A Theoretical Analysis of Alignment and Edit Problems for Trees. - Tetsuji Kuboyama; Kilho Shin 001; Tetsuhiro Miyahara; Hiroshi Yasuda (ICTCS, 2005)

A Theoretical Analysis of Tree Edit Distance Measures. - Tetsuji Kuboyama; Kilho Shin 001; Tetsuhiro Miyahara (Inf. Media Technol., 2006)

Kernels Based on Distributions of Agreement Subtrees. - Kilho Shin 001; Tetsuji Kuboyama (Australasian Conference on Artificial Intelligence, 2008)

A generalization of Haussler's convolution kernel: mapping kernel. - Kilho Shin 001; Tetsuji Kuboyama (ICML, 2008)

Polynomial summaries of positive semidefinite kernels. - Kilho Shin 001; Tetsuji Kuboyama (Theor. Comput. Sci., 2009)

A Generalization of Haussler's Convolution Kernel - Mapping Kernel and Its Application to Tree Kernels. - Kilho Shin 001; Tetsuji Kuboyama (J. Comput. Sci. Technol., 2010)

Mapping kernels for trees. - Kilho Shin 001; Marco Cuturi; Tetsuji Kuboyama (ICML, 2011)

Dynamic labeling and tree kernels with gap penalties. - Kilho Shin 001; Tetsuji Kuboyama (SCIS&ISIS, 2012)

PACPs: practical access control protocols for wireless sensor networks. - Hwaseong Lee; Kilho Shin 001; Dong Hoon Lee 001 (IEEE Trans. Consumer Electron., 2012)

A Comprehensive Study of Tree Kernels. - Kilho Shin 001; Tetsuji Kuboyama (JSAI-isAI Workshops, 2013)

Super-CWC and super-LCC: Super fast feature selection algorithms. - Kilho Shin 001; Tetsuji Kuboyama; Takako Hashimoto; Dave Shepard 001 (IEEE BigData, 2015)

Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique. - Takako Hashimoto; Dave Shepard 001; Tetsuji Kuboyama; Kilho Shin 001 (ICDM Workshops, 2015)

A Geometric Theory of Feature Selection and Distance-Based Measures. - Kilho Shin 001; Adrian Pino Angulo (IJCAI, 2015)

Fast and Accurate Steepest-Descent Consistency-Constrained Algorithms for Feature Selection. - Adrian Pino Angulo; Kilho Shin 001 (MOD, 2015)

A theory of subtree matching and tree kernels based on the edit distance concept. - Kilho Shin 001 (Ann. Math. Artif. Intell., 2015)

What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake. - David Lawrence Shepard; Takako Hashimoto; Tetsuji Kuboyama; Kilho Shin 001 (DH, 2016)

Detecting Fake Sites based on HTML Structure Analysis. - Jia-Chang Xu; Kilho Shin 001; Yu-Lu Liu 001 (ICCNS, 2016)

Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC. - Takako Hashimoto; Dave Shepard 001; Tetsuji Kuboyama; Kilho Shin 001 (ICDM Workshops, 2016)

Topic life cycle extraction from big Twitter data based on community detection in bipartite networks. - Takako Hashimoto; Hiroshi Okamoto; Tetsuji Kuboyama; Kilho Shin 001 (IEEE BigData, 2017)

Missionaries, Politicians, and Boy Bands: Onlooker Behavior on Twitter During the Nepal, Kumamoto, and Ecuador Earthquakes. - David Lawrence Shepard; Takako Hashimoto; Hiroshi Okamoto; Tetsuji Kuboyama; Kilho Shin 001 (DH, 2017)

Improving Classification Accuracy by Means of the Sliding Window Method in Consistency-Based Feature Selection. - Adrian Pino Angulo; Kilho Shin 001 (DS, 2017)

Topic Extraction on Twitter Considering Author's Role Based on Bipartite Networks. - Takako Hashimoto; Tetsuji Kuboyama; Hiroshi Okamoto; Kilho Shin 001 (DS, 2017)

Topic Extraction from Millions of Tweets Based on Community Detection in Bipartite Networks. - Takako Hashimoto; Tetsuji Kuboyama; Hiroshi Okamoto; Kilho Shin 001 (EJC, 2017)

Multiple Alignments of Data Objects and Generalized Center Star Algorithm. - Kilho Shin 001; Tetsuji Kuboyama; Tetsuhiro Miyahara; Kenji Tanaka (FSDM, 2017)

sCwc/sLcc: Highly Scalable Feature Selection Algorithms. - Kilho Shin 001; Tetsuji Kuboyama; Takako Hashimoto; Dave Shepard 001 (Inf., 2017)

Parameterized Mapping Distances for Semi-Structured Data. - Kilho Shin 001; Taro Niiyama (ICAART (Revised Selected Papers), 2018)

Privacy-Preserving String Edit Distance with Moves. - Shunta Nakagawa; Tokio Sakamoto; Yoshimasa Takabatake; Tomohiro I; Kilho Shin 001; Hiroshi Sakamoto (SISAP, 2018)

Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data. - Adrian Pino Angulo; Kilho Shin 001; Camilo Velázquez-Rodríguez (Prog. Artif. Intell., 2018)

Time Series Topic Transition Based on Micro-Clustering. - Takako Hashimoto; Takeaki Uno; Tetsuji Kuboyama; Kilho Shin 001; Dave Shepard 001 (BigComp, 2019)

Fatten Features and Drop Wastes: Finding Repeaters' Reviews by Feature Generation and Feature Selection. - Naoki Muramoto; Hiromi Shiraga; Kilho Shin 001; Hiroaki Ohshima (iiWAS, 2019)

Generating Anthropomorphism of Subject and Verb by Transformation Matrix. - Katsurou Takahashi; Hiroaki Ohshima; Kilho Shin 001 (iiWAS, 2019)

Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data. - Adrian Pino Angulo; Kilho Shin 001 (Appl. Intell., 2019)

Machine learning for tree structures in fake site detection. - Taichi Ishikawa; Yu-Lu Liu 001; David Lawrence Shepard; Kilho Shin 001 (ARES, 2020)

Morphism-Based Learning for Structured Data. - Kilho Shin 001; Dave Shepard 001 (AAAI, 2020)

Unsupervised Rumor Detection on Twitter using Topic Homogeneity. - David Lawrence Shepard; Takako Hashimoto; Kilho Shin 001; Takeaki Uno; Tetsuji Kuboyama (DH, 2020)

Unsupervised Feature Value Selection Based on Explainability. - Kilho Shin 001; Kenta Okumoto; David Lawrence Shepard; Akira Kusaba; Takako Hashimoto; Jorge Amari; Keisuke Murota; Junnosuke Takai; Tetsuji Kuboyama; Hiroaki Ohshima (ICAART (Revised Selected Papers), 2020)

A Fast Algorithm for Unsupervised Feature Value Selection. - Kilho Shin 001; Kenta Okumoto; David Lawrence Shepard; Tetsuji Kuboyama; Takako Hashimoto; Hiroaki Ohshima (ICAART (2), 2020)

Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering. - Takako Hashimoto; Kilho Shin 001; David Lawrence Shepard; Tetsuji Kuboyama (iCAST, 2020)

Predictive Nonlinear Modeling by Koopman Mode Decomposition. - Akira Kusaba; Kilho Shin 001; Dave Shepard 001; Tetsuji Kuboyama (ICDM (Workshops), 2020)

Twitter Topic Progress Visualization using Micro-clustering. - Takako Hashimoto; Akira Kusaba; Dave Shepard 001; Tetsuji Kuboyama; Kilho Shin 001; Takeaki Uno (ICPRAM, 2020)

Unsupervised Clustering based on Feature-value / Instance Transposition Selection. - Akira Kusaba; Takako Hashimoto; Kilho Shin 001; David Lawrence Shepard; Tetsuji Kuboyama (TENCON, 2020)

Faster Privacy-Preserving Computation of Edit Distance with Moves. - Yohei Yoshimoto; Masaharu Kataoka; Yoshimasa Takabatake; Tomohiro I; Kilho Shin 001; Hiroshi Sakamoto (WALCOM, 2020)

Random Number Generators in Training of Contextual Neural Networks. - Maciej Huk; Kilho Shin 001; Tetsuji Kuboyama; Takako Hashimoto (ACIIDS, 2021)

Privacy-Preserving Multiparty Protocol for Feature Selection Problem. - Shinji Ono; Jun Takata; Masaharu Kataoka; Tomohiro I; Kilho Shin 001; Hiroshi Sakamoto (CoRR, 2021)

Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites. - Kilho Shin 001; Taichi Ishikawa; Yu-Lu Liu 001; David Lawrence Shepard (Mach. Learn. Knowl. Extr., 2021)

Analyzing temporal patterns of topic diversity using graph clustering. - Takako Hashimoto; David Lawrence Shepard; Tetsuji Kuboyama; Kilho Shin 001; Ryota Kobayashi; Takeaki Uno (J. Supercomput., 2021)

Privacy-Preserving Feature Selection with Fully Homomorphic Encryption. - Shinji Ono; Jun Takata; Masaharu Kataoka; Tomohiro I; Kilho Shin 001; Hiroshi Sakamoto (Algorithms, 2022)

Synthetic Data Generation Without Real Data: Uncovering Insights in Malware Detection. - Chris Liu; Katsuyuki Maeda; Junnosuke Takai; Keisuke Murota; Kilho Shin 001 (FICC (2), 2024)

BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets. - Kilho Shin 001; Chris Liu; Katsuyuki Maeda; Hiroaki Ohshima (ICAART (3), 2024)

Balancing the Trinity of Feature Selection. - Kilho Shin 001; Chris Liu; Katsuyuki Maeda; Hiroaki Ohshima; Lulu Ito (ICAART (Revised Selected Paper, 2), 2024)

Towards Federated Learning by Kernels. - Kilho Shin 001; Takenobu Seito; Chris Liu (ICMRE, 2024)

Prediction of specific surface area of metal-organic frameworks by graph kernels. - Yu Morikawa; Kilho Shin 001; Masataka Kubouchi; Hiroaki Ohshima (J. Supercomput., 2024)

Explainable Surface-Level Malware Analysis Through Scalable and Accurate Feature Selection. - Lulu Ito; Naoya Sawada; Katsuyuki Maeda; Kilho Shin 001 (AIAI (3), 2025)