A deep learning method for counting white blood cells in bone marrow images von Wang, Da, Hwang, Maxwell, Jiang, Wei-Cheng, Ding, Kefeng, Chang, Hsiao Chien, Hwang, Kao-Shing

Volltext

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation von Wu, Cai, Hwang, Maxwell, Huang, Tian-Hsiang, Chen, Yen-Ming J., Chang, Yiu-Jen, Ho, Tsung-Han, Huang, Jian, Hwang, Kao-Shing, Ho, Wen-Hsien

Volltext

FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms von Lu, Wei, Fu, Dongliang, Kong, Xiangxing, Huang, Zhiheng, Hwang, Maxwell, Zhu, Yingshuang, Chen, Liubo, Jiang, Kai, Li, Xinlin, Wu, Yihua, Li, Jun, Yuan, Ying, Ding, Kefeng

Volltext

Prognostic Risk Model of Immune-Related Genes in Colorectal Cancer von Qian, Yucheng, Wei, Jingsun, Lu, Wei, Sun, Fangfang, Hwang, Maxwell, Jiang, Kai, Fu, Dongliang, Zhou, Xinyi, Kong, Xiangxing, Zhu, Yingshuang, Xiao, Qian, Hu, Yeting, Ding, Kefeng

Volltext

Adaptive Image-Based Visual Servoing Using Reinforcement Learning With Fuzzy State Coding von Shi, Haobin, Wu, Haibo, Xu, Chenxi, Zhu, Jinhui, Hwang, Maxwell, Hwang, Kao-Shing

Volltext

A fuzzy CMAC learning approach to image based visual servoing system von Hwang, Maxwell, Chen, Yu-Jen, Ju, Ming-Yi, Jiang, Wei-Cheng

Volltext

An end-to-end inverse reinforcement learning by a boosting approach with relative entropy von Zhang, Tao, Liu, Ying, Hwang, Maxwell, Hwang, Kao-Shing, Ma, ChunYan, Cheng, Jing

Volltext

A sequential attention interface with a dense reward function for mitosis detection von Hwang, Maxwell, Wu, Cai, Jiang, Wei-Cheng, Hung, Wei-Chen

Volltext

An Autophagy-Related Long Noncoding RNA Signature Contributes to Poor Prognosis in Colorectal Cancer von Xiao, Qian, Ding, Kefeng, Fu, Dongliang, Fang, Yimin, Jiang, Kai, Lu, Wei, Qian, Yucheng, Tang, Yang, Ge, Xiaoxu, Wei, Jingsun, Hwang, Maxwell

Volltext

An automated detection system for colonoscopy images using a dual encoder-decoder model von Hwang, Maxwell, Wang, Da, Kong, Xiang-Xing, Wang, Zhanhuai, Li, Jun, Jiang, Wei-Cheng, Hwang, Kao-Shing, Ding, Kefeng

Volltext

An Attentive Consensus Platform for Collaborative Reinforcement Learning Agents von Hwang, Maxwell, Lin, Jin-Ling, Kao, Shao-Wei

Volltext

A local region proposals approach to instance segmentation for intestinal polyp detection von Hwang, Maxwell, Qian, Yucheng, Wu, Cai, Jiang, Wei-Cheng, Wang, Da, Wei, Jingsun, Ding, Kefeng, Hwang, Kao-Shing

Volltext

A Multitier Reinforcement Learning Model for a Cooperative Multiagent System von Shi, Haobin, Zhai, Liangjing, Wu, Haibo, Hwang, Maxwell, Hwang, Kao-Shing, Hsu, Hsuan-Pei

Volltext

Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism von Shi, Haobin, Li, Jingchen, Liang, Meng, Hwang, Maxwell, Hwang, Kao-Shing, Hsu, Yun-Yu

Volltext

A critical state identification approach to inverse reinforcement learning for autonomous systems von Hwang, Maxwell, Jiang, Wei-Cheng, Chen, Yu-Jen

Volltext

An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning von Hwang, Maxwell, Jiang, Wei-Cheng, Chen, Yu-Jen, Hwang, Kao-Shing, Tseng, Yi-Chia

Volltext

A Fuzzy Segmentation Method to Learn Classification of Mitosis von Hwang, Maxwell, Wang, Da, Wu, Cai, Jiang, Wei-Cheng, Kong, Xiang-Xing, Hwang, Kao-Shing, Ding, Kefeng

Volltext

An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder–Decoders von Hwang, Maxwell, Wang, Da, Jiang, Wei-Cheng, Pan, Xiang, Fu, Dongliang, Hwang, Kao-Shing, Ding, Kefeng

Volltext

Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms von Lu, Wei, Pan, Xiang, Dai, Siqi, Fu, Dongliang, Hwang, Maxwell, Zhu, Yingshuang, Zhang, Lina, Wei, Jingsun, Kong, Xiangxing, Li, Jun, Xiao, Qian, Ding, Kefeng

Volltext

The Human Thalamus Is an Integrative Hub for Functional Brain Networks von Hwang, Kai, Bertolero, Maxwell A, Liu, William B, D'Esposito, Mark

Volltext