ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 212
phone +48 71 320 3345

Recent papers

2017

• Skubalska-Rafajłowicz E., Spatially-organized random projections of images for dimensionality reduction and privacy-preserving classification. 10th International Workshop on Multidimensional (nD) Systems (nDS), 13-15 Sept. 2017, Zielona Góra, Poland. Ma: IEEE

2016

• Skubalska-Rafajłowicz E.,Training neural networks by optimizing random subspaces of the weight space. Źródło Artificial intelligence and soft computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016 Springer, Lecture Notes in Computer Science.

2015

• Skubalska-Rafajłowicz E., Change-point detection of the mean vector with fewer observations than the dimension using instantaneous normal random projections. W: Springer Proceedings in Mathematics & Statistics; vol. 122

2014

• Skubalska-Rafajłowicz E., Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching. Multidimensional Systems and Signal Processing. 2014, vol. 25, nr 2, s. 273-294.

2013

• Skubalska-Rafajłowicz E., Random projections and Hotelling's T2 statistics for change detection in high-dimensional data streams. International Journal of Applied Mathematics and Computer Science. 2013, vol. 23, nr 2, s. 447-461.

2012

• Skubalska-Rafajłowicz E., Rafajłowicz E., Sampling multidimensional signals by a new class of quasi-random sequences, Multidimensional Systems and Signal Processing. 2012, vol. 23, nr 1/2, s. 237-253.

2009

• Skubalska-Rafajłowicz E., Neural networks with sigmoidal activation functions-dimension reduction using normal random projection. Nonlinear Analysis, Theory, Methods & Applications. Series A, Theory and Methods. 2009, vol. 71, nr 12, s. e1255-e1263.

2008

• Skubalska-Rafajłowicz E., Local correlation and entropy maps as tools for detecting defects in industrial images, International Journal of Applied Mathematics and Computer Science. 2008, vol. 18, nr 1, s. 41-47.

Papers in DONA database

Selected publications
1	Artykuł 2026 Przemysław Lewicki, Henryk Maciejewski Michał Piórek Ewa Skubalska-Rafajłowicz Predicting concentrations of PM2.5, PM10, CO, VOC, and NOx on the urban scale using machine learning-based surrogate models. Applied Sciences. 2026, vol. 16, nr 1, art. 334, s. 1-19. ISSN: 2076-3417 Zasoby:DOIURLSFX
2	Artykuł 2026 Michał J Zmonarski Ewa Skubalska-Rafajłowicz Aleksandra Zgryźniak, Sławomir Zmonarski, Deep learning approach for retinopathy identification in combined clinical datasets. International Journal of Electronics and Telecommunications. 2026, vol. 72, nr 1, s. 1-7. ISSN: 2081-8491; 2300-1933 Zasoby:URLSFX
3	Referat konferencyjny 2025 Ewa Skubalska-Rafajłowicz Adam Krzyżak, Michał Piórek The use of neural networks and PCA dimensionality reduction in the imputation of missing fragments in high-dimensional time series. W: Stochastic Models, Statistics and Their Applications : SMSA 2024, Delft, The Netherlands, March 13-15 / eds. Ansgar Steland, Ewaryst Rafajłowicz, Nestor Parolya. Cham : Springer Nature Switzerland AG, cop. 2025. s. 139-150. ISBN: 978-3-031-96014-7; 978-3-031-96015-4 Zasoby:DOIURLSFX
4	Referat konferencyjny 2025 Ewaryst Rafajłowicz Wojciech Rafajłowicz Ewa Skubalska-Rafajłowicz Magda Chodyniecka Jędrzej S Więckowski Sławomir Cezary Zmonarski, Inference from longitudinal data by clustering and machine learning. W: Stochastic Models, Statistics and Their Applications : SMSA 2024, Delft, The Netherlands, March 13-15 / eds. Ansgar Steland, Ewaryst Rafajłowicz, Nestor Parolya. Cham : Springer Nature Switzerland AG, cop. 2025. s. 127-137. ISBN: 978-3-031-96014-7; 978-3-031-96015-4 Zasoby:DOIURLSFX
5	Referat konferencyjny 2025 Marek Bazan Przemysław Lewicki, Michał Piórek Ewa Skubalska-Rafajłowicz Kamil A Szyc Henryk Maciejewski Machine learning-based surrogate models for noise level prediction on urban scale maps. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 11-20. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 Zasoby:DOIURLSFX
6	Referat konferencyjny 2025 Mateusz A Kucharski Ewa Skubalska-Rafajłowicz Speech recognition using spectrogram images and formant data with neural networks. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 129-137. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 Zasoby:DOIURLSFX
7	Referat konferencyjny 2025 Michał J Zmonarski Ewa Skubalska-Rafajłowicz Aleksandra Zgryźniak, Sławomir Zmonarski, Creating an automatic classifier for detecting diabetic retinopathy based on the combining a new 7-class dataset fundus images and a collection of images from another source. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 246-255. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 Zasoby:DOIURLSFX
8	Referat konferencyjny 2025 Ewa Skubalska-Rafajłowicz Adam Krzyżak, Michał Piórek Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. W: Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16-20, 2024 : proceedings. Pt. 2 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2025. s. 189-200. ISBN: 978-3-031-84355-6; 978-3-031-84356-3 Zasoby:DOIURLSFX
9	Referat konferencyjny 2025 Wojciech Rafajłowicz Ewaryst Rafajłowicz Ewa Skubalska-Rafajłowicz Magda Chodyniecka Sławomir Cezary Zmonarski, More individualized survival function estimation using training data clustering. W: Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16-20, 2024 : proceedings. Pt. 2 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2025. s. 153-164. ISBN: 978-3-031-84355-6; 978-3-031-84356-3 Zasoby:DOIURLSFX
10	Referat konferencyjny 2023 Ewa Skubalska-Rafajłowicz A simple algorithm for computing a multi-dimensional the Sierpiński space-filling curve generalization. W: Communication Papers of the the 18th Conference on Computer Science and Intelligence Systems, September 17-20, 2023, Warsaw, Poland / eds. Maria Ganzha [i in.]. Warszawa : Polskie Towarzystwo Informatyczne, 2023. s. 259-264. ISBN: 978-83-969601-3-9; 978-83-969601-4-6 Zasoby:DOIURLSFX
11	Artykuł 2021 Johannes Bracher, Daniel Wolffram, Jannik Deuschel, Konstantin Görgen, Jakob L Ketterer, Alexander Ullrich, Sam Abbott, Maria Vittoria Barbarossa, Dimitris Bertsimas, Sangeeta Bhatia, Marcin Bodych Nikos I Bosse, Jan Pablo Burgard, Lauren Castro, Geoffrey Fairchild, Jan Fuhrmann, Sebastian Funk, Krzysztof Gogolewski, Quanquan Gu, Stefan Heyder, Thomas Hotz, Y Kheifetz, Holger Kirsten, Tyll Krüger Ekaterina Krymova, Michael Lingzhi Li, Jan H Meinke, Isaac Michaud, Karol Niedzielewski, Tomasz Ożański, Franciszek Rakowski, Markus Scholz, Saksham Soni, Ajitesh Srivastava, Jakub Zieliński, Difan Zou, Tilmann Gneiting, Melanie Schienle, Hamza Tazi Bouardi, Omar Skali Lami, Łukasz Górski, Magdalena Gruziel-Słomka, Artur Kaczorek, Antoni Moszyński, Jędrzej Nowosielski, Maciej Radwan, Marcin Semeniuk, Rafał Bartczuk, Jan Kisielewski, Przemysław Biecek, Viktor Bezborodov Dave A Osthus, Anna Gambin, Błażej Miasojedow, Ewa Szczurek, Daniel Rabczenko, Magdalena Rosińska, Marek Bawiec Barbara Pabjan Ewaryst Rafajłowicz Ewa Skubalska-Rafajłowicz Wojciech Rafajłowicz Agata Migalska Antoine Flahault, Elisa Manetti, Christine Choirat, Benjamin Bejar Haro, Gavin Lee, Guillaume Obozinski, Tao Sun, Dorina Thanou, Pan Xu, Jinghui Chen, Lingxiao Wang, Weitong Zhang, Viktor K Prasanna, Frost Tianjian Xu, A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave. Nature Communications. 2021, vol. 12, art. 5173, s. 1-16. ISSN: 2041-1723 Zasoby:DOIURLSFX

All employee publications