Koh Takeuchi

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 54

Top Topics

Data Collections

Link Prediction

Tensor Factorization

Causal Inference

Top Venues

J. Inf. Process.

Publications

Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima
Evaluating Saliency Explanations in NLP by Crowdsourcing. LREC/COLING (2024)
Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima
Evaluating Saliency Explanations in NLP by Crowdsourcing. CoRR (2024)
Yuki Wakai, Koh Takeuchi, Hisashi Kashima
Recovering Population Dynamics from a Single Point Cloud Snapshot. PAKDD (3) (2024)
Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi
Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. WWW (Companion Volume) (2024)
Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima
Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs. Array 19 (2023)
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima
Estimating Treatment Effects Under Heterogeneous Interference. CoRR (2023)
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima
Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1) (2023)
Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES (2023)
Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima
QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD (2023)
Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
Multiview Representation Learning from Crowdsourced Triplet Comparisons. CoRR (2023)
Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
Multiview Representation Learning from Crowdsourced Triplet Comparisons. WWW (2023)
Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD (2023)
Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
Mitigating Observation Biases in Crowdsourced Label Aggregation. CoRR (2023)
Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. CoRR (2023)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. 21 (2) (2022)
Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda
District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors. ISC2 (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. SIGSPATIAL/GIS (2022)
Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR (2022)
Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
Mitigating Observation Biases in Crowdsourced Label Aggregation. ICPR (2022)
Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI (2022)
Kei Moritsugu, Koh Takeuchi, Narutoshi Kamiya, Junichi Higo, Isao Yasumatsu, Yoshifumi Fukunishi, Ikuo Fukuda
Flexibility and Cell Permeability of Cyclic Ras-Inhibitor Peptides Revealed by the Coupled Nosé-Hoover Equation. J. Chem. Inf. Model. 61 (4) (2021)
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Crowdsourcing Evaluation of Saliency-Based XAI Methods. ECML/PKDD (5) (2021)
Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa
Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS (2021)
Koh Takeuchi
Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. CoRR (2021)
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Inter-domain Multi-relational Link Prediction. CoRR (2021)
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Inter-domain Multi-relational Link Prediction. ECML/PKDD (2) (2021)
Shu Nakamura, Koh Takeuchi, Hisashi Kashima, Takeshi Kishikawa, Takashi Ushio, Tomoyuki Haga, Takamitsu Sasaki
In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach. ITSC (2021)
Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. AAMAS (2021)
Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR (2021)
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR (2021)
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR (2021)
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. CoRR (2020)
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. SIGSPATIAL/GIS (2020)
Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA (2020)
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
New Attributed Graph Clustering by Bridging Attribute and Topology Spaces. J. Inf. Process. 28 (2020)
Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML (2020)
Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
Proximity Preserving Nonnegative Matrix Factorization. J. Inf. Process. 28 (2020)
Faith W. Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
Time Series Link Prediction Using NMF. BigComp (2019)
Faith W. Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
Time Series Link Prediction Using NMF. J. Inf. Process. 27 (2019)
Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara
Variational Inference of Penalized Regression with Submodular Functions. UAI (2019)
Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. CoRR (2018)
Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
Imitation networks: Few-shot learning of neural networks from scratch. CoRR (2018)
Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda
Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors. UbiComp/ISWC Adjunct (2018)
Motoyuki Oki, Koh Takeuchi, Yukio Uematsu
Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. AAAI (2018)
Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC (2018)
Takuro Yonezawa, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa
Accelerating Urban Science by Crowdsensing with Civil Officers. UbiComp/ISWC Adjunct (2018)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
SVD-Based Screening for the Graphical Lasso. IJCAI (2017)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
Scaling Locally Linear Embedding. SIGMOD Conference (2017)
Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda
Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors. IEEE BigData (2017)
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
Localized Lasso for High-Dimensional Regression. AISTATS (2017)
Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) (2017)
Koh Takeuchi, Hisashi Kashima, Naonori Ueda
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM (2017)
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
Sparse Network Lasso for Local High-dimensional Regression. CoRR (2016)
Koh Takeuchi, Naonori Ueda
Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. IWSC@Middleware (2016)
Tomoharu Iwata, Koh Takeuchi
Cross-domain recommendation without shared users or items by sharing latent vector distributions. AISTATS (2015)
Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) (2015)
Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada
Non-Negative Multiple Matrix Factorization. IJCAI (2013)
Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada
Non-negative Multiple Tensor Factorization. ICDM (2013)
Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi
Towards Automatic Image Understanding and Mining via Social Curation. ICDM (2012)