Kiyoshi Izumi

Orcid: 0000-0003-0870-7310

According to our database1, Kiyoshi Izumi authored at least 124 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis.
CoRR, 2024

2023
Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information.
New Gener. Comput., November, 2023

Financial Causality Extraction Based on Universal Dependencies and Clue Expressions.
New Gener. Comput., November, 2023

Context-Aware Stock Recommendations with Stocks' Characteristics and Investors' Traits.
IEICE Trans. Inf. Syst., October, 2023

Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning.
World Wide Web (WWW), September, 2023

Constructing and analyzing domain-specific language model for financial text mining.
Inf. Process. Manag., 2023

PAMS: Platform for Artificial Market Simulations.
CoRR, 2023

Personalized Stock Recommendation with Investors' Attention and Contextual Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Personalized Dynamic Recommender System for Investors.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Export Nowcasting with AIS and Foot Traffic Data.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Using weather-based machine learning approach to estimate retail sales and interpret weather factors.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Summarization of Investment Reports Using Pre-trained Model.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Frequent Batch Auctions investigated by Agent-Based Model.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem.
Proceedings of the IEEE International Conference on Big Data, 2023

Impact Analysis of Social Events on Industries through Narrative Causal Search.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers.
New Gener. Comput., 2022

Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models.
Frontiers Artif. Intell., 2022

Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles.
Frontiers Artif. Intell., 2022

Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations.
Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market.
Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

Proposal for Turning Point Detection Method Using Financial Text and Transformer.
Proceedings of the New Frontiers in Artificial Intelligence, 2022

Transaction Prediction by Using Graph Neural Network and Textual Industry Information.
Proceedings of the New Frontiers in Artificial Intelligence, 2022

Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning.
Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter, 2022

Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network.
Proceedings of the IEEE International Conference on Agents, 2022

Concept and Practice of Artificial Market Data Mining Platform.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

SETN: Stock Embedding Enhanced with Textual and Network Information.
Proceedings of the IEEE International Conference on Big Data, 2022

Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift.
Proceedings of the IEEE International Conference on Big Data, 2022

SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information.
Proceedings of the IEEE International Conference on Big Data, 2022

The relationship between Twitter sentiment and mobility during the COVID-19 pandemic.
Proceedings of the IEEE International Conference on Big Data, 2022

Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model.
Proceedings of the IEEE International Conference on Big Data, 2022

Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder.
Proceedings of the IEEE International Conference on Big Data, 2022

Investigation on effect of excess buy orders using agent-based model.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Implementation of Actual Data for Artificial Market Simulation.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Market Trend Analysis Using Polarity Index Generated from Analyst Reports.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Comparing Actual and Simulated HFT Traders' Behavior for Agent Design.
J. Artif. Soc. Soc. Simul., 2020

Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports.
Inf., 2020

GINN: gradient interpretable neural networks for visualizing financial texts.
Int. J. Data Sci. Anal., 2020

Contextual Sentiment Neural Network for Document Sentiment Analysis.
Data Sci. Eng., 2020

SSNN: Sentiment Shift Neural Network.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market.
Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets.
Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households.
Proceedings of the Multi-Agent-Based Simulation XXI - 21st International Workshop, 2020

STBM: Stochastic Trading Behavior Model for Financial Markets.
Proceedings of the Advances in Artificial Intelligence, 2020

Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

Verification of Data Similarity using Metadata on a Data Exchange Platform.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Word-Level Contextual Sentiment Analysis with Interpretability.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure.
J. Comput. Soc. Sci., 2019

Related Stocks Selection with Data Collaboration Using Text Mining.
Inf., 2019

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model.
CoRR, 2019

Chain Bankruptcy Simulation Considering Investment from Banks to Companies.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Card Price Prediction of Trading Cards Using Machine Learning Methods.
Proceedings of the Advances in Networked-based Information Systems, 2019

Segment Information Extraction from Financial Annual Reports Using Neural Network.
Proceedings of the Advances in Artificial Intelligence, 2019

Economic Causal-Chain Search Using Text Mining Technology.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

The Extraction of the Future-Oriented Sentences from Annual Reports.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Economic Causal Chain and Predictable Stock Returns.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Stock Price Analysis Using Combination of Analyst Reports and Several Documents.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Extraction of Volitional Utterances from Japanese Local Political Corpus.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

CSNN: Contextual Sentiment Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Short-term Stock Price Prediction by Analysis of Order Pattern Images.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Word-level Sentiment Visualizer for Financial Documents.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Forecasting Crypto-Asset Price Using Influencer Tweets.
Proceedings of the Advanced Information Networking and Applications, 2019

Estimation of Tags Using Various Data for Online Videos.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
Roadmap and research issues of multiagent social simulation using high-performance computing.
J. Comput. Soc. Sci., 2018

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Selection of Related Stocks using Financial Text Mining.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Platform design for large-scale artificial market simulation and preliminary evaluation on the K computer.
Artif. Life Robotics, 2017

Discovery of rare causal knowledge from financial statement summaries.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Development of sentiment indicators using both unlabeled and labeled posts.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Extracting Laboratory Front Pages from University Websites.
Proceedings of the Advances in Network-Based Information Systems, 2017

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations.
Intell. Syst. Account. Finance Manag., 2016

Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Polarity propagation of financial terms for market trend analyses using news articles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Roadmap for Multiagent Social Simulation on HPC.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
How Does High Frequency Risk Hedge Activity Have an Affect on Underlying Market?: Analysis by Artificial Market Model.
J. Adv. Comput. Intell. Intell. Informatics, 2014

Change Detection of Orders in Stock Markets using a Gaussian Mixture Model.
Intell. Syst. Account. Finance Manag., 2014

Analysis of an Option Market Dynamics Based on a Heterogeneous Agent Model.
Intell. Syst. Account. Finance Manag., 2014

Do dark pools stabilize markets and reduce market impacts? Investigations using multi-agent simulations.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Regulations' effectiveness for market turbulence by large erroneous orders using multi agent simulation.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Price variation limits and financial market bubbles: Artificial market simulations with agents' learning process.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013

2012
A study on the reversal mechanism for large stock price declines using artificial markets.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011
Social and Group Simulation Based on Real Data Analysis.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Risk Evaluation by Human Trajectory Simulation Based on Real Data.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Compound Reinforcement Learning: Theory and an Application to Finance.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010
Surgical Workflow Monitoring Based on Trajectory Data Mining.
Proceedings of the New Frontiers in Artificial Intelligence, 2010

Trading Tests of Long-Term Market Forecast by Text Mining.
Proceedings of the ICDMW 2010, 2010

A Study on the Effectiveness of Short-Selling Regulation in View of Regulation Period Using Artificial Markets.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010

2009
Acquiring a Government Bond Trading Strategy Using Reinforcement Learning.
J. Adv. Comput. Intell. Intell. Informatics, 2009

Evaluation of automated-trading strategies using an artificial market.
Neurocomputing, 2009

A Study on the Market Impact of Short-Selling Regulation Using Artificial Markets.
Proceedings of the Advances in Practical Multi-Agent Systems, 2009

Market Participant Estimation by Using Artificial Market.
Proceedings of the Advances in Practical Multi-Agent Systems, 2009

2007
Integration of artificial market simulation and text mining for market analysis.
Soft Comput., 2007

Inferring Long-term User Properties Based on Users' Location History.
Proceedings of the IJCAI 2007, 2007

A Self-Impact Analysis by Artificial Market Simulation.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Socially embedded multi agent based simulation of financial market.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2005
Development of an artificial market model based on a field study.
Inf. Sci., 2005

Information Sharing for Smooth Traffic in Road Networks.
Proceedings of the New Frontiers in Artificial Intelligence, 2005

Agent Network Dynamics and Intelligence (ANDI 2005).
Proceedings of the New Frontiers in Artificial Intelligence, 2005

Smooth traffic flow with a cooperative car navigation system.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion.
Proceedings of the Applications of Agent Technology in Traffic and Transportation, 2005

2004
An Investigation into the Use of Group Dynamics for Solving Social Dilemmas.
Proceedings of the Multi-Agent and Multi-Agent-Based Simulation, 2004

Analysis of Learning Types in an Artificial Market.
Proceedings of the Multi-Agent and Multi-Agent-Based Simulation, 2004

Analysis of Efficiency and Accuracy of Learning in Minority Games.
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

Investigation of Reduction of Traffic Congestion with Route Information Sharing.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

Analysis of Efficiency and Accuracy of Learning in Minoriy Games.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Effect of Using Route Information Sharing to Reduce Traffic Congestion.
Proceedings of the Multi-Agent for Mass User Support, International Workshop, 2003

2002
Identification of Agents' Strategy Making Process by an Experimental Market.
Proceedings of the 6th Joint Conference on Information Science, 2002

2001
Phase transition in a foreign exchange market-analysis based on an artificial market approach.
IEEE Trans. Evol. Comput., 2001

Complexity of Agents and Complexity of Markets.
Proceedings of the New Frontiers in Artificial Intelligence, 2001

2000
Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
Analysis of Exchange Rate Scenarios Using an Artificial Market Approach.
Proceedings of the International Conference on Artificial Intelligence, 1999

1996
An Artificial Market Analysis of Exchange Rate Dynamics.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996


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