Lam Pham
Orcid: 0000-0001-8155-7553
According to our database1,
Lam Pham
authored at least 47 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection).
CoRR, 2024
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model.
CoRR, 2024
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts.
CoRR, 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models.
Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks.
Proceedings of the IGARSS 2024, 2024
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts.
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024
2023
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network.
CoRR, 2023
Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function.
CoRR, 2023
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines.
CoRR, 2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms.
CoRR, 2023
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms.
Proceedings of the 2023 4th International Symposium on the Internet of Sounds, 2023
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features.
Int. J. Comput., 2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context.
CoRR, 2022
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.
CoRR, 2022
CoRR, 2022
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
CoRR, 2022
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies.
CoRR, 2022
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022
Proceedings of the 2022 International Conference on Advanced Computing and Analytics (ACOMPA), 2022
2021
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.
IEEE J. Biomed. Health Informatics, 2021
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
CoRR, 2021
Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification.
CoRR, 2021
CoRR, 2021
CoRR, 2021
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network.
Proceedings of the International Conference on System Science and Engineering, 2021
A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
CoRR, 2020
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features.
CoRR, 2020
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020