29 citations · 43 across the 17 of their papers we have counts for
19 papers
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran +2
Transfer learning plays an essential role in Deep Learning, which can remarkably improve the performance of the target domain, whose training data is not sufficient. Our work explo…
TaDeR: A New Task Dependency Recommendation for Project Management Platform
Quynh Nguyen, Dac H. Nguyen, Son T. Huynh +2
Many startups and companies worldwide have been using project management software and tools to monitor, track and manage their projects. For software projects, the number of tasks…
FPSRS: A Fusion Approach for Paper Submission Recommendation System
Son T. Huynh, Nhi Dang, Dac H. Nguyen +2
Recommender systems have been increasingly popular in entertainment and consumption and are evident in academics, especially for applications that suggest submitting scientific art…
SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System
Duc H. Le, Tram T. Doan, Son T. Huynh +1
The recommendation system plays a vital role in many areas, especially academic fields, to support researchers in submitting and increasing the acceptance of their work through the…
Posterior concentration and fast convergence rates for generalized Bayesian learning
Lam Si Tung Ho, Binh T. Nguyen, Vu Dinh +1
In this paper, we study the learning rate of generalized Bayes estimators in a general setting where the hypothesis class can be uncountable and have an irregular shape, the loss f…
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…
Leaf Recognition Using Convolutional Neural Networks Based Features
Boi M. Quach, Dinh V. Cuong, Nhung Pham +2
There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial im…
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
Hieu T. Ung, Huy Q. Ung, Binh T. Nguyen
Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Des…
DPER: Efficient Parameter Estimation for Randomly Missing Data
Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen +2
The missing data problem has been broadly studied in the last few decades and has various applications in different areas such as statistics or bioinformatics. Even though many met…
A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
Conventional approaches to image-text retrieval mainly focus on indexing visual objects appearing in pictures but ignore the interactions between these objects. Such objects occurr…
OASIS: An Active Framework for Set Inversion
Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho +1
In this work, we introduce a novel method for solving the set inversion problem by formulating it as a binary classification problem. Aiming to develop a fast algorithm that can wo…
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu +4
Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task. However, we argue that such approache…
VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations
Ha Q. Nguyen, Khanh Lam, Linh T. Le +21
Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learn…
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data
Thu Nguyen, Duy H. M. Nguyen, Huy Nguyen +2
The problem of monotone missing data has been broadly studied during the last two decades and has many applications in different fields such as bioinformatics or statistics. Common…
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu +3
Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths and infected more than 27 million individuals in over 120 countries. Besides principal polymerase chain reacti…
Bayesian Active Learning With Abstention Feedbacks
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu +2
We study pool-based active learning with abstention feedbacks where a labeler can abstain from labeling a queried example with some unknown abstention rate. This is an important pr…
Bayesian Pool-based Active Learning With Abstention Feedbacks
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu +2
We study pool-based active learning with abstention feedbacks, where a labeler can abstain from labeling a queried example with some unknown abstention rate. This is an important p…
Fast learning rates with heavy-tailed losses
Vu Dinh, Lam Si Tung Ho, Duy Nguyen +1
We study fast learning rates when the losses are not necessarily bounded and may have a distribution with heavy tails. To enable such analyses, we introduce two new conditions: (i)…
Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers
Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong +2
We prove new fast learning rates for the one-vs-all multiclass plug-in classifiers trained either from exponentially strongly mixing data or from data generated by a converging dri…