E-LIB Suche - Ergebnisse für: Ho, Thi Kieu Khanh

1

Self-supervised anomaly detection in computer vision and be..:

Hojjati, Hadi ; Ho, Thi Kieu Khanh ; Armanfard, Narges
Neural Networks. 172 (2024) - p. 106106 , 2024

Link: https://doi.org/10.1016/..

2

Deep Learning-Based Multilevel Classification of Alzheimer'..:

Ho, Thi Kieu Khanh ; Kim, Minhee ; Jeon, Younghun...
Frontiers in Aging Neuroscience. 14 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

3

Feature-level ensemble approach for COVID-19 detection usin..:

Ho, Thi Kieu Khanh ; Gwak, Jeonghwan ; Raja, Gulistan
PLOS ONE. 17 (2022) 7 - p. e0268430 , 2022

Link: https://doi.org/10.1371/..

4

Machine learning–based detection model of early Alzheimer's..:

Jeon, YoungHoon ; Ho, Thi Kieu Khanh ; Kang, Jaeyong...
Alzheimer's & Dementia. 17 (2021) S5 - p. , 2021

Link: https://doi.org/10.1002/..

5

DeepADNet: A CNN‐LSTM model for the multi‐class classificat..:

Ho, Thi Kieu Khanh ; Jeon, YoungHoon ; Na, Eunchan...
Alzheimer's & Dementia. 17 (2021) S7 - p. , 2021

Link: https://doi.org/10.1002/..

6

Multi-Class Classification of Alzheimer's Disease Using Fro..:

, In: IFMBE Proceedings; 8th International Conference on the Development of Biomedical Engineering in Vietnam,

Ho, Thi Kieu Khanh ; Kim, Minhee ; Garg, Harish... - p. 955-965 , 2021

Link: https://doi.org/10.1007/..

7

Improving the multi‐class classification of Alzheimer's dis..:

Ho, Thi Kieu Khanh ; Kim, Minhee ; Jeon, YoungHoon...
Alzheimer's & Dementia. 17 (2021) S7 - p. , 2021

Link: https://doi.org/10.1002/..

8

Utilizing Knowledge Distillation in Deep Learning for Class..:

Ho, Thi Kieu Khanh ; Gwak, Jeonghwan
IEEE Access. 8 (2020) - p. 160749-160761 , 2020

Link: https://doi.org/10.1109/..

9

Utilizing Pretrained Deep Learning Models for Automated Pul..:

, In: Intelligent Information and Database Systems; Lecture Notes in Computer Science,

Ho, Thi Kieu Khanh ; Gwak, Jeonghwan ; Prakash, Om.. - p. 395-403 , 2019

Link: https://doi.org/10.1007/..

10

Toward Deep Learning Approaches for Learning Structure Moti..:

Ho, Thi Kieu Khanh ; Gwak, Jeonghwan
IEEE Access. 7 (2019) - p. 127464-127474 , 2019

Link: https://doi.org/10.1109/..

11

Deep Leaning-Based Approach for Mental Workload Discriminat..:

, In: Lecture Notes in Electrical Engineering; Recent Trends in Communication, Computing, and Electronics,

Ho, Thi Kieu Khanh ; Gwak, Jeonghwan ; Park, Chang Min.. - p. 431-440 , 2018

Link: https://doi.org/10.1007/..

12

P2‐227: AD STAGE CLASSIFICATION USING INTEGRATED EEG‐FNIRS ..:

Gwak, Jeonghwan ; Khanh Ho, Thi Kieu ; Park, Cheolbin...
Alzheimer's & Dementia. 15 (2019) 7S_Part_13 - p. , 2019

Link: https://doi.org/10.1016/..

13

Multivariate Time-Series Anomaly Detection with Contaminate..:

Ho, Thi Kieu Khanh ; Armanfard, Narges
http://arxiv.org/abs/2308.12563. , 2023

Link: http://arxiv.org/abs/230..

14

Open-Set Multivariate Time-Series Anomaly Detection:

Lai, Thomas ; Ho, Thi Kieu Khanh ; Armanfard, Narges
http://arxiv.org/abs/2310.12294. , 2023

Link: http://arxiv.org/abs/231..

15

Graph-based Time-Series Anomaly Detection: A Survey:

Ho, Thi Kieu Khanh ; Karami, Ali ; Armanfard, Narges
http://arxiv.org/abs/2302.00058. , 2023

Link: http://arxiv.org/abs/230..