| The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. K Koutini, H Eghbal-zadeh, M Dorfer, G Widmer Proceedings of the European Signal Processing Conference (EUSIPCO), 2019 | 24 | 2019 |
| Acoustic Scene Classification and Audio Tagging with Receptive-Field-Regularized CNNs K Koutini, H Eghbal-zadeh, G Widmer Proceedings of the Detection and Classification of Acoustic Scenes and …, 2019 | 21 | 2019 |
| Classifying short acoustic scenes with I-vectors and CNNs: Challenges and optimisations for the 2017 DCASE ASC task B Lehner, H Eghbal-Zadeh, M Dorfer, F Korzeniowski, K Koutini, ... IEEE AASP Challenge on Detection and Classification of Acoustic Scen and …, 2017 | 20 | 2017 |
| Iterative knowledge distillation in r-cnns for weakly-labeled semi-supervised sound event detection K Koutini, H Eghbal-zadeh, G Widmer Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 …, 2018 | 14 | 2018 |
| Receptive-field-regularized CNN variants for acoustic scene classification K Koutini, H Eghbal-zadeh, G Widmer arXiv preprint arXiv:1909.02859, 2019 | 12 | 2019 |
| Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs K Koutini, S Chowdhury, V Haunschmid, H Eghbal-zadeh, G Widmer arXiv preprint arXiv:1911.05833, 2019 | 7 | 2019 |
| Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification P Primus, H Eghbal-zadeh, D Eitelsebner, K Koutini, A Arzt, G Widmer arXiv preprint arXiv:1909.02869, 2019 | 7 | 2019 |
| Acoustic scene classification with reject option based on resnets B Lehner, K Koutini, C Schwarzlmüller, T Gallien, G Widmer Proceedings of the Detection and Classification of Acoustic Scenes and …, 2019 | 6 | 2019 |
| Acoustic scene classification and audio tagging with receptive-fieldregularized CNNs H Eghbal-zadeh, K Koutini, G Widmer Tech. Rep., DCASE 2019 Challenge, 2019 | 5 | 2019 |
| CP-JKU Submissions to Dcase’20: Low-Complexity Cross-Device Acoustic Scene Classification with RF-Regularized CNNs K Koutini, F Henkel, H Eghbal-zadeh, G Widmer DCASE2020 Challenge, Tech. Rep, 2020 | 4 | 2020 |
| MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. K Koutini, A Imenina, M Dorfer, A Gruber, M Schedl MediaEval, 2017 | 4 | 2017 |
| On Data Augmentation and Adversarial Risk: An Empirical Analysis H Eghbal-zadeh, K Koutini, P Primus, V Haunschmid, M Lewandowski, ... arXiv preprint arXiv:2007.02650, 2020 | 1 | 2020 |
| Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data H Eghbal-zadeh, L Fischer, N Popitsch, F Kromp, S Taschner-Mandl, ... arXiv preprint arXiv:1806.08840, 2018 | 1 | 2018 |
| Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping K Koutini, F Henkel, H Eghbal-zadeh, G Widmer arXiv preprint arXiv:2011.02955, 2020 | | 2020 |
| Receptive-Field Regularized CNNs for Music Classification and Tagging K Koutini, H Eghbal-Zadeh, V Haunschmid, P Primus, S Chowdhury, ... arXiv preprint arXiv:2007.13503, 2020 | | 2020 |
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
