| Encoding of high-frequency order information and prediction of short-term stock price by deep learning D Tashiro, H Matsushima, K Izumi, H Sakaji Quantitative Finance 19 (9), 1499-1506, 2019 | 60 | 2019 |
| Extracting causal knowledge using clue phrases and syntactic patterns H Sakaji, S Sekine, S Masuyama International Conference on Practical Aspects of Knowledge Management, 111-122, 2008 | 53 | 2008 |
| Constructing and analyzing domain-specific language model for financial text mining M Suzuki, H Sakaji, M Hirano, K Izumi Information Processing & Management 60 (2), 103194, 2023 | 51 | 2023 |
| 企業の決算短信 PDF からの業績要因の抽出 酒井浩之， 西沢裕子， 松並祥吾， 坂地泰紀 人工知能学会論文誌 30 (1), 172-182, 2015 | 51* | 2015 |
| Automatic extraction of basis expressions that indicate economic trends H Sakaji, H Sakai, S Masuyama Pacific-Asia Conference on Knowledge Discovery and Data Mining, 977-984, 2008 | 48 | 2008 |
| Contextual sentiment neural network for document sentiment analysis T Ito, K Tsubouchi, H Sakaji, T Yamashita, K Izumi Data Science and Engineering 5 (2), 180-192, 2020 | 46 | 2020 |
| 決算短信 PDF からの原因・結果表現の抽出 坂地泰紀， 酒井浩之， 増山繁 電子情報通信学会論文誌 D 98 (5), 811-822, 2015 | 45* | 2015 |
| Deep reinforcement learning in agent based financial market simulation I Maeda, D DeGraw, M Kitano, H Matsushima, H Sakaji, K Izumi, A Kato Journal of Risk and Financial Management 13 (4), 71, 2020 | 43 | 2020 |
| Text-visualizing neural network model: understanding online financial textual data T Ito, H Sakaji, K Tsubouchi, K Izumi, T Yamashita Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 41 | 2018 |
| Economic causal-chain search using text mining technology K Izumi, H Sakaji Artificial Intelligence. IJCAI 2019 International Workshops: Macao, China …, 2020 | 36 | 2020 |
| Discovery of rare causal knowledge from financial statement summaries H Sakaji, R Murono, H Sakai, J Bennett, K Izumi 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 602-608, 2017 | 35 | 2017 |
| Extraction of sentences concerning business performance forecast and economic forecast from summaries of financial statements by deep learning S Kitamori, H Sakai, H Sakaji 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 67-73, 2017 | 31 | 2017 |
| Ginn: gradient interpretable neural networks for visualizing financial texts T Ito, H Sakaji, K Izumi, K Tsubouchi, T Yamashita International Journal of Data Science and Analytics 9 (4), 431-445, 2020 | 23 | 2020 |
| Impact analysis of financial regulation on multi-asset markets using artificial market simulations M Hirano, K Izumi, T Shimada, H Matsushima, H Sakaji Journal of Risk and Financial Management 13 (4), 75, 2020 | 23 | 2020 |
| Creating Japanese political corpus from local assembly minutes of 47 prefectures Y Kimura, K Takamaru, T Tanaka, A Kobayashi, H Sakaji, Y Uchida, ... Proceedings of the 12th Workshop on Asian Language Resources (ALR12), 78-85, 2016 | 23 | 2016 |
| Extraction of effect and technology terms from a patent document (theory and methodology) H Nonaka, A Kobayashi, H Sakaji, Y Suzuki, H Sakao, S Masuyama Journal of Japan Industrial Management Association 63 (2), 105-111, 2012 | 23 | 2012 |
| Forecasting net income estimate and stock price using text mining from economic reports M Suzuki, H Sakaji, K Izumi, H Matsushima, Y Ishikawa Information 11 (6), 292, 2020 | 22 | 2020 |
| Improving document similarity calculation using cosine-similarity graphs Y Takano, Y Iijima, K Kobayashi, H Sakuta, H Sakaji, M Kohana, ... Advanced Information Networking and Applications: Proceedings of the 33rd …, 2020 | 22 | 2020 |
| Autoencoder-based three-factor model for the yield curve of Japanese government bonds and a trading strategy Y Suimon, H Sakaji, K Izumi, H Matsushima Journal of Risk and Financial Management 13 (4), 82, 2020 | 21 | 2020 |
| Financial text data analytics framework for business confidence indices and inter-industry relations H Sakaji, R Kuramoto, H Matsushima, K Izumi, T Shimada, K Sunakawa Proceedings of the First Workshop on Financial Technology and Natural …, 2019 | 21 | 2019 |
Kiyoshi IzumiThe University of TokyoPotvrđena adresa e-pošte na sys.t.u-tokyo.ac.jp