I'm a graduate student (Master course) at Graduate School of International Christian University.

Area or Specialization: Mathematics and Information Science

Basic Information　

Name: Takuya Shintate
Contact: kmdbn2hs@gmail.com

Github [link]
LinkedIn [link]

Notice: please refer to the introduction in my LinkedIn page for the details on my interests.

Research Area

I research about machine learning application to financial time series i.e. Bitcoin or Litecoin.

keywords: Machine Leaning, Statistics, Deep Learning, Time Series Analysis

Academic Publications and Results

Conference

My paper entitled "Prediction of High Frequency Bitcoin Prices with Deep Learning Attention Mechanism" was accepted on WEHIA Conference 2018, Tokyo, Japan [link]

Journal

My paper entitled "Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning" was accepted and published by Journal of Risk and Financial Management [link]

Results

My paper entitled "Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning" was selected as an issue cover in volume 12, issue 1, 2019 [link]

Product

Node

Node is minimal implementation of define-by-run deep learning library on numpy or cupy. [link]

Technical Skills

Programming Languages

I usually code with Python or sometimes use C/C++. In particular, I have used Python for 5+ years.

Libraries

I often use sklearn or PyTorch (sometimes TensorFlow) to implement or use machine learning algorithms, including deep learning.