Masashi Shimbo

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 29

Top Topics

Fast Fourier Transform

Top Venues

Publications

Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
Rethinking Loss Functions for Fact Verification. EACL (2) (2024)
Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
Rethinking Loss Functions for Fact Verification. CoRR (2024)
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
Action class relation detection and classification across multiple video datasets. Pattern Recognit. Lett. 173 (2023)
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
Action Class Relation Detection and Classification Across Multiple Video Datasets. CoRR (2023)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CoRR (2023)
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. CVPR (2023)
Yushi Hirose, Masashi Shimbo, Taro Watanabe
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. CoRR (2021)
Yushi Hirose, Masashi Shimbo, Taro Watanabe
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. ICBK (2021)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings. EMNLP (Findings) (2020)
Katsuhiko Hayashi, Masashi Shimbo
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. CoRR (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
Binarized Knowledge Graph Embeddings. ECIR (1) (2019)
Van-Thuy Phi, Joan Santoso, Van-Hien Tran, Hiroyuki Shindo, Masashi Shimbo, Yuji Matsumoto
Distant Supervision for Relation Extraction via Piecewise Attention and Bag-Level Contextual Inference. IEEE Access 7 (2019)
Katsuhiko Hayashi, Masashi Shimbo
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. EMNLP/IJCNLP (1) (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
Binarized Knowledge Graph Embeddings. CoRR (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion. CoRR (2019)
Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata
Neural Tensor Networks with Diagonal Slice Matrices. NAACL-HLT (2018)
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. AAAI (2018)
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. CoRR (2018)
Yuta Kobayashi, Masashi Shimbo, Yuji Matsumoto
Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles. JCDL (2018)
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs. CoRR (2018)
Van-Thuy Phi, Joan Santoso, Masashi Shimbo, Yuji Matsumoto
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction. ACL (2) (2018)
Katsuhiko Hayashi, Masashi Shimbo
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. ACL (2) (2017)
Ai Azuma, Masashi Shimbo, Yuji Matsumoto
An Algebraic Formalization of Forward and Forward-backward Algorithms. CoRR (2017)
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach. IJCAI (2017)
Katsuhiko Hayashi, Masashi Shimbo
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. CoRR (2017)
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach. CoRR (2017)
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs. PAKDD (1) (2017)
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
Non-Linear Similarity Learning for Compositionality. AAAI (2016)
Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Coordination-Aware Dependency Parsing (Preliminary Report). IWPT (2015)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Ridge Regression, Hubness, and Zero-Shot Learning. ECML/PKDD (1) (2015)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Ridge Regression, Hubness, and Zero-Shot Learning. CoRR (2015)
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
Localized Centering: Reducing Hubness in Large-Sample Data. AAAI (2015)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests density index: identifying dense regions in a graph CoRR (2013)
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. EMNLP (2013)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
Centering Similarity Measures to Reduce Hubs. EMNLP (2013)
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto
Walk-based Computation of Contextual Word Similarity. COLING (2012)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. AAAI (2012)
Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini, Marco Saerens
Semi-supervised classification and betweenness computation on large, sparse, directed graphs. Pattern Recognit. 44 (6) (2011)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
A sum-over-paths extension of edit distances accounting for all sequence alignments. Pattern Recognit. 44 (6) (2011)
Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data. CoNLL (2011)
Tetsuo Kiso, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto
HITS-based Seed Selection and Stop List Construction for Bootstrapping. ACL (2) (2011)
Amin Mantrach, Luh Yen, Jérôme Callut, Kevin Françoisse, Masashi Shimbo, Marco Saerens
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. IEEE Trans. Pattern Anal. Mach. Intell. 32 (6) (2010)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
Normalized Sum-over-Paths Edit Distances. ICPR (2010)
Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
Bypassed alignment graph for learning coordination in Japanese sentences. ACL/IJCNLP (2) (2009)
Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji Matsumoto
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features. ACL/IJCNLP (2009)
Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto
On the properties of von Neumann kernels for link analysis. Mach. Learn. 75 (1) (2009)
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
A graph-based approach for biomedical thesaurus expansion. DTMBIO (2009)
Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms. EMNLP (2008)
Harendra Bhandari, Masashi Shimbo, Takahiko Ito, Yuji Matsumoto
Generic Text Summarization Using Probabilistic Latent Semantic Indexing. IJCNLP (2008)
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. KDD (2008)
Masashi Shimbo, Takahiko Ito, Yuji Matsumoto
Evaluation of kernel-based link analysis measures on research paper recommendation. JCDL (2007)
Masashi Shimbo, Kazuo Hara
A Discriminative Learning Model for Coordinate Conjunctions. EMNLP-CoNLL (2007)
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. ICDE Workshops (2006)
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
Exploring Multiple Communities with Kernel-Based Link Analysis. PKDD (2006)
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto
Application of kernels to link analysis. KDD (2005)
Masashi Shimbo, Toru Ishida
Controlling the learning process of real-time heuristic search. Artif. Intell. 146 (1) (2003)
Masashi Shimbo, Takahiro Yamasaki, Yuji Matsumoto
Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts. Active Mining (2003)
Masashi Shimbo, Toru Ishida
Towards Real-Time Search with Inadmissible Heuristics. ECAI (2000)
Toru Ishida, Masashi Shimbo
Improving the Learning Efficiencies of Realtime Search. AAAI/IAAI, Vol. 1 (1996)