Virtual Cities/Digital Histories. - Robert C. Allen; Natasha Smith; Pamella Lach; Richard Marciano; Chris Speed; Todd Presner; Philip Ethington; David Lawrence Shepard; Chien-Yi Hou; Christopher Johanson (DH, 2011)

A Map for the Future: Measuring Radiation Levels in Fukushima, Japan. - Yoh Kawano; David Lawrence Shepard; Yugo Shobugawa; Jun Goto; Tsubasa Suzuki; Yoshihiro Amaya; Masayasu Oie; Takuji Izumikawa; Hidenori Yoshida; Yoshinori Katsuragi; Toshihiro Takahashi; Shigeru Hirayama; et al. (GHTC, 2012)

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)

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)

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)

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)

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

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

Reading the Quan Tang shi: Literary History, Topic Modeling, Divergence Measures. - Peter Broadwell; Jack W. Chen; David Lawrence Shepard (Digit. Humanit. Q., 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)

HANDLE: Get a Grip on MALLET. - David Lawrence Shepard (DH, 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)

Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. - Takako Hashimoto; Takeaki Uno; Yuka Takedomi; David Lawrence Shepard; Masashi Toyoda; Naoki Yoshinaga 001; Masaru Kitsuregawa; Ryota Kobayashi (IEEE BigData, 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)