@article{MTMT:34773271,
	title = {A hibrid FES-kerékpározó terápia szerepe részleges gerincvelősérültek rehabilitációjában – esettanulmány},
	url = {https://m2.mtmt.hu/api/publication/34773271},
	author = {Radeleczki, Balázs and Nagy, Noémi and Percze-Mravcsik, Mariann and Szemerédi, Péter and Futó, Márton and Ware, Lara and Fehér, Melinda and Klauber, András and Cserháti, Péter and Laczkó, József and Zólyominé Botzheim, Lilla},
	journal-iso = {REHABILITÁCIÓ},
	journal = {REHABILITÁCIÓ: A MAGYAR REHABILITÁCIÓS TÁRSASÁG FOLYÓIRATA},
	volume = {34},
	unique-id = {34773271},
	issn = {0866-479X},
	year = {2024},
	pages = {10-17}
}

@article{MTMT:34719845,
	title = {Egy denervált izomzatú gerincvelősérült funkcionális elektromos ingerléssel szabályozott triciklizése},
	url = {https://m2.mtmt.hu/api/publication/34719845},
	author = {Nagy, Anita and Laczkó, József and Percze-Mravcsik, Mariann},
	journal-iso = {REHABILITÁCIÓ},
	journal = {REHABILITÁCIÓ: A MAGYAR REHABILITÁCIÓS TÁRSASÁG FOLYÓIRATA},
	volume = {33},
	unique-id = {34719845},
	issn = {0866-479X},
	year = {2023},
	pages = {146-146}
}

@misc{MTMT:34092242,
	title = {On problematic practice of using normalization in Self-modeling/Multivariate Curve Resolution (S/MCR). with Supplementary Material},
	url = {https://m2.mtmt.hu/api/publication/34092242},
	author = {Rajkó, Róbert},
	unique-id = {34092242},
	year = {2023},
	orcid-numbers = {Rajkó, Róbert/0000-0002-6234-658X}
}

@misc{MTMT:34088704,
	title = {Bioinformatika - Biokemometria},
	url = {https://m2.mtmt.hu/api/publication/34088704},
	author = {Rajkó, Róbert},
	unique-id = {34088704},
	year = {2023},
	orcid-numbers = {Rajkó, Róbert/0000-0002-6234-658X}
}

@article{MTMT:33708351,
	title = {Kinematics and muscle activity of the lower limb during single-leg stance on the two sides of the Togu Jumper},
	url = {https://m2.mtmt.hu/api/publication/33708351},
	author = {Mayer, Petra and Sebesi, Balázs and Vadász, Kitty and Laczkó, József and Zentai, Norbert and Balázs, Bence and Váczi, Márk},
	doi = {10.3389/fphys.2023.1049035},
	journal-iso = {FRONT PHYSIOL},
	journal = {FRONTIERS IN PHYSIOLOGY},
	volume = {14},
	unique-id = {33708351},
	year = {2023},
	eissn = {1664-042X},
	orcid-numbers = {Sebesi, Balázs/0000-0002-7786-0469}
}

@article{MTMT:33589010,
	title = {Partial Identifiability for Nonnegative Matrix Factorization},
	url = {https://m2.mtmt.hu/api/publication/33589010},
	author = {Gillis, Nicolas and Rajkó, Róbert},
	doi = {10.1137/22M1507553},
	journal-iso = {SIAM J MATRIX ANAL A},
	journal = {SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS},
	volume = {44},
	unique-id = {33589010},
	issn = {0895-4798},
	abstract = {Abstract. Given a nonnegative matrix factorization, \\(R\\) , and a factorization rank, \\(r\\) , exact nonnegative matrix factorization (exact NMF) decomposes \\(R\\) as the product of two nonnegative matrices, \\(C\\) and \\(S\\) with \\(r\\) columns, such as \\(R = CS^\\top\\) . A central research topic in the literature is the conditions under which such a decomposition is unique/identifiable up to trivial ambiguities. In this paper, we focus on partial identifiability, that is, the uniqueness of a subset of columns of \\(C\\) and \\(S\\) . We start our investigations with the data?based uniqueness (DBU) theorem from the chemometrics literature. The DBU theorem analyzes all feasible solutions of exact NMF and relies on sparsity conditions on \\(C\\) and \\(S\\) . We provide a mathematically rigorous theorem of a recently published restricted version of the DBU theorem, relying only on simple sparsity and algebraic conditions: it applies to a particular solution of exact NMF (as opposed to all feasible solutions) and allows us to guarantee the partial uniqueness of a single column of \\(C\\) or \\(S\\) . Second, based on a geometric interpretation of the restricted DBU theorem, we obtain a new partial identifiability result. This geometric interpretation also leads us to another partial identifiability result in the case \\(r=3\\) . Third, we show how partial identifiability results can be used sequentially to guarantee the identifiability of more columns of \\(C\\) and \\(S\\) . We illustrate these results on several examples, including one from the chemometrics literature.},
	year = {2023},
	eissn = {1095-7162},
	pages = {27-52},
	orcid-numbers = {Rajkó, Róbert/0000-0002-6234-658X}
}

@article{MTMT:32914900,
	title = {Prediction of leg muscle activities from arm muscle activities in arm and leg cycling},
	url = {https://m2.mtmt.hu/api/publication/32914900},
	author = {Radeleczki, Balázs and Percze-Mravcsik, Mariann and Zólyominé Botzheim, Lilla and Laczkó, József},
	doi = {10.1002/ar.25004},
	journal-iso = {ANAT REC},
	journal = {ANATOMICAL RECORD},
	volume = {306},
	unique-id = {32914900},
	issn = {1932-8486},
	year = {2023},
	eissn = {1932-8494},
	pages = {710-719}
}

@techreport{MTMT:32894534,
	title = {Partial Identifiability for Nonnegative Matrix Factorization},
	url = {https://m2.mtmt.hu/api/publication/32894534},
	author = {Gillis, Nicolas and Rajkó, Róbert},
	unique-id = {32894534},
	year = {2022},
	orcid-numbers = {Gillis, Nicolas/0000-0001-6423-6897; Rajkó, Róbert/0000-0002-6234-658X}
}

@article{MTMT:32749934,
	title = {Changes in active cycling time and distance during FES-assisted cycling before and after the pandemic closure – A case study},
	url = {https://m2.mtmt.hu/api/publication/32749934},
	author = {Zólyominé Botzheim, Lilla and Ernyey, DM and Percze-Mravcsik, Mariann and Varaljai, L and Klauber, András and Cserháti, Péter and Laczkó, József},
	journal-iso = {ARTIF ORGANS},
	journal = {ARTIFICIAL ORGANS},
	volume = {46},
	unique-id = {32749934},
	issn = {0160-564X},
	year = {2022},
	eissn = {1525-1594},
	pages = {E178-E182}
}

@article{MTMT:32646859,
	title = {Predicting the uniqueness of single non-negative profiles estimated by multivariate curve resolution methods},
	url = {https://m2.mtmt.hu/api/publication/32646859},
	author = {Akbari Lakeh, Mahsa and Abdollahi, Hamid and Rajkó, Róbert},
	doi = {10.1016/j.aca.2022.339575},
	journal-iso = {ANAL CHIM ACTA},
	journal = {ANALYTICA CHIMICA ACTA},
	volume = {1199},
	unique-id = {32646859},
	issn = {0003-2670},
	abstract = {In many kinds of chemical data, one or more species are unknown and the only efficient way to identify and/or quantify them is by mathematical resolution of the mixture spectra. The major problem with such mathematical decompositions is the possibility of obtaining a range of feasible solutions instead of a unique solution due to insufficient prior information about the system under study. However, even with the minimal non-negativity assumptions, there may be some levels of uniqueness, i.e., full/partial/fractional, in the results of the bilinear decomposition of chemical data which is very important to detect. In this study, a procedure is proposed to predict the uniqueness of the resolved non-negative profiles obtained by MCR-ALS (or analogous methods like NMF, EFA, SIMPLISMA, ITTFA, HELP, etc.). This uniqueness prediction is based on the data-based uniqueness (DBU) theorem and the general rule of uniqueness (GRU) presented in previous studies. The proposed procedure is easy to implement, has no additional computational cost, and is general for different systems with any number of components. Several simulated and experimental datasets containing different numbers of components were used to examine and evaluate the proposed procedure. © 2022 Elsevier B.V.},
	keywords = {PREDICTION; Computation theory; simulation; Forecasting; Feasible solution; Non-negativity; Multivariate curve resolution; Number of components; Priori information; resolution methods; Non negatives; Spectra's; Chemical data; Mathematical decomposition},
	year = {2022},
	eissn = {1873-4324},
	orcid-numbers = {Akbari Lakeh, Mahsa/0000-0002-1886-7468; Rajkó, Róbert/0000-0002-6234-658X}
}