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Shintaro Fukushima
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2020 – today
- 2024
- [c13]Shintaro Fukushima
, Kenji Yamanishi:
Graph Community Augmentation with GMM-Based Modeling in Latent Space. ICDM 2024: 111-120 - [c12]Yuma Taguchi, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima, Katsushi Sanda:
Network-Wide Traffic Volume Estimation Using Joint Matrix Factorization with Traffic Flow Conservation Law. ITSC 2024: 952-958 - [c11]Yuta Fukasawa, Kota Yamada, Yoshinao Ishii, Takeyuki Sasai, Shintaro Fukushima:
Estimating Reduction in Travel Time Based on Large Scale Driving Data from Connected Vehicles. ITSC 2024: 972-979 - [c10]Yusuke Yamaura, Yuho Yokoi, Yoshinao Ishii, Shintaro Fukushima:
Empirical Data-Driven Approach to Eco-Friendly Deceleration. ITSC 2024: 3417-3424 - [c9]Hiroki Taniai, Yusuke Yamaura, Shintaro Fukushima, Junichiro Kadomoto, Hidetsugu Irie:
A Convenient Approach for Lane-Level Congestion Detection with On-Board Camera Images and Vehicle Data. ITSC 2024: 4005-4012 - [c8]Tsukasa Ishiguro, Tateyuki Sasai, Shintaro Fukushima
Leveraging trajectory simplification for efficient map-matching on road network. MDM 2024: 265-270 - [i8]Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima:
Multimodal Point-of-Interest Recommendation. CoRR abs/2410.03265 (2024) - [i7]Shintaro Fukushima, Kenji Yamanishi
Graph Community Augmentation with GMM-based Modeling in Latent Space. CoRR abs/2412.01163 (2024) - 2023
- [c7]Renhe Jiang
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI 2023: 8078-8086 - [c6]Xiaohang Xu
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. SIGSPATIAL/GIS 2023: 94:1-94:10 - [c5]Shintaro Fukushima
Balancing Summarization and Change Detection in Graph Streams. ICDM 2023: 1025-1030 - [c4]Yuta Fukasawa, Yuho Yokoi, Kota Yamada, Takeyuki Sasai, Shintaro Fukushima:
Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events. ITSC 2023: 2618-2625 - [i6]Xiaohang Xu
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. CoRR abs/2310.01224 (2023) - [i5]Shintaro Fukushima, Kenji Yamanishi
Balancing Summarization and Change Detection in Graph Streams. CoRR abs/2311.18694 (2023) - 2022
- [c3]Jiawei Yong, Yuichi Wakabayashi, Akihiro Okayasu, Reiji Miki, Takeyuki Sasai, Masaaki Inoue
Estimating Total Traffic Volume with Statistical Modeling Approach. ITSC 2022: 304-309 - [i4]Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR abs/2211.14701 (2022) - 2021
- [c2]Shintaro Fukushima
Graph Summarization with Latent Variable Probabilistic Models. COMPLEX NETWORKS 2021: 428-440 - 2020
- [c1]Shintaro Fukushima
Detecting Hierarchical Changes in Latent Variable Models. ICDM 2020: 1028-1033 - [i3]Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi:
Online Robust and Adaptive Learning from Data Streams. CoRR abs/2007.12160 (2020) - [i2]Kenji Yamanishi, Linchuan Xu, Ryo Yuki, Shintaro Fukushima, Chuan-hao Lin:
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis. CoRR abs/2007.15179 (2020) - [i1]Shintaro Fukushima, Kenji Yamanishi:
Detecting Hierarchical Changes in Latent Variable Models. CoRR abs/2011.09465 (2020)
2010 – 2019
- 2019
- [j2]Shintaro Fukushima
Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle. Entropy 21(12): 1134 (2019) - 2018
- [j1]Kenji Yamanishi
Model Change Detection With the MDL Principle. IEEE Trans. Inf. Theory 64(9): 6115-6126 (2018)
Coauthor Index
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