CoRR, 2022)

Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation. - Marcell T. Kurbucz; Péter Pósfay; Antal Jakovác (CoRR, 2023)

Learning ECG signal features without backpropagation. - Péter Pósfay; Marcell T. Kurbucz; Péter Kovács 001; Antal Jakovác (CoRR, 2023)

LLT: An R package for linear law-based feature space transformation. - Marcell T. Kurbucz; Péter Pósfay; Antal Jakovác (SoftwareX, 2024)

Lightweight ECG signal classification via linear law-based feature extraction. - Péter Pósfay; Marcell T. Kurbucz; Péter Kovács 001; Antal Jakovác (Mach. Learn. Sci. Technol., 2025)