| Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data G Keren, B Schuller International Joint Conference on Neural Networks (IJCNN), 2016, 3412-3419, 2016 | 78 | 2016 |
| End-to-End Learning for Dimensional Emotion Recognition from Physiological Signals G Keren, T Kirschstein, E Marchi, F Ringeval, B Schuller IEEE International Conference on Multimedia and Expo (ICME), 985-990, 2017 | 30 | 2017 |
| Convolutional Neural Networks with Data Augmentation for Classifying Speakers' Native Language. G Keren, J Deng, J Pohjalainen, BW Schuller INTERSPEECH, 2393-2397, 2016 | 26 | 2016 |
| CAST a Database: Rapid Targeted Large-Scale Big Data Acquisition via Small-World Modelling of Social Media Platforms S Amiriparian, S Pugachevskiy, N Cummins, S Hantke, J Pohjalainen, ... Affective Computing and Intelligent Interaction, 2017 | 22 | 2017 |
| Calibrated Prediction Intervals for Neural Network Regressors G Keren, N Cummins, B Schuller IEEE Access 6, 54033 - 54041, 2018 | 21 | 2018 |
| Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement A Triantafyllopoulos, G Keren, J Wagner, I Steiner, B Schuller INTERSPEECH, 1691-1695, 2019 | 17 | 2019 |
| Weakly supervised one-shot detection with attention siamese networks G Keren, M Schmitt, T Kehrenberg, B Schuller | 14 | 2018 |
| Deep learning for multisensorial and multimodal interaction G Keren, AED Mousa, O Pietquin, S Zafeiriou, B Schuller The Handbook of Multimodal-Multisensor Interfaces: Signal Processing …, 2018 | 13 | 2018 |
| Fast Single-Class Classification and the Principle of Logit Separation G Keren, S Sabato, B Schuller International Conference on Data Mining (ICDM), 2018 | 12* | 2018 |
| Scaling Speech Enhancement in Unseen Environments with Noise Embeddings G Keren, J Han, B Schuller the Fifth CHiME Challenge Workshop, 2018 | 10 | 2018 |
| Tunable Sensitivity to Large Errors in Neural Network Training G Keren, S Sabato, BW Schuller AAAI, 2087-2093, 2017 | 10 | 2017 |
| Emotion recognition in speech with latent discriminative representations learning J Han, Z Zhang, G Keren, B Schuller Acta Acustica united with Acustica 104 (5), 737-740, 2018 | 8 | 2018 |
| Alignment restricted streaming recurrent neural network transducer J Mahadeokar, Y Shangguan, D Le, G Keren, H Su, T Le, CF Yeh, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 52-59, 2021 | 7 | 2021 |
| On Definable Skolem Functions in Weakly O-Minimal Nonvaluational Structures PE Eleftheriou, A Hasson, G Keren The Journal of Symbolic Logic 82 (4), 1482-1495, 2017 | 7 | 2017 |
| Contextual RNN-T for open domain ASR M Jain, G Keren, J Mahadeokar, G Zweig, F Metze, Y Saraf arXiv preprint arXiv:2006.03411, 2020 | 5 | 2020 |
| Definable Compactness in Weakly O-Minimal Structures G Keren Ben-Gurion University of the Negev, Faculty of Natural Sciences, Department …, 2014 | 5 | 2014 |
| Analysis of loss functions for fast single-class classification G Keren, S Sabato, B Schuller Knowledge and Information Systems 62 (1), 337-358, 2020 | 4 | 2020 |
| Deep Shallow Fusion for RNN-T Personalization D Le, G Keren, J Chan, J Mahadeokar, C Fuegen, ML Seltzer 2021 IEEE Spoken Language Technology Workshop (SLT), 251-257, 2021 | 3 | 2021 |
| Weakly supervised one-shot detection with attention similarity networks G Keren, M Schmitt, T Kehrenberg, B Schuller arXiv preprint arXiv:1801.03329, 2018 | 3 | 2018 |
| N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System S Liu, G Keren, B Schuller arXiv preprint arXiv:1911.07062, 2019 | 2 | 2019 |
