Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Vo, Tuan"'
As Artificial Intelligence (AI) models are gradually being adopted in real-life applications, the explainability of the model used is critical, especially in high-stakes areas such as medicine, finance, etc. Among the commonly used models, Linear Dis
Externí odkaz:
http://arxiv.org/abs/2407.00710
Missing data is a prevalent issue that can significantly impair model performance and interpretability. This paper briefly summarizes the development of the field of missing data with respect to Explainable Artificial Intelligence and experimentally
Externí odkaz:
http://arxiv.org/abs/2407.00411
Autor:
Craft, Clayton L., Barton, Nicholas J., Klug, Andrew C., Scalzi, Kenneth, Wildemann, Ian, Asagodu, Pramod, Broz, Joseph D., Porto, Nikola L., Macalik, Michael, Rizzo, Anthony, Percevault, Garrett, Tison, Christopher C., Smith, A. Matthew, Fanto, Michael L., Schneeloch, James, Sheridan, Erin, Heberle, Dylan, Brownell, Andrew, Sundaram, Vijay S. S., Deenadayalan, Venkatesh, van Niekerk, Matthew, Manfreda-Schulz, Evan, Howland, Gregory A., Preble, Stefan F., Coleman, Daniel, Leake, Gerald, Antohe, Alin, Vo, Tuan, Fahrenkopf, Nicholas M., Stievater, Todd H., Brickman-Soderberg, Kathy-Anne, Smith, Zachary S., Hucul, David
Reliable control of quantum information in matter-based qubits requires precisely applied external fields, and unaccounted for spatial cross-talk of these fields between adjacent qubits leads to loss of fidelity. We report a CMOS foundry-produced, mi
Externí odkaz:
http://arxiv.org/abs/2406.17607
Autor:
Jianu, Tudor, Huang, Baoru, Vo, Tuan, Vu, Minh Nhat, Kang, Jingxuan, Nguyen, Hoan, Omisore, Olatunji, Berthet-Rayne, Pierre, Fichera, Sebastiano, Nguyen, Anh
Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of closed-source simulators and physical phantoms. Additionally, the acquisiti
Externí odkaz:
http://arxiv.org/abs/2401.09059
Missing data is a common problem in practical settings. Various imputation methods have been developed to deal with missing data. However, even though the label is usually available in the training data, the common practice of imputation usually only
Externí odkaz:
http://arxiv.org/abs/2311.16877
Affordance detection presents intricate challenges and has a wide range of robotic applications. Previous works have faced limitations such as the complexities of 3D object shapes, the wide range of potential affordances on real-world objects, and th
Externí odkaz:
http://arxiv.org/abs/2309.10932
Autor:
Nguyen, Toan, Vu, Minh Nhat, Huang, Baoru, Van Vo, Tuan, Truong, Vy, Le, Ngan, Vo, Thieu, Le, Bac, Nguyen, Anh
Affordance detection and pose estimation are of great importance in many robotic applications. Their combination helps the robot gain an enhanced manipulation capability, in which the generated pose can facilitate the corresponding affordance task. P
Externí odkaz:
http://arxiv.org/abs/2309.10911
Autor:
Do, Tu T., Vu, Mai Anh, Vo, Tuan L., Ly, Hoang Thien, Nguyen, Thu, Hicks, Steven A., Riegler, Michael A., Halvorsen, Pål, Nguyen, Binh T.
Monotone missing data is a common problem in data analysis. However, imputation combined with dimensionality reduction can be computationally expensive, especially with the increasing size of datasets. To address this issue, we propose a Blockwise pr
Externí odkaz:
http://arxiv.org/abs/2305.06042
Autor:
Bhatia, Ekta, Kar, Soumen, Nalaskowski, Jakub, Vo, Tuan, Olson, Stephen, Frost, Hunter, Mucci, John, Martinick, Brian, Hung, Pui Yee, Wells, Ilyssa, Schujman, Sandra, Rao, Satyavolu S. Papa
Publikováno v:
Journal of Vacuum Science & Technology B 41, 033202 (2023)
We report on the development of a chemical mechanical planarization (CMP) process for thick damascene Ta structures with pattern feature sizes down to 100 nm. This CMP process is the core of the fabrication sequence for scalable superconducting integ
Externí odkaz:
http://arxiv.org/abs/2302.07732
Autor:
Võ, Tuấn Cường, Lê, Hương Giang, Kang, Jung-Mi, Nguyễn, Đặng Thùy Dương, Nguyễn, Thu Hằng, Yoo, Won Gi, Goo, Youn-Kyoung, Thi Minh Trinh, Nguyen, Van Khanh, Chau, Hong Quang, Huynh, Na, Byoung-Kuk
Publikováno v:
In Parasitology International June 2024 100