Publications (業績)
The mark "@" denotes that the first author is him.
Preprints noted "Old preprint version" may be largely updated from journal/conference versions.
Journal Papers
- Efficient model selection for predictive pattern mining model by safe pattern pruning (Old preprint version released in June 2023: arXiv:2306.13561)
- Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
- Patterns, 4, 12 (2023).
- @ Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications (Old preprint version released in June 2023: arXiv:2306.12670)
- Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
- Neural Computation, 35, 12 (2023).
- Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences
- Kento Goto, Norimasa Tamehiro, Takumi Yoshida, Hiroyuki Hanada, Takuto Sakuma, Reiko Adachi, Kazunari Kondo, Ichiro Takeuchi
- Journal of Biological Chemistry, 299, 6 (2023).
- Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening (Old preprint version released in October 2018: arXiv:1810.01683)
- Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
- IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 2 (2023).
- SMG6 regulates DNA damage and cell survival in Hippo pathway kinase LATS2-inactivated malignant mesothelioma
- Koya Suzuki, Masaki Tange, Ryota Yamagishi, Hiroyuki Hanada, Satomi Mukai, Tatsuhiro Sato, Takeshi Tanaka, Tomohiro Akashi, Kenji Kadomatsu, Tohru Maeda, Takashi Miida, Ichiro Takeuchi, Hiroshi Murakami, Yoshitaka Sekido, Yuko Murakami-Tonami
- Cell Death Discovery, 8, 446 (2022).
- Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson’s disease
- Hiroshi Nishiwaki, Mikako Ito, Tomonari Hamaguchi, Tetsuya Maeda, Kenichi Kashihara, Yoshio Tsuboi, Jun Ueyama, Takumi Yoshida, Hiroyuki Hanada, Ichiro Takeuchi, Masahisa Katsuno, Masaaki Hirayama, Kinji Ohno
- NPJ Parkinson’s Disease, 8, 65 (2022).
- Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union
- Rory Bunker, Keisuke Fujii, Hiroyuki Hanada and Ichiro Takeuchi
- PLoS ONE 16(9): e0256329 (2021).
- Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction
- Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
- IEEE Xplore: IEEE Transactions on Knowledge and Data Engineering, 34, 3 (2020), pp. 1477-1488.
- @ Average-case linear-time similar substring searching by the q-gram distance (Preprint hosted by Hokkaido University)
- Hiroyuki Hanada, Mineichi Kudo and Atsuyoshi Nakamura
- Theoretical Computer Science, 530 (2014), pp. 23-41.
Conference Proceedings (refereed)
- Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
- Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata and Ichiro Takeuchi
- The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024), Valencia, Spain, 2024.
- Fast and More Powerful Selective Inference for Sparse High-order Interaction Model (Old preprint version released in June 2021: arXiv:2106.04929)
- Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
- The 36th AAAI Conference on Artificial Intelligence (AAAI-22), Online conference, 2022.
- @ Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment (Old preprint version released in June 2016: arXiv:1606.00136)
- Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma and Ichiro Takeuchi
- The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, United States, 2018, pp. 1314-1321.
- Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization (Old preprint version released in February 2016: arXiv:1602.04579)
- Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma and Ichiro Takeuchi
- The 8th Asian Conference on Machine Learning (ACML 2016), Hamilton, New Zealand, 2016.
- @ Enumerating Eulerian Trails via Hamiltonian Path Enumeration (Technical report version hosted by Hokkaido University)
- Hiroyuki Hanada, Shuhei Denzumi, Yuma Inoue, Hiroshi Aoki, Norihito Yasuda, Shogo Takeuchi and Shin-Ichi Minato
- 9th International Workshop on Algorithms and Computation (WALCOM 2015), Dhaka, Bangladesh, 2015, pp 161-174 in Lecture Notes in Computer Science Volume 8973. Implementation in Python + Graphillion
- @ Quasi-Linear-Time Substring Searching by q-gram Distance (For paper, please consult the refined version)
- Hiroyuki Hanada, Mineichi Kudo and Atsuyoshi Nakamura
- 4th International Conference on Data Mining and Intelligent Information Technology Applications, Taipei, Taiwan, 2012, pp. 540-545.
- @ A practical comparison of edit distance approximation algorithms
- Hiroyuki Hanada, Atsuyoshi Nakamura and Mineichi Kudo
- 2011 IEEE International Conference on Granular Computing (GrC2011), Kaohsiung, Taiwan, 2011, pp. 231-236.
Reports / Workshop presentations (not refereed)
- 遊離した細胞の遊離前位置特定を目的とした複数物体追跡
- Shun Shimura, Yuko Ukai, Hiroyuki Hanada, Kouichi Taji, Yoshikatsu Sato, Ichiro Takeuchi
- 日本オペレーションズ・リサーチ学会 2024年秋季研究発表会 2024年9月10日～11日, Nagoya, Japan, 2024
- @ 入力データ分布の変動にロバストなセーフ事例スクリーニング
- Hiroyuki Hanada, Satoshi Akahane, Yu Inatsu, Tatsuya Aoyama, Yoshito Okura, Tomonari Tanaka, Shinya Kojima, Lee Hanju, Ichiro Takeuchi
- 第26回情報論的学習理論ワークショップ 2023年10月29日～11月1日, Kitakyushu, Japan, 2023
- 入力データ分布に対する不確実性の下での分布ロバストな能動学習
- Yoshito Okura, Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Shinya Kojima, Lee Hanju, Ichiro Takeuchi
- 第26回情報論的学習理論ワークショップ 2023年10月29日～11月1日, Kitakyushu, Japan, 2023
- 入力不確実性が存在する下での信用領域を用いたリスク尺度に対する多目的ベイズ最適化手法
- Yu Inatsu, Hiroyuki Hanada, Kazuki Iwata, Shion Takeno, Ichiro Takeuchi
- 第26回情報論的学習理論ワークショップ 2023年10月29日～11月1日, Kitakyushu, Japan, 2023
- 深層生成モデルを用いた予測系列パターンマイニングにおけるロバスト性の向上 <Improving robustness of predictive sequence pattern mining using deep generative model>
- Yuji TANAKA, Takumi YOSHIDA, Hiroyuki HANADA, Kouichi TAJI, Ichiro Takeuchi
- 第20回情報学ワークショップ (Workshop on Informatics 2022), 2022年12月17日, Nagoya, Japan, 2022
- 予測パターンマイニングモデルの最適化アルゴリズム <Optimization Algorithm for Predictive Pattern Mining Model>
- Ichiro Takeuchi, Hiroyuki Hanada
- 日本機械学会 最適化シンポジウム2022, 2022年11月12日～13日, Nagoya, Japan, 2022
- 複数の参照解を利用したSafe Pattern Pruningにおける正則化パス計算の効率化 <Improving Efficiency of Regularization Path Computation in Safe Pattern Pruning via Multiple Referential Solutions>
- Takumi YOSHIDA, Hiroyuki HANADA, Kazuya NAKAGAWA, Shinya SUZUMURA, Onur BOYAR, Kazuki IWATA, Shun SHIMURA, Yuji TANAKA, Masayuki KARASUYAMA, Kouichi TAJI, Koji TSUDA, Ichiro TAKEUCHI
- 情報論的学習理論と機械学習 (IBISML) 研究会 2022年9月15日, Yokohama, Japan, 2022
- セーフスクリーニングによる最適ルールフィットモデルの学習 <Learning optimal rule fit model by safe screening>
- Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
- 第21回情報論的学習理論ワークショップ 2018年11月5日～7日, Sapporo, Japan, 2018
- セーフパターンプルーニングによるルールベースモデルの学習 <Learning rule-base model by Safe Pattern Pruning>
- Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
- 情報論的学習理論と機械学習 (IBISML) 研究会 2018年3月5日～6日, Fukuoka, Japan, 2018
- @ 区間データに対する経験損失最小化とそのプライバシー保護への応用 <Empirical risk minimization for interval data and its applications to privacy preservations>
- Hiroyuki Hanada, Toshiyuki Takada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
- 情報論的学習理論と機械学習 (IBISML) 研究会 第19回情報論的学習理論ワークショップ (IBIS2016), Kyoto, Japan, 2016
- IEICE Technical Report, 116, 300, pp. 305-312.
- @ 経験損失最小化問題における高速感度分析に関する一提案 <A proposal on quick sensitivity analysis of empirical risk minimization problems>
- Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
- 情報論的学習理論と機械学習 (IBISML) 研究会 2016年9月5日～6日, Toyama, Japan, 2016
- IEICE Technical Report, 116, 208, pp. 203-210.
- @ 末尾への挿入が定数時間で可能な平衡二分探索木 <Balanced Binary Search Tree with Constant-Time Insertions at the End>
- Hiroyuki Hanada, Atsuyoshi Nakamura and Mineichi Kudo
- 人工知能学会 第89回人工知能基本問題研究会, Takizawa, Iwate, Japan, 2013, pp. 25-30.
Preprints
Preprints that are updated to journal/conference publications are not presented here.
- @ Distributionally Robust Safe Sample Screening
- Hiroyuki Hanada, Satoshi Akahane, Yu Inatsu, Tatsuya Aoyama, Yoshito Okura, Tomonari Tanaka, Shinya Kojima, Lee Hanju, Ichiro Takeuchi
- arXiv:2406.05964
- @ On Practical Accuracy of Edit Distance Approximation Algorithms
- Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
- arXiv:1701.06134