| Cross-project vulnerability prediction based on software metrics and deep learning I Kalouptsoglou, M Siavvas, D Tsoukalas, D Kehagias Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 11 | 2020 |
| Examining the capacity of text mining and software metrics in vulnerability prediction I Kalouptsoglou, M Siavvas, D Kehagias, A Chatzigeorgiou, ... Entropy 24 (5), 651, 2022 | 7 | 2022 |
| An empirical evaluation of the usefulness of word embedding techniques in deep learning-based vulnerability prediction I Kalouptsoglou, M Siavvas, D Kehagias, A Chatzigeorgiou, ... Security in Computer and Information Sciences, EuroCybersec, 23-37, 2021 | 5 | 2021 |
| The IoTAC software security-by-design platform: Concept, challenges, and preliminary overview M Siavvas, E Gelenbe, D Tsoukalas, I Kalouptsoglou, M Mathioudaki, ... 2022 18th International Conference on the Design of Reliable Communication …, 2022 | 2 | 2022 |
| A self-adaptive approach for assessing the criticality of security-related static analysis alerts M Siavvas, I Kalouptsoglou, D Tsoukalas, D Kehagias Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 1 | 2021 |
| Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models I Kalouptsoglou, D Tsoukalas, M Siavvas, D Kehagias, A Chatzigeorgiou, ... Electronics 11 (18), 2820, 2022 | | 2022 |
