TY  - JOUR
AU  - Radeleczki, Balázs
AU  - Nagy, Noémi
AU  - Percze-Mravcsik, Mariann
AU  - Szemerédi, Péter
AU  - Futó, Márton
AU  - Ware, Lara
AU  - Fehér, Melinda
AU  - Klauber, András
AU  - Cserháti, Péter
AU  - Laczkó, József
AU  - Zólyominé Botzheim, Lilla
TI  - A hibrid FES-kerékpározó terápia szerepe részleges gerincvelősérültek rehabilitációjában – esettanulmány
JF  - REHABILITÁCIÓ: A MAGYAR REHABILITÁCIÓS TÁRSASÁG FOLYÓIRATA
J2  - REHABILITÁCIÓ
VL  - 34
PY  - 2024
IS  - 1
SP  - 10
EP  - 17
PG  - 8
SN  - 0866-479X
UR  - https://m2.mtmt.hu/api/publication/34773271
ID  - 34773271
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Anita
AU  - Laczkó, József
AU  - Percze-Mravcsik, Mariann
TI  - Egy denervált izomzatú gerincvelősérült funkcionális elektromos ingerléssel szabályozott triciklizése
JF  - REHABILITÁCIÓ: A MAGYAR REHABILITÁCIÓS TÁRSASÁG FOLYÓIRATA
J2  - REHABILITÁCIÓ
VL  - 33
PY  - 2023
IS  - 2-3
SP  - 146
EP  - 146
PG  - 1
SN  - 0866-479X
UR  - https://m2.mtmt.hu/api/publication/34719845
ID  - 34719845
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - GEN
AU  - Rajkó, Róbert
TI  - On problematic practice of using normalization in Self-modeling/Multivariate Curve Resolution (S/MCR). with Supplementary Material
TS  - with Supplementary Material
PY  - 2023
PG  - 63
UR  - https://m2.mtmt.hu/api/publication/34092242
ID  - 34092242
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Rajkó, Róbert
TI  - Bioinformatika - Biokemometria
PY  - 2023
UR  - https://m2.mtmt.hu/api/publication/34088704
ID  - 34088704
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Mayer, Petra
AU  - Sebesi, Balázs
AU  - Vadász, Kitty
AU  - Laczkó, József
AU  - Zentai, Norbert
AU  - Balázs, Bence
AU  - Váczi, Márk
TI  - Kinematics and muscle activity of the lower limb during single-leg stance on the two sides of the Togu Jumper
JF  - FRONTIERS IN PHYSIOLOGY
J2  - FRONT PHYSIOL
VL  - 14
PY  - 2023
PG  - 9
SN  - 1664-042X
DO  - 10.3389/fphys.2023.1049035
UR  - https://m2.mtmt.hu/api/publication/33708351
ID  - 33708351
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Gillis, Nicolas
AU  - Rajkó, Róbert
TI  - Partial Identifiability for Nonnegative Matrix Factorization
JF  - SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
J2  - SIAM J MATRIX ANAL A
VL  - 44
PY  - 2023
IS  - 1
SP  - 27
EP  - 52
PG  - 26
SN  - 0895-4798
DO  - 10.1137/22M1507553
UR  - https://m2.mtmt.hu/api/publication/33589010
ID  - 33589010
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Radeleczki, Balázs
AU  - Percze-Mravcsik, Mariann
AU  - Zólyominé Botzheim, Lilla
AU  - Laczkó, József
TI  - Prediction of leg muscle activities from arm muscle activities in arm and leg cycling
JF  - ANATOMICAL RECORD
J2  - ANAT REC
VL  - 306
PY  - 2023
IS  - 4
SP  - 710
EP  - 719
PG  - 10
SN  - 1932-8486
DO  - 10.1002/ar.25004
UR  - https://m2.mtmt.hu/api/publication/32914900
ID  - 32914900
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Gillis, Nicolas
AU  - Rajkó, Róbert
TI  - Partial Identifiability for Nonnegative Matrix Factorization
PY  - 2022
PG  - 26
UR  - https://m2.mtmt.hu/api/publication/32894534
ID  - 32894534
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zólyominé Botzheim, Lilla
AU  - Ernyey, DM
AU  - Percze-Mravcsik, Mariann
AU  - Varaljai, L
AU  - Klauber, András
AU  - Cserháti, Péter
AU  - Laczkó, József
TI  - Changes in active cycling time and distance during FES-assisted cycling before and after the pandemic closure – A case study
JF  - ARTIFICIAL ORGANS
J2  - ARTIF ORGANS
VL  - 46
PY  - 2022
IS  - 3
SP  - E178
EP  - E182
PG  - 4
SN  - 0160-564X
UR  - https://m2.mtmt.hu/api/publication/32749934
ID  - 32749934
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Akbari Lakeh, Mahsa
AU  - Abdollahi, Hamid
AU  - Rajkó, Róbert
TI  - Predicting the uniqueness of single non-negative profiles estimated by multivariate curve resolution methods
JF  - ANALYTICA CHIMICA ACTA
J2  - ANAL CHIM ACTA
VL  - 1199
PY  - 2022
PG  - 10
SN  - 0003-2670
DO  - 10.1016/j.aca.2022.339575
UR  - https://m2.mtmt.hu/api/publication/32646859
ID  - 32646859
AB  - 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.
LA  - English
DB  - MTMT
ER  -