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2020 – today
- 2024
[i9]Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi:
DCDILP: a distributed learning method for large-scale causal structure learning. CoRR abs/2406.10481 (2024)- 2023
- [c18]Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Automated Data Augmentations for Graph Classification. ICLR 2023 - [c17]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. LoG 2023: 29 - [c16]Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi:
An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool. WSC 2023: 138-149 - [i8]Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji:
A Latent Diffusion Model for Protein Structure Generation. CoRR abs/2305.04120 (2023) - 2022
- [c15]Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Generating 3D Molecules for Target Protein Binding. ICML 2022: 13912-13924 - [c14]Shuang Chang
, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori:
Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making. PRIMA 2022: 122-138 - [i7]Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Automated Data Augmentations for Graph Classification. CoRR abs/2202.13248 (2022) - [i6]Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Generating 3D Molecules for Target Protein Binding. CoRR abs/2204.09410 (2022) - [i5]Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag:
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. CoRR abs/2211.14221 (2022) - 2021
- [c13]Masaru Todoriki, Masafumi Shingu, Shotaro Yano, Arseny Tolmachev, Tao Komikado, Koji Maruhashi:
Semi-Automatic Reliable Explanations for Prediction in Graphs. CCWC 2021: 311-320 - [c12]Izumi Nitta, Ryo Ishizaki, Masafumi Shingu, Satoshi Nakashima, Koji Maruhashi, Arseny Tolmachev, Masaru Todoriki:
Graph-based Massive Open Online Course (MOOC) Dropout Prediction using Clickstream Data in Virtual Learning Environment. ICCSE 2021: 48-52 - [c11]Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Inter-domain Multi-relational Link Prediction. ECML/PKDD (2) 2021: 285-301 - [c10]Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-Based XAI Methods. ECML/PKDD (5) 2021: 431-446 - [i4]Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi:
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures. CoRR abs/2105.00134 (2021) - [i3]Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Inter-domain Multi-relational Link Prediction. CoRR abs/2106.06171 (2021) - [i2]Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR abs/2107.00456 (2021) - 2020
- [i1]Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano:
Linear Tensor Projection Revealing Nonlinearity. CoRR abs/2007.03912 (2020)
2010 – 2019
- 2018
- [c9]Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai:
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks. AAAI 2018: 3770-3777 - 2016
- [j2]Satomi Saito, Koji Maruhashi, Masahiko Takenaka, Satoru Torii:
TOPASE: Detection and Prevention of Brute Force Attacks with Disciplined IPs from IDS Logs. J. Inf. Process. 24(2): 217-226 (2016) - 2015
- [c8]Satomi Honda, Yuki Unno, Koji Maruhashi, Masahiko Takenaka, Satoru Torii:
TOPASE: Detection of brute force attacks used disciplined IPs from IDS log. IM 2015: 1361-1364 - 2014
- [c7]Koji Maruhashi, Nobuhiro Yugami:
MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor. PAKDD (2) 2014: 474-485 - 2012
- [j1]Koji Maruhashi, Fan Guo, Christos Faloutsos:
MultiAspectForensics: mining large heterogeneous networks using tensor. Int. J. Web Eng. Technol. 7(4): 302-322 (2012) - [c6]Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos:
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. ICDM Workshops 2012: 234-241 - 2011
- [c5]Koji Maruhashi, Fan Guo, Christos Faloutsos:
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis. ASONAM 2011: 203-210 - 2010
- [c4]Koji Maruhashi, Christos Faloutsos:
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs. ICDM Workshops 2010: 1328-1337 - [c3]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172
2000 – 2009
- 2006
- [c2]Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao:
Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model. JSAI 2006: 42-53 - 2005
- [c1]Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao, Mutsuyo Yamaguchi:
Multi-Aspect Gene Relation Analysis. Pacific Symposium on Biocomputing 2005
Coauthor Index
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last updated on 2024-08-14 23:18 CEST by the dblp team
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