Lam Pham

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 50

Top Topics

Scene Classification

Top Venues

Publications

Lam Pham, Phat Lam, Truong Nguyen, Huyen Nguyen, Alexander Schindler
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models. CoRR (2024)
Margareta V. Stephanie, Lam Pham, Alexander Schindler, Michael Waltl, Tibor Grasser, Bernhard Schrenk
Neural Network with Optical Frequency-Coded ReLU. OFC (2024)
Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Alexander Schindler
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts. CoRR (2024)
Lam Pham, Phat Lam, Tin Nguyen, Hieu Tang, Alexander Schindler
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection). CoRR (2024)
Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. CoRR (2024)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. CoRR (2023)
Khoa Tran, Hai Canh Vu, Lam Pham, Nassim Boudaoud
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines. CoRR (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. CoRR (2023)
Khoa Tran, Lam Pham, Hai Canh Vu
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)
Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CBMI (2023)
Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin
A Light-weight Deep Learning Model for Remote Sensing Image Classification. CoRR (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. BioCAS (2023)
Lam Pham, Trang Le, Cam Le, Dat Ngo, Weissenfeld Axel, Alexander Schindler
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CoRR (2023)
Cam Le, Lam Pham, Nghia NVN, Truong Nguyen, Le Hong Trang
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification. ICIIT (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. MMSP (2023)
Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin
A Light-Weight Deep Learning Model for Remote Sensing Image Classification. ISPA (2023)
Lam Pham, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR (2023)
Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network. CoRR (2023)
Lam Pham, Dat Ngo, Tho Nguyen, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CBMI (2022)
Cam Le, Lam Pham, Nghia NVN, Truong Nguyen, Le Hong Trang
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification. CoRR (2022)
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
Audio-Based Deep Learning Frameworks for Detecting COVID-19. EUSIPCO (2022)
Dat Ngo, Lam Pham, Anh Nguyen, Tien Ly, Khoa Pham, Thanh Ngo
Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features. Int. J. Comput. 21 (2) (2022)
Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler
Low-complexity deep learning frameworks for acoustic scene classification. CoRR (2022)
Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. MMAsia (2022)
Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Canh Vu, Phu X. Nguyen
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. CoRR (2022)
Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. EMBC (2022)
Lam Pham, Dat Ngo, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. CoRR (2022)
Truong Van Hoang, Lam Pham, Dat Ngo, Hoang D. Nguyen
A Cough-based deep learning framework for detecting COVID-19. EMBC (2022)
Le Son Phan, Lam Pham, Truong Nguyen Ly Thien
An Annihilating Filter-Based DOA Estimation for Uniform Linear Array. ACOMPA (2022)
Lam Pham, Khoa Dinh, Dat Ngo, Hieu Tang, Alexander Schindler
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. CoRR (2022)
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
Audio-Based Deep Learning Frameworks for Detecting COVID-19. CoRR (2022)
Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR (2022)
Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley
An Audio-Based Deep Learning Framework For BBC Television Programme Classification. EUSIPCO (2021)
Son Phan, Lam Pham
An Annihilating Filter-Based DOA Estimation for Uniform Linear Array. CoRR (2021)
Lam Pham, Dat Ngo, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CoRR (2021)
Hoang Van Truong, Lam Pham
A Cough-based deep learning framework for detecting COVID-19. CoRR (2021)
Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen, Huy Phan, Lam Pham, Kenneth Ooi, Douglas L. Jones, Woon-Seng Gan
A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network. ICASSP (2021)
Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. ICSSE (2021)
Lam Pham, Huy Phan, Alexander Schindler, Ross King, Alfred Mertins, Ian McLoughlin
Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. EMBC (2021)
Lam Pham, Alexander Schindler, Mina Schütz, Jasmin Lampert, Sven Schlarb, Ross King
Deep Learning Frameworks Applied For Audio-Visual Scene Classification. CoRR (2021)
Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley
An Audio-Based Deep Learning Framework ForBBC Television Programme Classification. CoRR (2021)
Lam Pham, Hieu Tang, Anahid N. Jalali, Alexander Schindler, Ross King
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. CoRR (2021)
Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. CoRR (2021)
Lam Pham, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Lam Pham
Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification. CoRR (2021)
Huy Phan, Lam Pham, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
On Multitask Loss Function for Audio Event Detection and Localization. DCASE (2020)
Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. CoRR (2020)
Tuan Nguyen, Dat Ngo, Lam Pham, Linh Tran, Trang Hoang
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF (2020)
Lam Pham
Predicting Respiratory Anomalies and Diseases Using Deep Learning Models. CoRR (2020)
Dat Ngo, Hao Hoang, Anh Nguyen, Tien Ly, Lam Pham
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. CoRR (2020)