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Maxwell Hwang
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2020 – today
- 2024
- [c2]Maxwell Hwang, Kao-Shing Hwang:
Spatial Attention with Fine Temporary Synthesis for Action Recognition. ICCE 2024: 1-6 - 2023
- [j15]Maxwell Hwang, Yucheng Qian, Cai Wu, Wei-Cheng Jiang, Da Wang, Jingsun Wei, Kefeng Ding, Kao-Shing Hwang:
A local region proposals approach to instance segmentation for intestinal polyp detection. Int. J. Mach. Learn. Cybern. 14(5): 1591-1603 (2023) - [j14]Maxwell Hwang, Jin-Ling Lin, Shao-Wei Kao:
An Attentive Consensus Platform for Collaborative Reinforcement Learning Agents. IEEE Syst. J. 17(3): 3783-3793 (2023) - [j13]Haobin Shi, Jingchen Li, Meng Liang, Maxwell Hwang, Kao-Shing Hwang, Yun-Yu Hsu:
Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 529-541 (2023) - 2022
- [j12]Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
A critical state identification approach to inverse reinforcement learning for autonomous systems. Int. J. Mach. Learn. Cybern. 13(5): 1409-1423 (2022) - [j11]Maxwell Hwang, Cai Wu, Wei-Cheng Jiang, Wei-Chen Hung:
A sequential attention interface with a dense reward function for mitosis detection. Int. J. Mach. Learn. Cybern. 13(9): 2663-2675 (2022) - 2021
- [j10]Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yenming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho:
Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation. BMC Bioinform. 22-S(5): 93 (2021) - [j9]Da Wang, Maxwell Hwang, Wei-Cheng Jiang, Kefeng Ding, Hsiao Chien Chang, Kao-Shing Hwang:
A deep learning method for counting white blood cells in bone marrow images. BMC Bioinform. 22-S(5): 94 (2021) - [j8]Maxwell Hwang, Yu-Jen Chen, Ming-Yi Ju, Wei-Cheng Jiang:
A fuzzy CMAC learning approach to image based visual servoing system. Inf. Sci. 576: 187-203 (2021) - [j7]Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Kao-Shing Hwang, Yi-Chia Tseng:
An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 444-452 (2021) - 2020
- [j6]Maxwell Hwang, Da Wang, Xiang-Xing Kong, Zhanhuai Wang, Jun Li, Wei-Cheng Jiang, Kao-Shing Hwang, Kefeng Ding:
An automated detection system for colonoscopy images using a dual encoder-decoder model. Comput. Medical Imaging Graph. 84: 101763 (2020) - [j5]Maxwell Hwang, Da Wang, Cai Wu, Wei-Cheng Jiang, Xiang-Xing Kong, Kao-Shing Hwang, Kefeng Ding:
A Fuzzy Segmentation Method to Learn Classification of Mitosis. Int. J. Fuzzy Syst. 22(5): 1653-1664 (2020) - [j4]Tao Zhang, Ying Liu, Maxwell Hwang, Kao-Shing Hwang, Chunyan Ma, Jing Cheng:
An end-to-end inverse reinforcement learning by a boosting approach with relative entropy. Inf. Sci. 520: 1-14 (2020) - [j3]Haobin Shi, Liangjing Zhai, Haibo Wu, Maxwell Hwang, Kao-Shing Hwang, Hsuan-Pei Hsu:
A Multitier Reinforcement Learning Model for a Cooperative Multiagent System. IEEE Trans. Cogn. Dev. Syst. 12(3): 636-644 (2020) - [j2]Haobin Shi, Haibo Wu, Chenxi Xu, Jinhui Zhu, Maxwell Hwang, Kao-Shing Hwang:
Adaptive Image-Based Visual Servoing Using Reinforcement Learning With Fuzzy State Coding. IEEE Trans. Fuzzy Syst. 28(12): 3244-3255 (2020) - [c1]Maxwell Hwang, Cai Wu, Kao-Shing Hwang, Yong Si Xu, Chien-Hsing Wu:
A Temporal-Spatial Attention Model for Medical Image Detection. MediaEval 2020
2010 – 2019
- 2019
- [j1]Maxwell Hwang, Da Wang, Wei-Cheng Jiang, Xiang Pan, Dongliang Fu, Kao-Shing Hwang, Kefeng Ding:
An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders. Int. J. Fuzzy Syst. 21(7): 2091-2101 (2019)
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