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ORCIDKoh Takeuchi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c38]Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima:
Evaluating Saliency Explanations in NLP by Crowdsourcing. LREC/COLING 2024: 6431-6443- [c37]Yuki Wakai, Koh Takeuchi, Hisashi Kashima:
Recovering Population Dynamics from a Single Point Cloud Snapshot. PAKDD (3) 2024: 302-315 - [c36]Yohei Kodama
, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi:
Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. WWW (Companion Volume) 2024: 762-765 - [i16]Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima:
Evaluating Saliency Explanations in NLP by Crowdsourcing. CoRR abs/2405.10767 (2024) - [i15]Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. CoRR abs/2410.01246 (2024) - 2023
- [j6]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: 100308 (2023) - [c35]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES 2023: 170-180 - [c34]Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi:
Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD 2023: 2145-2154 - [c33]Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima:
QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD 2023: 4832-4841 - [c32]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima:
Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1) 2023: 576-592 - [c31]Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
Multiview Representation Learning from Crowdsourced Triplet Comparisons. WWW 2023: 3827-3836 - [i14]Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
Multiview Representation Learning from Crowdsourced Triplet Comparisons. CoRR abs/2302.03987 (2023) - [i13]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Observation Biases in Crowdsourced Label Aggregation. CoRR abs/2302.13100 (2023) - [i12]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. CoRR abs/2307.10749 (2023) - [i11]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima:
Estimating Treatment Effects Under Heterogeneous Interference. CoRR abs/2309.13884 (2023) - 2022
- [j5]Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara:
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. 21(2): 1030-1058 (2022) - [c30]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI 2022: 12810-12818 - [c29]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: 7:1-7:4 - [c28]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Observation Biases in Crowdsourced Label Aggregation. ICPR 2022: 1171-1177 - [c27]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: 1-7 - [i10]Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR abs/2206.01900 (2022) - 2021
- [j4]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): 1921-1930 (2021) - [c26]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: 1290-1298 - [c25]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: 221-224 - [c24]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: 1286-1291 - [c23]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: 285-301 - [c22]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: 431-446 - [i9]Koh Takeuchi:
Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. CoRR abs/2102.03980 (2021) - [i8]Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara:
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR abs/2102.09973 (2021) - [i7]Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Inter-domain Multi-relational Link Prediction. CoRR abs/2106.06171 (2021) - [i6]Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR abs/2107.00456 (2021) - [i5]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [j3]Seiji Maekawa, Koh Takeuchi, Makoto Onizuka:
New Attributed Graph Clustering by Bridging Attribute and Topology Spaces. J. Inf. Process. 28: 427-435 (2020) - [j2]Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Proximity Preserving Nonnegative Matrix Factorization. J. Inf. Process. 28: 445-452 (2020) - [c21]Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima:
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA 2020: 245-254 - [c20]Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei:
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. SIGSPATIAL/GIS 2020: 518-529 - [c19]Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima:
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML 2020: 4594-4603 - [i4]Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei:
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. CoRR abs/2005.10917 (2020)
2010 – 2019
- 2019
- [b1]Koh Takeuchi:
Tensor Factorization for Heterogeneous and Spatio-temporal Data. Kyoto University, Japan, 2019 - [j1]Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Time Series Link Prediction Using NMF. J. Inf. Process. 27: 752-761 (2019) - [c18]Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka:
Time Series Link Prediction Using NMF. BigComp 2019: 1-8 - [c17]Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara:
Variational Inference of Penalized Regression with Submodular Functions. UAI 2019: 1202-1211 - 2018
- [c16]Motoyuki Oki, Koh Takeuchi, Yukio Uematsu:
Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. AAAI 2018: 7786-7792 - [c15]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC 2018: 105 - [c14]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: 110-113 - [c13]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: 303-306 - [i3]Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda:
Imitation networks: Few-shot learning of neural networks from scratch. CoRR abs/1802.03039 (2018) - [i2]Seiji Maekawa, Koh Takeuchi, Makoto Onizuka:
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. CoRR abs/1810.00946 (2018) - 2017
- [c12]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Localized Lasso for High-Dimensional Regression. AISTATS 2017: 325-333 - [c11]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: 4098-4104 - [c10]Koh Takeuchi, Hisashi Kashima, Naonori Ueda:
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM 2017: 1105-1110 - [c9]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
SVD-Based Screening for the Graphical Lasso. IJCAI 2017: 1682-1688 - [c8]Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata:
Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) 2017: 582-598 - [c7]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
Scaling Locally Linear Embedding. SIGMOD Conference 2017: 1479-1492 - 2016
- [c6]Koh Takeuchi, Naonori Ueda:
Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. IWSC@Middleware 2016: 5:1-5:6 - [i1]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Sparse Network Lasso for Local High-dimensional Regression. CoRR abs/1603.06743 (2016) - 2015
- [c5]Tomoharu Iwata, Koh Takeuchi:
Cross-domain recommendation without shared users or items by sharing latent vector distributions. AISTATS 2015 - [c4]Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata:
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) 2015: 577-593 - 2013
- [c3]Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada:
Non-negative Multiple Tensor Factorization. ICDM 2013: 1199-1204 - [c2]Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada:
Non-Negative Multiple Matrix Factorization. IJCAI 2013: 1713-1720 - 2012
- [c1]Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi:
Towards Automatic Image Understanding and Mining via Social Curation. ICDM 2012: 906-911
Coauthor Index
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