Koh Takeuchi

According to our database, Koh Takeuchi authored at least 53 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Neural Strategy-Proof Matching Mechanism from Examples.

Ryota Maruo, Koh Takeuchi, Hisashi Kashima

CoRR, 2024

Learning Fair and Preferable Allocations through Neural Network.

Ryota Maruo, Koh Takeuchi, Hisashi Kashima

CoRR, 2024

Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways.

Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Recovering Population Dynamics from a Single Point Cloud Snapshot.

Yuki Wakai, Koh Takeuchi, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses.

Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Evaluating Saliency Explanations in NLP by Crowdsourcing.

Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs.

Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima

Array, September, 2023

Multiview Representation Learning from Crowdsourced Triplet Comparisons.

Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima

Proceedings of the ACM Web Conference 2023, 2023

Estimating Treatment Effects Under Heterogeneous Interference.

Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Causal Effect Estimation on Hierarchical Spatial Graph Data.

Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

QTNet: Theory-based Queue Length Prediction for Urban Traffic.

Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mitigating Voter Attribute Bias for Fair Opinion Aggregation.

Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections.

Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara

SIAM J. Appl. Dyn. Syst., 2022

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios.

Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

CoRR, 2022

District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors.

Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda

Proceedings of the IEEE International Smart Cities Conference, 2022

Mitigating Observation Biases in Crowdsourced Label Aggregation.

Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation.

Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations.

Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flexibility and Cell Permeability of Cyclic Ras-Inhibitor Peptides Revealed by the Coupled Nosé-Hoover Equation.

Kei Moritsugu, Koh Takeuchi, Narutoshi Kamiya, Junichi Higo, Isao Yasumatsu, Yoshifumi Fukunishi, Ikuo Fukuda

J. Chem. Inf. Model., 2021

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections.

Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara

CoRR, 2021

Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.

Koh Takeuchi

CoRR, 2021

Inter-domain Multi-relational Link Prediction.

Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Crowdsourcing Evaluation of Saliency-Based XAI Methods.

Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

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 Sasaki

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Fréchet Kernel for Trajectory Data Analysis.

Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.

Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Proximity Preserving Nonnegative Matrix Factorization.

Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2020

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

J. Inf. Process., 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

Proceedings of the 37th International Conference on Machine Learning, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.

Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.

Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Tensor Factorization for Heterogeneous and Spatio-temporal Data.

Koh Takeuchi

PhD thesis, 2019

Time Series Link Prediction Using NMF.

Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2019

Variational Inference of Penalized Regression with Submodular Functions.

Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning.

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

CoRR, 2018

Imitation networks: Few-shot learning of neural networks from scratch.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2018

Accelerating Urban Science by Crowdsensing with Civil Officers.

Takuro Yonezawa, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors.

Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Few-shot learning of neural networks from scratch by pseudo example optimization.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

Proceedings of the British Machine Vision Conference 2018, 2018

Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.

Motoyuki Oki, Koh Takeuchi, Yukio Uematsu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Scaling Locally Linear Embedding.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

SVD-Based Screening for the Graphical Lasso.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Autoregressive Tensor Factorization for Spatio-Temporal Predictions.

Koh Takeuchi, Hisashi Kashima, Naonori Ueda

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors.

Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Localized Lasso for High-Dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Sparse Network Lasso for Local High-dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

CoRR, 2016

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis.

Koh Takeuchi, Naonori Ueda

Proceedings of the 2nd International Workshop on Smart Cities, 2016

2015

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-domain recommendation without shared users or items by sharing latent vector distributions.

Tomoharu Iwata, Koh Takeuchi

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Non-Negative Multiple Matrix Factorization.

Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Proceedings of the IJCAI 2013, 2013

Non-negative Multiple Tensor Factorization.

Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Towards Automatic Image Understanding and Mining via Social Curation.

Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi

Proceedings of the 12th IEEE International Conference on Data Mining, 2012