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ORCIDMarcell T. Kurbucz
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2020 – today
- 2024
[j10]Zsolt Tibor Kosztyán
, Attila Imre Katona, Marcell T. Kurbucz, Zoltán Lantos:
Generalized network-based dimensionality analysis. Expert Syst. Appl. 238(Part A): 121779 (2024)- [j9]Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác:
LLT: An R package for linear law-based feature space transformation. SoftwareX 25: 101623 (2024) - 2023
- [j8]Marcell T. Kurbucz, András Sugár, Tibor Keresztély:
Analysis of the international trade networks of COVID-19 medical products. Appl. Netw. Sci. 8(1): 58 (2023) - [j7]Gergely Hanczár, Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári:
Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening (RFMS). Mach. Learn. Sci. Technol. 4(4): 45012 (2023) - [j6]Marcell T. Kurbucz:
hdData360r: A high-dimensional panel data compiler for governance, trade, and competitiveness indicators of World Bank Group platforms. SoftwareX 21: 101297 (2023) - [j5]Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári:
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. SoftwareX 22: 101366 (2023) - [i7]Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác:
LLT: An R package for Linear Law-based Feature Space Transformation. CoRR abs/2304.14211 (2023) - [i6]Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác:
Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation. CoRR abs/2305.04884 (2023) - [i5]Gergely Hanczár, Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Olivér M. Törteli, Ágnes Chripkó, Zoltán Somogyvári:
Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS). CoRR abs/2305.15793 (2023) - [i4]Péter Pósfay, Marcell T. Kurbucz, Péter Kovács, Antal Jakovác:
Learning ECG signal features without backpropagation. CoRR abs/2307.01930 (2023) - 2022
- [j4]Zsolt Tibor Kosztyán, Eszter Bogdány, István Szalkai, Marcell T. Kurbucz:
Impacts of synergies on software project scheduling. Ann. Oper. Res. 312(2): 883-908 (2022) - [j3]Zsolt Tibor Kosztyán, Ferenc Király, Marcell T. Kurbucz:
Analysis of ownership network of European companies using gravity models. Appl. Netw. Sci. 7(1): 61 (2022) - [j2]Zsolt Tibor Kosztyán, Marcell T. Kurbucz, Attila Imre Katona:
Network-based dimensionality reduction of high-dimensional, low-sample-size datasets. Knowl. Based Syst. 251: 109180 (2022) - [j1]Marcell T. Kurbucz, Attila Imre Katona:
eudistance: Distance calculator for the different levels of European NUTS regions. Softw. Impacts 13: 100327 (2022) - [i3]Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác:
Linear Laws of Markov Chains with an Application for Anomaly Detection in Bitcoin Prices. CoRR abs/2201.09790 (2022) - [i2]Antal Jakovác, Marcell T. Kurbucz, Péter Pósfay:
Reconstruction of observed mechanical motions with Artificial Intelligence tools. CoRR abs/2202.11447 (2022) - [i1]Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári:
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. CoRR abs/2206.10747 (2022)
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