| Sep 11, 2024 | Recently presented our short-paper “CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data” in SETN 2024. Feel free to take a look at the preprint and code. |
| Mar 18, 2024 | Our paper “Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization”, got accepted and is now published at the IEEE Transactions on Artificial Intelligence journal. Feel free to check out the paper and code. |
| Dec 4, 2023 | We recently submitted our latest research paper named “On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals” for review. You can take a look at the preprint manuscript on ArXiv and the open-source codebase on GitHub. |
| Aug 29, 2023 | Check out our latest work named “Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization”, which is currently under review at the IEEE Transactions on Artificial Intelligence journal. You can find the ArXiv preprint here. |
| Jul 5, 2023 | If you want to learn more about Domain Generalization, myself and Christos Diou will be hosting a tutorial session at this year’s IEEE Big Data Service conference. |
| Jun 22, 2023 | Big news: Our paper, “Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks” by myself and my supervisor Christos Diou, has been accepted at IEEE TETCI! You can also check out the ArXiv preprint here. |
| May 23, 2023 | Our paper “CNN Feature Map Augmentation for Single-Source Domain Generalization” has been accepted at this year’s IEEE Big Data Service. You may find the preprint here. |
| Apr 2, 2023 | Our paper “CNNs with Multi-Level Attention for Domain Generalization” has been accepted at this year’s ICMR. Check out the ArXiv preprint. |
| Jan 15, 2023 | Below you may find a quick overview of our published papers so far. For more details, you can also check out my Publications page. |