Impingement type micro fluidic device using electro-conjugate fluid. - Kei Nakagawa; Kento Mori; Kenjiro Takemura; Shinichi Yokota; Kazuya Edamura (MHS, 2012)

Inhibition of somatosensory-evoked cortical responses by a weak leading stimulus. - Kei Nakagawa; Koji Inui; Louis Yuge; Ryusuke Kakigi (NeuroImage, 2014)

Change-related auditory P50: A MEG study. - Kei Nakagawa; Naofumi Otsuru; Koji Inui; Ryusuke Kakigi (NeuroImage, 2014)

Stock Price Prediction with Fluctuation Patterns Using Indexing Dynamic Time Warping and k^* -Nearest Neighbors. - Kei Nakagawa; Mitsuyoshi Imamura; Kenichi Yoshida (JSAI-isAI Workshops, 2017)

Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation. - Kei Nakagawa; Takumi Uchida; Tomohisa Aoshima (MIDAS/PAP@PKDD/ECML, 2018)

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

Verification of Lead-Lag Effect in Financial Markets by the Adaptive Elastic Net Regression. - Yusuke Uchiyama; Takanori Kadoya; Kei Nakagawa (IIAI-AAI, 2019)

Deep Learning for Multi-factor Models in Regional and Global Stock Markets. - Masaya Abe; Kei Nakagawa (JSAI-isAI Workshops, 2019)

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

A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. - Kei Nakagawa; Masaya Abe; Junpei Komiyama (CoRR, 2019)

Complex Valued Risk Diversification. - Yusuke Uchiyama; Takanori Kadoya; Kei Nakagawa (Entropy, 2019)

How Do We Predict Stock Returns in the Cross-Section with Machine Learning? - Masaya Abe; Kei Nakagawa (AICCC, 2020)

Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management. - Masaya Abe; Kei Nakagawa (ASSE, 2020)

RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. - Kei Nakagawa; Masaya Abe; Junpei Komiyama (DSAA, 2020)

What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining. - Kei Nakagawa; Shingo Sashida; Ryozo Kitajima; Hiroyuki Sakai 003 (IIAI-AAI, 2020)

RM-CVaR: Regularized Multiple β-CVaR Portfolio. - Kei Nakagawa; Shuhei Noma; Masaya Abe (IJCAI, 2020)

Identification of B2B Brand Components and Their Performance's Relevance Using a Business Card Exchange Network. - Tomonori Manabe; Kei Nakagawa; Keigo Hidawa (PKAW, 2020)

TPLVM: Portfolio Construction by Student's t-process Latent Variable Model. - Yusuke Uchiyama; Kei Nakagawa (CoRR, 2020)

Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning. - Masahiro Kato; Kei Nakagawa (CoRR, 2020)

Impact of Cryptocurrency Market Capitalization on Open Source Software Participation. - Naoki Kobayakawa; Mitsuyoshi Imamura; Kei Nakagawa; Kenichi Yoshida (J. Inf. Process., 2020)

Deep Portfolio Optimization via Distributional Prediction of Residual Factors. - Kentaro Imajo; Kentaro Minami; Katsuya Ito; Kei Nakagawa (AAAI, 2021)

Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction. - Katsuya Ito; Kentaro Minami; Kentaro Imajo; Kei Nakagawa (AAMAS, 2021)

Controlling False Discovery Rates Using Null Bootstrapping. - Junpei Komiyama; Masaya Abe; Kei Nakagawa; Kenichiro McAlinn (CoRR, 2021)

Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. - Ruixing Cao; Akifumi Okuno; Kei Nakagawa; Hidetoshi Shimodaira (CoRR, 2021)

Entropy Based Student's t-Process Dynamical Model. - Ayumu Nono; Yusuke Uchiyama; Kei Nakagawa (Entropy, 2021)

Taming Tail Risk: Regularized Multiple β Worst-Case CVaR Portfolio. - Kei Nakagawa; Katsuya Ito (Symmetry, 2021)

Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. - Yugo Fujimoto; Kei Nakagawa; Kentaro Imajo; Kentaro Minami (IEEE Big Data, 2022)

Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. - Kohei Hayashi; Kei Nakagawa (DSAA, 2022)

Enhanced Quantile Portfolio for Multifactor Model with Deep Learning. - Masaya Abe; Kei Nakagawa (IIAI-AAI, 2022)

Multiple Portfolio Blending Strategy with Thompson Sampling. - Keigo Fujishima; Kei Nakagawa (IIAI-AAI, 2022)

Industry Momentum Strategy Based on Text Mining in the Japanese Stock Market. - Yuya Kimura; Kei Nakagawa (IIAI-AAI, 2022)

Investment Strategy via Lead Lag Effect using Economic Causal Chain and SSESTM Model. - Kei Nakagawa; Shingo Sashida; Hiroki Sakaji (IIAI-AAI, 2022)

Time-series gradient boosting tree for stock price prediction. - Kei Nakagawa; Kenichi Yoshida (Int. J. Data Min. Model. Manag., 2022)

Development of Automatic Controlled Walking Assistive Device Based on Fatigue and Emotion Detection. - Yun Fan Li; Yu Kai Gong; Jyun Rong Zhuang; Jun Yan Yang; Keisuke Osawa; Kei Nakagawa; Hee-Hyol Lee; Louis Yuge; Eiichiro Tanaka (J. Robotics Mechatronics, 2022)

Robotic ankle control can provide appropriate assistance throughout the gait cycle in healthy adults. - Kei Nakagawa; Keita Higashi; Akari Ikeda; Naoto Kadono; Eiichiro Tanaka; Louis Yuge (Frontiers Neurorobotics, 2022)

Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data. - Masaki Fujiwara; Yoshiyuki Suimon; Kei Nakagawa (IIAI-AAI, 2023)

Fact or Opinion? - Essential Value for Financial Results Briefing. - Yutaka Kuroki; Tomonori Manabe; Kei Nakagawa (IIAI-AAI, 2023)

Predicting Financial Asset Returns with Factor and Lead-Lag Relationships: Ridge Regression with Lagged Penalty. - Tatsuki Masuda; Kei Nakagawa (IIAI-AAI, 2023)

Multifactor Model with Deep Learning for Currency Investments. - Shingo Sashida; Kei Nakagawa (IIAI-AAI, 2023)

Text Mining of Future Dividend Policy Sentences from Annual Securities Reports. - Kaito Takano; Tomoki Okada; Yusuke Shimizu; Kei Nakagawa (IIAI-AAI, 2023)

Development of an Ankle Assistive Robot with Instantly Gait-Adaptive Method. - Mingyang Xu; Yifan Hua; Yun Fan Li; Jyun Rong Zhuang; Keisuke Osawa; Kei Nakagawa; Hee-Hyol Lee; Louis Yuge; Eiichiro Tanaka (J. Robotics Mechatronics, 2023)

Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models. - Kei Nakagawa; Masanori Hirano 001; Yugo Fujimoto (IEEE Big Data, 2024)

Development and Application of an Exercise-promoting System for the Elderly with a Gait Indicator. - Chang-Wen Wang; Han Zhang; Keisuke Osawa; Kei Nakagawa; Eiichiro Tanaka (CBS, 2024)

Development of the Control Method of a 3-DOF KinematicBiological Matched Hip Joint Structure for Lower Limb Exoskeleton. - Yuntian Wang; Xiuyuan Wu; Yifan Fang; Keisuke Osawa; Kei Nakagawa; Eiichiro Tanaka (ICARM, 2024)

Adaptive Gait Model with Hybrid Control for Mass Production Oriented Exoskeleton. - Chang-Wen Wang; Yuntian Wang; Keisuke Osawa; Kei Nakagawa; Eiichiro Tanaka (ICARM, 2024)

Analysis of Investment Behavior of Individual Investors in the FX Market: Influence of FOMC and Beige Book Information. - Moeko Asano; Yoshihiko Ichikawa; Kei Nakagawa; Kaito Takano (IIAI-AAI, 2024)

Relationship Between Qualitative Expressions in MD&A and Managements' Forecast Accuracy. - Yutaka Kuroki; Kei Nakagawa; Kiyoshi Yakabi (IIAI-AAI, 2024)

Dynamic Dual Sparse Topic Model: Integrating Temporal Dynamics and Sparsity with Spike and Slab Priors into Topic Model. - Tatsuki Masuda; Kei Nakagawa; Takahiro Hoshino (IIAI-AAI, 2024)

Optimal Execution Strategy Using Deep Q-Network with Heuristics Policy. - Tatsuyoshi Ogawa; Kei Nakagawa; Kokolo Ikeda (IIAI-AAI, 2024)

Does Executive Compensation with ESG Target Improve Firm's ESG Performance? - Evidence from Japan. - Dai Yamawaki; Kaito Takano; Kei Nakagawa (IIAI-AAI, 2024)

Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net. - Kei Nakagawa; Kohei Hayashi (IJCNN, 2024)

A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets-A New Microfoundations of GARCH Model. - Kei Nakagawa; Masanori Hirano 001; Kentaro Minami; Takanobu Mizuta (PRIMA, 2024)

CFTM: Continuous time fractional topic model. - Kei Nakagawa; Kohei Hayashi; Yugo Fujimoto (CoRR, 2024)