关注
Dat Ngo
标题
引用次数
引用次数
年份
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
502021
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
252021
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
162022
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
Wider or deeper neural network architecture for acoustic scene classification with mismatched recording devices
L Pham, K Tran, D Ngo, H Tang, S Phan, A Schindler
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 1-5, 2022
92022
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
72022
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
L Pham, D Ngo, D Salovic, A Jalali, A Schindler, PX Nguyen, K Tran, ...
Applied Acoustics 211, 109489, 2023
62023
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
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
32023
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
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
L Pham, T Le, C Le, D Ngo, A Weissenfeld, A Schindler
Proceedings of the 20th International Conference on Content-based Multimedia …, 2023
22023
A Light-weight Deep Learning Model for Remote Sensing Image Classification
L Pham, C Le, D Ngo, A Nguyen, J Lampert, A Schindler, I McLoughlin
2023 International Symposium on Image and Signal Processing and Analysis …, 2023
22023
Remote sensing image classification using transfer learning and attention-based deep neural network
L Pham, K Tran, D Ngo, J Lampert, A Schindler
Image and Signal Processing for Remote Sensing XXVIII 12267, 144-151, 2022
22022
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
22020
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model
T Nguyen, L Pham, P Lam, D Ngo, H Tang, A Schindler
arXiv preprint arXiv:2403.00379, 2024
12024
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms
L Pham, T Nguyen, P Lam, D Ngo, A Jalali, A Schindler
2023 4th International Symposium on the Internet of Sounds, 1-8, 2023
12023
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
CNN-BASED FRAMEWORK FOR DCASE 2020 TASK 1B CHALLENGE
D Ngo, L Pham, A Nguyen, H Hoang
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
系统目前无法执行此操作,请稍后再试。
文章 1–20