325 citations
- Academia SinicaTW47 papers
- National Taiwan UniversityTW30 papers
- Institute of Information Science, Academia SinicaTW20 papers
- National Yang Ming Chiao Tung UniversityTW14 papers
- National Sun Yat-sen UniversityTW10 papers
- National Tsing Hua UniversityTW9 papers
- National Institute of Information and Communications TechnologyJP8 papers
- National Taiwan University of Science and TechnologyTW8 papers
- National Chengchi UniversityTW4 papers
- Singapore University of Technology and DesignSG4 papers
- Virginia TechUS4 papers
- National Taipei University of TechnologyTW3 papers
12 papers · 1 filter
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks
Li-Chin Chen, Ji-Tian Sheu, Yuh-Jue Chuang +1
Objective: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can…
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder
Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh +3
Frozen shoulder (FS) is a shoulder condition that leads to pain and loss of shoulder range of motion. FS patients have difficulties in independently performing daily activities. In…
Optimistic Temporal Difference Learning for 2048
Hung Guei, Lung-Pin Chen, I-Chen Wu
Temporal difference (TD) learning and its variants, such as multistage TD (MS-TD) learning and temporal coherence (TC) learning, have been successfully applied to 2048. These metho…
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang +4
In this study, we propose a novel adversarial reprogramming (AR) approach for low-resource spoken command recognition (SCR), and build an AR-SCR system. The AR procedure aims to mo…
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi +2
Neural evaluation metrics derived for numerous speech generation tasks have recently attracted great attention. In this paper, we propose SVSNet, the first end-to-end neural networ…
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…