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Dat Ngo
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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
432021
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
232021
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
162019
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
152022
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
62022
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
52022
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
42016
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
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
22023
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
12023
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
12020
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
12019
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
A Deep Neural Network with Triplet Loss for Detecting Anomaly of Respiratory Sounds
L Pham, D Ngo, A Schindler, R King
2021
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
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Articles 1–16