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Yoshiyuki Suimon
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2020 – today
- 2024
- [i2]Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto:
Time series generation for option pricing on quantum computers using tensor network. CoRR abs/2402.17148 (2024) - 2023
- [j1]Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai:
The cross-sectional stock return predictions via quantum neural network and tensor network. Quantum Mach. Intell. 5(2): 46 (2023) - [c9]Masaki Fujiwara, Yoshiyuki Suimon, Kei Nakagawa:
Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data. IIAI-AAI 2023: 337-342 - [c8]Nozomu Kobayashi, Yoshiyuki Suimon:
Measuring Japanese Stock Correlation Networks and Application for Investment Strategy. IIAI-AAI 2023: 480-485 - [c7]Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi:
Using weather-based machine learning approach to estimate retail sales and interpret weather factors. IIAI-AAI 2023: 725-727 - [i1]Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai:
The cross-sectional stock return predictions via quantum neural network and tensor network. CoRR abs/2304.12501 (2023) - 2022
- [c6]Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi:
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. IEEE Big Data 2022: 2370-2372 - [c5]Yoshiyuki Suimon, Hiroto Tanabe:
Construction of real-time manufacturing industry production activity estimation models using high-frequency electricity demand data. CIFEr 2022: 1-7 - 2020
- [c4]Yoshiyuki Suimon, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima:
Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns. IIAI-AAI 2020: 562-565 - [c3]Yoshiyuki Suimon, Mikoto Yanai:
Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19. IIAI-AAI 2020: 725-728
2010 – 2019
- 2019
- [c2]Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima:
Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve. CIFEr 2019: 1-7 - [c1]Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima:
Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods. IIAI-AAI 2019: 649-654
Coauthor Index
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