E-mail: rafal.zdunek@pwr.edu.pl

Jednostka: Wydział Elektroniki, Fotoniki i Mikrosystemów » Katedra Teorii Pola, Układów Elektronicznych i Optoelektroniki

ul. Z. Janiszewskiego 11/17, Wrocław
bud. C-4, pok. 134                                              
tel. 71 320 3215

Konsultacje

• poniedziałek 13.00-15.00
• piątek 9.00-11.00

Zainteresowania naukowe

• Uczenie maszynowe; przetwarzanie sygnałów i obrazów; nieujemna faktoryzacja macierzy; dekompozycje tensora.

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Najważniejsze publikacje z ostatnich lat

2025

• Zdunek R., Tensor ring subspace analysis method for hand movement classification from multichannel surface EMG signals. Journal of Computational Science. 2025, vol. 85, art. 102520, s. 1-12.
• Michalak A., Hebda-Sobkowicz J., Kumar A., Zimroz R., Zdunek R., Wyłomańska A., Non-negative tensor factorization-based dependence map analysis for local damage detection in presence of non-Gaussian noise. Measurement (London). 2025, vol. 248, art 116840, s. 1-20.
• Del Buono, Esposito F. Selicato L., Zdunek R., Penalty hyperparameter optimization with diversity measure for nonnegative low-rank approximation. Applied Numerical Mathematics. 2025, vol. 208, s. 189-204.

2024

• Gabor M., Zdunek R., Zimroz R., Wyłomańska A., Bearing damage detection with orthogonal and nonnegative low-rank feature extraction. IEEE Transactions on Industrial Informatics. 2024, vol. 20, nr 2, s. 2944-2955
• Michalak A., Zdunek R., Zimroz R., Wyłomańska A., Influence of α-stable noise on the effectiveness of non-negative matrix factorization-simulations and real data analysis. Electronics. 2024, vol. 13, nr 5, art. 829, s. 1-19.

2023

• Gabor M., Zdunek R., Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. Applied Soft Computing. 2023, vol. 132, art. 109856
• Gabor M., Zdunek R., Zimroz R., Wodecki J., Wyłomańska A., Non-negative tensor factorization for vibration-based local damage detection. Mechanical Systems and Signal Processing. 2023, vol. 198, art. 110430, s. 1-17 
• Del Buono, Esposito F. Selicato L., Zdunek R., Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization. Applied Mathematics and Computation. 2023, vol. 457, art. 128184, s. 1-17.

2022

• Zdunek R., Fonał K. Incremental nonnegative Tucker decomposition with block-coordinate descent and recursive approaches. Symmetry-Basel. 2022, vol. 14, nr 1, art. 113, s. 1-19.

2021

• Zdunek R., Sadowski T. Image completion with approximate convex hull tensor decomposition. Signal Processing : Image Communication. 2021, vol. 95, art. 116276, s. 1-13.
• Zdunek R., Grobelny A., Witkowski J., Gnot R. I., On–off scheduling for electric vehicle charging in two-links charging stations using binary optimization approaches. Sensors. 2021, vol. 21, nr 21, art. 7149, s. 1-22.
• Fonał K., Zdunek R. Fast hierarchical tucker decomposition with single-mode preservation and tensor subspace analysis for feature extraction from augmented multimodal data. Neurocomputing. 2021, vol. 445, s. 231-243.

2020

• Zdunek R., Sadowski T. (2020), Image completion with hybrid interpolation in tensor representation, Applied Sciences, Vol. 10(3), art. 797, pp. 1-17

2019

• Zdunek R., Sadowski T. (2019), Segmented convex-hull algorithms for near-separable NMF and NTF. Neurocomputing, Vol. 331, pp. 150-164
• Zdunek R., Fonal K., Wolczowski A. (2019), Linked CP tensor decomposition algorithms for shared and individual feature extraction. Signal Processing : Image Communication, Vol. 73, pp. 37-52
• Fonal K., Zdunek R. (2019), Fast recursive nonnegative standard and hierarchical Tucker decomposition. IEEE Signal Processing Letters, Vol. 26(9), pp. 1265-1269
• Nowak M., Zdunek R., Pliński E., Świątek P., Strzelecka M., Malinka W., Plińska S., (2019) Recognition of pharmacological bi-heterocyclic compounds by using terahertz time domain spectroscopy and chemometrics. Sensors (Basel), Vol. 19(15), art. 3349, pp. 1-18

2018

• Zdunek R., Fonal K. (2018), Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares–based nonnegative tensor factorization with the MapReduce paradigm, Concurrency and Computation: Practice and Experience, Vol. 30(17), art. e4473, pp. 1-16

2017

• Wołczowski A., Zdunek R. (2017), Electromyography and mechanomyography signal recognition: Experimental analysis using multi-way array decomposition methods, Biocybernetics and Biomedical Engineering, Vol. 36(1), pp. 103-113.

2016

• Zdunek R., Nowak M., Pliński E. (2016), Statistical classification of soft solder alloys by laser-induced breakdown spectroscopy: review of methods, Journal of the European Optical Society. Rapid Publications, Vol. 11, pp. 16006-1 -16006-20.
• Wojcik M. R., Zdunek R., Antonczak A. (2016), Unsupervised verification of laser-induced breakdown spectroscopy dataset clustering, Spectrochimica Acta. Part B, Atomic Spectroscopy, Vol. 126, pp. 84-92.

2015

• Yokota T,, Zdunek R,, Cichocki A, and Yamashita Y. (2015), Smooth Nonnegative Matrix and Tensor Factorizations for Robust Multi-way Data Analysis, Signal Processing, Vol. 113, pp. 234-249.

2014

• Zdunek R. (2014), Regularized Nonnegative Matrix Factorization: Geometrical Interpretation and Application to Spectral Unmixing, Applied Mathematics and Computer Science, Vol. 24(2), pp. 233-247.

2013

• Zdunek R. (2013), Improved Convolutive and Under-determined Blind Audio Source Separation with MRF Smoothing, Cognitive Computation, Vol. 5(4), pp. 493-503.

2012

• Cichocki A., Zdunek R., Amari S-I., Hori G. and Umeno K. (2012), Signal Separating Device, Signal Separating Method, Information Recording Medium, and Program, US Patent., October 9, 2012, No. 8 285 773 B2.

2011

• He Z., Xie S., Zdunek R., Zhou G. and Cichocki A. (2011), Symmetric Nonnegative Matrix Factorization (SNMF): Algorithms and Application to Probabilistic Clustering, IEEE Transactions on Neural Networks, Vol. 22(12), pp. 2117-2131.

Publikacje w bazie DONA

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Wybrane publikacje
1	Artykuł 2025 Anil Kumar, Non-negative tensor factorization-based dependence map analysis for local damage detection in presence of non-Gaussian noise. Measurement (London). 2025, vol. 248, art 116840, s. 1-20. ISSN: 0263-2241; 1873-412X Zasoby:DOIURLSFX
2	Artykuł 2025 Tensor ring subspace analysis method for hand movement classification from multichannel surface EMG signals. Journal of Computational Science. 2025, vol. 85, art. 102520, s. 1-12. ISSN: 1877-7503; 1877-7511 Zasoby:DOIURLSFX
3	Artykuł 2025 Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Penalty hyperparameter optimization with diversity measure for nonnegative low-rank approximation. Applied Numerical Mathematics. 2025, vol. 208, s. 189-204. ISSN: 0168-9274; 1873-5460 Zasoby:DOIURLSFX
4	Referat konferencyjny 2024 Filtered tensor ring-based algorithm for low-rank image completion. W: 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech),June 25 – 28, 2024. B.m. : IEEE, 2024. s. 1-6. ISBN: 978-953-290-135-1; 979-8-3503-9079-7 Zasoby:DOIURL
5	Artykuł 2024 Influence of α-stable noise on the effectiveness of non-negative matrix factorization-simulations and real data analysis. Electronics. 2024, vol. 13, nr 5, art. 829, s. 1-19. ISSN: 2079-9292 Zasoby:DOIURLSFX
6	Artykuł 2024 Mateusz O Gabor, Bearing damage detection with orthogonal and nonnegative low-rank feature extraction. IEEE Transactions on Industrial Informatics. 2024, vol. 20, nr 2, s. 2944-2955. ISSN: 1551-3203; 1941-0050 Zasoby:DOIURLSFX
7	Referat konferencyjny 2023 Mateusz O Gabor, Non-negative matrix underapproximation as optimal frequency band selector. W: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. [Danvers, MA] : IEEE, 2023. s. 1-6. ISBN: 979-8-3503-3182-0; 979-8-3503-3183-7 Zasoby:DOIURL
8	Referat konferencyjny 2023 Robert Noparlik, Hand gesture recognition system with finite state machine for remote desktop control. W: 2023 8th International Conference on Smart and Sustainable Technologies : SpliTech 2023, Hybrid, June 20–23, 2023 Split/Bol, Croatia / eds. Šolić, Petar [i in.]. Danvers, MA : IEEE, cop. 2023. s. 1-6. ISBN: 978-953-290-128-3; 979-8-3503-2320-7 Zasoby:DOIURL
9	Referat konferencyjny 2023 Tensor train subspace analysis for classification of hand gestures with surface EMG signals. W: Computational Science - ICCS 2023 : 23rd International Conference Prague, Czech Republic, July 3-5, 2023 : proceedings. Pt. 2 / eds. Jiří Mikyška [i in.]. Cham : Springer, cop. 2023. s. 662-693. ISBN: 978-3-031-36020-6; 978-3-031-36021-3 Zasoby:DOIURLSFX
10	Artykuł 2023 Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization. Applied Mathematics and Computation. 2023, vol. 457, art. 128184, s. 1-17. ISSN: 0096-3003; 1873-5649 Zasoby:DOIURLSFX

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