Tetsuji Kuboyama

Beyond ab initio reaction simulator: An application to GaN metalorganic vapor phase epitaxy

A. Kusaba, S. Nitta, K. Shiraishi, T. Kuboyama, Y. Kangawa

Applied Physics Letters, 121(16), Oct 17, 2022 Peer-reviewed

Exploration of a large-scale reconstructed structure on GaN(0001) surface by Bayesian optimization

A. Kusaba, Y. Kangawa, T. Kuboyama, A. Oshiyama

Applied Physics Letters, 120(2), Jan 10, 2022 Peer-reviewed

A new combination of Hankel and sparsity-promoting dynamic mode decompositions and its application to the prediction of plasma turbulence

Akira Kusaba, Tetsuji Kuboyama, Kilho Shin, Makoto Sasaki, Shigeru Inagaki

Japanese Journal of Applied Physics, 61(SA), Jan, 2022 Peer-reviewed

Nearest-neighbor Search from Large Datasets using Narrow Sketches.

Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM, 401-410, 2022 Peer-reviewed

Random Number Generators in Training of Contextual Neural Networks.

Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto

Intelligent Information and Database Systems - 13th Asian Conference(ACIIDS), 12672 LNAI 717-730, 2021 Peer-reviewed

Analyzing temporal patterns of topic diversity using graph clustering

Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno

The Journal of Supercomputing, 77(5) 4375-4388, Oct 1, 2020 Peer-reviewed

Twitter Topic Progress Visualization using Micro-Clustering

Takako Hashimoto, Akira Kusaba, Dave Shepard, Tetsuji Kuboyama, Kilho Shin, Takeaki Uno

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 585-592, Feb 22, 2020 Peer-reviewed

A Fast Algorithm for Unsupervised Feature Value Selection

Kilho Shin, Kenta Okumoto, David Shepard, Tetsuji Kuboyama, Takako Hashimoto, Hiroaki Ohshima

Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 203-213, Feb, 2020 Peer-reviewed

Sparsity-Promoting Dynamic Mode Decomposition of Plasma Turbulence

Akira Kusaba, Tetsuji Kuboyama, Shigeru Inagaki

Plasma and Fusion Research, 15 1301001:1-1301001:4, Jan 6, 2020 Peer-reviewed

Annealing by Increasing Resampling

Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11996 LNCS 71-92, 2020 Peer-reviewed

Unsupervised Clustering based on Feature-value / Instance Transposition Selection.

Akira Kusaba, Takako Hashimoto, Kilho Shin, David Lawrence Shepard, Tetsuji Kuboyama

2020 IEEE Region 10 Conference(TENCON), 2020-November 1192-1197, 2020 Peer-reviewed

Pivot Selection for Narrow Sketches by Optimization Algorithms.

Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

Similarity Search and Applications - 13th International Conference(SISAP), 33-46, 2020 Peer-reviewed

Predictive Nonlinear Modeling by Koopman Mode Decomposition.

Akira Kusaba, Kilho Shin, Dave Shepard 0001, Tetsuji Kuboyama

20th International Conference on Data Mining Workshops, 811-819, 2020 Peer-reviewed

Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering.

Takako Hashimoto, Kilho Shin, David Lawrence Shepard, Tetsuji Kuboyama

11th International Conference on Awareness Science and Technology(iCAST), 1-6, 2020

Unsupervised Feature Value Selection Based on Explainability.

Kilho Shin, Kenta Okumoto, David Lawrence Shepard, Akira Kusaba, Takako Hashimoto, Jorge Amari, Keisuke Murota, Junnosuke Takai, Tetsuji Kuboyama, Hiroaki Ohshima

Agents and Artificial Intelligence, 12613 LNAI 421-444, 2020 Peer-reviewed

Unsupervised Rumor Detection on Twitter using Topic Homogeneity.

David Lawrence Shepard, Takako Hashimoto, Kilho Shin, Takeaki Uno, Tetsuji Kuboyama

Digital Humanities 2020, 2020 Peer-reviewed

Guest Editorial: Special issue on Discovery Science.

Takuya Kida, Tetsuji Kuboyama, Takeaki Uno, Akihiro Yamamoto

Mach. Learn., 109(6) 1145-1146, 2020

Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization

Akira Kusaba, Tetsuji Kuboyama, Takako Hashimoto

Proceedings of the 10th International Conference on Awareness Science and Technology (iCAST 2019), 1-6, Oct 23, 2019 Peer-reviewed

Annealing by increasing resampling in the unified view of simulated annealing

Yasunobu Imamura, Naoya Higuchi, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama

ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 173-180, 2019 Peer-reviewed

Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching

Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11919 LNAI 240-252, 2019 Peer-reviewed

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