| Unsupervised adversarial domain adaptation for acoustic scene classification S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen 2018 Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2018 | 57 | 2018 |
| Sound event detection with depthwise separable and dilated convolutions K Drossos, SI Mimilakis, S Gharib, Y Li, T Virtanen 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 49 | 2020 |
| Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling K Drossos, S Gharib, P Magron, T Virtanen 2019 Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, 2019 | 26 | 2019 |
| Acoustic scene classification: A competition review S Gharib, H Derrar, D Niizumi, T Senttula, J Tommola, T Heittola, ... 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 25 | 2018 |
| VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation S Gharib, K Drossos, E Fagerlund, T Virtanen arXiv preprint arXiv:1911.07098, 2019 | 8 | 2019 |
| Representation Learning for Audio Privacy Preservation Using Source Separation and Robust Adversarial Learning D Luong, M Tran, S Gharib, K Drossos, T Virtanen 2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023 | 4 | 2023 |
| Adversarial representation learning for robust privacy preservation in audio S Gharib, M Tran, D Luong, K Drossos, T Virtanen IEEE Open Journal of Signal Processing, 2024 | 1 | 2024 |
| Unsupervised Domain Adaptation for Audio Classification S Gharib | 1 | 2020 |
| Privacy-preserving sound representation T Virtanen, T Heittola, Z Shuyang, S Gharib, K Drosos US Patent App. 18/025,240, 2023 | | 2023 |
| Extending Interpolation Consistency Training for Unsupervised Domain Adaptation S Gharib, A Klami 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Tuomas VirtanenTampere UniversityVerified email at tuni.fi
