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Ting, Chee-Ming
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1

Graph Autoencoders for Embedding Learning in Brain Networks..:

Noman, Fuad ; Ting, Chee-Ming ; Kang, Hakmook..
IEEE Journal of Biomedical and Health Informatics.  28 (2024)  3 - p. 1644-1655 , 2024
Link: https://doi.org/10.1109/..
 
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2

ASF-YOLO: A novel YOLO model with attentional scale sequenc..:

Kang, Ming ; Ting, Chee-Ming ; Ting, Fung Fung.
Image and Vision Computing.  147 (2024)  - p. 105057 , 2024
Link: https://doi.org/10.1016/..
 
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3

ELEGANT: End-to-end Language Grounded Speech Denoiser for E..:

, In: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),
Chai, Ai-Fang ; Rajanala, Sailaja ; Pal, Arghya.. - p. 833-838 , 2023
Link: https://doi.org/10.1109/..
 
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4

A Unified Framework for Static and Dynamic Functional Conne..:

, In: 2023 IEEE International Conference on Image Processing (ICIP),
Tan, Yee-Fan ; Ting, Chee-Ming ; Noman, Fuad.. - p. 635-639 , 2023
Link: https://doi.org/10.1109/..
 
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5

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brai..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,
Kang, Ming ; Ting, Chee-Ming ; Ting, Fung Fung. - p. 600-610 , 2023
Link: https://doi.org/10.1007/..
 
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6

Graph Autoencoder-Based Embedded Learning in Dynamic Brain ..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Noman, Fuad ; Yap, Sin-Yee ; Phan, Raphael C.-W... - p. 2891-2895 , 2022
Link: https://doi.org/10.1109/..
 
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7

Classification of ECG Ventricular Beats Assisted by Gaussia..:

, In: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering; Lecture Notes in Networks and Systems,
Salleh, Sh Hussain ; Noman, Fuad ; Hussain, Hadri... - p. 533-548 , 2022
Link: https://doi.org/10.1007/..
 
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8

GraphEx: Facial Action Unit Graph for Micro-Expression Clas..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Leong, Shu-Min ; Noman, Fuad ; Phan, Raphael C.-W... - p. 3296-3300 , 2022
Link: https://doi.org/10.1109/..
 
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9

A Brief Review of Computation Techniques for ECG Signal Ana..:

, In: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering; Lecture Notes in Networks and Systems,
Hussain, Salleh Sh ; Noman, Fuad ; Hussain, Hadri... - p. 223-234 , 2022
Link: https://doi.org/10.1007/..
 
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10

Markov-switching state-space models with applications to ne..:

Degras, David ; Ting, Chee-Ming ; Ombao, Hernando
Computational Statistics & Data Analysis.  174 (2022)  - p. 107525 , 2022
Link: https://doi.org/10.1016/..
 
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11

Separating Stimulus-Induced and Background Components of Dy..:

Ting, Chee-Ming ; Skipper, Jeremy I. ; Noman, Fuad..
IEEE Transactions on Medical Imaging.  41 (2022)  6 - p. 1431-1442 , 2022
Link: https://doi.org/10.1109/..
 
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12

Rhythmic Pattern of EEG for Identifying Schizophrenia:

, In: Studies in Rhythm Engineering; Rhythms in Healthcare,
Hussain, Sh Hussain ; Noman, Fuad M. ; Hussain, Hadri... - p. 47-62 , 2022
Link: https://doi.org/10.1007/..
 
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13

Identifying Individuals Using EEG-Based Brain Connectivity ..:

, In: Brain Informatics; Lecture Notes in Computer Science,
Hussain, Hadri ; Ting, Chee-Ming ; Jalil, M. A.... - p. 124-135 , 2021
Link: https://doi.org/10.1007/..
 
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14

Statistical model for dynamically-changing correlation matr..:

Huang, Shih-Gu ; Samdin, S. Balqis ; Ting, Chee-Ming..
Journal of Neuroscience Methods.  331 (2020)  - p. 108480 , 2020
Link: https://doi.org/10.1016/..
 
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15

Statistical models for brain signals with properties that e..:

Ombao, Hernando ; Fiecas, Mark ; Ting, Chee-Ming.
NeuroImage.  180 (2018)  - p. 609-618 , 2018
Link: https://doi.org/10.1016/..
 
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