| Hypercities thick mapping in the digital humanities T Presner, D Shepard, Y Kawano | 189 | 2014 |
| Mapping the geospatial turn T Presner, D Shepard A new companion to digital humanities, 199-212, 2015 | 39 | 2015 |
| Super-CWC and super-LCC: Super fast feature selection algorithms K Shin, T Kuboyama, T Hashimot, D Shepard 2015 IEEE International Conference on Big Data (Big Data), 1-7, 2015 | 29 | 2015 |
| Analyzing temporal patterns of topic diversity using graph clustering T Hashimoto, DL Shepard, T Kuboyama, K Shin, R Kobayashi, T Uno The Journal of Supercomputing 77, 4375-4388, 2021 | 23 | 2021 |
| Event detection from millions of tweets related to the great east japan earthquake using feature selection technique T Hashimoto, D Shepard, T Kuboyama, K Shin 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 7-12, 2015 | 11 | 2015 |
| Learning DOM trees of web pages by Subpath Kernel and detecting fake e-commerce sites K Shin, T Ishikawa, YL Liu, DL Shepard Machine Learning and Knowledge Extraction 3 (1), 95-122, 2021 | 9 | 2021 |
| A map for the future: measuring radiation levels in Fukushima, Japan Y Kawano, D Shepard, Y Shobugawa, J Goto, T Suzuki, Y Amaya, M Oie, ... 2012 IEEE Global Humanitarian Technology Conference, 53-58, 2012 | 9 | 2012 |
| sCwc/sLcc: Highly Scalable Feature Selection Algorithms K Shin, T Kuboyama, T Hashimoto, D Shepard Information 8 (4), 159, 2017 | 8 | 2017 |
| Time series topic transition based on micro-clustering T Hashimoto, T Uno, T Kuboyama, K Shin, D Shepard 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 7 | 2019 |
| Nonparametric Bayes Pachinko allocation for super-event detection in Twitter D Shepard TENCON 2014-2014 IEEE Region 10 Conference, 1-5, 2014 | 5 | 2014 |
| Machine learning for tree structures in fake site detection T Ishikawa, YL Liu, DL Shepard, K Shin Proceedings of the 15th International Conference on Availability …, 2020 | 4 | 2020 |
| A Fast Algorithm for Unsupervised Feature Value Selection. K Shin, K Okumoto, DL Shepard, T Kuboyama, T Hashimoto, H Ohshima ICAART (2), 203-213, 2020 | 3 | 2020 |
| What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake. DL Shepard, T Hashimoto, T Kuboyama, K Shin DH, 361-364, 2016 | 3 | 2016 |
| Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter T Hashimoto, T Uno, Y Takedomi, D Shepard, M Toyoda, N Yoshinaga, ... 2021 IEEE International Conference on Big Data (Big Data), 614-621, 2021 | 2 | 2021 |
| Topic extraction method from millions of tweets based on fast feature selection technique CWC T Hashimoto, D Shepard, T Kuboyama, K Shin 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 1 | 2016 |
| Unsupervised Feature Value Selection Based on Explainability K Shin, K Okumoto, DL Shepard, A Kusaba, T Hashimoto, J Amari, ... Agents and Artificial Intelligence: 12th International Conference, ICAART …, 2021 | | 2021 |
| Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering T Hashimoto, K Shin, DL Shepard, T Kuboyama 2020 11th International Conference on Awareness Science and Technology …, 2020 | | 2020 |
| Predictive Nonlinear Modeling by Koopman Mode Decomposition A Kusaba, K Shin, D Shepard, T Kuboyama 2020 International Conference on Data Mining Workshops (ICDMW), 811-819, 2020 | | 2020 |
| Unsupervised clustering based on feature-value/instance transposition selection A Kusaba, T Hashimoto, K Shin, DL Shepard, T Kuboyama 2020 IEEE REGION 10 CONFERENCE (TENCON), 1192-1197, 2020 | | 2020 |
| Morphism-Based Learning for Structured Data K Shin, D Shepard Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5767-5775, 2020 | | 2020 |
Tetsuji KuboyamaGakushuin UniversityVerified email at tk.cc.gakushuin.ac.jp
