| Impact of non-Poissonian activity patterns on spreading processes A Vazquez, B Racz, A Lukacs, AL Barabasi Physical review letters 98 (15), 158702, 2007 | 421 | 2007 |
| Dynamics of information access on the web Z Dezsö, E Almaas, A Lukács, B Rácz, I Szakadát, AL Barabási Physical Review E 73 (6), 066132, 2006 | 367 | 2006 |
| Attention u-net based adversarial architectures for chest x-ray lung segmentation G Gaál, B Maga, A Lukács arXiv preprint arXiv:2003.10304, 2020 | 214 | 2020 |
| High density compression of log files B Rácz, A Lukács Data Compression Conference, 2004. Proceedings. DCC 2004, 557, 2004 | 31 | 2004 |
| Shaping SQL-based frequent pattern mining algorithms CI Sidló, A Lukács International Workshop on Knowledge Discovery in Inductive Databases, 188-201, 2005 | 16 | 2005 |
| Near representations of finite groups L Babai, K Friedl, A Lukács preprint, 2003 | 9 | 2003 |
| Architecture for mining massive web logs with experiments AA Benczúr, K Csalogány, K Hum, A Lukács, B Rácz, C Sidló, M Uher, ... Proceedings of the HUBUSKA Open Workshop on Generic Issues of Knowledge …, 2005 | 8 | 2005 |
| Finite contractions of graphs with polynomial growth A Lukács, N Seifter European Journal of Combinatorics 22 (1), 85-90, 2001 | 8 | 2001 |
| Two-phase data warehouse optimized for data mining B Rácz, CI Sidló, A Lukács, AA Benczúr International Workshop on Business Intelligence for the Real-Time Enterprise …, 2006 | 7 | 2006 |
| LlamBERT: Large-scale low-cost data annotation in NLP B Csanády, L Muzsai, P Vedres, Z Nádasdy, A Lukács arXiv preprint arXiv:2403.15938, 2024 | 6 | 2024 |
| Lattices in graphs with polynomial growth A Lukács, N Seifter Discrete mathematics 186 (1-3), 227-236, 1998 | 5 | 1998 |
| Klaszterezés D Fogaras, A Lukács Informatikai algoritmusok II. 29. fejezet., 1409-1435, 2005 | 4 | 2005 |
| Telephone call network data mining: A survey with experiments M Kurucz, L Lukács, D Silklói, AA Benczúr, K Csalogány, A Lukács Handbook of Large-Scale Random Networks, 489-530, 2008 | 3 | 2008 |
| Generating random elements of abelian groups A Lukács Random Structures & Algorithms 26 (4), 437-445, 2005 | 3 | 2005 |
| City sentinel-VAST 2011 mini challenge 1 award:“Outstanding integration of computational and visual methods” N Bánfi, L Dudás, Z Fekete, A Lukács, Á Nagy, A Szabó, Z Szabó, ... 2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 305-306, 2011 | 2 | 2011 |
| Visualized subgraph search D Erdos, Z Fekete, A Lukács 2009 IEEE Symposium on Visual Analytics Science and Technology, 267-268, 2009 | 2 | 2009 |
| On local expansion of vertex-transitive graphs A Lukács Combinatorics, Probability and Computing 7, 205-209, 1998 | 2 | 1998 |
| Deep learning the Hurst parameter of linear fractional processes and assessing its reliability D Boros, B Csanády, I Ivkovic, L Nagy, A Lukács, L Márkus Quality and Reliability Engineering International 40 (8), 4228-4246, 2024 | 1 | 2024 |
| Efficient Apriori based algorithms for privacy preserving frequent itemset mining A Csiszárik, S Lestyán, A Lukács 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 431-435, 2014 | 1 | 2014 |
| The Dynamics of Information Access in the Online Media Z Dezso APS March Meeting Abstracts, D23. 008, 2005 | 1 | 2005 |
Albert-László BarabásiNortheastern University, Harvard Medical SchoolVerified email at neu.edu
