| Improving gans for speech enhancement H Phan, IV McLoughlin, L Pham, OY Chén, P Koch, M De Vos, A Mertins IEEE Signal Processing Letters, vol. 27, pp. 1700-1704, 2020, 2020 | 136 | 2020 |
| CNN-MoE based framework for classification of respiratory anomalies and lung disease detection L Pham, H Phan, R Palaniappan, A Mertins, I McLoughlin IEEE Journal of Biomedical and Health Informatics, Volume: 25, Issue: 8, pp …, 2021 | 82 | 2021 |
| Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases L Pham, I McLoughlin, H Phan, M Tran, T Nguyen, R Palaniappan in Proc. EMBC, 2020, pp. 164-167, 2020 | 56 | 2020 |
| An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network A Nguyen, K Pham, D Ngo, T Ngo, L Pham in Proc. ICSSE, 2021, pp. 215-220., 2021 | 40 | 2021 |
| Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework L Pham, H Phan, T Nguyen, R Palaniappan, A Mertins, I McLoughlin Digital Signal Processing: A Review Journal, vol. 25, no. 8, pp. 2938-2947 …, 2021 | 39 | 2021 |
| A Robust Framework for Acoustic Scene Classification. LD Pham, IV McLoughlin, H Phan, R Palaniappan in Proc. INTERSPEECH, 2019, pp. 3634-3638, 2019 | 33 | 2019 |
| Spatio-temporal attention pooling for audio scene classification H Phan, OY Chén, L Pham, P Koch, M De Vos, I McLoughlin, A Mertins in Proc. INTERSPEECH, 2019, pp. 3845-3849, 2019 | 31 | 2019 |
| A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network TNT Nguyen, NK Nguyen, H Phan, L Pham, K Ooi, DL Jones, WS Gan in Proc. ICASSP, 2021, pp. 935-939, 2021 | 27 | 2021 |
| On multitask loss function for audio event detection and localization H Phan, L Pham, P Koch, NQK Duong, I McLoughlin, A Mertins in Proc. DCASE, 2020, pp. 160-164, 2020 | 24 | 2020 |
| Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds D Ngo, L Pham, A Nguyen, B Phan, K Tran, T Nguyen in Proc. ISEE, 2021, pp. 42-47, 2021 | 23 | 2021 |
| Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification L Pham, I McLoughlin, H Phan, R Palaniappan, A Mertins in Proc. IJCNN, 2020, pp. 1-7, 2020 | 23 | 2020 |
| Bag-of-Features Models Based on C-DNN Network for Acoustic Scene Classification L Pham, I McLoughlin, H Phan, R Palaniappan, Y Lang in Proc. AES, 2019, pp. 12, 2019 | 18 | 2019 |
| Multi-view Audio and Music Classification H Phan, HL Nguyen, OY Chén, L Pham, P Koch, I McLoughlin, A Mertins in Proc. ICASSP, 2021, pp. 611-615, 2021 | 17 | 2021 |
| Unifying isolated and overlapping audio event detection with multi-label multi-task convolutional recurrent neural networks H Phan, OY Chén, P Koch, L Pham, I McLoughlin, A Mertins, M De Vos in Proc. ICASSP, 2019, pp. 51-55, 2019 | 17 | 2019 |
| CDNN-CRNN Joined Model for Acoustic Scene Classification L Pham, T Doan, DT Ngo, H Nguyen, HH Kha Technical Repor Task 1A, DCASE 2019, 2019 | 16 | 2019 |
| Sound context classification basing on join learning model and multi-spectrogram features D Ngo, H Hoang, A Nguyen, T Ly, L Pham International Journal of Computing, Vol 21, Issue 2, pp 258-270, 2022, 2022 | 15* | 2022 |
| Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases L Pham, H Phan, R King, A Mertins, I McLoughlin in Proc. EMBC, 2021, pp. 253-256, 2021 | 15 | 2021 |
| A novel Li-ion battery charger using multi-mode LDO configuration based on 350 nm HV-CMOS HM Nguyen, LD Pham, T Hoang Journal of Analog Integrated Circuits and Signal Processing, Vol. 88, pp …, 2016 | 12 | 2016 |
| DCASE 2021 task 1A: Technique report L Pham, A Schindler, H Tang, T Hoang DCASE2021 Challenge, Tech. Rep., 2021 | 11 | 2021 |
| An ensemble of deep learning frameworks for predicting respiratory anomalies L Pham, D Ngo, K Tran, T Hoang, A Schindler, I McLoughlin 2022 44th annual international conference of the IEEE engineering in …, 2022 | 10 | 2022 |
Ian McLoughlinProfessor Singapore Institute of Technology (Singapore) and USTC (China)Dirección de correo verificada de singaporetech.edu.sg
