E-mail: ewa.skubalska-rafajlowicz@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

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

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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

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Selected publications
1	Referat konferencyjny 2025 Ewaryst Rafajłowicz, Wojciech Rafajłowicz, Ewa Skubalska-Rafajłowicz, Magda Skoczeń, 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
2	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
3	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
4	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
5	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
6	Referat konferencyjny 2025 Wojciech Rafajłowicz, Ewaryst Rafajłowicz, Ewa Skubalska-Rafajłowicz, Magda Skoczeń, 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
7	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
8	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
9	Referat konferencyjny 2021 Ewa Skubalska-Rafajłowicz, Ewaryst Rafajłowicz, Classifying functional data from orthogonal projections – model, properties and fast implementation. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 3 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 26-39. ISBN: 978-3-030-77966-5; 978-3-030-77967-2 Zasoby:DOISFX
10	Referat konferencyjny 2021 Ewa Skubalska-Rafajłowicz, Wojciech Rafajłowicz, An exact algorithm for finite metric space embedding into a euclidean space when the dimension of the space is not known. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 1 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 514-524. ISBN: 978-3-030-77960-3; 978-3-030-77961-0 Zasoby:DOISFX

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