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Kis, Krisztián Balázs
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1

Enabling cross-sectorial, circular economy transition in SM..:

Pedone, Gianfranco ; Beregi, Richárd ; Kis, Krisztián Balázs.
Procedia Manufacturing.  54 (2021)  - p. 70-75 , 2021
Link: https://doi.org/10.1016/..
 
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2

Adaptive, Hybrid Feature Selection (AHFS):

Viharos, Zsolt János ; Kis, Krisztián Balázs ; Fodor, Ádám.
Pattern Recognition.  116 (2021)  - p. 107932 , 2021
Link: https://doi.org/10.1016/..
 
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3

A simultaneous localization and mapping algorithm for senso..:

Kis, Krisztián Balázs ; Csempesz, János ; Csáji, Balázs Csanád
Procedia Manufacturing.  54 (2021)  - p. 154-159 , 2021
Link: https://doi.org/10.1016/..
 
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4

Distribution-Free Uncertainty Quantification for Kernel Met..:

Csáji, Balázs Csanád ; Kis, Krisztián Balázs
http://real.mtak.hu/101435/1/DistFree-UQ-for-Kernel-Methods.pdf.  , 2019
Link: http://real.mtak.hu/1014..
 
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5

Distribution-Free Uncertainty Quantification for Kernel Met..:

Csáji, Balázs Csanád ; Kis, Krisztián Balázs
http://arxiv.org/abs/1812.09632.  , 2018
Link: http://arxiv.org/abs/181..
 
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6

Pattern recognition based speed forecasting methodology for..:

Tettamanti, Tamás ; Csikós, Alfréd ; Kis, Krisztián Balázs..
http://journals.vgtu.lt/index.php/Transport/article/view/210/171.  , 2018
Link: http://journals.vgtu.lt/..
 
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7

Pattern recognition based speed forecasting methodology for..:

Tettamanti, Tamás ; Csikós, Alfréd ; Kis, Krisztián Balázs..
http://journals.vgtu.lt/index.php/Transport/article/view/210/171.  , 2018
Link: http://journals.vgtu.lt/..
 
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8

Reprint of: Automated stem cell production by bio-inspired ..:

Monostori, László ; Csáji, Balázs Cs. ; Egri, Péter...
CIRP Journal of Manufacturing Science and Technology.  34 (2021)  - p. 84-94 , 2021
Link: https://doi.org/10.1016/..
 
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9

Automated stem cell production by bio-inspired control:

Monostori, László ; Csáji, Balázs Cs. ; Egri, Péter...
CIRP Journal of Manufacturing Science and Technology.  33 (2021)  - p. 369-379 , 2021
Link: https://doi.org/10.1016/..
 
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10

Bio-inspired control of automated stem cell production:

Egri, Péter ; Csáji, Balázs Cs. ; Kis, Krisztián B....
Procedia CIRP.  88 (2020)  - p. 600-605 , 2020
Link: https://doi.org/10.1016/..
 
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11

Distribution-free uncertainty quantification for kernel met..:

Csáji, Balázs Cs. ; Kis, Krisztián B.
Machine Learning.  108 (2019)  8-9 - p. 1677-1699 , 2019
Link: https://doi.org/10.1007/..
 
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12

PATTERN RECOGNITION BASED SPEED FORECASTING METHODOLOGY FOR..:

Tamás Tettamanti ; Alfréd Csikós ; Krisztián Balázs Kis..
https://doi.org/10.3846/16484142.2017.1352027.  , 2018
Link: https://doi.org/10.3846/..
 
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13

Artificial Neural Network Model Based Setup Period Estimati..:

Zsolt János Viharos ; Krisztián Balázs Kis ; Imre Paniti...
doi:10.5281/zenodo.1128878.  , 2017
Link: https://zenodo.org/recor..
 
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14

Bio-inspired control of automated stem cell production:

Egri, Péter ; Csáji, Balázs Cs ; Pieske, Simon...
info:eu-repo/semantics/altIdentifier/issn/2212-8271.  , 2020
Link: https://publications.rwt..
 
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15

Occurrence and spread of a reassortant very virulent genoty..:

Mató, Tamás ; Tatár-Kis, Tímea ; Felföldi, Balázs...
Veterinary Microbiology.  245 (2020)  - p. 108663 , 2020
Link: https://doi.org/10.1016/..
 
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