29 citations · 44 across the 18 of their papers we have counts for
5 papers · 1 filter
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies
Dat Ngo, Lam Pham, Huy Phan +2
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Our system initially performs audio feature extraction using Continuou…
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
Lam Pham, Dat Ngo, Cam Le +2
In this technical report, a low-complexity deep learning system for acoustic scene classification (ASC) is presented. The proposed system comprises two main phases: (Phase I) Train…
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
Lam Pham, Trang Le, Cam Le +3
In this paper, we present a deep learning based multimodal system for classifying daily life videos. To train the system, we propose a two-phase training strategy. In the first tra…
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Dat Ngo, Lam Pham, Huy Phan +3
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gamma…
A Light-weight Deep Learning Model for Remote Sensing Image Classification
Lam Pham, Cam Le, Dat Ngo +4
In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remo…