Kiyoshi Izumi

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 89

Top Venues

Publications

Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. ACL (Findings) (2024)
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. CoRR (2024)
Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. CoRR (2024)
Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, Kiyoshi Izumi
Constructing and analyzing domain-specific language model for financial text mining. Inf. Process. Manag. 60 (2) (2023)
Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto
Summarization of Investment Reports Using Pre-trained Model. IIAI-AAI (2023)
Hiroki Sakaji, Kiyoshi Izumi
Financial Causality Extraction Based on Universal Dependencies and Clue Expressions. New Gener. Comput. 41 (4) (2023)
Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi
Personalized Dynamic Recommender System for Investors. SIGIR (2023)
Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi
Using weather-based machine learning approach to estimate retail sales and interpret weather factors. IIAI-AAI (2023)
Shingo Sashida, Kiyoshi Izumi, Hiroki Sakaji
Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT. IIAI-AAI (2023)
Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe
Personalized Stock Recommendation with Investors' Attention and Contextual Information. SIGIR (2023)
Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi
PAMS: Platform for Artificial Market Simulations. CoRR (2023)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. IIAI-AAI (2023)
Takehiro Takayanagi, Kiyoshi Izumi
Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits. IEICE Trans. Inf. Syst. 106 (10) (2023)
Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi, Yuri Murayama
Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. New Gener. Comput. 41 (4) (2023)
Takehiro Takayanagi, Kiyoshi Izumi
Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. BigData (2023)
Masanori Hirano, Kiyoshi Izumi
Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning. World Wide Web (WWW) 26 (5) (2023)
Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi
Impact Analysis of Social Events on Industries through Narrative Causal Search. BigData (2023)
Takanobu Mizuta, Kiyoshi Izumi
Frequent Batch Auctions investigated by Agent-Based Model. IIAI-AAI (2023)
Tsubasa Ueda, Takehide Hirose, Kiyoshi Izumi
Export Nowcasting with AIS and Foot Traffic Data. IIAI-AAI (2023)
Masanori Hirano, Kiyoshi Izumi
Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning. IIAI-AAI-Winter (2022)
Yuya Takada, Kiyoshi Izumi
Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift. Big Data (2022)
Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano
Transaction Prediction by Using Graph Neural Network and Textual Industry Information. JSAI-isAI Workshops (2022)
Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi
SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. Big Data (2022)
Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers. New Gener. Comput. 40 (1) (2022)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Concept and Practice of Artificial Market Data Mining Platform. CIFEr (2022)
Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations. IIAI-AAI (2022)
Masanori Hirano, Kiyoshi Izumi
Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market. PRIMA (2022)
Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa
Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles. Frontiers Artif. Intell. 5 (2022)
Hiroki Sakaji, Masahiro Suzuki, Kiyoshi Izumi, Hiroyuki Mitsugi
Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. Big Data (2022)
Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
Implementation of Actual Data for Artificial Market Simulation. AAMAS (2022)
Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. Big Data (2022)
Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano
Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information. WWW (Companion Volume) (2022)
Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations. PRIMA (2022)
Masanori Hirano, Kiyoshi Izumi
Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network. ICA (2022)
Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models. Frontiers Artif. Intell. 5 (2022)
Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
SETN: Stock Embedding Enhanced with Textual and Network Information. Big Data (2022)
Yoshito Noritake, Takanobu Mizuta, Ryuta Hemmi, Shota Nagumo, Kiyoshi Izumi
Investigation on effect of excess buy orders using agent-based model. BESC (2022)
Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
Proposal for Turning Point Detection Method Using Financial Text and Transformer. JSAI-isAI Workshops (2022)
Masanori Hirano, Kiyoshi Izumi
Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning. BESC (2022)
Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. Big Data (2022)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. CoRR (2022)
Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
Market Trend Analysis Using Polarity Index Generated from Analyst Reports. IEEE BigData (2021)
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)
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)
Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
STBM: Stochastic Trading Behavior Model for Financial Markets. JSAI (2020)
Hiroki Sakaji, Teruaki Hayashi, Kiyoshi Izumi, Yukio Ohsawa
Verification of Data Similarity using Metadata on a Data Exchange Platform. IEEE BigData (2020)
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)
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)
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
Contextual Sentiment Neural Network for Document Sentiment Analysis. Data Sci. Eng. 5 (2) (2020)
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
SSNN: Sentiment Shift Neural Network. SDM (2020)
Yasutaka Nishimura, Taichi Shimura, Kiyoshi Izumi, Kiyohito Yoshihara
Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households. MABS (2020)
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
Word-Level Contextual Sentiment Analysis with Interpretability. AAAI (2020)
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) (2020)
Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai
Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. PRIMA (2020)
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
GINN: gradient interpretable neural networks for visualizing financial texts. Int. J. Data Sci. Anal. 9 (4) (2020)
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita
CSNN: Contextual Sentiment Neural Network. ICDM (2019)
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
Segment Information Extraction from Financial Annual Reports Using Neural Network. JSAI (2019)
Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
Card Price Prediction of Trading Cards Using Machine Learning Methods. NBiS (2019)
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)
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) (2019)
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)
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
Word-level Sentiment Visualizer for Financial Documents. CIFEr (2019)
Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa
Stock Price Analysis Using Combination of Analyst Reports and Several Documents. ICDM Workshops (2019)
Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. ICDM Workshops (2019)
Hirofumi Yamamoto, Hiroki Sakaji, Hiroyasu Matsushima, Yuki Yamashita, Kyohei Osawa, Kiyoshi Izumi, Takashi Shimada
Forecasting Crypto-Asset Price Using Influencer Tweets. AINA (2019)
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)
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)
Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi
Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. CoRR (2019)
Kiyoshi Izumi, Hiroki Sakaji
Economic Causal-Chain Search Using Text Mining Technology. IJCAI (2019)
Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima
Extraction of Volitional Utterances from Japanese Local Political Corpus. ICDM Workshops (2019)
Yoshinori Tanaka, Syunya Kodera, Fumihito Sato, Hiroki Sakaji, Kiyoshi Izumi
The Extraction of the Future-Oriented Sentences from Annual Reports. IIAI-AAI (2019)
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)
Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
Estimation of Tags Using Various Data for Online Videos. AINA (2019)
Ryo Hamawakai, Jun'ichi Ozaki, Kiyoshi Izumi, Takashi Shimada, Hiroki Sakaji, Hiroyasu Matsushima
Chain Bankruptcy Simulation Considering Investment from Banks to Companies. SMC (2019)
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)
Kei Nakagawa, Shingo Sashida, Hiroki Sakaji, Kiyoshi Izumi
Economic Causal Chain and Predictable Stock Returns. IIAI-AAI (2019)
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) (2019)
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)
Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. PAKDD (3) (2018)
Itsuki Noda, Nobuyasu Ito, Kiyoshi Izumi, Hideki Mizuta, Tomio Kamada, Hiromitsu Hattori
Roadmap and research issues of multiagent social simulation using high-performance computing. J. Comput. Soc. Sci. 1 (1) (2018)
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
Development of sentiment indicators using both unlabeled and labeled posts. SSCI (2017)
Hiroki Sakaji, Atsuya Miyazaki, Hiroyuki Sakai, Kiyoshi Izumi
Extracting Laboratory Front Pages from University Websites. NBiS (2017)
Hiroki Sakaji, Risa Murono, Hiroyuki Sakai, Jason Bennett, Kiyoshi Izumi
Discovery of rare causal knowledge from financial statement summaries. SSCI (2017)
Takuma Torii, Tomio Kamada, Kiyoshi Izumi, Kenta Yamada
Platform design for large-scale artificial market simulation and preliminary evaluation on the K computer. Artif. Life Robotics 22 (3) (2017)
Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. ICDM Workshops (2017)
Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
Polarity propagation of financial terms for market trend analyses using news articles. CEC (2016)
Takanobu Mizuta, Yoshito Noritake, Satoshi Hayakawa, Kiyoshi Izumi
Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model. SSCI (2016)
Takanobu Mizuta, Shintaro Kosugi, Takuya Kusumoto, Wataru Matsumoto, Kiyoshi Izumi, Isao Yagi, Shinobu Yoshimura
Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations. Intell. Syst. Account. Finance Manag. 23 (1-2) (2016)
Itsuki Noda, Nobuyasu Ito, Kiyoshi Izumi, Tomohisa Yamashita, Hideki Mizuta, Tomio Kamada, Yohsuke Murase, Sachiko Yoshihama, Hiromitsu Hattori
Roadmap for Multiagent Social Simulation on HPC. WI-IAT (3) (2015)
Saki Kawakubo, Kiyoshi Izumi, Shinobu Yoshimura
Analysis of an Option Market Dynamics Based on a Heterogeneous Agent Model. Intell. Syst. Account. Finance Manag. 21 (2) (2014)
Takanobu Mizuta, Kiyoshi Izumi, Isao Yagi, Shinobu Yoshimura
Regulations' effectiveness for market turbulence by large erroneous orders using multi agent simulation. CIFEr (2014)
Saki Kawakubo, Kiyoshi Izumi, Shinobu Yoshimura
How Does High Frequency Risk Hedge Activity Have an Affect on Underlying Market?: Analysis by Artificial Market Model. J. Adv. Comput. Intell. Intell. Informatics 18 (4) (2014)
Takanobu Mizuta, Wataru Matsumoto, Shintaro Kosugi, Kiyoshi Izumi, Takuya Kusumoto, Shinobu Yoshimura
Do dark pools stabilize markets and reduce market impacts? Investigations using multi-agent simulations. CIFEr (2014)
Bungo Miyazaki, Kiyoshi Izumi, Fujio Toriumi, Ryo Takahashi
Change Detection of Orders in Stock Markets using a Gaussian Mixture Model. Intell. Syst. Account. Finance Manag. 21 (3) (2014)
Takanobu Mizuta, Kiyoshi Izumi, Shinobu Yoshimura
Price variation limits and financial market bubbles: Artificial market simulations with agents' learning process. CIFEr (2013)
Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi
A study on the reversal mechanism for large stock price declines using artificial markets. CIFEr (2012)
Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori, Nariaki Nishino, Itsuki Noda
Social and Group Simulation Based on Real Data Analysis. J. Adv. Comput. Intell. Intell. Informatics 15 (2) (2011)
Kiyoshi Izumi, Yoshifumi Nishida, Yoichi Motomura
Risk Evaluation by Human Trajectory Simulation Based on Real Data. J. Adv. Comput. Intell. Intell. Informatics 15 (2) (2011)
Tohgoroh Matsui, Takashi Goto, Kiyoshi Izumi, Yu Chen
Compound Reinforcement Learning: Theory and an Application to Finance. EWRL (2011)
Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi
A Study on the Effectiveness of Short-Selling Regulation in View of Regulation Period Using Artificial Markets. ACIS-ICIS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kiyoshi Izumi