竹内 孝
タケウチ コウ情報学研究科 知能情報学専攻認知システム講座 助教
list
Last Updated :2022/05/14
研究
研究キーワード
研究分野
論文
- Fréchet Kernel for Trajectory Data Analysis.Koh Takeuchi; Masaaki Imaizumi; Shunsuke Kanda; Yasuo Tabei; Keisuke Fujii; Ken Yoda; Masakazu Ishihata; Takuya MaekawaACM SIGSPATIAL, 2021年, 査読有り, 筆頭著者
- In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach.Shu Nakamura; Koh Takeuchi; Hisashi Kashima; Takeshi Kishikawa; Takashi Ushio; Tomoyuki Haga; Takamitsu SasakiIEEE ITSC, 2021年, 査読有り
- Crowdsourcing Evaluation of Saliency-based XAI Methods.Xiaotian Lu; Arseny Tolmachev; Tatsuya Yamamoto; Koh Takeuchi; Seiji Okajima; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi KashimaECMLPKDD, 2021年, 査読有り
- Inter-domain Multi-relational Link Prediction.Luu Huu Phuc; Koh Takeuchi; Seiji Okajima; Arseny Tolmachev; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi KashimaECMLPKDD, 2021年, 査読有り
- Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.Koh Takeuchi; Ryo Nishida; Hisashi Kashima; Masaki OnishiAAMAS, 2021年, 査読有り, 筆頭著者
- Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.Yasutoshi Ida; Sekitoshi Kanai; Yasuhiro Fujiwara; Tomoharu Iwata; Koh Takeuchi; Hisashi KashimaICML, 2020年, 査読有り
- Succinct Trit-array Trie for Scalable Trajectory Similarity Search.Shunsuke Kanda; Koh Takeuchi; Keisuke Fujii; Yasuo TabeiACM SIGSPATIAL, 2020年, 査読有り
- Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.Luu Huu Phuc; Koh Takeuchi; Makoto Yamada; Hisashi KashimaIEEE DSAA, 2020年, 査読有り
- Proximity Preserving Nonnegative Matrix Factorization.Yuya Ogawa; Koh Takeuchi; Yuya Sasaki 0001; Makoto OnizukaJ. Inf. Process., 2020年, 査読有り
- New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.Seiji Maekawa; Koh Takeuchi; Makoto OnizukaJ. Inf. Process., 2020年, 査読有り
- 隣接性と構造類似性を考慮したグラフクラスタリング小川 裕也; 前川 政司; 竹内 孝; 佐々木 勇和; 鬼塚 真2019年03月
- Variational Inference of Penalized Regression with Submodular Functions.Koh Takeuchi; Yuichi Yoshida; Yoshinobu KawaharaUAI, 2019年, 査読有り, 筆頭著者
- Time Series Link Prediction Using NMF.Faith W. Mutinda; Atsuhiro Nakashima; Koh Takeuchi; Yuya Sasaki 0001; Makoto OnizukaJ. Inf. Process., 2019年, 査読有り
- Accelerating Urban Science by Crowdsensing with Civil Officers.Takuro Yonezawa; Koh Takeuchi; Tomotaka Ito; Mina Sakamura; Yasue Kishino; Futoshi Naya; Naonori Ueda; Jin NakazawaUbicomp, 2018年, 査読有り
- Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors.Yasue Kishino; Yoshinari Shirai; Koh Takeuchi; Takayuki Suyama; Futoshi Naya; Naonori UedaUbicomp, 2018年, 査読有り
- Few-shot learning of neural networks from scratch by pseudo example optimization.Akisato Kimura; Zoubin Ghahramani; Koh Takeuchi; Tomoharu Iwata; Naonori UedaBMVC, 2018年, 査読有り
- Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.Motoyuki Oki; Koh Takeuchi; Yukio UematsuIAAI, 2018年, 査読有り
- Scaling Locally Linear Embedding.Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi; Hideaki Kim; Tomoharu Iwata; Naonori UedaProceedings of the 2017 ACM International Conference on Management of Data, 2017年
- Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.Koh Takeuchi; Yoshinobu Kawahara; Tomoharu IwataMachine Learning and Knowledge Discovery in Databases - European Conference, 2017年
- SVD-Based Screening for the Graphical Lasso.Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi; Hideaki Kim; Tomoharu Iwata; Naonori UedaProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence(IJCAI), 2017年
- Autoregressive Tensor Factorization for Spatio-Temporal Predictions.Koh Takeuchi; Hisashi Kashima; Naonori Ueda2017 IEEE International Conference on Data Mining(ICDM), 2017年
- Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors.Yasue Kishino; Koh Takeuchi; Yoshinari Shirai; Futoshi Naya; Naonori Ueda2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017年
- Localized Lasso for High-Dimensional Regression.Makoto Yamada; Koh Takeuchi; Tomoharu Iwata; John Shawe-Taylor; Samuel KaskiProceedings of the 20th International Conference on Artificial Intelligence and Statistics(AISTATS), 2017年
- Sparse Network Lasso for Local High-dimensional Regression.Makoto Yamada; Koh Takeuchi; Tomoharu Iwata; John Shawe-Taylor; Samuel KaskiCoRR, 2016年
- Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.Koh Takeuchi; Yoshinobu Kawahara; Tomoharu IwataMachine Learning and Knowledge Discovery in Databases - European Conference, 2015年
- Cross-domain recommendation without shared users or items by sharing latent vector distributions.Tomoharu Iwata; Koh TakeuchiProceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics(AISTATS), 2015年
- Non-Negative Multiple Matrix Factorization.Koh Takeuchi; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi SawadaIJCAI 2013(IJCAI), 2013年
- Non-negative Multiple Tensor Factorization.Koh Takeuchi; Ryota Tomioka; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada2013 IEEE 13th International Conference on Data Mining(ICDM), 2013年
- Towards Automatic Image Understanding and Mining via Social Curation.Katsuhiko Ishiguro; Akisato Kimura; Koh Takeuchi12th IEEE International Conference on Data Mining(ICDM), 2012年
MISC
- 非負制約下における複合行列分解とそのソーシャルメディア解析への応用竹内 孝; 石黒 勝彦; 木村 昭悟; 澤田 宏情報処理学会論文誌数理モデル化と応用（TOM）, 2014年03月28日
- 非負制約下における複合行列分解竹内 孝; 石黒 勝彦; 木村 昭悟; 澤田 宏研究報告数理モデル化と問題解決（MPS）, 2013年05月16日
- sNMF : 非負値制約下における複数行列の同時分解法 : ソーシャルメディア解析を応用例として竹内 孝; 石黒 勝彦; 木村 昭悟; 澤田 宏電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 2012年10月31日
