Analyzing emotions in twitter during a crisis: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea HJ Do, CG Lim, YJ Kim, HJ Choi 2016 international conference on big data and smart computing (BigComp), 415-418, 2016 | 60 | 2016 |
Pushing the limits of raw waveform speaker recognition J Jung, YJ Kim, HS Heo, BJ Lee, Y Kwon, JS Chung arXiv preprint arXiv:2203.08488, 2022 | 38 | 2022 |
Highrisk prediction from electronic medical records via deep attention networks YJ Kim, YG Lee, JW Kim, JJ Park, B Ryu, JW Ha arXiv preprint arXiv:1712.00010, 2017 | 23 | 2017 |
Look who's talking: Active speaker detection in the wild YJ Kim, HS Heo, S Choe, SW Chung, Y Kwon, BJ Lee, Y Kwon, JS Chung arXiv preprint arXiv:2108.07640, 2021 | 15 | 2021 |
Adapting speaker embeddings for speaker diarisation Y Kwon, J Jung, HS Heo, YJ Kim, BJ Lee, JS Chung arXiv preprint arXiv:2104.02879, 2021 | 13 | 2021 |
Constructing an initial knowledge base for medical domain expert system using induct RDR J Hyeon, KJ Oh, YJ Kim, H Chung, BH Kang, HJ Choi 2016 International Conference on Big Data and Smart Computing (BigComp), 408-410, 2016 | 13 | 2016 |
End-to-end lip synchronisation based on pattern classification YJ Kim, HS Heo, SW Chung, BJ Lee 2021 IEEE Spoken Language Technology Workshop (SLT), 598-605, 2021 | 10 | 2021 |
[Regular Paper] Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks S Park, YJ Kim, JW Kim, JJ Park, B Ryu, JW Ha 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering …, 2018 | 10 | 2018 |
Multi-scale speaker embedding-based graph attention networks for speaker diarisation Y Kwon, HS Heo, J Jung, YJ Kim, BJ Lee, JS Chung ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
Self-supervised curriculum learning for speaker verification HS Heo, J Jung, J Kang, Y Kwon, YJ Kim, BJL abd JS Chung arXiv preprint 2203, 2022 | 9 | 2022 |
Avoiding overfitting in deep neural networks for clinical opinions generation from general blood test results Y Kim, HG Kim, Z Li, HJ Choi MEDINFO 2017: Precision Healthcare through Informatics, 1274-1274, 2017 | 6 | 2017 |
Disentangled dimensionality reduction for noise-robust speaker diarization Y Kim, H Heo, J Jung, Y Kwon, B Lee, J Chung arXiv preprint ArXiv:2110.03380, 2021 | 3 | 2021 |
High-resolution embedding extractor for speaker diarisation HS Heo, Y Kwon, BJ Lee, YJ Kim, J Jung ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Method, system, and non-transitory computer readable record medium for speaker diarization combined with speaker identification Y Kwon, HY Kang, YJ Kim, H Kim, BJ Lee, J Junghoon, I Han, HS Heo, ... US Patent App. 17/576,492, 2022 | 2 | 2022 |
Raw waveform speaker verification for supervised and self-supervised learning J Jung, YJ Kim, HS Heo, BJ Lee, Y Kwon, JS Chung arXiv preprint arXiv:2203.08488, 2022 | 2 | 2022 |
Encoder-decoder multimodal speaker change detection J Jung, S Seo, HS Heo, G Kim, YJ Kim, Y Kwon, M Lee, BJ Lee arXiv preprint arXiv:2306.00680, 2023 | 1 | 2023 |
Model regularization of deep neural networks for robust clinical opinions generation from general blood test results Y Kim, HG Kim, HJ Choi 2017 18th IEEE International Conference on Mobile Data Management (MDM), 386-391, 2017 | 1 | 2017 |
Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization YJ Kim, HG Kim, J Hyeon, HJ Choi 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 1 | 2017 |
TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning C Jung, S Lee, K Nam, K Rho, YJ Kim, Y Jang, JS Chung arXiv preprint arXiv:2309.12306, 2023 | | 2023 |
Advancing the Dimensionality Reduction of Speaker Embeddings for Speaker Diarisation: Disentangling Noise and Informing Speech Activity YJ Kim, HS Heo, J Jung, Y Kwon, BJ Lee, JS Chung ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |