no code implementations • 21 Mar 2024 • Thu Nguyen, Alessandro Canossa, Jichen Zhu
Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
1 code implementation • 28 Nov 2023 • Thu Nguyen, Tuan L. Vo, Pål Halvorsen, Michael A. Riegler
However, even though the label is usually available in the training data, the common practice of imputation usually only relies on the input and ignores the label.
no code implementations • 10 May 2023 • Tu T. Do, Mai Anh Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven A. Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
To address this issue, we propose a Blockwise principal component analysis Imputation (BPI) framework for dimensionality reduction and imputation of monotone missing data.
no code implementations • 10 May 2023 • Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can pose a significant challenge in estimating correlation coefficients.
1 code implementation • 2 Feb 2023 • Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Nitesh V. Chawla, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
Missing data frequently occurs in datasets across various domains, such as medicine, sports, and finance.
1 code implementation • 6 Dec 2022 • Vajira Thambawita, Steven A. Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo L. Hammer, Pål Halvorsen, Michael A. Riegler
A manual assessment of sperm motility requires microscopy observation, which is challenging due to the fast-moving spermatozoa in the field of view.
1 code implementation • 11 Oct 2022 • Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
For many use cases, combining information from different datasets can be of interest to improve a machine learning model's performance, especially when the number of samples from at least one of the datasets is small.
no code implementations • 30 May 2022 • Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo L. Hammer
Missing data is a commonly occurring problem in practice.
1 code implementation • 26 May 2022 • Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen
Fisher Discriminant Analysis (FDA) is one of the essential tools for feature extraction and classification.
no code implementations • 3 Mar 2022 • Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh Binh Nguyen, Pål Halvorsen, Michael Riegler
The experiments show that our method can produce a small set of features in a fraction of the amount of time by the other methods under comparison.
1 code implementation • 18 Feb 2022 • Son N. T. Tu, Thu Nguyen
Deep learning approaches for partial differential equations (PDEs) have received much attention in recent years due to their mesh-freeness and computational efficiency.
no code implementations • 26 Aug 2021 • Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola
Smartwatches have rapidly evolved towards capabilities to accurately capture physiological signals.
1 code implementation • CVPR 2021 • Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, Minh Hoai
Language prior plays an important role in the way humans perceive and recognize text in the wild.
1 code implementation • 6 Jun 2021 • Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade
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.
no code implementations • 22 Apr 2021 • Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh
We provide a multi-faceted analysis of critical properties exhibited by these conversations on social media regarding the novel coronavirus pandemic.
1 code implementation • CVPR 2021 • Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai
We also present a novel adaptation strategy to adapt our network to any novel visual category at test time, using only a few exemplar objects from the novel category.
Ranked #15 on Object Counting on FSC147
no code implementations • Findings of the Association for Computational Linguistics 2020 • Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen
Personality image captioning (PIC) aims to describe an image with a natural language caption given a personality trait.
1 code implementation • 23 Sep 2020 • Thu Nguyen, Duy H. M. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
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.
no code implementations • 17 Oct 2019 • Thu Nguyen
In this era of big data, feature selection techniques, which have long been proven to simplify the model, makes the model more comprehensible, speed up the process of learning, have become more and more important.
no code implementations • 5 Feb 2018 • Duy H. M. Nguyen, Duy M. Nguyen, Mai T. N. Truong, Thu Nguyen, Khanh T. Tran, Nguyen A. Triet, Pham T. Bao, Binh T. Nguyen
Brain extraction (skull stripping) is a challenging problem in neuroimaging.