András Lukács

24 papers A 1B 2Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Do Large Language Models Possess a Theory of Mind? A Comparative Evaluation Using the Strange Stories Paradigm.
CoRR
Anna Babarczy, András Lukács, Péter Vedres, Zeteny Bujka
2025 J jnl
Estimating room acoustic descriptors from bag-of-vectors representation with transformers.
Eng. Appl. Artif. Intell.
Bence Bakos, Gábor Hidy, Bálint Csanády, Csaba Huszty, András Lukács
2025 J jnl
Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges.
CoRR
Lajos Muzsai, David Imolai, András Lukács
2024 J jnl
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability.
CoRR
Dániel Boros, Bálint Csanády, Iván Ivkovic, Lóránt Nagy, András Lukács, Zsolt László Márkus
2024 J jnl
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability.
Qual. Reliab. Eng. Int.
Dániel Boros, Bálint Csanády, Iván Ivkovic, Lóránt Nagy, András Lukács, Zsolt László Márkus
2024 J jnl
HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing.
CoRR
Lajos Muzsai, David Imolai, András Lukács
2024 J jnl
LlamBERT: Large-scale low-cost data annotation in NLP.
CoRR
Bálint Csanády, Lajos Muzsai, Péter Vedres, Zoltán Nádasdy, András Lukács
2024 A conf
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks.
ECAI
Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács
2024 J jnl
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks.
CoRR
Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács
2022 B conf
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration.
LREC
Bálint Csanády, András Lukács
2022 J jnl
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration.
CoRR
Bálint Csanády, András Lukács
2020 — conf
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation information.
ADGN@ECAI
Gusztáv Gaál, Balázs Maga, András Lukács
2020 J jnl
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation.
CoRR
Gusztáv Gaál, Balázs Maga, András Lukács
2014 — conf
Efficient Apriori based algorithms for privacy preserving frequent itemset mining.
CogInfoCom
Adrián Csiszárik, Szilvia Lestyán, András Lukács
2011 — conf
City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods".
IEEE VAST
Norbert Bánfi, László Dudás, Zsolt Fekete, Julianna Göbölös-Szabó, András Lukács, Ádám Nagy, Adrienn Szabó, Zoltán Szabó, Gábor Szücs
2009 — conf
The Managed Hearthstone: Labor and Emotional Work in the Online Community of World of Warcraft.
FaVE
András Lukács, David G. Embrick, Talmadge Wright
2009 — conf
Visualized subgraph search.
IEEE VAST
Dóra Erdös, Zsolt Fekete, András Lukács
2006 — conf
Two-Phase Data Warehouse Optimized for Data Mining.
BIRTE
Balázs Rácz, Csaba István Sidló, András Lukács, András A. Benczúr
2005 J jnl
Generating random elements of abelian groups.
Random Struct. Algorithms
András Lukács
2005 — conf
Shaping SQL-Based Frequent Pattern Mining Algorithms.
KDID
Csaba István Sidló, András Lukács
2004 B conf
High Density Compression of Log Files.
Data Compression Conference
Balázs Rácz, András Lukács
2001 J jnl
Finite Contractions of Graphs with Polynomial Growth.
Eur. J. Comb.
András Lukács, Norbert Seifter
1998 J jnl
Lattices in graphs with polynomial growth.
Discret. Math.
András Lukács, Norbert Seifter
1998 J jnl
On Local Expansion of Vertex-Transitive Graphs.
Comb. Probab. Comput.
András Lukács