Practical entropy-compressed rank/select dictionary D Okanohara, K Sadakane 2007 Proceedings of the Ninth Workshop on Algorithm Engineering and …, 2007 | 390 | 2007 |

Improving the scalability of semi-markov conditional random fields for named entity recognition D Okanohara, Y Miyao, Y Tsuruoka, J Tsujii Proceedings of the 21st International Conference on Computational …, 2006 | 95 | 2006 |

Least-squares conditional density estimation M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara IEICE Transactions on Information and Systems 93 (3), 583-594, 2010 | 94 | 2010 |

A linear-time Burrows-Wheeler transform using induced sorting D Okanohara, K Sadakane String Processing and Information Retrieval: 16th International Symposium …, 2009 | 92 | 2009 |

Modeling latent-dynamic in shallow parsing: a latent conditional model with improved inference X Sun, LP Morency, D Okanohara, Y Tsuruoka, J Tsujii Proceedings of the 22nd international conference on computational …, 2008 | 83 | 2008 |

New challenges for text mining: mapping between text and manually curated pathways K Oda, JD Kim, T Ohta, D Okanohara, T Matsuzaki, Y Tateisi, J Tsujii BMC bioinformatics 9, 1-14, 2008 | 81 | 2008 |

Latent variable perceptron algorithm for structured classification X Sun, T Matsuzaki, D Okanohara, J Tsujii Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 78 | 2009 |

Conditional density estimation via least-squares density ratio estimation M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 71 | 2010 |

A discriminative language model with pseudo-negative samples D Okanohara, T Junichi ACL, 2007 | 65 | 2007 |

Text categorization with all substring features D Okanohara, J Tsujii Proceedings of the 2009 SIAM International Conference on Data Mining, 838-846, 2009 | 51 | 2009 |

An online algorithm for finding the longest previous factors D Okanohara, K Sadakane Algorithms-ESA 2008: 16th Annual European Symposium, Karlsruhe, Germany …, 2008 | 44 | 2008 |

Neural multi-scale image compression KM Nakanishi, S Maeda, T Miyato, D Okanohara Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 40 | 2019 |

Assigning polarity scores to reviews using machine learning techniques D Okanohara, J Tsujii International Conference on Natural Language Processing, 314-325, 2005 | 34 | 2005 |

A deep-learning approach for operation of an automated realtime flare forecast Y Hada-Muranushi, T Muranushi, A Asai, D Okanohara, R Raymond, ... arXiv preprint arXiv:1606.01587, 2016 | 18 | 2016 |

Learning combination features with L1 regularization D Okanohara, J Tsujii Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009 | 17 | 2009 |

Deep learning T Kamishima, E Aso, M Yasuda, S Maeda, D Okanohara Kindaikagakusha: Tokyo, Japan, 177, 2015 | 12 | 2015 |

Compressed bit vectors based on variable-to-fixed encodings S Jo, S Joannou, D Okanohara, R Raman, SR Satti The Computer Journal 60 (5), 761-775, 2017 | 6 | 2017 |

Discriminative method for Japanese kana-kanji input method H Tokunaga, D Okanohara, S Mori Proceedings of the Workshop on Advances in Text Input Methods (WTIM 2011), 10-18, 2011 | 6 | 2011 |

Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs T Ando, H Iino, H Mori, R Torishima, K Takahashi, S Yamaguchi, ... Advanced Robotics 37 (10), 621-633, 2023 | 5 | 2023 |

Synthetic gradient methods with virtual forward-backward networks T Miyato, D Okanohara, S Maeda, M Koyama | 5 | 2017 |