On Multitask Loss Function for Audio Event Detection and Localization. - Huy Phan; Lam Pham; Philipp Koch; Ngoc Q. K. Duong; Ian McLoughlin 001; Alfred Mertins (DCASE, 2020)

A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. - Tuan Nguyen; Dat Ngo; Lam Pham; Linh Tran; Trang Hoang (RIVF, 2020)

Predicting Respiratory Anomalies and Diseases Using Deep Learning Models. - Lam Pham (CoRR, 2020)

Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. - Dat Ngo; Hao Hoang; Anh Nguyen; Tien Ly; Lam Pham (CoRR, 2020)

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. - Dat Ngo; Lam Pham; Anh Nguyen; Ben Phan; Khoa Tran; Truong Nguyen (CoRR, 2020)

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. - Lam Pham; Huy Phan; Alexander Schindler; Ross King; Alfred Mertins; Ian McLoughlin 001 (EMBC, 2021)

An Audio-Based Deep Learning Framework For BBC Television Programme Classification. - Lam Pham; Chris Baume; Qiuqiang Kong; Tassadaq Hussain; Wenwu Wang 001; Mark D. Plumbley (EUSIPCO, 2021)

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network. - Thi Ngoc Tho Nguyen; Ngoc Khanh Nguyen 003; Huy Phan; Lam Pham; Kenneth Ooi; Douglas L. Jones; Woon-Seng Gan (ICASSP, 2021)

An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. - Anh Nguyen; Khoa Pham; Dat Ngo; Thanh Ngo; Lam Pham (ICSSE, 2021)

An Audio-Based Deep Learning Framework ForBBC Television Programme Classification. - Lam Pham; Chris Baume; Qiuqiang Kong; Tassadaq Hussain; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2021)

A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. - Lam Pham; Hieu Tang; Anahid N. Jalali; Alexander Schindler; Ross King (CoRR, 2021)

Deep Learning Frameworks Applied For Audio-Visual Scene Classification. - Lam Pham; Alexander Schindler; Mina Schütz; Jasmin Lampert; Sven Schlarb; Ross King (CoRR, 2021)

Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification. - Lam Pham (CoRR, 2021)

A Cough-based deep learning framework for detecting COVID-19. - Hoang Van Truong; Lam Pham (CoRR, 2021)

An Annihilating Filter-Based DOA Estimation for Uniform Linear Array. - Son Phan; Lam Pham (CoRR, 2021)

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. - Lam Pham; Dat Ngo; Phu X. Nguyen; Truong Van Hoang; Alexander Schindler (CoRR, 2021)

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. - Lam Pham; Huy Phan; Ramaswamy Palaniappan; Alfred Mertins; Ian McLoughlin 001 (IEEE J. Biomed. Health Informatics, 2021)

An Annihilating Filter-Based DOA Estimation for Uniform Linear Array. - Le Son Phan; Lam Pham; Truong Nguyen Ly Thien (ACOMPA, 2022)

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. - Lam Pham; Dat Ngo; Tho Nguyen; Phu X. Nguyen; Truong Van Hoang; Alexander Schindler (CBMI, 2022)

A Cough-based deep learning framework for detecting COVID-19. - Truong Van Hoang; Lam Pham; Dat Ngo; Hoang D. Nguyen (EMBC, 2022)

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. - Lam Pham; Dat Ngo; Khoa Tran; Truong Van Hoang; Alexander Schindler; Ian McLoughlin 001 (EMBC, 2022)

Audio-Based Deep Learning Frameworks for Detecting COVID-19. - Dat Ngo; Lam Pham; Truong Van Hoang; Sefki Kolozali; Delaram Jarchi (EUSIPCO, 2022)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. - Lam Pham; Khoa Tran; Dat Ngo; Hieu Tang; Son Phan; Alexander Schindler (MMAsia, 2022)

An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. - Lam Pham; Dat Ngo; Truong Van Hoang; Alexander Schindler; Ian McLoughlin 001 (CoRR, 2022)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. - Lam Pham; Khoa Dinh; Dat Ngo; Hieu Tang; Alexander Schindler (CoRR, 2022)

Low-complexity deep learning frameworks for acoustic scene classification. - Lam Pham; Dat Ngo; Anahid N. Jalali; Alexander Schindler (CoRR, 2022)

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. - Lam Pham; Khoa Tran; Dat Ngo; Jasmin Lampert; Alexander Schindler (CoRR, 2022)

Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. - Lam Pham; Dusan Salovic; Anahid N. Jalali; Alexander Schindler; Khoa Tran; Hai Canh Vu; Phu X. Nguyen (CoRR, 2022)

Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features. - Dat Ngo; Lam Pham; Anh Nguyen; Tien Ly; Khoa Pham; Thanh Ngo (Int. J. Comput., 2022)

A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi (BioCAS, 2023)

Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. - Lam Pham; Trang Le; Cam Le; Dat Ngo; Axel Weissenfeld; Alexander Schindler (CBMI, 2023)

A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification. - Cam Le; Lam Pham; Nghia NVN; Truong Nguyen; Le Hong Trang (ICIIT, 2023)

A Light-Weight Deep Learning Model for Remote Sensing Image Classification. - Lam Pham; Cam Le; Dat Ngo; Anh Nguyen; Jasmin Lampert; Alexander Schindler; Ian McLoughlin 001 (ISPA, 2023)

Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. - Lam Pham; Tin Nguyen 007; Phat Lam; Dat Ngo; Anahid N. Jalali; Alexander Schindler (IS2, 2023)

An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi; Sefki Kolozali (MMSP, 2023)

Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. - Lam Pham; Dat Ngo; Cam Le; Anahid N. Jalali; Alexander Schindler (CoRR, 2023)

Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines. - Khoa Tran; Hai Canh Vu; Lam Pham; Nassim Boudaoud (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. - Khoa Tran; Lam Pham; Hai Canh Vu (CoRR, 2023)

Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network. - Cam Le; Lam Pham; Jasmin Lampert; Matthias Schlögl; Alexander Schindler (CoRR, 2023)

Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach: Use Case of Riot or Violent Context Detection. - Lam Pham; Tin Nguyen 007; Phat Lam; Hieu Tang; Alexander Schindler (CBMI, 2024)

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts. - Phat Lam; Lam Pham; Tin Nguyen 007; Hieu Tang; Michael Seidl; Medina Andresel; Alexander Schindler (FedCSIS, 2024)

Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks. - Cam Le; Lam Pham; Jasmin Lampert; Matthias Schlögl; Alexander Schindler (IGARSS, 2024)

Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models. - Lam Pham; Phat Lam; Truong Nguyen; Huyen Nguyen; Alexander Schindler (IS2, 2024)

Neural Network with Optical Frequency-Coded ReLU. - Margareta V. Stephanie; Lam Pham; Alexander Schindler; Michael Waltl; Tibor Grasser; Bernhard Schrenk (OFC, 2024)

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts. - Phat Lam; Lam Pham; Tin Nguyen 007; Hieu Tang; Michael Seidl; Alexander Schindler (CoRR, 2024)

The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. - Tin Nguyen 007; Lam Pham; Phat Lam; Dat Ngo; Hieu Tang; Alexander Schindler (CoRR, 2024)

A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection. - Lam Pham; Phat Lam; Tin Nguyen 007; Hieu Tang; Huyen Nguyen; Alexander Schindler; Canh Vu (CoRR, 2024)

A comprehensive survey with critical analysis for deepfake speech detection. - Lam Pham; Phat Lam; Dat Tran; Hieu Tang; Tin Nguyen 007; Alexander Schindler; Florian Skopik; Alexander Polonsky; Hai Canh Vu (Comput. Sci. Rev., 2025)

DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection. - Lam Pham; Dat Tran; Florian Skopik; Alexander Schindler; Silvia Poletti; David Fischinger; Martin Boyer (CoRR, 2025)

HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction. - Khoa Tran; Bao Huynh; Tri Le; Lam Pham; Vy-Rin Nguyen (CoRR, 2025)

A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function. - Khoa Tran; Lam Pham; Vy-Rin Nguyen; Ho-Si-Hung Nguyen (Signal Image Video Process., 2025)

RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images. - Lam Pham; Cam Le; Hieu Tang; Khang Truong; Truong Nguyen; Jasmin Lampert; Alexander Schindler; Martin Boyer; Son Phan (CoRR, 2025)

SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioning. - Khang Truong; Lam Pham; Hieu Tang; Jasmin Lampert; Martin Boyer; Son Phan; Truong Nguyen (CoRR, 2025)

A Deep-Learning Framework for Land-Sliding Classification from Remote Sensing Image. - Hieu Tang; Truong Vo; Dong Pham; Toan Nguyen; Lam Pham; Truong Nguyen (CoRR, 2025)