Koh Takeuchi - RankMe

82 papers A* 11A 8B 2C 1Misc 1Journal 36Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation. CoRR Clémence Réda, Tomas Rigaux, Hiba Bederina, Koh Takeuchi, Hisashi Kashima, Jill-Jênn Vie
2026	J	`jnl`	Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory. CoRR Shunki Uebayashi, Kento Masui, Kyohei Atarashi, Han Bao, Hisashi Kashima, Naoto Inoue, Mayu Otani, Koh Takeuchi
2026	J	`jnl`	Long-Term Outlier Prediction Through Outlier Score Modeling. CoRR Yuma Aoki, Joon Park, Koh Takeuchi, Hisashi Kashima, Shinya Akimoto, Ryuichi Hashimoto, Takahiro Adachi, Takeshi Kishikawa, Takamitsu Sasaki
2026	J	`jnl`	Modeling Dynamic Interference for Treatment Effect Estimation from Dynamic Graphs. ACM Trans. Knowl. Discov. Data Xiaofeng Lin, Han Bao, Koh Takeuchi, Yan Cui, Hisashi Kashima
2026	A	`conf`	Robust Post-hoc Score Allocation in Exams. LAK Naoyuki Kita, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima
2025	Misc	`conf`	Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. SAC Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima
2025	—	`conf`	Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. IJCNLP-AACL (long papers) Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima
2025	J	`jnl`	Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. CoRR Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima
2025	J	`jnl`	Dynamic Feature Selection from Variable Feature Sets Using Features of Features. CoRR Katsumi Takahashi, Koh Takeuchi, Hisashi Kashima
2025	J	`jnl`	Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs. CoRR Joon Park, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima
2025	J	`jnl`	Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. IEEE Trans. Neural Networks Learn. Syst. Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
2025	J	`jnl`	Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models. CoRR Yaqi Sun, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima
2025	A	`conf`	Learning Fair and Preferable Allocations through Neural Network. AAMAS Ryota Maruo, Koh Takeuchi, Hisashi Kashima
2025	A	`conf`	Learning Neural Strategy-Proof Matching Mechanism from Examples. ECAI Ryota Maruo, Koh Takeuchi, Hisashi Kashima
2025	—	`conf`	Neural Double Auction Mechanism. ADMA (3) Tsuyoshi Suehara, Koh Takeuchi, Hisashi Kashima, Satoshi Oyama, Yuko Sakurai, Makoto Yokoo
2025	J	`jnl`	Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs. CoRR Xiaoyang Xu, Xiaofeng Lin, Koh Takeuchi, Kyohei Atarashi, Hisashi Kashima
2025	J	`jnl`	Scalable individual treatment effect estimator for large graphs. Mach. Learn. Xiaofeng Lin, Han Bao, Yan Cui, Koh Takeuchi, Hisashi Kashima
2024	—	`conf`	AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. EMNLP (Findings) Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. CoRR Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. CoRR Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima
2024	—	`conf`	Evaluating Saliency Explanations in NLP by Crowdsourcing. LREC/COLING Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	Evaluating Saliency Explanations in NLP by Crowdsourcing. CoRR Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	Learning Fair and Preferable Allocations through Neural Network. CoRR Ryota Maruo, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	Learning Neural Strategy-Proof Matching Mechanism from Examples. CoRR Ryota Maruo, Koh Takeuchi, Hisashi Kashima
2024	J	`jnl`	Neural Double Auction Mechanism. CoRR Tsuyoshi Suehara, Koh Takeuchi, Hisashi Kashima, Satoshi Oyama, Yuko Sakurai, Makoto Yokoo
2024	—	`conf`	Recovering Population Dynamics from a Single Point Cloud Snapshot. PAKDD (3) Yuki Wakai, Koh Takeuchi, Hisashi Kashima
2024	—	`conf`	Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. WWW (Companion Volume) Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi
2023	J	`jnl`	Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs. Array Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima
2023	A*	`conf`	Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
2023	—	`conf`	Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1) Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima
2023	J	`jnl`	Estimating Treatment Effects Under Heterogeneous Interference. CoRR Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima
2023	J	`jnl`	Mitigating Observation Biases in Crowdsourced Label Aggregation. CoRR Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
2023	C	`conf`	Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
2023	J	`jnl`	Mitigating Voter Attribute Bias for Fair Opinion Aggregation. CoRR Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
2023	A*	`conf`	Multiview Representation Learning from Crowdsourced Triplet Comparisons. WWW Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
2023	J	`jnl`	Multiview Representation Learning from Crowdsourced Triplet Comparisons. CoRR Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima
2023	A*	`conf`	QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima
2022	J	`jnl`	Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections. SIAM J. Appl. Dyn. Syst. Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
2022	—	`conf`	District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors. ISC2 Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Shin Mizutani, Takayuki Suyama, Futoshi Naya, Naonori Ueda
2022	J	`jnl`	Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
2022	—	`conf`	Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. SIGSPATIAL/GIS Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
2022	A*	`conf`	Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
2022	B	`conf`	Mitigating Observation Biases in Crowdsourced Label Aggregation. ICPR Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima
2021	—	`conf`	Crowdsourcing Evaluation of Saliency-Based XAI Methods. ECML/PKDD (5) Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
2021	J	`jnl`	Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
2021	J	`jnl`	Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. CoRR Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
2021	—	`conf`	Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa
2021	A	`conf`	Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. AAMAS Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi
2021	—	`conf`	In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach. ITSC Shu Nakamura, Koh Takeuchi, Hisashi Kashima, Takeshi Kishikawa, Takashi Ushio, Tomoyuki Haga, Takamitsu Sasaki
2021	—	`conf`	Inter-domain Multi-relational Link Prediction. ECML/PKDD (2) Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
2021	J	`jnl`	Inter-domain Multi-relational Link Prediction. CoRR Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
2021	J	`jnl`	Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
2021	J	`jnl`	Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. CoRR Koh Takeuchi
2020	A*	`conf`	Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
2020	J	`jnl`	New Attributed Graph Clustering by Bridging Attribute and Topology Spaces. J. Inf. Process. Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
2020	J	`jnl`	Proximity Preserving Nonnegative Matrix Factorization. J. Inf. Process. Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
2020	B	`conf`	Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima
2020	—	`conf`	Succinct Trit-array Trie for Scalable Trajectory Similarity Search. SIGSPATIAL/GIS Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
2020	J	`jnl`	Succinct Trit-array Trie for Scalable Trajectory Similarity Search. CoRR Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei
2019	—	`—`	Tensor Factorization for Heterogeneous and Spatio-temporal Data. Koh Takeuchi
2019	—	`conf`	Time Series Link Prediction Using NMF. BigComp Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
2019	J	`jnl`	Time Series Link Prediction Using NMF. J. Inf. Process. Faith Wavinya Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka
2019	A	`conf`	Variational Inference of Penalized Regression with Submodular Functions. UAI Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara
2018	—	`conf`	Accelerating Urban Science by Crowdsensing with Civil Officers. UbiComp/ISWC Adjunct Takuro Yonezawa, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa
2018	A	`conf`	Few-shot learning of neural networks from scratch by pseudo example optimization. BMVC Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	J	`jnl`	Imitation networks: Few-shot learning of neural networks from scratch. CoRR Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda
2018	A*	`conf`	Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. AAAI Motoyuki Oki, Koh Takeuchi, Yukio Uematsu
2018	J	`jnl`	Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. CoRR Seiji Maekawa, Koh Takeuchi, Makoto Onizuka
2018	—	`conf`	Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors. UbiComp/ISWC Adjunct Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda
2017	A*	`conf`	Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM Koh Takeuchi, Hisashi Kashima, Naonori Ueda
2017	—	`conf`	Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors. IEEE BigData Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda
2017	A	`conf`	Localized Lasso for High-Dimensional Regression. AISTATS Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2017	A*	`conf`	SVD-Based Screening for the Graphical Lasso. IJCAI Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Scaling Locally Linear Embedding. SIGMOD Conference Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017	—	`conf`	Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries. ECML/PKDD (1) Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
2016	—	`conf`	Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis. IWSC@Middleware Koh Takeuchi, Naonori Ueda
2016	J	`jnl`	Sparse Network Lasso for Local High-dimensional Regression. CoRR Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2015	A	`conf`	Cross-domain recommendation without shared users or items by sharing latent vector distributions. AISTATS Tomoharu Iwata, Koh Takeuchi
2015	—	`conf`	Higher Order Fused Regularization for Supervised Learning with Grouped Parameters. ECML/PKDD (1) Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata
2013	A*	`conf`	Non-Negative Multiple Matrix Factorization. IJCAI Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada
2013	A*	`conf`	Non-negative Multiple Tensor Factorization. ICDM Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada
2012	A*	`conf`	Towards Automatic Image Understanding and Mining via Social Curation. ICDM Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi