Yoshiyuki Suimon

12 papers B 1Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Time series generation for option pricing on quantum computers using tensor network.
CoRR
Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto
2023 — conf
Measuring Japanese Stock Correlation Networks and Application for Investment Strategy.
IIAI-AAI
Nozomu Kobayashi, Yoshiyuki Suimon
2023 J jnl
The cross-sectional stock return predictions via quantum neural network and tensor network.
CoRR
Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai
2023 J jnl
The cross-sectional stock return predictions via quantum neural network and tensor network.
Quantum Mach. Intell.
Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai
2023 — conf
Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data.
IIAI-AAI
Masaki Fujiwara, Yoshiyuki Suimon, Kei Nakagawa
2023 — conf
Using weather-based machine learning approach to estimate retail sales and interpret weather factors.
IIAI-AAI
Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi
2022 — conf
Construction of real-time manufacturing industry production activity estimation models using high-frequency electricity demand data.
CIFEr
Yoshiyuki Suimon, Hiroto Tanabe
2022 B conf
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic.
IEEE Big Data
Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi
2020 — conf
Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19.
IIAI-AAI
Yoshiyuki Suimon, Mikoto Yanai
2020 — conf
Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns.
IIAI-AAI
Yoshiyuki Suimon, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima
2019 — conf
Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods.
IIAI-AAI
Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima
2019 — conf
Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve.
CIFEr
Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima