Kiyoshi Izumi - RankMe

156 papers A* 8A 6B 18C 5Misc 1Journal 52Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic Environments. CoRR Ryuji Hashimoto, Masahiro Kaneko, Ryosuke Takata, Takehiro Takayanagi, Kiyoshi Izumi
2026	J	`jnl`	LLM agents reveal how human bias shapes path-dependent market dynamics. J. Comput. Soc. Sci. Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi
2025	B	`conf`	Agent-Based Simulation of a Financial Market with Large Language Models. PRIMA Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi
2025	J	`jnl`	Agent-Based Simulation of a Financial Market with Large Language Models. CoRR Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi
2025	A*	`conf`	Are Generative AI Agents Effective Personalized Financial Advisors? SIGIR Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	J	`jnl`	Are Generative AI Agents Effective Personalized Financial Advisors? CoRR Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	—	`conf`	Can GPT-4 Sway Experts' Investment Decisions? NAACL (Findings) Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, Chung-Chi Chen
2025	J	`jnl`	Can large language models autonomously generate unique and profound insights in fundamental analysis? Intell. Syst. Appl. Tao Xu, Zhe Piao, Tadashi Mukai, Yuri Murayama, Kiyoshi Izumi
2025	J	`jnl`	CausalEnhance: knowledge-enhanced pre-training for causality identification and extraction. Knowl. Based Syst. Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2025	A*	`conf`	CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation. IJCAI Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, Kiyoshi Izumi
2025	J	`jnl`	Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences. CoRR Ryuji Hashimoto, Ryosuke Takata, Masahiro Suzuki, Yuki Tanaka, Kiyoshi Izumi
2025	J	`jnl`	Emulating fundamental analysts: Analytical stage-based multi-agent framework enhanced with expert guidance and Preference-Anchored Likelihood Adjustment. Intell. Syst. Appl. Tao Xu, Zhe Piao, Tadashi Mukai, Yuri Murayama, Kiyoshi Izumi
2025	—	`conf`	FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. ECIR (5) Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	J	`jnl`	Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach. J. Comput. Soc. Sci. Miyuki Matsumoto, Ryuji Hashimoto, Masahiro Suzuki, Yuri Murayama, Kiyoshi Izumi
2025	—	`conf`	Interpretable Market Simulations via Optimal Transport: Power Law Decomposition and Implications for Market Design. ICAIF Ryuji Hashimoto, Kiyoshi Izumi
2025	—	`conf`	Norm-Salvaged Embedding: Improving Condition Alignment of Synthetic Time Series Generation in Finance. ICAIF Ryuji Hashimoto, Yuki Tanaka, Takehiro Takayanagi, Zhe Piao, Kiyoshi Izumi
2025	J	`jnl`	The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making. CoRR Takehiro Takayanagi, Ryuji Hashimoto, Chung-Chi Chen, Kiyoshi Izumi
2024	J	`jnl`	Beyond Turing Test: Can GPT-4 Sway Experts' Decisions? CoRR Takehiro Takayanagi, Hiroya Takamura, Kiyoshi Izumi, Chung-Chi Chen
2024	J	`jnl`	Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. CoRR Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji
2024	J	`jnl`	Discovery of Rare Causal Knowledge from Financial Statement Summaries. CoRR Hiroki Sakaji, Jason Bennett, Risa Murono, Kiyoshi Izumi, Hiroyuki Sakai
2024	J	`jnl`	Firm Default Prediction by GNN with Gravity-Model Informed Neighbor Node Sampling. Rev. Socionetwork Strateg. Naoto Minakawa, Kiyoshi Izumi, Yuri Murayama, Hiroki Sakaji
2024	J	`jnl`	Improvement and Analysis of Peak Shift Demand Response Scenarios of Industrial Consumers Using an Electricity Market Model. New Gener. Comput. Long Cheng, Kiyoshi Izumi, Masanori Hirano
2024	J	`jnl`	Incorporating Domain-Specific Traits into Personality-Aware Recommendations for Financial Applications. New Gener. Comput. Takehiro Takayanagi, Kiyoshi Izumi
2024	J	`jnl`	Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models. CoRR Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi
2024	B	`conf`	Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. IEEE Big Data Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi
2024	J	`jnl`	Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. CoRR Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi
2024	—	`conf`	LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. ACL (Findings) Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2024	J	`jnl`	LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. CoRR Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2024	J	`jnl`	SETN: Stock Embedding Enhanced with Textual and Network Information. CoRR Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
2024	J	`jnl`	SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. CoRR Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi
2024	J	`jnl`	Summarization of Investment Reports Using Pre-trained Model. CoRR Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto
2023	J	`jnl`	Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. New Gener. Comput. Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi, Yuri Murayama
2023	J	`jnl`	Constructing and analyzing domain-specific language model for financial text mining. Inf. Process. Manag. Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, Kiyoshi Izumi
2023	J	`jnl`	Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits. IEICE Trans. Inf. Syst. Takehiro Takayanagi, Kiyoshi Izumi
2023	—	`conf`	Export Nowcasting with AIS and Foot Traffic Data. IIAI-AAI Tsubasa Ueda, Takehide Hirose, Kiyoshi Izumi
2023	—	`conf`	Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT. IIAI-AAI Shingo Sashida, Kiyoshi Izumi, Hiroki Sakaji
2023	J	`jnl`	Financial Causality Extraction Based on Universal Dependencies and Clue Expressions. New Gener. Comput. Hiroki Sakaji, Kiyoshi Izumi
2023	—	`conf`	Frequent Batch Auctions investigated by Agent-Based Model. IIAI-AAI Takanobu Mizuta, Kiyoshi Izumi
2023	B	`conf`	Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. IEEE Big Data Takehiro Takayanagi, Kiyoshi Izumi
2023	B	`conf`	Impact Analysis of Social Events on Industries through Narrative Causal Search. IEEE Big Data Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi
2023	J	`jnl`	Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning. World Wide Web (WWW) Masanori Hirano, Kiyoshi Izumi
2023	J	`jnl`	PAMS: Platform for Artificial Market Simulations. CoRR Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi
2023	A*	`conf`	Personalized Dynamic Recommender System for Investors. SIGIR Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi
2023	A*	`conf`	Personalized Stock Recommendation with Investors' Attention and Contextual Information. SIGIR Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe
2023	—	`conf`	Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. IIAI-AAI Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
2023	—	`conf`	Summarization of Investment Reports Using Pre-trained Model. IIAI-AAI Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto
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	B	`conf`	Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations. PRIMA Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
2022	—	`conf`	Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations. IIAI-AAI Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
2022	B	`conf`	Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. IEEE Big Data Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji
2022	—	`conf`	Concept and Practice of Artificial Market Data Mining Platform. CIFEr Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
2022	J	`jnl`	Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models. Frontiers Artif. Intell. Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
2022	B	`conf`	Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market. PRIMA Masanori Hirano, Kiyoshi Izumi
2022	—	`conf`	Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning. IIAI-AAI-Winter Masanori Hirano, Kiyoshi Izumi
2022	J	`jnl`	Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles. Frontiers Artif. Intell. Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa
2022	B	`conf`	Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. IEEE Big Data Hiroki Sakaji, Masahiro Suzuki, Kiyoshi Izumi, Hiroyuki Mitsugi
2022	—	`conf`	Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information. WWW (Companion Volume) Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano
2022	A	`conf`	Implementation of Actual Data for Artificial Market Simulation. AAMAS Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
2022	B	`conf`	Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift. IEEE Big Data Yuya Takada, Kiyoshi Izumi
2022	—	`conf`	Investigation on effect of excess buy orders using agent-based model. BESC Yoshito Noritake, Takanobu Mizuta, Ryuta Hemmi, Shota Nagumo, Kiyoshi Izumi
2022	—	`conf`	Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning. BESC Masanori Hirano, Kiyoshi Izumi
2022	J	`jnl`	Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. CoRR Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
2022	—	`conf`	Proposal for Turning Point Detection Method Using Financial Text and Transformer. JSAI-isAI Workshops Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
2022	—	`conf`	Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network. ICA Masanori Hirano, Kiyoshi Izumi
2022	B	`conf`	SETN: Stock Embedding Enhanced with Textual and Network Information. IEEE Big Data Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
2022	B	`conf`	SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. IEEE Big Data Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi
2022	J	`jnl`	STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers. New Gener. Comput. Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
2022	B	`conf`	The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. IEEE Big Data Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi
2022	—	`conf`	Transaction Prediction by Using Graph Neural Network and Textual Industry Information. JSAI-isAI Workshops Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano
2021	—	`conf`	Market Trend Analysis Using Polarity Index Generated from Analyst Reports. IEEE BigData Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
2021	—	`conf`	Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. IEEE BigData Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima, Kiyoshi Izumi
2020	J	`jnl`	Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. J. Artif. Soc. Soc. Simul. Masanori Hirano, Kiyoshi Izumi, Hiroyasu Matsushima, Hiroki Sakaji
2020	J	`jnl`	Contextual Sentiment Neural Network for Document Sentiment Analysis. Data Sci. Eng. Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2020	C	`conf`	Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households. MABS Yasutaka Nishimura, Taichi Shimura, Kiyoshi Izumi, Kiyohito Yoshihara
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
2020	J	`jnl`	Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports. Inf. Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima, Yasushi Ishikawa
2020	J	`jnl`	GINN: gradient interpretable neural networks for visualizing financial texts. Int. J. Data Sci. Anal. Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2020	B	`conf`	Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. PRIMA Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
2020	A	`conf`	SSNN: Sentiment Shift Neural Network. SDM Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2020	—	`conf`	STBM: Stochastic Trading Behavior Model for Financial Markets. JSAI Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
2020	B	`conf`	Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. PRIMA Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai
2020	—	`conf`	Verification of Data Similarity using Metadata on a Data Exchange Platform. IEEE BigData Hiroki Sakaji, Teruaki Hayashi, Kiyoshi Izumi, Yukio Ohsawa
2020	A*	`conf`	Word-Level Contextual Sentiment Analysis with Interpretability. AAAI Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2019	—	`conf`	Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market. IIAI-AAI Kyoto Yono, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada
2019	A*	`conf`	CSNN: Contextual Sentiment Neural Network. ICDM Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita
2019	—	`conf`	Card Price Prediction of Trading Cards Using Machine Learning Methods. NBiS Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
2019	—	`conf`	Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. ICDM Workshops Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima
2019	B	`conf`	Chain Bankruptcy Simulation Considering Investment from Banks to Companies. SMC Ryo Hamawaki, Jun'ichi Ozaki, Kiyoshi Izumi, Takashi Shimada, Hiroki Sakaji, Hiroyasu Matsushima
2019	J	`jnl`	Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure. J. Comput. Soc. Sci. Ryo Hamawaki, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima
2019	J	`jnl`	Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. CoRR Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi
2019	—	`conf`	Economic Causal Chain and Predictable Stock Returns. IIAI-AAI Kei Nakagawa, Shingo Sashida, Hiroki Sakaji, Kiyoshi Izumi
2019	A*	`conf`	Economic Causal-Chain Search Using Text Mining Technology. IJCAI Kiyoshi Izumi, Hiroki Sakaji
2019	—	`conf`	Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting. IIAI-AAI Iwao Maeda, Hiroyasu Matsushima, Hiroki Sakaji, Kiyoshi Izumi, David deGraw, Atsuo Kato, Michiharu Kitano
2019	B	`conf`	Estimation of Tags Using Various Data for Online Videos. AINA Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
2019	—	`conf`	Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction. CIFEr Kyoto Yono, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada
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`	Extraction of Volitional Utterances from Japanese Local Political Corpus. ICDM Workshops Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi, Hiroyasu Matsushima
2019	B	`conf`	Forecasting Crypto-Asset Price Using Influencer Tweets. AINA Hirofumi Yamamoto, Hiroki Sakaji, Hiroyasu Matsushima, Yuki Yamashita, Kyohei Osawa, Kiyoshi Izumi, Takashi Shimada
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
2019	J	`jnl`	Related Stocks Selection with Data Collaboration Using Text Mining. Inf. Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato
2019	—	`conf`	Segment Information Extraction from Financial Annual Reports Using Neural Network. JSAI Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
2019	—	`conf`	Short-term Stock Price Prediction by Analysis of Order Pattern Images. CIFEr Atsuki Nakayama, Kiyoshi Izumi, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada, Kenta Yamada
2019	—	`conf`	Stock Price Analysis Using Combination of Analyst Reports and Several Documents. ICDM Workshops Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa
2019	—	`conf`	The Extraction of the Future-Oriented Sentences from Annual Reports. IIAI-AAI Yoshinori Tanaka, Syunya Kodera, Fumihito Sato, Hiroki Sakaji, Kiyoshi Izumi
2019	—	`conf`	Word-level Sentiment Visualizer for Financial Documents. CIFEr Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
2018	J	`jnl`	Roadmap and research issues of multiagent social simulation using high-performance computing. J. Comput. Soc. Sci. Itsuki Noda, Nobuyasu Ito, Kiyoshi Izumi, Hideki Mizuta, Tomio Kamada, Hiromitsu Hattori
2018	—	`conf`	Selection of Related Stocks using Financial Text Mining. ICDM Workshops Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato
2018	—	`conf`	Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. PAKDD (3) Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita
2017	—	`conf`	Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. ICDM Workshops Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2017	—	`conf`	Development of sentiment indicators using both unlabeled and labeled posts. SSCI Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2017	—	`conf`	Discovery of rare causal knowledge from financial statement summaries. SSCI Hiroki Sakaji, Risa Murono, Hiroyuki Sakai, Jason Bennett, Kiyoshi Izumi
2017	—	`conf`	Extracting Laboratory Front Pages from University Websites. NBiS Hiroki Sakaji, Atsuya Miyazaki, Hiroyuki Sakai, Kiyoshi Izumi
2017	J	`jnl`	Platform design for large-scale artificial market simulation and preliminary evaluation on the K computer. Artif. Life Robotics Takuma Torii, Tomio Kamada, Kiyoshi Izumi, Kenta Yamada
2016	—	`conf`	Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model. SSCI Takanobu Mizuta, Yoshito Noritake, Satoshi Hayakawa, Kiyoshi Izumi
2016	J	`jnl`	Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations. Intell. Syst. Account. Finance Manag. Takanobu Mizuta, Shintaro Kosugi, Takuya Kusumoto, Wataru Matsumoto, Kiyoshi Izumi, Isao Yagi, Shinobu Yoshimura
2016	B	`conf`	Polarity propagation of financial terms for market trend analyses using news articles. CEC Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita
2015	—	`conf`	Roadmap for Multiagent Social Simulation on HPC. WI-IAT (3) Itsuki Noda, Nobuyasu Ito, Kiyoshi Izumi, Tomohisa Yamashita, Hideki Mizuta, Tomio Kamada, Yohsuke Murase, Sachiko Yoshihama, Hiromitsu Hattori
2014	J	`jnl`	Analysis of an Option Market Dynamics Based on a Heterogeneous Agent Model. Intell. Syst. Account. Finance Manag. Saki Kawakubo, Kiyoshi Izumi, Shinobu Yoshimura
2014	J	`jnl`	Change Detection of Orders in Stock Markets using a Gaussian Mixture Model. Intell. Syst. Account. Finance Manag. Bungo Miyazaki, Kiyoshi Izumi, Fujio Toriumi, Ryo Takahashi
2014	—	`conf`	Do dark pools stabilize markets and reduce market impacts? Investigations using multi-agent simulations. CIFEr Takanobu Mizuta, Wataru Matsumoto, Shintaro Kosugi, Kiyoshi Izumi, Takuya Kusumoto, Shinobu Yoshimura
2014	J	`jnl`	How Does High Frequency Risk Hedge Activity Have an Affect on Underlying Market?: Analysis by Artificial Market Model. J. Adv. Comput. Intell. Intell. Informatics Saki Kawakubo, Kiyoshi Izumi, Shinobu Yoshimura
2014	—	`conf`	Regulations' effectiveness for market turbulence by large erroneous orders using multi agent simulation. CIFEr Takanobu Mizuta, Kiyoshi Izumi, Isao Yagi, Shinobu Yoshimura
2013	—	`conf`	Price variation limits and financial market bubbles: Artificial market simulations with agents' learning process. CIFEr Takanobu Mizuta, Kiyoshi Izumi, Shinobu Yoshimura
2012	—	`conf`	A study on the reversal mechanism for large stock price declines using artificial markets. CIFEr Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi
2011	—	`conf`	Compound Reinforcement Learning: Theory and an Application to Finance. EWRL Tohgoroh Matsui, Takashi Goto, Kiyoshi Izumi, Yu Chen
2011	J	`jnl`	Risk Evaluation by Human Trajectory Simulation Based on Real Data. J. Adv. Comput. Intell. Intell. Informatics Kiyoshi Izumi, Yoshifumi Nishida, Yoichi Motomura
2011	J	`jnl`	Social and Group Simulation Based on Real Data Analysis. J. Adv. Comput. Intell. Intell. Informatics Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori, Nariaki Nishino, Itsuki Noda
2010	—	`conf`	A Study on the Effectiveness of Short-Selling Regulation in View of Regulation Period Using Artificial Markets. ACIS-ICIS Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi
2010	—	`conf`	Surgical Workflow Monitoring Based on Trajectory Data Mining. JSAI-isAI Workshops Atsushi Nara, Kiyoshi Izumi, Hiroshi Iseki, Takashi Suzuki, Kyojiro Nambu, Yasuo Sakurai
2010	—	`conf`	Trading Tests of Long-Term Market Forecast by Text Mining. ICDM Workshops Kiyoshi Izumi, Takashi Goto, Tohgoroh Matsui
2009	—	`conf`	A Study on the Market Impact of Short-Selling Regulation Using Artificial Markets. PRIMA Workshops Isao Yagi, Takanobu Mizuta, Kiyoshi Izumi
2009	J	`jnl`	Acquiring a Government Bond Trading Strategy Using Reinforcement Learning. J. Adv. Comput. Intell. Intell. Informatics Tohgoroh Matsui, Takashi Goto, Kiyoshi Izumi
2009	J	`jnl`	Evaluation of automated-trading strategies using an artificial market. Neurocomputing Kiyoshi Izumi, Fujio Toriumi, Hiroki Matsui
2009	—	`conf`	Market Participant Estimation by Using Artificial Market. PRIMA Workshops Fujio Toriumi, Kiyoshi Izumi, Hiroki Matsui
2007	C	`conf`	A Self-Impact Analysis by Artificial Market Simulation. CIDM Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
2007	A*	`conf`	Inferring Long-term User Properties Based on Users' Location History. IJCAI Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideyuki Nakashima
2007	J	`jnl`	Integration of artificial market simulation and text mining for market analysis. Soft Comput. Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
2007	A	`conf`	Socially embedded multi agent based simulation of financial market. AAMAS Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
2006	—	`conf`	Integration of Artificial Market Simulation and Text Mining for Market Analysis. ICHIT Kiyoshi Izumi, Hiroki Matsui, Yutaka Matsuo
2005	—	`conf`	Agent Network Dynamics and Intelligence (ANDI 2005). JSAI Workshops Satoshi Kurihara, Kiyoshi Izumi
2005	—	`ch.`	Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion. Applications of Agent Technology in Traffic and Transportation Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
2005	J	`jnl`	Development of an artificial market model based on a field study. Inf. Sci. Kiyoshi Izumi, Shigeo Nakamura, Kazuhiro Ueda
2005	—	`conf`	Information Sharing for Smooth Traffic in Road Networks. JSAI Workshops Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
2005	A	`conf`	Smooth traffic flow with a cooperative car navigation system. AAMAS Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani, Hideyuki Nakashima
2004	C	`conf`	An Investigation into the Use of Group Dynamics for Solving Social Dilemmas. MABS Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
2004	—	`conf`	Analysis of Efficiency and Accuracy of Learning in Minority Games. JSAI Workshops Kiyoshi Izumi
2004	A	`conf`	Analysis of Efficiency and Accuracy of Learning in Minoriy Games. AAMAS Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani
2004	C	`conf`	Analysis of Learning Types in an Artificial Market. MABS Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani
2004	A	`conf`	Investigation of Reduction of Traffic Congestion with Route Information Sharing. AAMAS Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
2003	—	`conf`	Effect of Using Route Information Sharing to Reduce Traffic Congestion. MAMUS Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
2002	—	`conf`	Identification of Agents' Strategy Making Process by an Experimental Market. JCIS Kiyoshi Izumi, Shigeo Nakamura, Kazuhiro Ueda
2001	—	`conf`	Complexity of Agents and Complexity of Markets. JSAI Workshops Kiyoshi Izumi
2001	J	`jnl`	Phase transition in a foreign exchange market-analysis based on an artificial market approach. IEEE Trans. Evol. Comput. Kiyoshi Izumi, Kazuhiro Ueda
2000	C	`conf`	Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data. IDEAL Kiyoshi Izumi, Kazuhiro Ueda
1999	Misc	`conf`	Analysis of Exchange Rate Scenarios Using an Artificial Market Approach. IC-AI Kiyoshi Izumi, Kazuhiro Ueda
1996	—	`conf`	An Artificial Market Analysis of Exchange Rate Dynamics. Evolutionary Programming Kiyoshi Izumi, Takashi Okatsu