• 論文へ飛ぶ
• プロシーディングへ飛ぶ

論文リスト

• Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata,
  Trend analysis with interpretability and cold-start problems for recommender systems,
  The Review of Socionetwork Strategies.
  to appear.
  
  
• Mitsuhiro Nishijima, Kazuhide Nakata,
  Generalizations of doubly nonnegative cones and their comparison,
  Journal of the Operations Research Society of Japan.
  to appear
  
  
• Kaito Majima, Kosuke Kawakami1, Kota Ishizuka, Kazuhide Nakata,
  Keyword-level bayesian online bid optimization for sponsored search advertising,
  Operations Research Forum, 5:45 (2024).
  https://doi.org/10.1007/s43069-024-00322-y
  
  
• Mitsuhiro Nishijima, Kazuhide Nakata,
  Approximation Hierarchies for Copositive Cone over Symmetric Cone and Their Comparison,
  Journal of Global Optimization, online.
  DOI: https://doi.org/10.1007/s10898-023-01319-3
  
  
• Yuming Ma, Shintaro Sengoku and Kazuhide Nakata,
  The realized local volatility surface,
  Journal of Investment Strategies, vol.12, pp. 1--21, (2023).
  DOI: 10.21314/JOIS.2023.003
  
  
• Yuki Hoshino, Yoshimasa Utsumi, Yoshiro Matsuda, Yoshitoshi Tanaka, Kazuhide Nakata,
  IPC prediction of patent documents using neural network with attention for hierarchical structure,
  PLOS ONE, vol.18, e0282361, (2023).
  DOI: https://doi.org/10.1371/journal.pone.0282361
  
  
• Ken Kobayashi, Yuichi Takano, Kazuhide Nakata,
  Cardinality-constrained Distributionally Robust Portfolio Optimization,
  European Journal of Operational Research, vol. 309, pp. 1173-1182, (2023).
  DOI: https://doi.org/10.1016/j.ejor.2023.01.037
  
  
• 東将己，山根大輝，原朋史，梅津大雅，馬嶋海斗，松井諒生，中田和秀,
  育児Q&Aサイトにおける質問の時系列を考慮した複数の子供の月齢予測,
  オペレーションズ・リサーチ, vol.68, No.2, pp. 75--84, (2023).
  
  
• Ryo Matsui, Suguru Yaginuma, Taketo Naito, Kazuhide Nakata,
  Noise-Robust Sampling for Collaborative Metric Learning,
  The Review of Socionetwork Strategies, 16: 307-332, (2022).
  DOI: 10.1007/s12626-022-00131-x.
  
  
• Sara Atef, Kazuhide Nakata, Amr Eltawil,
  A Deep Bi-directional Long-Short Term Memory Neural Network-based Methodology to Enhance Short-Term Electricity Load Forecasting,
  Computers & Industrial Engineering, Volume 170, 108364, (2022).
  DOI: 10.1016/j.cie.2022.108364
  
  
• Michiya Kuramata, Ryota Katsuki, Kazuhide Nakata,
  Solving large break minimization problems in a mirrored double round-robin tournament using quantum annealing,
  PLOS ONE 17, e0266846 (2022).
  DOI:10.1371/journal.pone.0266846
  
  
• Mitsuhiro Nishijima and Kazuhide Nakata,
  A Block Coordinate Descent Method for Sensor Network Localization,
  Optimization Letters, Vol. 16, No.3, pp. 1051-1071, (2022).
  DOI: 10.1007/s11590-021-01762-9
  
  
• Ken Kobayashi, Yuichi Takano and Kazuhide Nakata,
  Bilevel Cutting-plane Algorithm for Solving Cardinality-constrained Mean-CVaR Portfolio Optimization Problems,
  Journal of Global Optimization, 81, pp. 493–528 (2021).
  DOI: 10.1007/s10898-021-01048-5
  
  
• Kosuke Kawakami, Hirokazu Kobayashi, Kazuhide Nakata,
  Seasonal inventory management model for raw materials in steel industry,
  INFORMS Journal on Applied Analytics, Vol.51, No.4, pp. 312–324 (2021).
  DOI: 10.1287/inte.2021.1073
  
  
• Mohammed Abdelgalil, Amr Eltawil, Zakaria Yahia and Kazuhide Nakata,
  A hybrid Variable Neighbourhood Search and Dynamic Programming approach for the Nurse Rostering Problem,
  Journal of Industrial and Management Optimization,
  Vol.17, Issue 4, pp. 2051-2072 (2021).
  DOI: 10.3934/jimo.2020058
  
  
• 岩田真奈，桑原惇，石塚湖太，倉又迪哉，清原明加，中田和秀,
  タクシーの流し営業における強化学習を用いた顧客獲得ナビ,
  オペレーションズ・リサーチ, 66巻2号, 75-83 (2021).．
  
  
• 松井諒生, 住谷有規, 笹尾知広, 中田和秀,
  反実仮想機械学習を用いたタクシーの乗車数予測と配置最適化,
  オペレーションズ・リサーチ, 66巻2号, 66-74 (2021)．
  
  
• 土橋諒太，陳晨，三浦真和，中田和秀、
  自然言語処理的アプローチによるテレビ視聴データの解析、
  オペレーションズ・リサーチ, 65, 85-92, (2020)．
  
  
• Alyaa Abdelhalima, Kazuhide Nakata, Mahmoud El-Alem, Amr Eltawil,
  A hybrid evolutionary-simplex search method to solve nonlinear constrained optimization problems, Soft Computing, Vol.23, pp. 12001-12015, (2019).
  DOI: 10.1007/s00500-019-03756-3
  
  
• Ryuta Tamura, Ken Kobayashi, Yuichi Takano, Ryuhei Miyashiro, Kazuhide Nakata, Tomomi Matsui,
  Mixed Integer Quadratic Optimization Formulations for Eliminating Multicollinearity Based on Variance Inflation Factor,
  Journal of Global Optimization, Vol.70, 431-446 (2019).
  DOI: 10.1007/s10898-018-0713-3
  
  
• 福永峻，田村悠，根市和旗，市瀬将也，小槙瑠理子，花村鴻太郎，戸田開人，片山翔太，中田和秀、
  部分再帰型ニューラルネットワークを用いたヘアサロンチェーンにおける顧客の離脱予測、
  オペレーションズ・リサーチ 64, 87-94 (2019).
  
  
• 高正妍，田澤浩二，チョウイ，大原靖之，山野上勇人，桑原惇，片山翔太，中田和秀,
  Ensemble LDAを用いた既存および新規顧客へのスタイリスト推薦、
  オペレーションズ・リサーチ 64, 95-101 (2019).
  
  
• Mahmoud Heshmat, Kazuhide Nakata, Amr Eltawil,
  Solving the patient appointment scheduling problem in outpatient chemotherapy clinics using clustering and mathematical programming,
  Computers & Industrial Engineering, Vol. 124, pp. 347-358 (2018).
  DOI: 10.1016/j.cie.2018.07.033
  
  
• 田村悠，吉住宗朔，福永峻，三宅聡一郎，片山翔太，中田和秀，
  ファッションECサイトにおけるアンケートを用いたブランド推薦システム，
  オペレーションズ・リサーチ, Vol. 63, pp. 91-98 (2018).
  
  
• Alyaa Abdelhalima, Kazuhide Nakata, Mahmoud El-Alem, Amr Eltawil,
  Guided Particle Swarm Optimization Method to Solve General Nonlinear Optimization Problems,
  Engineering Optimization, Vol. 50, pp. 568-583 (2017).
  DOI: 10.1080/0305215X.2017.1340945.
  
  
• Ryuta Tamura, Ken Kobayashi, Yuichi Takano, Ryuhei Miyashiro, Kazuhide Nakata, Tomomi Matsui,
  Best subset selection for eliminating multicollinearity,
  Journal of the Operations Research Society of Japan, Vol. 60, pp. 321-336 (2017).
  DOI: 10.15807/jorsj.60.321.
  
  
• 田澤浩二, 吉住宗朔, 平野豪一, 片山翔太, 中田和秀,
  待ち行列シミュレータを用いた区役所における職員配置最適化,
  オペレーションズ・リサーチ, Vol. 62, pp. 75-82 (2017).
  
  
• Makoto Yamashita, Kazuhide Nakata,
  Fast implementation for semidefinite programs with positive matrix completion,
  Optimization Methods and Software, Vol.30, Issue.5, pp. 1030-1049, (2015).
  DOI: 10.1080/10556788.2015.1014554.
  
  
• Mirai Tanaka, Kazuhide Nakata,
  Successive projection method for well-conditioned matrix approximation problems,
  IEEE Signal Processing Letters, Vol.21, Issue.4, pp. 418-422, (2014),
  DOI: 10.1109/LSP.2014.230315.
  
  
• Mirai Tanaka and Kazuhide Nakata,
  Positive definite matrix approximation with condition number constraint,
  Optimization Letters, Vol.8, pp. 939-947, (2014),
  DOI: 10.1007/s11590-013-0632-7.
  
  
• 高野祐一, 田中未来, すけ川 矩義, 竹山光将, 神里栄, 千代竜佑, 小林健, 田中研太郎, 中田和秀,
  ファジィクラスタワイズ回帰を用いた共同購入型クーポンサイトの閲覧傾向分析,
  日本オペレーションズ・リサーチ学会, Vol.59, PP. 81-87 (2014).
  
  
• Mirai Tanaka, Kazuhide Nakata, and Hayato Waki,
  Numerical reduction method for doubly nonnegative optimization problems,
  Journal of Math-for-Industry 5A (2013) 41-50.
  
  
• Katsuki Fujisawa, Mituhiro Fukuda, Kazuhiro Kobayashi, Kazuhide Nakata, Maho Nakata, Makoto Yamashita,
  Parallel solver for SemiDefinite Programming having sparse Schur complement matrix,
  ACM transactions on Mathematical Software, 39 (2012) Article No.6
  DOI: 10.1145/2382585.2382591
  
  
• Mirai Tanaka, Kazuhide Nakata, and Hayato Waki,
  Application of a facial reduction algorithm and an inexact primal-dual path-following method for doubly nonnegative relaxation for mixed binary nonconvex quadratic optimization problems,
  Pacific Journal of Optimization, Vol. 8, pp. 699-724 (2012).
  
  
• Makoto Yamashita, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhiro Kobayashi, Kazuhide Nakata, Maho Nakata,
  Latest developments in the SDPA Family for solving large-scale SDPs,
  Handbook on Semidefinite Cone and Polynomial Optimization, Springer (2011), 687-714.
  
  
• Tomonari Kitahara, Shinji Mizuno, and Kazuhide Nakata
  Quadratic and Convex Minimax Classification Problems,
  Journal of the Operations Research Society of Japan, 51 (2008), 191-201.
  
  
• 中田和秀, 藤澤克樹, 福田光浩, 山下真, 中田真秀, 小林和博
  最適化ソフトウェアSDPA,
  応用数理 18 (2008), 2-14．
  
  
• Makoto Yamashita, Katsuki Fujisawa and Kazuhide Nakata,
  Parallel Solver for Semidefinite Programming,
  International Journal of Logistics and SCM systems 2(1), 22-29, (2007).
  
  
• Katsuki Fujisawa, Kazuhide Nakata, Makoto Yamashita, and Mituhiro Fukuda
  SDPA Project : Solving Large-scale Semidefinite Programs,
  Journal of the Operations Research Society of Japan, 50 (2007), 278-298.
  
  
• Tomonari Kitahara, Shinji Mizuno, and Kazuhide Nakata
  An Extension of a Minimax Approach to Multiple Classification,
  Journal of the Operations Research Society of Japan, 50 (2007), 123-136.
  
  
• Kazuhiro Kobayashi, Kazuhide Nakata and Masakazu Kojima,
  A Conversion of an SDP Having Free Variables into the Standard Form SDP,
  Computational Optimization and Applications, 36 (2007), 289-307.
  
  
• Makoto Yamashita, Mituhiro Fukuda, Katsuki Fujisawa, Masakazu Kojima, and Kazuhide Nakata,
  Parallel primal-dual interior-point methods for semidefinite programs,
  Parallel Combinatorial Optimization, (2006) 211-238.
  
  
• Kazuhide Nakata, Makoto Yamashita, Katsuki Fujisawa, and Masakazu Kojima,
  A parallel primal-dual interior-point method for semidefinite programs using positive definite matrix completion,
  Parallel Computing, 32 (2006) 24-43.
  
  
• Katsuki Fujisawa, Mituhiro Fukuda, and Kazuhide Nakata,
  Preprocessing sparse semidefinite programs via matrix completion,
  Journal of Optimization Methods and Software, 21 (2006) 17-39.
  
  
• 稲場 広記, 水野 眞治, 中田 和秀,
  2次錐計画問題によるロバスト・トラッキングエラー最小化,
  Transactions of the Operations Research Society of Japan, 48 (2005) 12--25.
  
  
• Kazuhide Nakata, Katsuki Fujisawa, Mituhiro Fukuda, Masakazu Kojima and Kazuo Murota,
  Exploiting Sparsity in Semidefinite Programming via Matrix Completion II: Implementation and Numerical Results,
  Mathematical Programming B, 95 (2003) 303-327.
  
  
• Shao-Liang Zhang, Kazuhide Nakata and Masakazu Kojima,
  Incomplete Orthogonalization Preconditioner for Solving Large and Dense Linear Systems which Arise from Semidefinite Programming,
  Applied Numerical Mathematics 41 (2002) 235-245.
  
  
• Maho Nakata, Hiroshi Nakatsuji, Masahiro Ehara, Mituhiro Fukuda, Kazuhide Nakata and Katsuki Fujisawa,
  Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm,
  Journal of Chemical Physics, Vol.114, No.19 (2001) 8282-8292.
  
  
• Mituhiro Fukuda, Masakazu Kojima, Kazuo Murota and Kazuhide Nakata,
  Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework,
  SIAM Journal on Optimization 11 (2000) 647-674.
  
  
• Katsuki Fujisawa, Mituhiro Fukuda, Masakazu Kojima and Kazuhide Nakata,
  Numerical Evaluation of the SDPA (SemiDefinite Programming Algorithm),
  High Performance Optimization, Kluwer Academic Publishers (2000) 267-301.
  
  
• 中田 和秀, 藤沢 克樹, 小島 政和,
  半正定値計画問題に対する主双対内点法における共役勾配法の実装,
  統計数理 第４６巻 第２号 (1998) 297-316.
  
  
• Katsuki Fujisawa, Masakazu Kojima and Kazuhide Nakata,
  Exploiting sparsity in primal-dual interior-point methods for semidefinite programming,
  Mathematical Programming 79 (1997) 235-253.

査読付きプロシーディング

• Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito,
  Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation,
  Proceedings of International Conference on Learning Representations (ICLR2024), (2024).
  
  
• Keisuke Mizutani, Ayaka Ueta, Ryota Ueda, Ray Oishi, Tomofumi Hara, Yuki Hoshino, Ken Kobayashi, Kazuhide Nakata,
  Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets,
  The 11th International Conference on Industrial Engineering and Applications (Europe) (ICIEA 2024-Europe).
  
  
• Masayuki Goto, Manabu Kobayashi, Takeshi Moriguchi, Yoichi Seki, Hideo Suzuki, Takashi Namatame, Kazuhide Nakata, Aya Ishigaki, Masao Ueda, Kimitoshi Sato, Kenta Mikawa, Haruka Yamashita, Tomoaki Tabata, Tianxiang Yang, Ayako Yamagiwa, Yutaka Tajiri ,
  Online Flipped Conference Based Data Science Education Program and Its Educational Effectiveness in Multi-University Collaboration,
  Proceedings of the 2023 Asian Conference of Management Science and Applications (ACMSA2023).
  
  
• Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata,
  Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems,
  Proceedings of 2023 IEEE International Conference on Data Mining, 2023.
  
  
• Masaki Higashi, Minje Sung, Daiki Yamane, Kenta Inamuro, S. Nagai, Ken Kobayashi and Kazuhide Nakata,
  Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency,
  Proceedings of The 20th Pacific Rim International Conference on Artificial Intelligence, 2023.
  
  
• Ayaka Ueta, Mirai Tanaka, Ken Kobayashi, Kazuhide Nakata,
  Inverse-optimization-based uncertainty set for robust linear optimization,
  International Conference on Operations Research (OR2023).
  
  
• Keisho Oh, Naoki Nishimura, Minje Sung, Ken Kobayashi, Kazuhide Nakata,
  An IPW-based Unbiased Ranking Metric in Two-sided Mark,
  KDD 203 workshop "Causal Inference and Machine Learning in Practice: Use cases for Product, Brand, Policy, and beyond", (2023).
  
  
• Masaki Higashi, Yoshimasa Utsumi, Kazuhide Nakata,
  Patent Classification for Business Strategy with BERT,
  Proceedings of 6th International Conference on Intelligent Computing & Optimization 2023 (ICO-2023).
  
  
• Yuki Hoshino, Makoto Tasaki, Keisuke Mizutani, Motoya Azami, Kota Ishizuka, and Kazuhide Nakata,
  Predicting response probability by embedding questions in online question recommendation,
  Proceedings of The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology(WI-IAT'22).
  
  
• Yuki Hoshino, Ryo Matsui, Kota Ishizuka, Koya Ishikawa, Taiga Umetsu and Kazuhide Nakata,
  Hierarchical Bayesian recommendation model for inter-company collaboration using cross-industry questionnaire,
  Proceedings of 2022 IEEE 9th International Conference on Industrial Engineering and Applications (ICIEA 2022).
  
  
• Akihisa Watanabe, Michiya Kuramata, Kaito Majima, Haruka Kiyohara, Kensho Kondo, Kazuhide Nakata,
  Constrained Generalized Additive 2 Model With Consideration of High-Order Interactions,
  Proceedings of the International Conference on Electrical Computer and Energy Technologies (ICECET'21).
  
  
• Ryo Matsui, Taketo Naito, Suguru Yaginuma, Kazuhide Nakata,
  Confident Collaborative Metric Learning,
  Proceedings of the IEEE International Workshop on Data Mining for Service (DMS2021).
  
  
• Kota Ishizuka, Kai Kurogi, Kosuke Kawakami, Daishi Iwai, Kazuhide Nakata,
  Generating Search Text Ads from Keywords and Landing Pages via BERT2BERT,
  Proceedings of the 35th Annual Conference of the Japanese Society for Artificial Intelligence (2021).
  
  
• Kota Ishizuka and Kazuhide Nakata,
  Text Mining for Factor Modeling of Japanese Stock Performance,
  Proceedings of the 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA 2021), pp. 538-542.
  doi: 10.1109/ICIEA52957.2021.9436812.
  
  
• Michiya Kuramata, Ryota Katsuki, and Kazuhide Nakata,
  Larger Sparse Quadratic Assignment Problem OptimizationUsing Quantum Annealing and a Bit-Flip Heuristic Algorithm,
  Proceedings of the 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA 2021), pp. 556-565.
  doi: 10.1109/ICIEA52957.2021.9436749.
  
  
• Yuta Saito, Hayato Sakata and Kazuhide Nakata,
  Cost-Effective and Stable Policy Optimization Algorithm for Uplift Modeling with Multiple Treatments,
  Proceedings of SIAM International Conference on Data Mining (SDM20), pp. 406-414.
  DOI: 10.1137/1.9781611976236.46
  
  
• Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata and Kazuhide Nakata,
  Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback,
  Proceedings of The 13th ACM International WSDM Conference, pp. 501--509, (2020).
  DOI: 10.1145/3336191.33717831
  
  
• Yuta Saito, Hayato Sakata and Kazuhide Nakata,
  Doubly Robust Prediction and Evaluation Methods Improve Uplift Modeling for Observational Data,
  Proceedings of SIAM International Conference on Data Mining (SDM19).
  Vol. 70, pp. 431-446, (2019).
  DOI: 10.1007/s10898-018-0713-3
  
  
• Mahmoud Heshmat, Kazuhide Nakata, Amr Eltawil,
  Modified Formulation for the Appointment Scheduling Problem of Outpatient Chemotherapy Departments,
  Proceedings of the 4th International Conference on industrial Engineering and Applications(ICIEA), 192-196, (2019).
  DOI: 10.1109/IEA.2017.7939205
  
  
• Shao-Liang Zhang, and Kazuhide Nakata,
  Generalized conjugate residual method for solving large and dense linear systems in semidefinite programming,
  Proceedings of Fifth China-Japan Seminar on Numerical Mathematics (2002) 234-241.