| Towards application of machine learning algorithms for prediction temperature distribution within CFB boiler based on specified operating conditions J Grochowalski, P Jachymek, M Andrzejczyk, M Klajny, A Widuch, ... Energy 237, 121538, 2021 | 27 | 2021 |
| Strong approximation of solutions of stochastic differential equations with time-irregular coefficients via randomized Euler algorithm P Przybyłowicz, P Morkisz Applied Numerical Mathematics 78, 80-94, 2014 | 25 | 2014 |
| Relative molecule self-attention transformer Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ... Journal of Cheminformatics 16 (1), 3, 2024 | 23 | 2024 |
| Benchmarking deep learning for time series: Challenges and directions X Huang, GC Fox, S Serebryakov, A Mohan, P Morkisz, D Dutta 2019 IEEE International Conference on Big Data (Big Data), 5679-5682, 2019 | 19 | 2019 |
| Randomized Runge–Kutta method—Stability and convergence under inexact information T Bochacik, M Goćwin, PM Morkisz, P Przybyłowicz Journal of Complexity 65, 101554, 2021 | 17 | 2021 |
| Optimal pointwise approximation of SDE’s from inexact information PM Morkisz, P Przybyłowicz Journal of Computational and Applied Mathematics 324, 85-100, 2017 | 16 | 2017 |
| On mathematical aspects of evolution of dislocation density in metallic materials N Czyżewska, J Kusiak, P Morkisz, P Oprocha, M Pietrzyk, P Przybyłowicz, ... IEEE Access 10, 86793-86812, 2022 | 13 | 2022 |
| Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information PM Morkisz, P Przybyłowicz Journal of Computational and Applied Mathematics 383, 113112, 2021 | 12 | 2021 |
| Inverse problem in stochastic approach to modelling of microstructural parameters in metallic materials during processing K Klimczak, P Oprocha, J Kusiak, D Szeliga, P Morkisz, P Przybyłowicz, ... Mathematical Problems in Engineering 2022 (1), 9690742, 2022 | 11 | 2022 |
| Metamodeling and optimization of a blister copper two-stage production process P Jarosz, J Kusiak, S Małecki, P Morkisz, P Oprocha, W Pietrucha, ... JOM 68, 1535-1540, 2016 | 11 | 2016 |
| Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips D Szeliga, N Czyżewska, K Klimczak, J Kusiak, R Kuziak, P Morkisz, ... Archives of Civil and Mechanical Engineering 22 (3), 139, 2022 | 10 | 2022 |
| Approximation of piecewise Hölder functions from inexact information PM Morkisz, L Plaskota Journal of Complexity 32 (1), 122-136, 2016 | 10 | 2016 |
| Prediction of distribution of microstructural parameters inmetallic materials described by differential equations with recrystallization term P Morkisz, P Oprocha, P Przybyłowicz, N Czyzewska, J Kusiak, D Szeliga, ... International Journal for Multiscale Computational Engineering 17 (3), 2019 | 9 | 2019 |
| An attempt of optimization of zinc production line P Jarosz, J Kusiak, S Małecki, P Morkisz, P Oprocha, W Pietrucha, ... Archives of Civil and Mechanical Engineering 18, 1116-1122, 2018 | 8 | 2018 |
| Failures prediction based on performance monitoring of a gas turbine: a binary classification approach B Mulewicz, M Marzec, P Morkisz, P Oprocha Schedae Informaticae 26, 2017 | 8 | 2017 |
| Optimal approximation of stochastic integrals in analytic noise model A Kałuża, PM Morkisz, P Przybyłowicz Applied Mathematics and Computation 356, 74-91, 2019 | 7 | 2019 |
| Formulation, identification and validation of a stochastic internal variables model describing the evolution of metallic materials microstructure during hot forming D Szeliga, N Czyżewska, K Klimczak, J Kusiak, R Kuziak, P Morkisz, ... International Journal of Material Forming 15 (4), 53, 2022 | 6 | 2022 |
| Complexity of approximating Hölder classes from information with varying Gaussian noise PM Morkisz, L Plaskota Journal of Complexity 60, 101497, 2020 | 5 | 2020 |
| Intelligent predictive maintenance system M Marzec, P Morkisz, J Wojdyła, T Uhl Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018 | 5 | 2018 |
| On aggregation of stages in multi-criteria optimization of chain structured processes J Kusiak, P Morkisz, P Oprocha, W Pietrucha, Ł Sztangret Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 5 | 2016 |
Paweł Przybyłowiczassociate professor, AGH University of Science and Technology, Faculty of Applied MathematicsPotvrđena adresa e-pošte na agh.edu.pl
