An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders. - Maxwell Hwang; Da Wang; Wei-Cheng Jiang; Xiang Pan; Dongliang Fu; Kao-Shing Hwang; Kefeng Ding (Int. J. Fuzzy Syst., 2019)

A Temporal-Spatial Attention Model for Medical Image Detection. - Maxwell Hwang; Cai Wu; Kao-Shing Hwang; Yong Si Xu; Chien-Hsing Wu (MediaEval, 2020)

An automated detection system for colonoscopy images using a dual encoder-decoder model. - Maxwell Hwang; Da Wang; Xiang-Xing Kong; Zhanhuai Wang; Jun Li 099; Wei-Cheng Jiang; Kao-Shing Hwang; Kefeng Ding (Comput. Medical Imaging Graph., 2020)

A Fuzzy Segmentation Method to Learn Classification of Mitosis. - Maxwell Hwang; Da Wang; Cai Wu; Wei-Cheng Jiang; Xiang-Xing Kong; Kao-Shing Hwang; Kefeng Ding (Int. J. Fuzzy Syst., 2020)

An end-to-end inverse reinforcement learning by a boosting approach with relative entropy. - Tao Zhang 089; Ying Liu; Maxwell Hwang; Kao-Shing Hwang; Chunyan Ma; Jing Cheng (Inf. Sci., 2020)

A Multitier Reinforcement Learning Model for a Cooperative Multiagent System. - Haobin Shi; Liangjing Zhai; Haibo Wu 007; Maxwell Hwang; Kao-Shing Hwang; Hsuan-Pei Hsu (IEEE Trans. Cogn. Dev. Syst., 2020)

Adaptive Image-Based Visual Servoing Using Reinforcement Learning With Fuzzy State Coding. - Haobin Shi; Haibo Wu 007; Chenxi Xu; Jinhui Zhu; Maxwell Hwang; Kao-Shing Hwang (IEEE Trans. Fuzzy Syst., 2020)

A deep learning method for counting white blood cells in bone marrow images. - Da Wang; Maxwell Hwang; Wei-Cheng Jiang; Kefeng Ding; Hsiao Chien Chang; Kao-Shing Hwang (BMC Bioinform., 2021)

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation. - Cai Wu; Maxwell Hwang; Tian-Hsiang Huang; Yenming J. Chen; Yiu-Jen Chang; Tsung-Han Ho; Jian Huang; Kao-Shing Hwang; Wen-Hsien Ho (BMC Bioinform., 2021)

A fuzzy CMAC learning approach to image based visual servoing system. - Maxwell Hwang; Yu-Jen Chen; Ming-Yi Ju; Wei-Cheng Jiang (Inf. Sci., 2021)

An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning. - Maxwell Hwang; Wei-Cheng Jiang; Yu-Jen Chen; Kao-Shing Hwang; Yi-Chia Tseng (IEEE Trans. Cogn. Dev. Syst., 2021)

A critical state identification approach to inverse reinforcement learning for autonomous systems. - Maxwell Hwang; Wei-Cheng Jiang; Yu-Jen Chen (Int. J. Mach. Learn. Cybern., 2022)

A sequential attention interface with a dense reward function for mitosis detection. - Maxwell Hwang; Cai Wu; Wei-Cheng Jiang; Wei-Chen Hung (Int. J. Mach. Learn. Cybern., 2022)

Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism. - Haobin Shi; Jingchen Li; Meng Liang; Maxwell Hwang; Kao-Shing Hwang; Yun-Yu Hsu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A local region proposals approach to instance segmentation for intestinal polyp detection. - Maxwell Hwang; Yucheng Qian; Cai Wu; Wei-Cheng Jiang; Da Wang; Jingsun Wei; Kefeng Ding; Kao-Shing Hwang (Int. J. Mach. Learn. Cybern., 2023)

An Attentive Consensus Platform for Collaborative Reinforcement Learning Agents. - Maxwell Hwang; Jin-Ling Lin; Shao-Wei Kao (IEEE Syst. J., 2023)

Spatial Attention with Fine Temporary Synthesis for Action Recognition. - Maxwell Hwang; Kao-Shing Hwang (ICCE, 2024)