On Local Expansion of Vertex-Transitive Graphs. - András Lukács (Comb. Probab. Comput., 1998)

Lattices in graphs with polynomial growth. - András Lukács; Norbert Seifter (Discret. Math., 1998)

Finite Contractions of Graphs with Polynomial Growth. - András Lukács; Norbert Seifter (Eur. J. Comb., 2001)

High Density Compression of Log Files. - Balázs Rácz; András Lukács (Data Compression Conference, 2004)

Shaping SQL-Based Frequent Pattern Mining Algorithms. - Csaba István Sidló; András Lukács (KDID, 2005)

Generating random elements of abelian groups. - András Lukács (Random Struct. Algorithms, 2005)

Two-Phase Data Warehouse Optimized for Data Mining. - Balázs Rácz; Csaba István Sidló; András Lukács; András A. Benczúr (BIRTE, 2006)

The Managed Hearthstone: Labor and Emotional Work in the Online Community of World of Warcraft. - András Lukács; David G. Embrick; Talmadge Wright (FaVE, 2009)

Visualized subgraph search. - Dóra Erdös; Zsolt Fekete; András Lukács (IEEE VAST, 2009)

City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods". - Norbert Bánfi; László Dudás; Zsolt Fekete; Julianna Göbölös-Szabó; András Lukács; Ádám Nagy; Adrienn Szabó; Zoltán Szabó 002; Gábor Szücs (IEEE VAST, 2011)

Efficient Apriori based algorithms for privacy preserving frequent itemset mining. - Adrián Csiszárik; Szilvia Lestyán; András Lukács (CogInfoCom, 2014)

Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation information. - Gusztáv Gaál; Balázs Maga; András Lukács (ADGN@ECAI, 2020)

Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation. - Gusztáv Gaál; Balázs Maga; András Lukács (CoRR, 2020)

Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration. - Bálint Csanády; András Lukács (LREC, 2022)

Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. - Bálint Csanády; Lóránt Nagy; Dániel Boros; Iván Ivkovic; Dávid Kovács; Dalma Tóth-Lakits; Zsolt László Márkus; András Lukács (ECAI, 2024)

LlamBERT: Large-scale low-cost data annotation in NLP. - Bálint Csanády; Lajos Muzsai; Péter Vedres; Zoltán Nádasdy; András Lukács (CoRR, 2024)

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing. - Lajos Muzsai; David Imolai; András Lukács (CoRR, 2024)

Deep learning the Hurst parameter of linear fractional processes and assessing its reliability. - Dániel Boros; Bálint Csanády; Iván Ivkovic; Lóránt Nagy; András Lukács; Zsolt László Márkus (Qual. Reliab. Eng. Int., 2024)

Estimating room acoustic descriptors from bag-of-vectors representation with transformers. - Bence Bakos; Gábor Hidy; Bálint Csanády; Csaba Huszty; András Lukács (Eng. Appl. Artif. Intell., 2025)

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges. - Lajos Muzsai; David Imolai; András Lukács (CoRR, 2025)