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Dávid Nagy

David Nagy

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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Books and Theses

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2020
[b1]
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Dávid Nagy:
Similarity Based Rough Sets and its Applications in Data Mining. University of Debrecen, Hungary, 2020

Journal Articles

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2024
[j6]
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Tamás Mihálydeák, Tamás Kádek, Dávid Nagy, Mihir K. Chakraborty:
Intensions and extensions of granules: A two-component treatment. Int. J. Approx. Reason. 169: 109182 (2024)
[j5]
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Dávid Nagy, Tamás Zsom, Andrea Taczmanne Bruckner, Tamás Somogyi, Viktoria Zsom-Muha, Jozsef Felfoldi:
Comparison of the Bactericidal Effect of Ultrasonic and Heat Combined with Ultrasonic Treatments on Egg Liquids and Additional Analysis of Their Effect by NIR Spectral Analysis. Sensors 24(14): 4547 (2024)
2022
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Dávid Nagy, László Baranyai, Lien Le Phuong Nguyen, Andrea Taczmanne Bruckner, Tamás Zsom, Csaba Németh, Jozsef Felfoldi, Viktoria Zsom-Muha:
Combined Effect of Ultrasound and Low-Heat Treatments on E. coli in Liquid Egg Products and Analysis of the Inducted Structural Alterations by NIR Spectroscopy. Sensors 22(24): 9941 (2022)
2021
[j3]
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David Nagy, Jozsef Felfoldi, Andrea Taczmanne Bruckner, Csilla Mohacsi-Farkas, Zsanett Bodor, Istvan Kertesz, Csaba Németh, Viktoria Zsom-Muha:
Determining Sonication Effect on E. coli in Liquid Egg, Egg Yolk and Albumen and Inspecting Structural Property Changes by Near-Infrared Spectra. Sensors 21(2): 398 (2021)
2020
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Dávid Nagy:
Similarity-based Rough Sets and Its Applications in Data Mining. Trans. Rough Sets 22: 252-323 (2020)
2019
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Dávid Nagy, Tamás Mihálydeák, László Aszalós:
Different Types of Search Algorithms for Rough Sets. Acta Cybern. 24(1): 105-120 (2019)

Conference and Workshop Papers

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2021
[c8]
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David Nagy, Zhenya Warshavsky, Lloyd Haydn Hughes:
Improved Image Aggregation for Large-Scale Cloud-Free Image Creation. IGARSS 2021: 3889-3892
2020
[c7]
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Dávid Nagy, Tamás Mihálydeák, Tamás Kádek:
Similarity-Based Rough Sets with Annotation Using Deep Learning. IFIP TC12 ICIS 2020: 93-102
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Dávid Nagy, Tamás Mihálydeák, Tamás Kádek:
Similarity Based Granules. IJCRS 2020: 35-47
2019
[c5]
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László Aszalós, Dávid Nagy:
Selecting representatives. FedCSIS (Communication Papers) 2019: 13-19
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László Aszalós, Dávid Nagy:
Iterative Set Approximations Based on Tolerance Relation. IJCRS 2019: 78-90
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Dávid Nagy, László Aszalós:
Approximation Based on Representatives. IJCRS 2019: 91-101
2018
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Dávid Nagy, Tamás Mihálydeák, László Aszalós:
Similarity Based Rough Sets with Annotation. IJCSR 2018: 88-100
2017
[c1]
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Dávid Nagy, Tamás Mihálydeák, László Aszalós:
Similarity Based Rough Sets. IJCRS (2) 2017: 94-107

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