On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes. - Jan Kusiak; Pawel M. Morkisz; Piotr Oprocha; Wojciech Pietrucha; Lukasz Sztangret (ICAISC (1), 2016)

Intelligent Predictive Maintenance System. - Mateusz Marzec; Pawel M. Morkisz; Jakub Wojdyla; Tadeusz Uhl (IntelliSys (1), 2016)

Approximation of piecewise Hölder functions from inexact information. - Pawel M. Morkisz; Leszek Plaskota (J. Complex., 2016)

Optimal pointwise approximation of SDE's from inexact information. - Pawel M. Morkisz; Pawel Przybylowicz (J. Comput. Appl. Math., 2017)

Benchmarking Deep Learning for Time Series: Challenges and Directions. - Xinyuan Huang; Geoffrey C. Fox; Sergey Serebryakov; Ankur Mohan; Pawel M. Morkisz; Debojyoti Dutta (IEEE BigData, 2019)

Optimal approximation of stochastic integrals in analytic noise model. - Andrzej Kaluza; Pawel M. Morkisz; Pawel Przybylowicz (Appl. Math. Comput., 2019)

Complexity of approximating Hölder classes from information with varying Gaussian noise. - Pawel M. Morkisz; Leszek Plaskota (J. Complex., 2020)

Randomized Runge-Kutta method - Stability and convergence under inexact information. - Tomasz Bochacik; Maciej Gocwin; Pawel M. Morkisz; Pawel Przybylowicz (J. Complex., 2021)

Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. - Pawel M. Morkisz; Pawel Przybylowicz (J. Comput. Appl. Math., 2021)

On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials. - Natalia Czyzewska; Jan Kusiak; Pawel M. Morkisz; Piotr Oprocha; Maciej Pietrzyk; Pawel Przybylowicz; Lukasz Rauch; Danuta Szeliga (IEEE Access, 2022)

Euler scheme for approximation of solution of nonlinear ODEs under inexact information. - Natalia Czyzewska; Pawel M. Morkisz; Pawel Przybylowicz (CoRR, 2022)

A Framework for Large Scale Synthetic Graph Dataset Generation. - Sajad Darabi; Piotr Bigaj; Dawid Majchrowski; Pawel M. Morkisz; Alex Fit-Florea (CoRR, 2022)

Heterogenous Ensemble of Models for Molecular Property Prediction. - Sajad Darabi; Shayan Fazeli; Jiwei Liu; Alexandre Milesi; Pawel M. Morkisz; Jean-François Puget; Gilberto Titericz (CoRR, 2022)

Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. - Natalia Czyzewska; Pawel M. Morkisz; Pawel Przybylowicz (Numer. Algorithms, 2022)

On the randomized Euler algorithm under inexact information. - Marcin Baranek; Andrzej Kaluza; Pawel M. Morkisz; Pawel Przybylowicz; Michal Sobieraj (CoRR, 2023)

TSPP: A Unified Benchmarking Tool for Time-series Forecasting. - Jan Baczek; Dmytro Zhylko; Gilberto Titericz; Sajad Darabi; Jean-Francois Puget; Izzy Putterman; Dawid Majchrowski; Anmol Gupta; Kyle Kranen; Pawel M. Morkisz (CoRR, 2023)

Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. - Andrzej Kaluza; Pawel M. Morkisz; Bartlomiej Mulewicz; Pawel Przybylowicz; Martyna Wiacek (Appl. Math. Comput., 2024)

Efficient GPU implementation of randomized SVD and its applications. - Lukasz Struski; Pawel M. Morkisz; Przemyslaw Spurek; Samuel Rodriguez Bernabeu; Tomasz Trzcinski (Expert Syst. Appl., 2024)

Relative molecule self-attention transformer. - Lukasz Maziarka; Dawid Majchrowski; Tomasz Danel; Piotr Gainski; Jacek Tabor; Igor T. Podolak; Pawel M. Morkisz; Stanislaw Jastrzebski (J. Cheminformatics, 2024)