An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair
Page last modified: July 1, 2024
Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods
Page last modified: July 1, 2024
Using contextual knowledge in interactive fault localization
Page last modified: July 1, 2024
Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel
Page last modified: July 1, 2024
Lecture in Conference on Secret Services
June 3, 2024
Dr. Zoltán Alexin held a lecture titled “National security risks associated with the imprudent handling of health data” as part of the academic event New Themes and Trends in The Study of Secret Services in the 21st Century, held on the 24th of April.
Page last modified: June 3, 2024
Distinguished Reviewer Award
May 16, 2024
Dr. Gábor Antal (Department of Software Engineering) was granted a Distinguished Reviewer Award within the Junior program committee of the Mining Software Repositories conference (MSR) 2024.
Page last modified: May 16, 2024
Talk held at ICFEC 2024
May 14, 2024
Dr. András Márkus held a talk titled “Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT” at the 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024), held between May 6-9, in Philadelphia, USA.
Page last modified: May 14, 2024
Course launched for companies on the applications of Artificial Intelligence
May 13, 2024
A free four-session course series on Artificial Intelligence for entrepreneurs has been organized by the Department of Software Engineering and the Csongrád-Csanád Chamber of Commerce and Industry (CSKIK).
Page last modified: May 15, 2024
Systematic Literature Review published in IEEE Access
May 10, 2024
The paper titled “Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review”, authored by Wilson Valdez Solis, Dr. Attila Kertész (Department of Software Engineering, University of Szeged), and Juan Marcelo Parra-Ullauri (Smart Internet Lab, University of Bristol) was published in the Q1 journal IEEE Access.
Page last modified: May 10, 2024
Distinguished Paper Award
April 29, 2024
The paper titled “Context Switch Sensitive Fault Localization”, written by Dr. Ferenc Horváth, Roland Aszmann, Péter Attila Soha, Dr. Árpád Beszédes, and Dr. Tibor Gyimóthy has been selected for a Distinguished Paper Award by the program committee of the upcoming Core A conference, EASE 2024.
Page last modified: April 29, 2024