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Recent Publication

  • Shota Motoura, Ayako Hoshino, and Itaru Hosomi.
    "Cooperative Hypothesis Building for Computer Security Incident Response".
    Information and Communication Technology for Intelligent Systems (ICTIS2021).
  • Kosuke Akimoto, Seng Pei Liew, Sakiko Mishima, Ryo Mizushima, Kong Aik Lee.
    "POCO: a Voice Spoofing and Liveness Detection Corpus based on Pop Noise". INTERSPEECH 2020.
  • Mori Tatsuya, Kubosawa Shumpei, Onishi Takashi, Tsuruoka Yoshimasa.
    "Improving the Gross Profit of a Vinyl Acetate Monomer Plant by Deep Reinforcement Learning".
    59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
  • Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka.
    "Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces".
    ICML 2020 Workshop on Lifelong Learning Workshop (LifelongML).
  • Yoichi Sasaki, Takanori Maehara, Takumi Akazaki, Kazeto Yamamoto, Kunihiko Sadamasa.
     "Solving Weighted Abduction via Max-SAT Solvers".
    The Thirty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS 2020).
  • Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jefferey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa.
    "Continuous Top-k Spatial-Keyword Search on Dynamic Objects".
    The International Journal on Very Large Data Bases, VLDB Journal 2020.
  • Kunihiro Takeoka, Yuyang Dong and Masafumi Oyamada.
    "Learning with Unsure Responses".
    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).
  • Yoichi Sasaki, Tetsuo Shibuya, Kimihito Ito, Hiroki Arimura.
    Efficient Approximate 3-Dimensional Point Set Matching Using Root-Mean-Square Deviation Score.
    IEICE Trans. fundamentals, Vol.E102-A, No.9, Sep. 2019.
  • Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, and Mathias Niepert. Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), 2019.
  • Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka. Learning Robust Options by Conditional Value at Risk Optimization. Thirty-third Conference on Neural Information Processing System (NeurIPS), 2019.
  • Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka. Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
  • Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka. Optimistic Proximal Policy Optimization. ICML 2019 Workshop on Exploration in RL (ERL 2019), 2019.
  • Daichi Hasumi, Shigeyoshi Shima, and Hiroki Takakura. SPINZ: A Speculating Incident Zone System for Incident Handling. Journal of Cyber Security and Mobility Vol.8 Issue 3, pp.341-364, 2019.
  • Katsumi Hisao, Koichiro Yoshino, Takuya Hiraoka, Kosuke Akimoto, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura. Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System (in Japanese). Journal of The Japanese Society for Artificial Intelligence, 2020.
  • Yukiko Tanaka, Takuya Hiraoka, Yoshimasa Tsuruoka. Learning Interpretable Control Policies with Decision Trees via the Cross-Entropy Method (in Japanese). Annual Conference on the Japanese Society for Artificial Intelligence (JSAI), 2019.
  • Hisao Katsumi, Takuya Hiraoka, Shota Motoura, Kazeto Yamamoto, Kunihiko Sadamasa, Koichiro Yoshino, Satoshi Nakamura. 深層強化学習を用いた論証構築のための情報探索対話戦略の最適化 (In Japanese). RSJ, 2018.
  • Shohei Hiruta, Satoshi Ikeda, Shigeyoshi Shima, Hiroki Takakura. IDS Alert Priority Determination based on Traffic Behavior. The 14th International Workshop on Security (IWSEC 2019), 2019.
  • Daniel Andrade, Akiko Takeda, Kenji Fukumizu. Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model. Statistics and Computing, 2019.
  • Daniel Andrade, Yuzuru Okajima. Efficient Bayes Risk Estimation for Cost-Sensitive Classification. The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), 2019.
  • Yuzuru Okajima, Kunihiko Sadamasa. Decision List Optimization based on Continuous Relaxation. The SIAM International Conference on Data Mining (SDM19), 2019.
  • Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino,Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa and Satoshi Nakamura. Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System. The Thirty-Third AAAI Conference on Artificial Intelligence, Workshop on Reasoning and Learning for Human-Machine Dialogues (DEEP-DIAL 2019), January, 2019.
  • Yuzuru Okajima, Kunihiko Sadamasa. Deep neural networks constrained by decision rules. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), January, 2019
  • Daniel Andrade, Bing Bai, Ramkumar Rajendra, Yotaro Watanabe. Leveraging knowledge bases for future prediction with memory comparison networks. AI Communications, 2018.
  • 佐々木耀一, 前原貴憲, 赤崎拓未, 山本風人, 定政邦彦. 充足可能性問題への変換を用いた重み付き仮説推論の高速化. 第17回情報科学技術フォーラム(FIT2018), 2018.
  • 勝見久央, 平岡拓也, 本浦庄太, 山本風人, 定政邦彦, 吉野幸一郎, 中村哲. 論証構築のための情報探索対話戦略の最適化. 言語処理学会第24回年次大会, 2018.
  • 佐々木耀一. 有向ハイパーグラフ上の到達可能性判定問題に対する効率的なアルゴリズム. STRセミナー2018, 2018.
  • Takuya Hiraoka, Shota Motoura, and Kunihiko Sadamasa. Detecticon: A Prototype Inquiry Dialog System. the Ninth International Workshop on Spoken Dialogue Systems Technology (IWSDS 2018), 2018/05/16.
  • Kazeto Yamamoto, Takashi Onishi, and Yoshimasa Tsuruoka. Hierarchical Reinforcement Learning with Abductive Planning. IJCAI 2018 Workshop on Planning and Learning, 2018.
  • Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata and Yoshimasa Tsuruoka. Monte Carlo Tree Search with Scalable Simulation Periods. IJCAI 2018 Workshop on Planning and Learning, 2018.
  • Takuya Hiraoka, Takashi Onishi, and Yoshimasa Tsuruoka. Refining Human-Designed Symbol Grounding and High-Level Planning by Policy Gradient. IJCAI 2018 Workshop on Learning and Reasoning, 2018.
  • 田中友紀子, 平岡拓也, 大西貴士, 鶴岡慶雅, 滝野晶平, 松本陽介. 電力ダム操作における強化学習型シンボルグラウンディングによる意思決定支援に関する検討. 2018年度人工知能学会全国大会（第32回）, 2018.
  • 星野綾子, 細見格. 句構造解析とクラスタリングを用いた会話履歴の要約. 2018年度人工知能学会全国大会（第32回）, 2018.
  • 佐々木耀一, 木村圭吾, 山本風人, 岡嶋穣, 定政邦彦. 有向ハイパーグラフ上での到達可能性判定の高速化. 2018年度人工知能学会全国大会（第32回）, 2018.
  • Shumpei Kubosawa, Takashi Onishi, and Yoshimasa Tsuruoka Synthesizing Chemical Plant Operation Procedure utilizing Knowledge, Dynamic Simulation and Deep Reinforcement Learning. SICE2018, 2018.
  • Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa, and Takashi Onishi. Translating MFM into FOL: towards plant operation planning. Proceedings of the Third International Workshop on Functional Modelling for Design and Operation of Engineering Systems, 24 - 25 May, 2018, Kurashiki, Japan
  • 佐々木耀一, 木村圭吾, 山本風人, 岡嶋穣, 定政邦彦. 有向ハイパーグラフ上の到達可能性判定問題に対するZDDを用いた効率的なアルゴリズム. 基盤(S) 離散構造処理系プロジェクト 「2018年度 初夏のワークショップ」, 2018.

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