Towards Automatic Image Understanding and Mining via Social Curation. - Katsuhiko Ishiguro; Akisato Kimura; Koh Takeuchi 001 (ICDM, 2012)

Non-negative Multiple Tensor Factorization. - Koh Takeuchi 001; Ryota Tomioka; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada (ICDM, 2013)

Non-Negative Multiple Matrix Factorization. - Koh Takeuchi 001; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada (IJCAI, 2013)

Cross-domain recommendation without shared users or items by sharing latent vector distributions. - Tomoharu Iwata; Koh Takeuchi 001 (AISTATS, 2015)

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. - Koh Takeuchi 001; Yoshinobu Kawahara; Tomoharu Iwata (ECML/PKDD (1), 2015)

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. - Koh Takeuchi 001; Naonori Ueda (IWSC@Middleware, 2016)

Sparse Network Lasso for Local High-dimensional Regression. - Makoto Yamada; Koh Takeuchi 001; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski (CoRR, 2016)

Localized Lasso for High-Dimensional Regression. - Makoto Yamada; Koh Takeuchi 001; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski (AISTATS, 2017)

Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors. - Yasue Kishino; Koh Takeuchi 001; Yoshinari Shirai; Futoshi Naya; Naonori Ueda (IEEE BigData, 2017)

Autoregressive Tensor Factorization for Spatio-Temporal Predictions. - Koh Takeuchi 001; Hisashi Kashima; Naonori Ueda (ICDM, 2017)

SVD-Based Screening for the Graphical Lasso. - Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi 001; Hideaki Kim; Tomoharu Iwata; Naonori Ueda (IJCAI, 2017)

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. - Koh Takeuchi 001; Yoshinobu Kawahara; Tomoharu Iwata (ECML/PKDD (1), 2017)

Scaling Locally Linear Embedding. - Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi 001; Hideaki Kim; Tomoharu Iwata; Naonori Ueda (SIGMOD Conference, 2017)

Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. - Motoyuki Oki; Koh Takeuchi 001; Yukio Uematsu (AAAI, 2018)

Few-shot learning of neural networks from scratch by pseudo example optimization. - Akisato Kimura; Zoubin Ghahramani; Koh Takeuchi 001; Tomoharu Iwata; Naonori Ueda (BMVC, 2018)

Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors. - Yasue Kishino; Yoshinari Shirai; Koh Takeuchi 001; Takayuki Suyama; Futoshi Naya; Naonori Ueda (UbiComp/ISWC Adjunct, 2018)

Accelerating Urban Science by Crowdsensing with Civil Officers. - Takuro Yonezawa; Koh Takeuchi 001; Tomotaka Ito; Mina Sakamura; Yasue Kishino; Futoshi Naya; Naonori Ueda; Jin Nakazawa (UbiComp/ISWC Adjunct, 2018)

Imitation networks: Few-shot learning of neural networks from scratch. - Akisato Kimura; Zoubin Ghahramani; Koh Takeuchi 001; Tomoharu Iwata; Naonori Ueda (CoRR, 2018)

Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. - Seiji Maekawa; Koh Takeuchi 001; Makoto Onizuka (CoRR, 2018)

Variational Inference of Penalized Regression with Submodular Functions. - Koh Takeuchi 001; Yuichi Yoshida; Yoshinobu Kawahara (UAI, 2019)

Time Series Link Prediction Using NMF. - Faith Wavinya Mutinda; Atsuhiro Nakashima; Koh Takeuchi 001; Yuya Sasaki 001; Makoto Onizuka (J. Inf. Process., 2019)

Tensor Factorization for Heterogeneous and Spatio-temporal Data. - Koh Takeuchi 001 (2019)

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. - Luu Huu Phuc; Koh Takeuchi 001; Makoto Yamada; Hisashi Kashima (DSAA, 2020)

Succinct Trit-array Trie for Scalable Trajectory Similarity Search. - Shunsuke Kanda; Koh Takeuchi 001; Keisuke Fujii 001; Yasuo Tabei (SIGSPATIAL/GIS, 2020)

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. - Yasutoshi Ida; Sekitoshi Kanai; Yasuhiro Fujiwara; Tomoharu Iwata; Koh Takeuchi 001; Hisashi Kashima (ICML, 2020)

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces. - Seiji Maekawa; Koh Takeuchi 001; Makoto Onizuka (J. Inf. Process., 2020)

Proximity Preserving Nonnegative Matrix Factorization. - Yuya Ogawa; Koh Takeuchi 001; Yuya Sasaki 001; Makoto Onizuka (J. Inf. Process., 2020)

Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. - Koh Takeuchi 001; Ryo Nishida; Hisashi Kashima; Masaki Onishi (AAMAS, 2021)

Fréchet Kernel for Trajectory Data Analysis. - Koh Takeuchi 001; Masaaki Imaizumi; Shunsuke Kanda; Yasuo Tabei; Keisuke Fujii 001; Ken Yoda; Masakazu Ishihata; Takuya Maekawa (SIGSPATIAL/GIS, 2021)

In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach. - Shu Nakamura; Koh Takeuchi 001; Hisashi Kashima; Takeshi Kishikawa; Takashi Ushio; Tomoyuki Haga; Takamitsu Sasaki (ITSC, 2021)

Crowdsourcing Evaluation of Saliency-Based XAI Methods. - Xiaotian Lu; Arseny Tolmachev; Tatsuya Yamamoto; Koh Takeuchi 001; Seiji Okajima; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi Kashima (ECML/PKDD (5), 2021)

Inter-domain Multi-relational Link Prediction. - Luu Huu Phuc; Koh Takeuchi 001; Seiji Okajima; Arseny Tolmachev; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi Kashima (ECML/PKDD (2), 2021)

Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. - Koh Takeuchi 001 (CoRR, 2021)

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. - Naoya Takeishi; Keisuke Fujii 001; Koh Takeuchi 001; Yoshinobu Kawahara (CoRR, 2021)

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. - Sein Minn; Jill-Jênn Vie; Koh Takeuchi 001; Hisashi Kashima; Feida Zhu 001 (AAAI, 2022)

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (SIGSPATIAL/GIS, 2022)

Mitigating Observation Biases in Crowdsourced Label Aggregation. - Ryosuke Ueda; Koh Takeuchi 001; Hisashi Kashima (ICPR, 2022)

District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors. - Yasue Kishino; Yoshinari Shirai; Koh Takeuchi 001; Shin Mizutani; Takayuki Suyama; Futoshi Naya; Naonori Ueda (ISC2, 2022)

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (CoRR, 2022)

Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. - Naoya Takeishi; Keisuke Fujii 001; Koh Takeuchi 001; Yoshinobu Kawahara (SIAM J. Appl. Dyn. Syst., 2022)

Mitigating Voter Attribute Bias for Fair Opinion Aggregation. - Ryosuke Ueda; Koh Takeuchi 001; Hisashi Kashima (AIES, 2023)

QTNet: Theory-based Queue Length Prediction for Urban Traffic. - Ryu Shirakami; Toshiya Kitahara; Koh Takeuchi 001; Hisashi Kashima (KDD, 2023)

Causal Effect Estimation on Hierarchical Spatial Graph Data. - Koh Takeuchi 001; Ryo Nishida; Hisashi Kashima; Masaki Onishi (KDD, 2023)

Estimating Treatment Effects Under Heterogeneous Interference. - Xiaofeng Lin 001; Guoxi Zhang; Xiaotian Lu; Han Bao 002; Koh Takeuchi 001; Hisashi Kashima (ECML/PKDD (1), 2023)

Multiview Representation Learning from Crowdsourced Triplet Comparisons. - Xiaotian Lu; Jiyi Li; Koh Takeuchi 001; Hisashi Kashima (WWW, 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 001; Takahiro Kanno; Koji Fujimoto; Tetsuro Miyazaki; Toshihiro Kawase; Toshihiko Sato; Kenji Kawashima (Array, 2023)

Evaluating Saliency Explanations in NLP by Crowdsourcing. - Xiaotian Lu; Jiyi Li; Zhen Wan; Xiaofeng Lin 001; Koh Takeuchi 001; Hisashi Kashima (LREC/COLING, 2024)

AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. - Xiaotian Lu; Jiyi Li; Koh Takeuchi 001; Hisashi Kashima (EMNLP (Findings), 2024)

Recovering Population Dynamics from a Single Point Cloud Snapshot. - Yuki Wakai; Koh Takeuchi 001; Hisashi Kashima (PAKDD (3), 2024)

Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. - Yohei Kodama; Yuki Akeyama; Yusuke Miyazaki 005; Koh Takeuchi 001 (WWW (Companion Volume), 2024)

Learning Neural Strategy-Proof Matching Mechanism from Examples. - Ryota Maruo; Koh Takeuchi 001; Hisashi Kashima (CoRR, 2024)

Neural Double Auction Mechanism. - Tsuyoshi Suehara; Koh Takeuchi 001; Hisashi Kashima; Satoshi Oyama; Yuko Sakurai; Makoto Yokoo (CoRR, 2024)

Learning Fair and Preferable Allocations through Neural Network. - Ryota Maruo; Koh Takeuchi 001; Hisashi Kashima (AAMAS, 2025)

Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. - Yasuaki Sumita; Koh Takeuchi 001; Hisashi Kashima (SAC, 2025)

Scalable individual treatment effect estimator for large graphs. - Xiaofeng Lin 001; Han Bao 002; Yan Cui 008; Koh Takeuchi 001; Hisashi Kashima (Mach. Learn., 2025)

Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs. - Joon Park; Kyohei Atarashi; Koh Takeuchi 001; Hisashi Kashima (CoRR, 2025)

Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models. - Yaqi Sun; Kyohei Atarashi; Koh Takeuchi 001; Hisashi Kashima (CoRR, 2025)

Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. - Keisuke Fujii 001; Koh Takeuchi 001; Atsushi Kuribayashi; Naoya Takeishi; Yoshinobu Kawahara; Kazuya Takeda (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dynamic Feature Selection from Variable Feature Sets Using Features of Features. - Katsumi Takahashi; Koh Takeuchi 001; Hisashi Kashima (CoRR, 2025)

Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. - Lijia Liu; Takumi Kondo; Kyohei Atarashi; Koh Takeuchi 001; Jiyi Li; Shigeru Saito; Hisashi Kashima (CoRR, 2025)