Modeling and Verification of Reliable Messaging by Graph Transformation Systems. - László Gönczy; Máté Kovács; Dániel Varró (GT-VC@CONCUR, 2006)

Simulation and Formal Analysis of Workflow Models. - Máté Kovács; László Gönczy (GT-VMT@ETAPS, 2006)

Formal modeling of BPEL workflows including fault and compensation handling. - Máté Kovács; Dániel Varró; László Gönczy (EFTS, 2007)

An integrated framework for the dependability evaluation of distributed mobile applications. - Máté Kovács; Paolo Lollini; István Majzik; Andrea Bondavalli (SERENE, 2008)

Formal analysis of BPEL. workflows with compensation by model checking. - Máté Kovács; Dániel Varró; László Gönczy (Comput. Syst. Sci. Eng., 2008)

Information Flow Analysis in Business Processes. - Máté Kovács (AlgoSyn, 2010)

Runtime Enforcement of Information Flow Security in Tree Manipulating Processes. - Máté Kovács; Helmut Seidl (ESSoS, 2012)

Model Checking Information Flow in Reactive Systems. - Rayna Dimitrova; Bernd Finkbeiner; Máté Kovács; Markus N. Rabe; Helmut Seidl (VMCAI, 2012)

Relational abstract interpretation for the verification of 2-hypersafety properties. - Máté Kovács; Helmut Seidl; Bernd Finkbeiner (CCS, 2013)

Information flow security in tree-manipulating processes. - Máté Kovács (2013)

Interprocedural Information Flow Analysis of XML Processors. - Helmut Seidl; Máté Kovács (LATA, 2014)

An Analysis of Universal Information Flow Based on Self-Composition. - Christian Müller 008; Máté Kovács; Helmut Seidl (CSF, 2015)

Beam-steering all-optical switch for multi-core fibers. - Hans Christian Hansen Mulvad; Andrew Parker; Bryan King; Daryl Smith; Máté Kovács; Saurabh Jain; John R. Hayes; Marco N. Petrovich; David J. Richardson; Nick Parsons (OFC, 2017)

Towards Assessing Online Customer Reviews from the Product Designer's Viewpoint. - Máté Kovács; Victor V. Kryssanov (I3E, 2019)

A Supplementary Feature Set for Sentiment Analysis in Japanese Dialogues. - Peter Lajos Ihasz; Máté Kovács; Ian Piumarta; Victor V. Kryssanov (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Assessing Customer Needs Based On Online Reviews: A Topic Modeling Approach. - Thariq M. Jauhari; Soomin Kim; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (IICST, 2020)

An Unsupervised Approach for Customer Need Assessment in E-commerce: A Case Study of Japanese Customer Reviews. - Máté Kovács; Daniil Buryakov; Victor V. Kryssanov (CCIOT, 2021)

Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. - Daniil Buryakov; Airo Hino; Máté Kovács; Uwe Serdült (BESC, 2022)

Using Open Government Data to Facilitate the Design of Voting Advice Applications. - Daniil Buryakov; Máté Kovács; Victor V. Kryssanov; Uwe Serdült (ePart, 2022)

A Machine Learning Approach to Government Business Process Re-engineering. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (BigComp, 2023)

E-Participation Maturity Model Development based on the Cases of Germany, Japan and Switzerland. - Uwe Serdült; Gabriel Hofmann; Máté Kovács; Konatsu Sugimoto; Yuuka Watanabe (EGOV-CeDEM-ePart-*, 2023)

Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. - Mohamed Akrout; Bálint Gyepesi; Péter Holló; Adrienn Poór; Blága Kincso; Stephen Solis; Katrina Cirone; Jeremy Kawahara; Dekker Slade; Latif Abid; Máté Kovács; István Fazekas (DGM4MICCAI, 2023)

Few-Shot Learning for Character Recognition in Persian Historical Documents. - Alireza Hajebrahimi; Michael Evan Santoso; Máté Kovács; Victor V. Kryssanov (LOD (1), 2023)

A Multi-Label Classifier for Online Petition Systems. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (DG.O, 2024)

A BERT-based Approach to Alleviate Civic Tech Tools Overcrowding: A case study of Taiwan's JOIN e-petition system. - Ruihao Wang; Máté Kovács; Victor V. Kryssanov; Uwe Serdült (DG.O, 2024)

Temporal Dynamics and Success Patterns of Online Petitions: A Time-Series Clustering Approach. - Máté Kovács; Daniil Buryakov; Didier Gohourou; Uwe Serdült (ICRAI, 2024)

Balancing Performance and Computational Cost for Online Petition Processing. - Christopher Kevin Siswanto; Máté Kovács; Uwe Serdült (ICRAI, 2024)

Multicultural Observations in a Three-University Global Distributed Software Development Course: A UML Case Study. - Daniel Moritz Marutschke; Patricia Brockmann; Tri Astoto Kurniawan; Máté Kovács; Victor V. Kryssanov (WSSE, 2024)

IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Big Data Cogn. Comput., 2024)

Enhancing the design of voting advice applications with BERT language model. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Frontiers Artif. Intell., 2024)

Towards Efficient and Interpretable Machine Learning for Classifying Petition Admissibility: A Case Study of the JOIN Platform. - Ruihao Wang; Máté Kovács; Olivia Wang; Uwe Serdült (EGOV, 2025)

Benchmarking with a Language Model Initial Selection for Text Classification Tasks. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Mach. Learn. Knowl. Extr., 2025)