| Advancements in early airway disease detection using vowel phonation with smartphone D Ngo, Y Raykov, M Shaban, D Jarchi, A Gratiot, C Sheppard ERJ Open Research 10 (Volume 10, Suppl. 14), 266, 2024 | | 2024 |
| A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies D Ngo, L Pham, H Phan, M Tran, D Jarchi in Proc. BioCAS, 2023 (The top-1 performance in IEEE BioCAS 2023 Grand …, 2023 | 3 | 2023 |
| An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies D Ngo, L Pham, H Phan, M Tran, D Jarchi, S Kolozali in Proc. MMSP 2023, 2023 | 1 | 2023 |
| An audio-visual dataset and deep learning frameworks for crowded scene classification L Pham, D Ngo, T Nguyen, P Nguyen, T Hoang, A Schindler Proceedings of the 19th International Conference on Content-based Multimedia …, 2022 | 7 | 2022 |
| Sound context classification basing on join learning model and multi-spectrogram features D Ngo, L Pham, A Nguyen, T Ly, K Pham, T Ngo International Journal of Computing 21 (2), 258-270, 2022 | 16 | 2022 |
| Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Alexander Schindler arXiv preprint arXiv:2203.12314 in Proc. EMBC 2022, 2022 | | 2022 |
| Audio-Based Deep Learning Frameworks for Detecting COVID-19 Dat Ngo, Lam Pham, Truong Hoang, Sefki Kolozali, Delaram Jarchi arXiv:2202.05626 in Proc. EUSIPCO, 2022, 2022 | 3* | 2022 |
| An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies L Pham, D Ngo, T Hoang, A Schindler, I McLoughlin arXiv preprint arXiv:2201.03054 EMBC 2022, 2022 | 5 | 2022 |
| An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network A Nguyen, K Pham, D Ngo, T Ngo, L Pham 2021 International Conference on System Science and Engineering (ICSSE), 215-220, 2021 | 47 | 2021 |
| Deep Learning Framework Applied For Predicting Anomaly of Respiratory Sounds D Ngo, L Pham, A Nguyen, B Phan, K Tran, T Nguyen 2021 International Symposium on Electrical and Electronics Engineering (ISEE …, 2021 | 24 | 2021 |
| A Deep Neural Network with Triplet Loss for Detecting Anomaly of Respiratory Sounds L Pham, D Ngo, A Schindler, R King | | 2021 |
| A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification T Nguyen, D Ngo, L Pham, L Tran, T Hoang 2020 RIVF International Conference on Computing and Communication …, 2020 | 2 | 2020 |
| DCASE 2020 CHALLENGE TASK 1B: LOW-COMPLEXITY CNN-BASED FRAMEWORK FOR ACOUSTIC SCENE CLASSIFICATION L Pham, D Ngo, H Phan, NQK Duong | | 2020 |
| CNN-BASED FRAMEWORK FOR DCASE 2020 TASK 1B CHALLENGE D Ngo, L Pham, A Nguyen, H Hoang | | 2020 |
| Acoustic Scene Classification Using A Deeper Training Method for Convolution Neural Network T Doan, H Nguyen, DT Ngo, L Pham, HH Kha 2019 International Symposium on Electrical and Electronics Engineering (ISEE …, 2019 | 1 | 2019 |
| CDNN-CRNN joined model for acoustic scene classification L Pham, T Doan, DT Ngo, H Nguyen, HH Kha Detection and Classification of Acoustic Scenes and Events 2019 (DCASE2019 …, 2019 | 16 | 2019 |
| A High Performance Dynamic ASIC-Based Audio Signal Feature Extraction (MFCC) TC Nguyen, LD Pham, HM Nguyen, BG Bui, DT Ngo, T Hoang 2016 International Conference on Advanced Computing and Applications (ACOMP …, 2016 | 4 | 2016 |
Lam PhamData Scientist in Austrian Institute of Technology在 ait.ac.at 的电子邮件经过验证
