Jurczuk K., Reska D., Czajkowski M., Kretowski M., Improved GPU memory management in evolutionary decision tree induction for large-scale data, PPAM'24, Ostrava, Czech Republic, Lecture Notes in Computer Science, in print, 2025

Jurczuk K., Czajkowski M., Kretowski M., Adaptive in-memory representation of decision trees for GPU-accelerated evolutionary induction, Future Generation Computer Systems, vol. 153: 419-430, 2024. (Link)

Sokolowski H., Czajkowski M., Czajkowska A., Jurczuk K., Kretowski M., ITree: a user-driven tool for interactive decision-making with classification trees, Bioinformatics, vol. 50(5): btae273, 2024. (Link)

Czajkowska A., Czajkowski M., Szczerbinski L., Jurczuk K., Reska D., Kwedlo W., Kretowski M., Zabielski P., Kretowski A., Exploring protein relative relations in skeletal muscle proteomic analysis for insights into insulin resistance and type 2 diabetes, Scientific Reports, vol. 14: 17631, 2024. (Link)

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.