Geostatistical techniques for incorporating spatial correlation into land use change models. - Ademola K. Braimoh; Takashi Onishi (Int. J. Appl. Earth Obs. Geoinformation, 2007)

Reordering Constraint Based on Document-Level Context. - Takashi Onishi; Masao Utiyama; Eiichiro Sumita (ACL (2), 2011)

Rule-based Reordering Constraints for Phrase-based SMT. - Chooi-Ling Goh; Takashi Onishi; Eiichiro Sumita (EAMT, 2011)

A Comparison Study of Parsers for Patent Machine Translation. - Isao Goto; Masao Utiyama; Takashi Onishi; Eiichiro Sumita (MTSummit, 2011)

Searching Translation Memories for Paraphrases. - Masao Utiyama; Graham Neubig; Takashi Onishi; Eiichiro Sumita (MTSummit, 2011)

Paraphrase Lattice for Statistical Machine Translation. - Takashi Onishi; Masao Utiyama; Eiichiro Sumita (IEICE Trans. Inf. Syst., 2011)

An Empirical Comparison of Parsers in Constraining Reordering for E-J Patent Machine Translation. - Isao Goto; Masao Utiyama; Takashi Onishi; Eiichiro Sumita (J. Inf. Process., 2012)

Synonym Acquisition Using Bilingual Comparable Corpora. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (IJCNLP, 2013)

Chinese Informal Word Normalization: an Experimental Study. - Aobo Wang; Min-Yen Kan; Daniel Andrade; Takashi Onishi; Kai Ishikawa (IJCNLP, 2013)

Translation Acquisition Using Synonym Sets. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (HLT-NAACL, 2013)

Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity. - Daniel Andrade; Masaaki Tsuchida; Takashi Onishi; Kai Ishikawa (NTCIR, 2013)

Event Relation Acquisition Using Dependency Patterns and Confidence-Weighted Co-occurrence Statistics. - Shohei Higashiyama; Kunihiko Sadamasa; Takashi Onishi; Yotaro Watanabe (FedCSIS, 2017)

Translating MFM into FOL: towards plant operation planning. - Shota Motoura; Kazeto Yamamoto; Shumpei Kubosawa; Takashi Onishi (CoRR, 2018)

Hierarchical Reinforcement Learning with Abductive Planning. - Kazeto Yamamoto; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2018)

Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. - Seydou Ba; Takuya Hiraoka; Takashi Onishi; Toru Nakata; Yoshimasa Tsuruoka (CoRR, 2018)

Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. - Takuya Hiraoka; Takashi Onishi; Takahisa Imagawa; Yoshimasa Tsuruoka (CoRR, 2018)

Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. - Seydou Ba; Takuya Hiraoka; Takashi Onishi; Toru Nakata; Yoshimasa Tsuruoka (ICTAI, 2019)

Learning Robust Options by Conditional Value at Risk Optimization. - Takuya Hiraoka; Takahisa Imagawa; Tatsuya Mori; Takashi Onishi; Yoshimasa Tsuruoka (NeurIPS, 2019)

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2019)

Improvement of the Form Accuracy of a Slender Workpiece in Cylindrical Traverse Grinding. - Takashi Onishi; Teppei Takashima; Moriaki Sakakura; Koichi Sakamoto; Kazuhito Ohashi (Int. J. Autom. Technol., 2019)

Meta-Model-Based Meta-Policy Optimization. - Takuya Hiraoka; Takahisa Imagawa; Voot Tangkaratt; Takayuki Osa; Takashi Onishi; Yoshimasa Tsuruoka (ACML, 2021)

Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (SICE, 2021)

Dropout Q-Functions for Doubly Efficient Reinforcement Learning. - Takuya Hiraoka; Takahisa Imagawa; Taisei Hashimoto; Takashi Onishi; Yoshimasa Tsuruoka (ICLR, 2022)

Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (SICE, 2022)

Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Makoto Sakahara; Yoshimasa Tsuruoka (CoRR, 2022)

Soft Sensors and Process Control using AI and Dynamic Simulation. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2022)

Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences. - Takuya Hiraoka; Guanquan Wang; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2024)

Interpretable Imitation Learning with Symbolic Rewards. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (ACM Trans. Intell. Syst. Technol., 2024)