An Artificial Market Analysis of Exchange Rate Dynamics. - Kiyoshi Izumi; Takashi Okatsu (Evolutionary Programming, 1996)

Analysis of Exchange Rate Scenarios Using an Artificial Market Approach. - Kiyoshi Izumi; Kazuhiro Ueda (IC-AI, 1999)

Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data. - Kiyoshi Izumi; Kazuhiro Ueda (IDEAL, 2000)

Complexity of Agents and Complexity of Markets. - Kiyoshi Izumi (JSAI Workshops, 2001)

Phase transition in a foreign exchange market-analysis based on an artificial market approach. - Kiyoshi Izumi; Kazuhiro Ueda (IEEE Trans. Evol. Comput., 2001)

Identification of Agents' Strategy Making Process by an Experimental Market. - Kiyoshi Izumi; Shigeo Nakamura; Kazuhiro Ueda (JCIS, 2002)

Effect of Using Route Information Sharing to Reduce Traffic Congestion. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani (MAMUS, 2003)

Analysis of Efficiency and Accuracy of Learning in Minoriy Games. - Kiyoshi Izumi; Tomohisa Yamashita; Koichi Kurumatani (AAMAS, 2004)

Investigation of Reduction of Traffic Congestion with Route Information Sharing. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani (AAMAS, 2004)

Analysis of Efficiency and Accuracy of Learning in Minority Games. - Kiyoshi Izumi (JSAI Workshops, 2004)

Analysis of Learning Types in an Artificial Market. - Kiyoshi Izumi; Tomohisa Yamashita; Koichi Kurumatani (MABS, 2004)

An Investigation into the Use of Group Dynamics for Solving Social Dilemmas. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani (MABS, 2004)

Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani (Applications of Agent Technology in Traffic and Transportation, 2005)

Smooth traffic flow with a cooperative car navigation system. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani; Hideyuki Nakashima (AAMAS, 2005)

Agent Network Dynamics and Intelligence (ANDI 2005). - Satoshi Kurihara; Kiyoshi Izumi (JSAI Workshops, 2005)

Information Sharing for Smooth Traffic in Road Networks. - Tomohisa Yamashita; Kiyoshi Izumi; Koichi Kurumatani (JSAI Workshops, 2005)

Development of an artificial market model based on a field study. - Kiyoshi Izumi; Shigeo Nakamura; Kazuhiro Ueda (Inf. Sci., 2005)

Integration of Artificial Market Simulation and Text Mining for Market Analysis. - Kiyoshi Izumi; Hiroki Matsui; Yutaka Matsuo (ICHIT, 2006)

Socially embedded multi agent based simulation of financial market. - Kiyoshi Izumi; Hiroki Matsui; Yutaka Matsuo (AAMAS, 2007)

A Self-Impact Analysis by Artificial Market Simulation. - Kiyoshi Izumi; Hiroki Matsui; Yutaka Matsuo (CIDM, 2007)

Inferring Long-term User Properties Based on Users' Location History. - Yutaka Matsuo; Naoaki Okazaki; Kiyoshi Izumi; Yoshiyuki Nakamura; Takuichi Nishimura; Kôiti Hasida; Hideyuki Nakashima (IJCAI, 2007)

Market Participant Estimation by Using Artificial Market. - Fujio Toriumi; Kiyoshi Izumi; Hiroki Matsui (PRIMA Workshops, 2009)

A Study on the Market Impact of Short-Selling Regulation Using Artificial Markets. - Isao Yagi; Takanobu Mizuta; Kiyoshi Izumi (PRIMA Workshops, 2009)

Evaluation of automated-trading strategies using an artificial market. - Kiyoshi Izumi; Fujio Toriumi; Hiroki Matsui (Neurocomputing, 2009)

Acquiring a Government Bond Trading Strategy Using Reinforcement Learning. - Tohgoroh Matsui; Takashi Goto 004; Kiyoshi Izumi (J. Adv. Comput. Intell. Intell. Informatics, 2009)

A Study on the Effectiveness of Short-Selling Regulation in View of Regulation Period Using Artificial Markets. - Isao Yagi; Takanobu Mizuta; Kiyoshi Izumi (ACIS-ICIS, 2010)

Trading Tests of Long-Term Market Forecast by Text Mining. - Kiyoshi Izumi; Takashi Goto 004; Tohgoroh Matsui (ICDM Workshops, 2010)

Surgical Workflow Monitoring Based on Trajectory Data Mining. - Atsushi Nara; Kiyoshi Izumi; Hiroshi Iseki; Takashi Suzuki; Kyojiro Nambu; Yasuo Sakurai (JSAI-isAI Workshops, 2010)

Compound Reinforcement Learning: Theory and an Application to Finance. - Tohgoroh Matsui; Takashi Goto 004; Kiyoshi Izumi; Yu Chen 007 (EWRL, 2011)

Risk Evaluation by Human Trajectory Simulation Based on Real Data. - Kiyoshi Izumi; Yoshifumi Nishida; Yoichi Motomura (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Social and Group Simulation Based on Real Data Analysis. - Kiyoshi Izumi; Keiki Takadama; Hiromitsu Hattori; Nariaki Nishino; Itsuki Noda (J. Adv. Comput. Intell. Intell. Informatics, 2011)

A study on the reversal mechanism for large stock price declines using artificial markets. - Isao Yagi; Takanobu Mizuta; Kiyoshi Izumi (CIFEr, 2012)

Price variation limits and financial market bubbles: Artificial market simulations with agents' learning process. - Takanobu Mizuta; Kiyoshi Izumi; Shinobu Yoshimura (CIFEr, 2013)

Regulations' effectiveness for market turbulence by large erroneous orders using multi agent simulation. - Takanobu Mizuta; Kiyoshi Izumi; Isao Yagi; Shinobu Yoshimura (CIFEr, 2014)

Do dark pools stabilize markets and reduce market impacts? Investigations using multi-agent simulations. - Takanobu Mizuta; Wataru Matsumoto; Shintaro Kosugi; Kiyoshi Izumi; Takuya Kusumoto; Shinobu Yoshimura (CIFEr, 2014)

Analysis of an Option Market Dynamics Based on a Heterogeneous Agent Model. - Saki Kawakubo; Kiyoshi Izumi; Shinobu Yoshimura (Intell. Syst. Account. Finance Manag., 2014)

Change Detection of Orders in Stock Markets using a Gaussian Mixture Model. - Bungo Miyazaki; Kiyoshi Izumi; Fujio Toriumi; Ryo Takahashi (Intell. Syst. Account. Finance Manag., 2014)

How Does High Frequency Risk Hedge Activity Have an Affect on Underlying Market?: Analysis by Artificial Market Model. - Saki Kawakubo; Kiyoshi Izumi; Shinobu Yoshimura (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Roadmap for Multiagent Social Simulation on HPC. - Itsuki Noda; Nobuyasu Ito; Kiyoshi Izumi; Tomohisa Yamashita; Hideki Mizuta; Tomio Kamada; Yohsuke Murase; Sachiko Yoshihama; Hiromitsu Hattori (WI-IAT (3), 2015)

Polarity propagation of financial terms for market trend analyses using news articles. - Tomoki Ito; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (CEC, 2016)

Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model. - Takanobu Mizuta; Yoshito Noritake; Satoshi Hayakawa; Kiyoshi Izumi (SSCI, 2016)

Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations. - Takanobu Mizuta; Shintaro Kosugi; Takuya Kusumoto; Wataru Matsumoto; Kiyoshi Izumi; Isao Yagi; Shinobu Yoshimura (Intell. Syst. Account. Finance Manag., 2016)

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (ICDM Workshops, 2017)

Extracting Laboratory Front Pages from University Websites. - Hiroki Sakaji; Atsuya Miyazaki; Hiroyuki Sakai 003; Kiyoshi Izumi (NBiS, 2017)

Development of sentiment indicators using both unlabeled and labeled posts. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (SSCI, 2017)

Discovery of rare causal knowledge from financial statement summaries. - Hiroki Sakaji; Risa Murono; Hiroyuki Sakai 003; Jason Bennett; Kiyoshi Izumi (SSCI, 2017)

Platform design for large-scale artificial market simulation and preliminary evaluation on the K computer. - Takuma Torii; Tomio Kamada; Kiyoshi Izumi; Kenta Yamada (Artif. Life Robotics, 2017)

Selection of Related Stocks using Financial Text Mining. - Masanori Hirano 001; Hiroki Sakaji; Shoko Kimura; Kiyoshi Izumi; Hiroyasu Matsushima; Shintaro Nagao; Atsuo Kato (ICDM Workshops, 2018)

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. - Tomoki Ito; Hiroki Sakaji; Kota Tsubouchi; Kiyoshi Izumi; Tatsuo Yamashita (PAKDD (3), 2018)

Roadmap and research issues of multiagent social simulation using high-performance computing. - Itsuki Noda; Nobuyasu Ito; Kiyoshi Izumi; Hideki Mizuta; Tomio Kamada; Hiromitsu Hattori (J. Comput. Soc. Sci., 2018)

Estimation of Tags Using Various Data for Online Videos. - Hiroki Sakaji; Akio Kobayashi; Masaki Kohana; Yasunao Takano; Kiyoshi Izumi (AINA, 2019)

Forecasting Crypto-Asset Price Using Influencer Tweets. - Hirofumi Yamamoto; Hiroki Sakaji; Hiroyasu Matsushima; Yuki Yamashita; Kyohei Osawa; Kiyoshi Izumi; Takashi Shimada (AINA, 2019)

Word-level Sentiment Visualizer for Financial Documents. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (CIFEr, 2019)

Short-term Stock Price Prediction by Analysis of Order Pattern Images. - Atsuki Nakayama; Kiyoshi Izumi; Hiroki Sakaji; Hiroyasu Matsushima; Takashi Shimada; Kenta Yamada (CIFEr, 2019)

Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve. - Yoshiyuki Suimon; Hiroki Sakaji; Takashi Shimada; Kiyoshi Izumi; Hiroyasu Matsushima (CIFEr, 2019)

Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction. - Kyoto Yono; Kiyoshi Izumi; Hiroki Sakaji; Hiroyasu Matsushima; Takashi Shimada (CIFEr, 2019)

CSNN: Contextual Sentiment Neural Network. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Kiyoshi Izumi; Tatsuo Yamashita (ICDM, 2019)

Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. - Yuta Niki; Hiroki Sakaji; Kiyoshi Izumi; Hiroyasu Matsushima (ICDM Workshops, 2019)

Extraction of Volitional Utterances from Japanese Local Political Corpus. - Hiroki Sakaji; Yasutomo Kimura; Kiyoshi Izumi; Hiroyasu Matsushima (ICDM Workshops, 2019)

Stock Price Analysis Using Combination of Analyst Reports and Several Documents. - Masahiro Suzuki 004; Toshiya Katagi; Hiroki Sakaji; Kiyoshi Izumi; Yasushi Ishikawa (ICDM Workshops, 2019)

Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting. - Iwao Maeda; Hiroyasu Matsushima; Hiroki Sakaji; Kiyoshi Izumi; David deGraw; Atsuo Kato; Michiharu Kitano (IIAI-AAI, 2019)

Economic Causal Chain and Predictable Stock Returns. - Kei Nakagawa; Shingo Sashida; Hiroki Sakaji; Kiyoshi Izumi (IIAI-AAI, 2019)

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods. - Yoshiyuki Suimon; Hiroki Sakaji; Takashi Shimada; Kiyoshi Izumi; Hiroyasu Matsushima (IIAI-AAI, 2019)

The Extraction of the Future-Oriented Sentences from Annual Reports. - Yoshinori Tanaka; Syunya Kodera; Fumihito Sato; Hiroki Sakaji; Kiyoshi Izumi (IIAI-AAI, 2019)

Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market. - Kyoto Yono; Kiyoshi Izumi; Hiroki Sakaji; Hiroyasu Matsushima; Takashi Shimada (IIAI-AAI, 2019)

Economic Causal-Chain Search Using Text Mining Technology. - Kiyoshi Izumi; Hiroki Sakaji (IJCAI, 2019)

Segment Information Extraction from Financial Annual Reports Using Neural Network. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi (JSAI, 2019)

Card Price Prediction of Trading Cards Using Machine Learning Methods. - Hiroki Sakaji; Akio Kobayashi; Masaki Kohana; Yasunao Takano; Kiyoshi Izumi (NBiS, 2019)

Chain Bankruptcy Simulation Considering Investment from Banks to Companies. - Ryo Hamawaki; Jun'ichi Ozaki; Kiyoshi Izumi; Takashi Shimada; Hiroki Sakaji; Hiroyasu Matsushima (SMC, 2019)

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. - Kei Nakagawa; Tomoki Ito; Masaya Abe; Kiyoshi Izumi (CoRR, 2019)

Related Stocks Selection with Data Collaboration Using Text Mining. - Masanori Hirano 001; Hiroki Sakaji; Shoko Kimura; Kiyoshi Izumi; Hiroyasu Matsushima; Shintaro Nagao; Atsuo Kato (Inf., 2019)

Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure. - Ryo Hamawaki; Kiyoshi Izumi; Hiroki Sakaji; Takashi Shimada; Hiroyasu Matsushima (J. Comput. Soc. Sci., 2019)

Word-Level Contextual Sentiment Analysis with Interpretability. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (AAAI, 2020)

Verification of Data Similarity using Metadata on a Data Exchange Platform. - Hiroki Sakaji; Teruaki Hayashi; Kiyoshi Izumi; Yukio Ohsawa (IEEE BigData, 2020)

Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns. - Yoshiyuki Suimon; Kiyoshi Izumi; Hiroki Sakaji; Takashi Shimada; Hiroyasu Matsushima (IIAI-AAI, 2020)

STBM: Stochastic Trading Behavior Model for Financial Markets. - Masanori Hirano 001; Hiroyasu Matsushima; Kiyoshi Izumi; Hiroki Sakaji (JSAI, 2020)

Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households. - Yasutaka Nishimura; Taichi Shimura; Kiyoshi Izumi; Kiyohito Yoshihara (MABS, 2020)

Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. - Masanori Hirano 001; Hiroyasu Matsushima; Kiyoshi Izumi; Taisei Mukai (PRIMA, 2020)

Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. - Masanori Hirano 001; Hiroyasu Matsushima; Kiyoshi Izumi; Hiroki Sakaji (PRIMA, 2020)

SSNN: Sentiment Shift Neural Network. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (SDM, 2020)

Contextual Sentiment Neural Network for Document Sentiment Analysis. - Tomoki Ito; Kota Tsubouchi; Hiroki Sakaji; Tatsuo Yamashita; Kiyoshi Izumi (Data Sci. Eng., 2020)

GINN: gradient interpretable neural networks for visualizing financial texts. - Tomoki Ito; Hiroki Sakaji; Kiyoshi Izumi; Kota Tsubouchi; Tatsuo Yamashita (Int. J. Data Sci. Anal., 2020)

Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports. - Masahiro Suzuki 004; Hiroki Sakaji; Kiyoshi Izumi; Hiroyasu Matsushima; Yasushi Ishikawa (Inf., 2020)

Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. - Masanori Hirano 001; Kiyoshi Izumi; Hiroyasu Matsushima; Hiroki Sakaji (J. Artif. Soc. Soc. Simul., 2020)

Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. - Hiroki Sakaji; Teruaki Hayashi; Yoshiaki Fukami; Takumi Shimizu; Hiroyasu Matsushima; Kiyoshi Izumi (IEEE BigData, 2021)

Market Trend Analysis Using Polarity Index Generated from Analyst Reports. - Rei Taguchi; Hikaru Watanabe; Masanori Hirano 001; Masahiro Suzuki 004; Hiroki Sakaji; Kiyoshi Izumi; Kenji Hiramatsu (IEEE BigData, 2021)

Implementation of Actual Data for Artificial Market Simulation. - Masanori Hirano 001; Kiyoshi Izumi; Hiroki Sakaji (AAMAS, 2022)

Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning. - Masanori Hirano 001; Kiyoshi Izumi (BESC, 2022)

Investigation on effect of excess buy orders using agent-based model. - Yoshito Noritake; Takanobu Mizuta; Ryuta Hemmi; Shota Nagumo; Kiyoshi Izumi (BESC, 2022)

Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. - Naoto Minakawa; Kiyoshi Izumi; Hiroki Sakaji (IEEE Big Data, 2022)

Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. - Hiroki Sakaji; Masahiro Suzuki 004; Kiyoshi Izumi; Hiroyuki Mitsugi (IEEE Big Data, 2022)

The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. - Yoshiyuki Suimon; Hiroto Tanabe; Kiyoshi Izumi (IEEE Big Data, 2022)

SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. - Rei Taguchi; Hiroki Sakaji; Kiyoshi Izumi (IEEE Big Data, 2022)

Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift. - Yuya Takada; Kiyoshi Izumi (IEEE Big Data, 2022)

SETN: Stock Embedding Enhanced with Textual and Network Information. - Takehiro Takayanagi; Hiroki Sakaji; Kiyoshi Izumi (IEEE Big Data, 2022)

Concept and Practice of Artificial Market Data Mining Platform. - Masanori Hirano 001; Hiroki Sakaji; Kiyoshi Izumi (CIFEr, 2022)

Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network. - Masanori Hirano 001; Kiyoshi Izumi (ICA, 2022)

Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning. - Masanori Hirano 001; Kiyoshi Izumi (IIAI-AAI-Winter, 2022)

Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations. - Masanori Hirano 001; Ryo Wakasugi; Kiyoshi Izumi (IIAI-AAI, 2022)

Transaction Prediction by Using Graph Neural Network and Textual Industry Information. - Naoto Minakawa; Kiyoshi Izumi; Hiroki Sakaji; Hitomi Sano (JSAI-isAI Workshops, 2022)

Proposal for Turning Point Detection Method Using Financial Text and Transformer. - Rei Taguchi; Hikaru Watanabe; Hiroki Sakaji; Kiyoshi Izumi; Kenji Hiramatsu (JSAI-isAI Workshops, 2022)

Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market. - Masanori Hirano 001; Kiyoshi Izumi (PRIMA, 2022)

Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations. - Masanori Hirano 001; Ryo Wakasugi; Kiyoshi Izumi (PRIMA, 2022)

Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information. - Naoto Minakawa; Kiyoshi Izumi; Hiroki Sakaji; Hitomi Sano (WWW (Companion Volume), 2022)

Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles. - Masahiro Suzuki 004; Hiroki Sakaji; Kiyoshi Izumi; Yasushi Ishikawa (Frontiers Artif. Intell., 2022)

Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models. - Rei Taguchi; Hikaru Watanabe; Hiroki Sakaji; Kiyoshi Izumi; Kenji Hiramatsu (Frontiers Artif. Intell., 2022)

STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers. - Masanori Hirano 001; Kiyoshi Izumi; Hiroki Sakaji (New Gener. Comput., 2022)

Impact Analysis of Social Events on Industries through Narrative Causal Search. - Ryotaro Kobayashi; Yuri Murayama; Kiyoshi Izumi (IEEE Big Data, 2023)

Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. - Takehiro Takayanagi; Kiyoshi Izumi (IEEE Big Data, 2023)

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. - Masanori Hirano 001; Hiroki Sakaji; Kiyoshi Izumi (IIAI-AAI, 2023)

Frequent Batch Auctions investigated by Agent-Based Model. - Takanobu Mizuta; Kiyoshi Izumi (IIAI-AAI, 2023)

Summarization of Investment Reports Using Pre-trained Model. - Hiroki Sakaji; Ryotaro Kobayashi; Kiyoshi Izumi; Hiroyuki Mitsugi; Wataru Kuramoto (IIAI-AAI, 2023)

Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT. - Shingo Sashida; Kiyoshi Izumi; Hiroki Sakaji (IIAI-AAI, 2023)

Using weather-based machine learning approach to estimate retail sales and interpret weather factors. - Yoshiyuki Suimon; Hiroto Tanabe; Kiyoshi Izumi (IIAI-AAI, 2023)

Export Nowcasting with AIS and Foot Traffic Data. - Tsubasa Ueda; Takehide Hirose; Kiyoshi Izumi (IIAI-AAI, 2023)

Personalized Dynamic Recommender System for Investors. - Takehiro Takayanagi; Chung-Chi Chen 001; Kiyoshi Izumi (SIGIR, 2023)

Personalized Stock Recommendation with Investors' Attention and Contextual Information. - Takehiro Takayanagi; Kiyoshi Izumi; Atsuo Kato; Naoyuki Tsunedomi; Yukina Abe (SIGIR, 2023)

PAMS: Platform for Artificial Market Simulations. - Masanori Hirano 001; Ryosuke Takata; Kiyoshi Izumi (CoRR, 2023)

Constructing and analyzing domain-specific language model for financial text mining. - Masahiro Suzuki 004; Hiroki Sakaji; Masanori Hirano 001; Kiyoshi Izumi (Inf. Process. Manag., 2023)

Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning. - Masanori Hirano 001; Kiyoshi Izumi (World Wide Web (WWW), 2023)

Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits. - Takehiro Takayanagi; Kiyoshi Izumi (IEICE Trans. Inf. Syst., 2023)

Financial Causality Extraction Based on Universal Dependencies and Clue Expressions. - Hiroki Sakaji; Kiyoshi Izumi (New Gener. Comput., 2023)

Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. - Rei Taguchi; Hiroki Sakaji; Kiyoshi Izumi; Yuri Murayama (New Gener. Comput., 2023)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. - Meiyun Wang; Kiyoshi Izumi; Hiroki Sakaji (ACL (Findings), 2024)

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. - Takehiro Takayanagi; Masahiro Suzuki 004; Ryotaro Kobayashi; Hiroki Sakaji; Kiyoshi Izumi (IEEE Big Data, 2024)

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models. - Meiyun Wang; Masahiro Suzuki 004; Hiroki Sakaji; Kiyoshi Izumi (CoRR, 2024)

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions? - Takehiro Takayanagi; Hiroya Takamura; Kiyoshi Izumi; Chung-Chi Chen 001 (CoRR, 2024)

Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications. - Takehiro Takayanagi; Kiyoshi Izumi (New Gener. Comput., 2024)

Firm Default Prediction by GNN with Gravity-Model Informed Neighbor Node Sampling. - Naoto Minakawa; Kiyoshi Izumi; Yuri Murayama; Hiroki Sakaji (Rev. Socionetwork Strateg., 2024)

Improvement and Analysis of Peak Shift Demand Response Scenarios of Industrial Consumers Using an Electricity Market Model. - Long Cheng; Kiyoshi Izumi; Masanori Hirano 001 (New Gener. Comput., 2024)

FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. - Takehiro Takayanagi; Masahiro Suzuki 004; Kiyoshi Izumi; Javier Sanz-Cruzado; Richard McCreadie; Iadh Ounis (ECIR (5), 2025)

CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. - Yuki Tanaka; Ryuji Hashimoto; Takehiro Takayanagi; Zhe Piao; Yuri Murayama; Kiyoshi Izumi (IJCAI, 2025)

Can GPT-4 Sway Experts' Investment Decisions? - Takehiro Takayanagi; Hiroya Takamura; Kiyoshi Izumi; Chung-Chi Chen 001 (NAACL (Findings), 2025)

Are Generative AI Agents Effective Personalized Financial Advisors? - Takehiro Takayanagi; Kiyoshi Izumi; Javier Sanz-Cruzado; Richard McCreadie; Iadh Ounis (SIGIR, 2025)

Emulating fundamental analysts: Analytical stage-based multi-agent framework enhanced with expert guidance and Preference-Anchored Likelihood Adjustment. - Tao Xu 023; Zhe Piao; Tadashi Mukai; Yuri Murayama; Kiyoshi Izumi (Intell. Syst. Appl., 2025)

Can large language models autonomously generate unique and profound insights in fundamental analysis? - Tao Xu 023; Zhe Piao; Tadashi Mukai; Yuri Murayama; Kiyoshi Izumi (Intell. Syst. Appl., 2025)

CausalEnhance: knowledge-enhanced pre-training for causality identification and extraction. - Meiyun Wang; Kiyoshi Izumi; Hiroki Sakaji (Knowl. Based Syst., 2025)

The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making. - Takehiro Takayanagi; Ryuji Hashimoto; Chung-Chi Chen 001; Kiyoshi Izumi (CoRR, 2025)

Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach. - Miyuki Matsumoto; Ryuji Hashimoto; Masahiro Suzuki 004; Yuri Murayama; Kiyoshi Izumi (J. Comput. Soc. Sci., 2025)

Agent-Based Simulation of a Financial Market with Large Language Models. - Ryuji Hashimoto; Takehiro Takayanagi; Masahiro Suzuki 004; Kiyoshi Izumi (CoRR, 2025)