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Koh Takeuchi
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2020 – today
- 2024
- [c39]Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima:
Evaluating Saliency Explanations in NLP by Crowdsourcing. LREC/COLING 2024: 6431-6443 - [c38]Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. EMNLP (Findings) 2024: 1847-1856 - [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
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
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
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES 2023: 170-180 - [c34]Koh Takeuchi
Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD 2023: 2145-2154 - [c33]Ryu Shirakami
QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD 2023: 4832-4841 - [c32]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu
Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1) 2023: 576-592 - [c31]Xiaotian Lu
Multiview Representation Learning from Crowdsourced Triplet Comparisons. WWW 2023: 3827-3836 - [i14]Xiaotian Lu
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
Estimating Treatment Effects Under Heterogeneous Interference. CoRR abs/2309.13884 (2023) - 2022
- [j5]Naoya Takeishi
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
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
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
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
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [j3]Seiji Maekawa
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
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
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
SVD-Based Screening for the Graphical Lasso. IJCAI 2017: 1682-1688 - [c8]Koh Takeuchi, Yoshinobu Kawahara
Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) 2017: 582-598 - [c7]Yasuhiro Fujiwara, Naoki Marumo
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
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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last updated on 2024-11-18 20:43 CET by the dblp team
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