45 citations · 103 across the 13 of their papers we have counts for
5 papers · 1 filter
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Sein Minn, Jill-Jenn Vie, Koh Takeuchi +2
Intelligent Tutoring Systems have become critically important in future learning environments. Knowledge Tracing (KT) is a crucial part of that system. It is about inferring the sk…
Crowdsourcing Evaluation of Saliency-based XAI Methods
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto +5
Understanding the reasons behind the predictions made by deep neural networks is critical for gaining human trust in many important applications, which is reflected in the increasi…
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima +4
Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities. Similar to o…
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi +1
Extracting coherent patterns is one of the standard approaches towards understanding spatio-temporal data. Dynamic mode decomposition (DMD) is a powerful tool for extracting cohere…
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Koh Takeuchi, Ryo Nishida, Hisashi Kashima +1
Crowd movement guidance has been a fascinating problem in various fields, such as easing traffic congestion in unusual events and evacuating people from an emergency-affected area.…