ul. Z. Janiszewskiego 11/17, Wrocław
bud. C-3, pok. 212                                             
tel. 71 320 3345

Zainteresowania naukowe

• Sieci neuronowe; klasyfikacja obrazów; przetwarzanie obrazów; wykrywanie nowości w danych; zastosowanie krzywych wypełniających i losowych projekcji w redukcji wymiaru; wysoko-wymiarowe problemy decyzyjne.

Najważniejsze publikacje z ostatnich lat

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.

Publikacje w bazie DONA

Wybrane publikacje
1	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
2	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
3	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
4	Referat konferencyjny 2020 Michał Banach, Ewa Skubalska-Rafajłowicz, A synergy of freezing and dropout - new learning strategy of convolutional networks. W: Artificial intelligence and soft computing : 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020 : proceedings. Pt. 1 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2020. s. 3-14. ISBN: 978-3-030-61400-3; 978-3-030-61401-0 Zasoby:DOIURLSFX
5	Referat konferencyjny 2020 Aneta Górniak, Ewa Skubalska-Rafajłowicz, Automatic tissue type classification in large-scale microscopic images using Zernike moments. W: Information Systems Architecture and Technology : Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology, ISAT 2019. Pt. 2 / eds. Jerzy Świątek, Leszek Borzemski, Zofia Wilimowska. Cham : Springer, cop. 2020. s. 310–319. ISBN: 978-3-030-30603-8; 978-3-030-30604-5 Zasoby:DOIURLSFX
6	Rozdział w monografii 2019 Ewa Skubalska-Rafajłowicz, Stability of random-projection based classifiers. The Bayes error perspective. W: Stochastic models, statistics and their applications : Dresden, Germany, March 2019 / Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin (Eds.). Switzerland : Springer, cop. 2019. s. 121-130. ISBN: 978-3-030-28664-4; 978-3-030-28665-1 Zasoby:DOIURLSFX
7	Referat konferencyjny 2019 Ewa Skubalska-Rafajłowicz, Whole image and modular image face classification - what is really classified?. W: Artificial Intelligence and Soft Computing : 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019 : proceedings. Pt. 1 / eds. Leszek Rutkowski [i in.]. Switzerland : Springer, cop. 2019. s. 616-625. ISBN: 978-3-030-20911-7 Zasoby:DOISFX
8	Referat konferencyjny 2018 Ewa Skubalska-Rafajłowicz, Open-set face classification for access monitoring using spatially-organized random projections. W: Computer Information Systems and Industrial Management : 17th International Conference, CISIM 2018, Olomouc, Czech Republic, September 27-29, 2018 : proceedings / eds. Khalid Saeed, Władysław Homenda. [Cham] : Springer, cop. 2018. s. 166-177. ISBN: 978-3-319-99953-1 Zasoby:DOISFX
9	Referat konferencyjny 2018 Aneta Górniak, Ewa Skubalska-Rafajłowicz, Tissue recognition on microscopic images of histological sections using sequences of Zernike moments. W: Computer Information Systems and Industrial Management : 17th International Conference, CISIM 2018, Olomouc, Czech Republic, September 27-29, 2018 : proceedings / eds. Khalid Saeed, Władysław Homenda. [Cham] : Springer, cop. 2018. s. 16-26. ISBN: 978-3-319-99953-1 Zasoby:DOISFX
10	Rozdział w monografii 2018 Wojciech Rafajłowicz, Ewa Skubalska-Rafajłowicz, Embedding of the metric tsp into euclidean spaces = Zanurzenie metrycznego problemu komiwojażera w przestrzeniach euklidesowych. W: Automatyzacja procesów dyskretnych : teoria i zastosowania. T. 1 / pod red. Andrzeja Świerniaka i Jolanty Krystek. Gliwice : Wydawnictwo Politechniki Śląskiej, 2018. s. 189-196. ISBN: 978-83-7880-565-6

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