Koh Takeuchi

Orcid: 0000-0002-3245-888X

According to our database1, Koh Takeuchi authored at least 50 papers between 2012 and 2024.

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Bibliography

2024
Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Recovering Population Dynamics from a Single Point Cloud Snapshot.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Evaluating Saliency Explanations in NLP by Crowdsourcing.
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.
Array, September, 2023

Multiview Representation Learning from Crowdsourced Triplet Comparisons.
Proceedings of the ACM Web Conference 2023, 2023

Estimating Treatment Effects Under Heterogeneous Interference.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Causal Effect Estimation on Hierarchical Spatial Graph Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

QTNet: Theory-based Queue Length Prediction for Urban Traffic.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mitigating Voter Attribute Bias for Fair Opinion Aggregation.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections.
SIAM J. Appl. Dyn. Syst., 2022

Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios.
CoRR, 2022

District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors.
Proceedings of the IEEE International Smart Cities Conference, 2022

Mitigating Observation Biases in Crowdsourced Label Aggregation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Estimating counterfactual treatment outcomes over time in multi-vehicle simulation.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations.
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.
J. Chem. Inf. Model., 2021

Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections.
CoRR, 2021

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

Inter-domain Multi-relational Link Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Crowdsourcing Evaluation of Saliency-Based XAI Methods.
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.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Fréchet Kernel for Trajectory Data Analysis.
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.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Proximity Preserving Nonnegative Matrix Factorization.
J. Inf. Process., 2020

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.
J. Inf. Process., 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.
Proceedings of the 37th International Conference on Machine Learning, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
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.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Tensor Factorization for Heterogeneous and Spatio-temporal Data.
PhD thesis, 2019

Time Series Link Prediction Using NMF.
J. Inf. Process., 2019

Variational Inference of Penalized Regression with Submodular Functions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning.
CoRR, 2018

Imitation networks: Few-shot learning of neural networks from scratch.
CoRR, 2018

Accelerating Urban Science by Crowdsensing with Civil Officers.
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.
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.
Proceedings of the British Machine Vision Conference 2018, 2018

Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Scaling Locally Linear Embedding.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

SVD-Based Screening for the Graphical Lasso.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Autoregressive Tensor Factorization for Spatio-Temporal Predictions.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Localized Lasso for High-Dimensional Regression.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Sparse Network Lasso for Local High-dimensional Regression.
CoRR, 2016

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis.
Proceedings of the 2nd International Workshop on Smart Cities, 2016

2015
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-domain recommendation without shared users or items by sharing latent vector distributions.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013
Non-Negative Multiple Matrix Factorization.
Proceedings of the IJCAI 2013, 2013

Non-negative Multiple Tensor Factorization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Towards Automatic Image Understanding and Mining via Social Curation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012


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