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ORCIDHiroyasu Matsushima
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2020 – today
- 2024
[c26]Hiroyasu Matsushima
, Yusuke Tajima, Xiao-Nan Lu, Masakazu Jimbo:
Efficient Pooling Designs and Screening Performance in Group Testing for Two Types of Defectives. COMPSAC 2024: 1996-2000- [i3]Hiroyasu Matsushima, Yusuke Tajima, Xiao-Nan Lu, Masakazu Jimbo:
Efficient pooling designs and screening performance in group testing for two type defectives. CoRR abs/2405.09455 (2024) - 2022
- [c25]Yoshiaki Fukami, Takumi Shimizu, Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima:
Centralized Versus Decentralized Digital Identity Architectures: Simulation Models of Data Exchange. AAAI Spring Symposium: HFIF 2022: 94-95 - [c24]Teruaki Hayashi, Hiroyasu Matsushima, Hiroki Sakaji, Yoshiaki Fukami, Takumi Shimizu:
Models of Exchanged Datasets and Interactions of Buyers in the Data Market: Toward Multi-Agent Simulators for System Design. KES 2022: 1695-1704 - 2021
- [j9]Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa:
Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform. Rev. Socionetwork Strateg. 15(2): 521-534 (2021) - [c23]Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima:
The Impact of Decentralized Identity Architecture on Data Exchange. IEEE BigData 2021: 3461-3465 - [c22]Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima:
Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset. IEEE BigData 2021: 3466-3471 - [c21]Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima, Kiyoshi Izumi:
Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. IEEE BigData 2021: 3480-3485 - 2020
- [j8]Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima, Yasushi Ishikawa:
Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports. Inf. 11(6): 292 (2020) - [j7]Masanori Hirano, Kiyoshi Izumi, Hiroyasu Matsushima, Hiroki Sakaji:
Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. J. Artif. Soc. Soc. Simul. 23(3) (2020) - [c20]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 - [c19]Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji:
STBM: Stochastic Trading Behavior Model for Financial Markets. JSAI 2020: 157-165 - [c18]Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji:
Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. PRIMA 2020: 3-18 - [c17]Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai:
Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. PRIMA 2020: 352-359 - [i2]Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa:
Data Combination for Problem-solving: A Case of an Open Data Exchange Platform. CoRR abs/2012.11746 (2020)
2010 – 2019
- 2019
- [j6]Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato:
Related Stocks Selection with Data Collaboration Using Text Mining. Inf. 10(3): 102 (2019) - [j5]Ryo Hamawaki, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima:
Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure. J. Comput. Soc. Sci. 2(1): 53-66 (2019) - [c16]Hirofumi Yamamoto, Hiroki Sakaji, Hiroyasu Matsushima, Yuki Yamashita, Kyohei Osawa, Kiyoshi Izumi, Takashi Shimada:
Forecasting Crypto-Asset Price Using Influencer Tweets. AINA 2019: 940-951 - [c15]Atsuki Nakayama, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada, Kenta Yamada:
Short-term Stock Price Prediction by Analysis of Order Pattern Images. CIFEr 2019: 1-5 - [c14]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 - [c13]Kyoto Yono, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada:
Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction. CIFEr 2019: 1-7 - [c12]Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima:
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. ICDM Workshops 2019: 17-23 - [c11]Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima:
Extraction of Volitional Utterances from Japanese Local Political Corpus. ICDM Workshops 2019: 24-29 - [c10]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 - [c9]Kyoto Yono, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada:
Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market. IIAI-AAI 2019: 661-666 - [c8]Iwao Maeda, Hiroyasu Matsushima, Hiroki Sakaji, Kiyoshi Izumi, David deGraw, Atsuo Kato, Michiharu Kitano:
Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting. IIAI-AAI 2019: 673-678 - [c7]Ryo Hamawaki, Jun'ichi Ozaki, Kiyoshi Izumi, Takashi Shimada, Hiroki Sakaji, Hiroyasu Matsushima:
Chain Bankruptcy Simulation Considering Investment from Banks to Companies. SMC 2019: 3784-3790 - 2018
- [c6]Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato:
Selection of Related Stocks using Financial Text Mining. ICDM Workshops 2018: 191-198 - [c5]Yohsuke Murase, Hiroyasu Matsushima, Itsuki Noda, Tomio Kamada:
CARAVAN: A Framework for Comprehensive Simulations on Massive Parallel Machines. MMAS 2018: 130-143 - [i1]Yohsuke Murase, Hiroyasu Matsushima, Itsuki Noda, Tomio Kamada:
CARAVAN: a framework for comprehensive simulations on massive parallel machines. CoRR abs/1811.08801 (2018) - 2017
- [j4]Hiroyasu Matsushima, Keiki Takadama:
Exemplar-Based Learning Classifier System with Dynamic Matching Range for Imbalanced Data. J. Adv. Comput. Intell. Intell. Informatics 21(5): 868-875 (2017) - 2015
- [j3]Yusuke Tajima, Masaya Nakata, Hiroyasu Matsushima, Yoshihiro Ichikawa, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama:
Evolutionary Algorithm for Uncertain Evaluation Function. New Math. Nat. Comput. 11(2): 201-215 (2015) - 2012
- [c4]Hiroyasu Matsushima, Shogo Minami, Keiki Takadama:
Age-Based Sleep Stage Estimation by Evolutionary Algorithm. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness 2012 - 2011
- [c3]Keiki Takadama, Atsushi Otaki, Keiji Sato, Hiroyasu Matsushima, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato:
What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? HCI (12) 2011: 335-344 - 2010
- [j2]Keiki Takadama, Kazuyuki Hirose, Hiroyasu Matsushima, Kiyohiko Hattori, Nobuo Nakajima:
Learning Multiple Band-Pass Filters for Sleep Stage Estimation: Towards Care Support for Aged Persons. IEICE Trans. Commun. 93-B(4): 811-818 (2010) - [c2]Hiroyasu Matsushima, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama:
Dynamic matching range in Exemplar-based Learning Classifier System. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c1]Tomohiro Shimada, Masayuki Otani, Hiroyasu Matsushima, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama:
Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization. PPSN (2) 2010: 121-130
2000 – 2009
- 2009
- [j1]Hiroyasu Matsushima, Kiyohiko Hattori, Keiki Takadama:
Exemplar Generalization in Reinforcement Learning: Improving Performance with Fewer Exemplars. J. Adv. Comput. Intell. Intell. Informatics 13(6): 683-690 (2009)
Coauthor Index
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