| CP-JKU Submissions for DCASE-2016: a Hybrid Approach Using Binaural I-Vectors and Deep Convolutional Neural Networks for Acoustic Scene Classification H Eghbal-zadeh, B Lehner, M Dorfer, G Widmer IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016 | 205 | 2016 |
| Efficient training of audio transformers with patchout K Koutini, J Schlüter, H Eghbal-Zadeh, G Widmer arXiv preprint arXiv:2110.05069, 2021 | 194 | 2021 |
| Large-scale weakly labeled semi-supervised sound event detection in domestic environments R Serizel, N Turpault, H Eghbal-Zadeh, AP Shah Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2018 | 166 | 2018 |
| The receptive field as a regularizer in deep convolutional neural networks for acoustic scene classification K Koutini, H Eghbal-Zadeh, M Dorfer, G Widmer 2019 27th European signal processing conference (EUSIPCO), 1-5, 2019 | 117 | 2019 |
| Movie genome: alleviating new item cold start in movie recommendation Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-Zadeh, S Cereda, ... User Modeling and User-Adapted Interaction 29, 291-343, 2019 | 105 | 2019 |
| Feature-combination hybrid recommender systems for automated music playlist continuation A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer User Modeling and User-Adapted Interaction 29, 527-572, 2019 | 68 | 2019 |
| Acoustic scene classification with fully convolutional neural networks and I-vectors M Dorfer, B Lehner, H Eghbal-zadeh, H Christop, P Fabian, W Gerhard Proceedings of the detection and classification of acoustic scenes and events, 2018 | 68 | 2018 |
| 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 | 63 | 2019 |
| Audio-visual encoding of multimedia content for enhancing movie recommendations Y Deldjoo, MG Constantin, H Eghbal-Zadeh, B Ionescu, M Schedl, ... Proceedings of the 12th ACM Conference on Recommender Systems, 455-459, 2018 | 58 | 2018 |
| I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION H Eghbal-zadeh, B Lehner, M Schedl, G Widmer International Society of Music Information Retrieval Conference (ISMIR), 2015 | 56 | 2015 |
| Receptive field regularization techniques for audio classification and tagging with deep convolutional neural networks K Koutini, H Eghbal-zadeh, G Widmer IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1987-2000, 2021 | 50 | 2021 |
| Receptive-field-regularized CNN variants for acoustic scene classification K Koutini, H Eghbal-Zadeh, G Widmer arXiv preprint arXiv:1909.02859, 2019 | 47 | 2019 |
| Mixture Density Generative Adversarial Networks H Eghbal-zadeh, W Zellinger, G Widmer IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 47 | 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 Tech. Rep., DCASE2020 Challenge, 2020 | 43 | 2020 |
| On the interrelation between listener characteristics and the perception of emotions in classical orchestra music M Schedl, E Gómez, ES Trent, M Tkalčič, H Eghbal-Zadeh, A Martorell IEEE Transactions on Affective Computing 9 (4), 507-525, 2017 | 41 | 2017 |
| A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification H Eghbal-zadeh, B Lehner, M Dorfer, G Widmer 2017 25th European Signal Processing Conference (EUSIPCO), 2749-2753, 2017 | 35 | 2017 |
| History Compression via Language Models in Reinforcement Learning F Paischer, T Adler, V Patil, A Bitto-Nemling, M Holzleitner, S Lehner, ... Proceedings of the 39th International Conference on Machine Learning …, 2022 | 33 | 2022 |
| 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, ... DCASE2017 Challenge, 2017 | 31 | 2017 |
| Timbral modeling for music artist recognition using i-vectors H Eghbal-zadeh, M Schedl, G Widmer European Signal Processing Conference (EUSIPCO), 2015 | 29 | 2015 |
| Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs A Vall, H Eghbal-Zadeh, M Dorfer, M Schedl, G Widmer Proceedings of the 2nd workshop on deep learning for recommender systems, 46-54, 2017 | 28 | 2017 |
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University Linz在 jku.at 的电子邮件经过验证
