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András Lukács
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2020 – today
- 2024
- [j5]Dániel Boros, Bálint Csanády, Iván Ivkovic, Lóránt Nagy, András Lukács, Zsolt László Márkus:
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability. Qual. Reliab. Eng. Int. 40(8): 4228-4246 (2024) - [c10]Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács:
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. ECAI 2024: 2548-2555 - [i6]Dániel Boros, Bálint Csanády, Iván Ivkovic, Lóránt Nagy, András Lukács, Zsolt László Márkus:
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability. CoRR abs/2401.01789 (2024) - [i5]Bálint Csanády, Lajos Muzsai, Péter Vedres, Zoltán Nádasdy, András Lukács:
LlamBERT: Large-scale low-cost data annotation in NLP. CoRR abs/2403.15938 (2024) - [i4]Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács:
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. CoRR abs/2410.03776 (2024) - [i3]Gábor Hidy, Bence Bakos, András Lukács:
Enhancing pretraining efficiency for medical image segmentation via transferability metrics. CoRR abs/2410.18677 (2024) - 2022
- [c9]Bálint Csanády, András Lukács:
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration. LREC 2022: 4253-4259 - [i2]Bálint Csanády, András Lukács:
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration. CoRR abs/2201.06757 (2022) - 2020
- [c8]Gusztáv Gaál, Balázs Maga, András Lukács:
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation information. ADGN@ECAI 2020 - [i1]Gusztáv Gaál, Balázs Maga, András Lukács:
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation. CoRR abs/2003.10304 (2020)
2010 – 2019
- 2014
- [c7]Adrián Csiszárik, Szilvia Lestyán, András Lukács
:
Efficient Apriori based algorithms for privacy preserving frequent itemset mining. CogInfoCom 2014: 431-435 - 2011
- [c6]Norbert Bánfi, László Dudás, Zsolt Fekete, Julianna Göbölös-Szabó, András Lukács
City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods". IEEE VAST 2011: 305-306
2000 – 2009
- 2009
- [c5]András Lukács, David G. Embrick, Talmadge Wright:
The Managed Hearthstone: Labor and Emotional Work in the Online Community of World of Warcraft. FaVE 2009: 165-177 - [c4]Dóra Erdös, Zsolt Fekete, András Lukács
Visualized subgraph search. IEEE VAST 2009: 267-268 - 2006
- [c3]Balázs Rácz, Csaba István Sidló, András Lukács
Two-Phase Data Warehouse Optimized for Data Mining. BIRTE 2006: 63-76 - 2005
- [j4]András Lukács:
Generating random elements of abelian groups. Random Struct. Algorithms 26(4): 437-445 (2005) - [c2]Csaba István Sidló, András Lukács
Shaping SQL-Based Frequent Pattern Mining Algorithms. KDID 2005: 188-201 - 2004
- [c1]Balázs Rácz, András Lukács:
High Density Compression of Log Files. Data Compression Conference 2004: 557 - 2001
- [j3]András Lukács
Finite Contractions of Graphs with Polynomial Growth. Eur. J. Comb. 22(1): 85-90 (2001)
1990 – 1999
- 1998
- [j2]András Lukács:
On Local Expansion of Vertex-Transitive Graphs. Comb. Probab. Comput. 7(2): 205-209 (1998) - [j1]András Lukács
Lattices in graphs with polynomial growth. Discret. Math. 186(1-3): 227-236 (1998)
Coauthor Index
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last updated on 2024-12-09 22:10 CET by the dblp team
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