Koji Maruhashi

35 papers A* 5B 4Misc 3Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Using causal discovery and pattern mining methods for group-specific policy-making: An agent-based model analysis method.
Ann. Math. Artif. Intell.
Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori
2025 B conf
A framework for designing explainable micro-level customer behavior models using causal discovery for retail management.
SMC
Shuang Chang, Shohei Yamane, Koji Maruhashi
2025 A* conf
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning.
AAAI
Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi
2025 J jnl
Long-term care comparative studies by agent-based simulation: a computational framework and a case study.
J. Comput. Soc. Sci.
Shuang Chang, Koji Maruhashi
2024 Misc conf
Causal-Based Rack Layout Optimization in Retail: Incorporating Agent-Based Modeling and Causal Discovery.
WSC
Shuang Chang, Shohei Yamane, Koji Maruhashi
2024 J jnl
DCDILP: a distributed learning method for large-scale causal structure learning.
CoRR
Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi
2024 — conf
Subgrouping Causal Networks of Disease Onset in Large-scale Health and Medical Data using Supercomputer Fugaku.
BIBM
Taisei Tosaki, Eiichiro Uchino, Yohei Harada, Minoru Sakuragi, Yusuke Koyanagi, Seiji Okajima, Hirofumi Suzuki, Kentaro Kanamori, Masahiro Asaoka, Kouji Kurihara, Takuya Takagi, Koji Maruhashi, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno
2023 — conf
A Latent Diffusion Model for Protein Structure Generation.
LoG
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
2023 J jnl
A Latent Diffusion Model for Protein Structure Generation.
CoRR
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
2023 Misc conf
An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool.
WSC
Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi
2023 A* conf
Automated Data Augmentations for Graph Classification.
ICLR
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 J jnl
Automated Data Augmentations for Graph Classification.
CoRR
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 A* conf
Generating 3D Molecules for Target Protein Binding.
ICML
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 J jnl
Generating 3D Molecules for Target Protein Binding.
CoRR
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 J jnl
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.
CoRR
Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag
2022 B conf
Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making.
PRIMA
Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori
2021 J jnl
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures.
CoRR
Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi
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 — conf
Graph-based Massive Open Online Course (MOOC) Dropout Prediction using Clickstream Data in Virtual Learning Environment.
ICCSE
Izumi Nitta, Ryo Ishizaki, Masafumi Shingu, Satoshi Nakashima, Koji Maruhashi, Arseny Tolmachev, Masaru Todoriki
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 — conf
Semi-Automatic Reliable Explanations for Prediction in Graphs.
CCWC
Masaru Todoriki, Masafumi Shingu, Shotaro Yano, Arseny Tolmachev, Tao Komikado, Koji Maruhashi
2020 J jnl
Linear Tensor Projection Revealing Nonlinearity.
CoRR
Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano
2018 A* conf
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks.
AAAI
Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai
2016 J jnl
TOPASE: Detection and Prevention of Brute Force Attacks with Disciplined IPs from IDS Logs.
J. Inf. Process.
Satomi Saito, Koji Maruhashi, Masahiko Takenaka, Satoru Torii
2015 B conf
TOPASE: Detection of brute force attacks used disciplined IPs from IDS log.
IM
Satomi Honda, Yuki Unno, Koji Maruhashi, Masahiko Takenaka, Satoru Torii
2014 — conf
MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor.
PAKDD (2)
Koji Maruhashi, Nobuhiro Yugami
2012 — conf
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.
ICDM Workshops
Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos
2012 J jnl
MultiAspectForensics: mining large heterogeneous networks using tensor.
Int. J. Web Eng. Technol.
Koji Maruhashi, Fan Guo, Christos Faloutsos
2011 B conf
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis.
ASONAM
Koji Maruhashi, Fan Guo, Christos Faloutsos
2010 — conf
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs.
ICDM Workshops
Koji Maruhashi, Christos Faloutsos
2010 A* conf
Metric forensics: a multi-level approach for mining volatile graphs.
KDD
Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
2006 — conf
Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model.
JSAI
Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao
2005 Misc conf
Multi-Aspect Gene Relation Analysis.
Pacific Symposium on Biocomputing
Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao, Mutsuyo Yamaguchi