Czajkowski M., Jurczuk K., Kretowski M., Steering the interpretability of decision trees using lasso regression - an evolutionary perspective, Information Science, vol. 638: 118944, 2023.

Jurczuk K., Czajkowski M., Kretowski M., From Random Forest to an interpretable decision tree - An evolutionary approach, GECCO'23, Lisbon, Portugal. GECCO 2023 Companion, pp. 291-294, 2023. (GECCO2023.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Hierarchical relative expression analysis in multi-omics data classification, ICCS'23, Prague, Czechia. Lecture Notes in Computer Science, vol. 14074: 722-729, 2023. (ICCS2023.pdf)

Jurczuk K., Czajkowski M., Kretowski M. Compact in-memory representation of decision trees in GPU-accelerated evolutionary induction, PPAM'22, Gdansk, Poland. Lecture Notes in Computer Science, vol. 13826: 126-138, 2023 (PPAM2022.pdf)

Jurczuk K., Czajkowski M., Kretowski M., GPU-based acceleration of evolutionary induction of model trees, Applied Soft Computing, vol. 119: 108503, 2022 (ASC2022.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Multi-GPU approach to global induction of classification trees for large-scale data mining, Applied Intelligence, vol. 51: 5683–5700, 2021. (AI2021.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Fitness evaluation reuse for accelerating GPU-based evolutionary induction of decision trees, International Journal of High Performance Computing Applications, vol. 35(1): 20-32, 2021. (IJHPCA2020.pdf)

Reska D., Czajkowski M., Jurczuk K., Boldak C., Kwedlo W., Bauer W., Koszelew J., Kretowski M., Integration of solutions and services for multi-omics data analysis towards personalized medicine, Biocybernetics and Biomedical Engineering, vol. 41: 1646-1663, 2021. (BBE2021.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Accelerated Evolutionary Induction of Heterogeneous Decision Trees for Gene Expression-Based Classification, GECCO'21, Lille, France. GECCO 2021 Proceedings, pp. 946-954, 2021. (GECCO2021a.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Understanding evolutionary induction of decision trees: A multi-tree repository approach, GECCO'21, Lille, France. GECCO 2021 Companion, pp. 155-156, 2021. (GECCO2021b.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Generic Relative Relations in Hierarchical Gene Expression Data Classification, PPSN'20, Leiden, Holand. Lecture Notes in Computer Science, vol. 12270: 372-384, 2020 (PPSN2020.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Tree Based Advanced Relative Expression Analysis, ICCS'20, Amsterdam, Holand. Lecture Notes in Computer Science, vol. 12139: 496-510, 2020 (ICCS2020.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Accelerating GPU-based Evolutionary Induction of Decision Trees - Fitness Evaluation Reuse, PPAM'19, Bialystok, Poland. Lecture Notes in Computer Science, vol. 12043: 421-431, 2020 (PPAM2019b.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Relative Expression Classification Tree. A Preliminary GPU-based Implementation, PPAM'19, Bialystok, Poland. Lecture Notes in Computer Science, vol. 12043: 359-369, 2020 (PPAM2019a.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Multi-GPU approach for big data mining - global induction of decision trees, GECCO'19, Prague, Czech Republic. GECCO 2019 Companion, pp. 175-176, 2019. (GECCO2019B.pdf)

Jurczuk K., Kretowski M., Johanne Bezy-Wendling, GPU-based computational modeling of magnetic resonance imaging of vascular structures, The International Journal of High Performance Computing Applications, vol. 32(4): 496-511, 2018. (IJHPCA2017.pdf)

Jurczuk K., Reska D., Kretowski M., What are the limits of evolutionary induction of decision trees?, PPSN'18, Coimbra, Portugal, Lecture Notes in Computer Science, vol. 11102: 461-473, 2018. (PPSN2018.pdf)

Reska D., Jurczuk K., Kretowski M., Evolutionary induction of classification trees on Spark, ICAISC'18, Zakopane, Poland, Lecture Notes in Artificial Intelligence, vol. 10841: 514-523, 2018. (ICAISC2018.pdf)

Simoncini C., Jurczuk K., Reska D., Esneault S., Nunes JC., Bellanger JJ., Saint-Jalmes H., Rolland Y., Eliat PA., Bezy-Wendling J., Kretowski M., Towards a patient-specific hepatic arterial modeling for microspheres distribution optimization in SIRT protocol, Medical & Biological Engineering & Computing, vol. 56: 515-529, 2018. (MBEC2018.pdf)

Jurczuk K., Czajkowski M., Kretowski M., GPU-accelerated evolutionary induction of regression trees, TPNC'17, Prague, Czech Republic, Lecture Notes in Computer Science, vol. 10687: 87-99, 2017. (TPNC2017.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Evolutionary induction of a decision tree for large scale data. a GPU-based approach, Soft Computing, vol. 21: 7363-79, 2017. (SC2017.pdf)

Simoncini C., Rolland Y., Morgenthaler V., Jurczuk K., Saint-Jalmes H., Eliat P.-A., Kretowski M., Bezy-Wendling J., Blood flow simulation in patient-specific segmented hepatic arterial tree. IRBM - Innovation and Research in BioMedical Engineering vol. 38(3): 120-126, 2017. (IRBM2017.pdf)

Fiedorczuk K., Reska D., Jurczuk K., Kretowski M., The use of laser scanner and coordinate measurement machine in evaluation of geometrical precision in 3D PolyJet printing, Mechanik, vol. 11: 1604-1605, 2016 (MECH2016.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Hybrid Parallelization of Evolutionary Model Tree Induction, ICAISC'16, Zakopane, Poland, Lecture Notes in Artificial Intelligence, vol. 9692: 370-379, 2016. (ICAISC2016.pdf)

Jurczuk K., Czajkowski M., Kretowski M., Using GPU to accelerate evolutionary induction of decision trees, Advances in Data Science : International Workshop and Networking Event, Holny Mejera, Poland, 2016.

Jurczuk K., Murawski D., Kretowski M., Bezy-Wendling J., GPU accelerated simulations of magnetic resonance imaging of vascular structures, PPAM'15, Krakow, Poland, Lecture Notes in Computer Science vol. 9573: 389-398, 2016. (PPAM2016.pdf)

Czajkowski M., Jurczuk K., Kretowski M., A parallel approach for evolutionary induced decision trees. MPI+OpenMP implementation, ICAISC'15, Zakopane, Poland, Lecture Notes in Artificial Intelligence, vol. 9119: 340-349, 2015. (ICAISC2015.pdf)

Czajkowski M., Jurczuk K., Kretowski M., Can evolutionary induction of decision trees be applied for large datasets?, Advances in Data Science : International Workshop and Networking Event, Holny Mejera, Poland, 2015.

Jurczuk K., Kretowski M., Eliat P.-A., Saint-Jalmes H., Bezy-Wendling J., In Silico Modeling of Magnetic Resonance Flow Imaging in Complex Vascular Networks, IEEE Transactions on Medical Imaging, vol. 33 (11): 2191-2209, 2014. (IEEE_TMI_2014.pdf 2387 KB)

Reska D., Jurczuk K., Boldak C., Kretowski M., MESA: Complete approach for design and evaluation of segmentation methods using real and simulated tomographic images, Biocybernetics and Biomedical Engineering, vol. 34: 146-158, 2014. (BBE2014.pdf 2762 KB)

Jurczuk K., Kretowski M., Bellanger J.-J., Eliat P.-A., Saint-Jalmes H., Bezy-Wendling J., Computational modeling of MR flow imaging by the lattice Boltzmann method and Bloch equation, Magnetic Resonance Imaging, vol. 31 (7): 1163-1173, 2013. (MRI2013.pdf 2034 KB)

Jurczuk K., Kretowski M., Eliat P.-A., Bellanger J.-J., Saint-Jalmes H., Bezy-Wendling J., A New Approach in Combined Modeling of MRI and Blood Flow: A Preliminary Study, IEEE ISBI 2012, Barcelona, Spain, pp. 812-815. (ISBI2012.pdf 571 KB)

Jurczuk K., Kretowski M., Bezy-Wendling J., Hierarchical Parallel Approach in Vascular Network Modeling - Hybrid MPI+OpenMP Implementation, PPAM 2012, Torun, Poland, Lecture Notes in Computer Science, vol. 7203: 376-385, 2012. (PPAM2011.pdf 425 KB)

Jurczuk K., Kretowski M., Bezy-Wendling J., Vascular system modeling in parallel environment - distributed and shared memory approaches, IEEE Transaction on Information Technology in Biomedicine, vol. 15 (4): 668-672, 2011. (IEEE_TITB_2011.pdf 512 KB)

Jurczuk K., Kretowski M., Bezy-Wendling J. Vascular network modeling - improved parallel implementation on computing cluster, PPAM 2009, Wroclaw, Poland, Lecture Notes in Computer Science, vol. 6067: 289-298, 2010. (PPAM2009.pdf 414 KB)

Jurczuk K., Kretowski M., Bezy-Wendling J. Load balancing in parallel implementation of vascular network modeling, Zeszyty Naukowe Politechniki Bialostockiej. Informatyka, vol. 6: 41-61, 2010. (ZNPB2010.pdf 749 KB)

Jurczuk K., Kretowski M., Virtual magnetic resonance imaging - parallel implementation in a cluster computing environment, Biocybernetics and Biomedical Engineering, vol. 29 (3): 31-46, 2009. (BBE2009.pdf 6.49 MB)

Jurczuk K., Kretowski M., Parallel implementation of vascular network modeling, ICCS 2008, Krakow, Poland, Lecture Notes in Computer Science, vol. 5101: 679-688, 2008. (ICCS2008.pdf 932 KB)

Jurczuk K., Kretowski M., Wirtualny skaner tomografii rezonansu magnetycznego - implementacja w srodowisku rozproszonym, Proc. of XV National Conference Biocybernetics and Biomedical Engineering, Wroclaw, Poland, 2007.

Mescam M., Jurczuk K., Bezy-Wendling J., Kretowski M., Eliat P.-A., Bellanger J.-J., Couplage d'un modele vasculaire bi-niveau et d'un modele d'acquisition d'images: application a la simulation d'IRM dynamique du Carcinome Hepatocellulaire, Proc. of XXI GRETSI Conference, Troyes, France, 2007.

Mescam M., Bezy-Wendling J., Kretowski M., Jurczuk K., Eliat P.-A., Olivie D., Coupling texture analysis and physiological modeling for liver dynamic MRI interpretation, Proc. of the XXIX International Conference of the IEEE EMBS, Lyon, France, pp. 4223-4226, 2007.

Bezy-Wendling J., Kretowski M., Mescam M., Jurczuk K., Eliat P.-A., Simulation of Hepatocellular Carcinoma in MRI by Combined Macrovascular and Pharmacokinetic Models, IEEE ISBI 2007, Washington, USA, pp. 1272-1275, 2007.

Jurczuk K., Platforma e-learning'u - efektywny i elastyczny oraz wygodny i ekonomiczny sposob nauczania, National Conference "Rola i miejsce studenckich kol naukowych w rozwoju wspolczesnej nauki", Suprasl, Poland, chapter in the monograph "Rola i miejsce studenckich kol naukowych w rozwoju wspolczesnej nauki", pp. 252-257, 2006.