Regression Slicing and Its Use in Regression Testing. - István Forgács; Ákos Hajnal; Éva Takács (COMPSAC, 1998)

An Applicable Test Data Generation Algorithm for Domain Errors. - Ákos Hajnal; István Forgács (ISSTA, 1998)

A Precise Demand-Driven Def-Use Chaining Algorithm. - Ákos Hajnal; István Forgács (CSMR, 2002)

Engineering Web Service Invocations from Agent Systems. - László Zsolt Varga; Ákos Hajnal (CEEMAS, 2003)

An Agent Based Approach for Migrating Web Services to Semantic Web Services. - László Zsolt Varga; Ákos Hajnal; Zsolt Werner (AIMSA, 2004)

Knowledge Driven Architecture for Home Care. - Ákos Hajnal; David Isern; Antonio Moreno; Gianfranco Pedone; László Zsolt Varga (CEEMAS, 2007)

Benefits of Provenance in Home Care. - Ákos Hajnal; Tamás Kifor; Gianfranco Pedone; László Zsolt Varga (HealthGrid, 2007)

Agent-based execution of personalised home care treatments. - David Isern; Antonio Moreno; David Sánchez 001; Ákos Hajnal; Gianfranco Pedone; László Z. Varga (Appl. Intell., 2011)

Understanding Program Slices. - Ákos Hajnal; István Forgács (Acta Cybern., 2012)

A demand-driven approach to slicing legacy COBOL systems. - Ákos Hajnal; István Forgács (J. Softw. Maintenance Res. Pract., 2012)

Practical Application of program Slicing and its Use in Software Testing and Maintenance - Ákos Hajnal (2013)

WS-PGRADE/gUSE and Clouds. - Zoltán Farkas; Ákos Hajnal; Péter Kacsuk (Science Gateways for Distributed Computing Infrastructures, 2014)

Remote Storage Resource Management in WS-PGRADE/gUSE. - Ákos Hajnal; Zoltán Farkas; Péter Kacsuk; Tamás Pintér (Science Gateways for Distributed Computing Infrastructures, 2014)

Data Avenue: Remote Storage Resource Management in WS-PGRADE/gUSE. - Ákos Hajnal; Zoltán Farkas; Péter Kacsuk (IWSG, 2014)

Remote storage management in science gateways via data bridging. - Ákos Hajnal; Istvan Marton; Zoltán Farkas; Péter Kacsuk (Concurr. Comput. Pract. Exp., 2015)

Enabling Workflow-Oriented Science Gateways to Access Multi-Cloud Systems. - Zoltán Farkas; Péter Kacsuk; Ákos Hajnal (J. Grid Comput., 2016)

Milky way analysis through a Science Gateway: workflows and resource monitoring. - Eva Sciacca; Fabio Vitello; Ugo Becciani; Alessandro Costa; Ákos Hajnal; Péter Kacsuk; Sergio Molinari; Anna Maria Di Giorgio; Eugenio Schisano; Scige John Liu; Davide Elia; Stefano Cavuoti; et al. (PeerJ Prepr., 2017)

ENTICE VM Image Analysis and Optimised Fragmentation. - Ákos Hajnal; Gabor Kecskemeti; Attila Csaba Marosi; József Kovács; Péter Kacsuk; Róbert Lovas (J. Grid Comput., 2018)

MiCADO - Microservice-based Cloud Application-level Dynamic Orchestrator. - Tamás Kiss; Péter Kacsuk; József Kovács; Botond Rakoczi; Ákos Hajnal; Attila Farkas; Gregoire Gesmier; Gábor Terstyánszky (Future Gener. Comput. Syst., 2019)

VIALACTEA science gateway for Milky Way analysis. - Eva Sciacca; Fabio Vitello; Ugo Becciani; Alessandro Costa; Ákos Hajnal; Péter Kacsuk; Zoltán Farkas; Istvan Marton; Sergio Molinari; Anna Maria Di Giorgio; Eugenio Schisano; Scige John Liu; et al. (Future Gener. Comput. Syst., 2019)

Cloud-agnostic architectures for machine learning based on Apache Spark. - Eniko Nagy; Róbert Lovas; Istvan Pintye; Ákos Hajnal; Péter Kacsuk (Adv. Eng. Softw., 2021)

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing. - Attila Csaba Marosi; Márk Emodi; Ákos Hajnal; Róbert Lovas; Tamás Kiss; Valerie Poser; Jibinraj Antony; Simon Bergweiler; Hamed Hamzeh; James Deslauriers; József Kovács (Future Internet, 2022)

A Perceptron-based Fine Approximation Technique for Linear Separation. - Ákos Hajnal (CoRR, 2023)

Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications. - Jibinraj Antony; Dorotea Jalusic; Simon Bergweiler; Ákos Hajnal; Veronika Zlabravec; Márk Emodi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi (J. Grid Comput., 2024)