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2020 – today
- 2024
[i13]Naaek Chinpattanakarn, Chainarong Amornbunchornvej:
Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis. CoRR abs/2401.02860 (2024)- [i12]Irving Gómez-Méndez, Chainarong Amornbunchornvej:
Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis. CoRR abs/2408.09760 (2024) - 2022
- [i11]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis. CoRR abs/2205.06131 (2022) - 2021
- [j7]Chainarong Amornbunchornvej
:
mFLICA: An R package for inferring leadership of coordination from time series. SoftwareX 15: 100781 (2021) - [j6]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income. ACM Trans. Knowl. Discov. Data 15(2): 15:1-15:30 (2021) - [j5]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. ACM Trans. Knowl. Discov. Data 15(4): 67:1-67:30 (2021) - [i10]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. CoRR abs/2104.02291 (2021) - [i9]Wanetha Sudswong, Anon Plangprasopchok, Chainarong Amornbunchornvej:
Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient. CoRR abs/2111.06224 (2021) - 2020
- [j4]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Following Strategies from Time Series of Movement Data. ACM Trans. Knowl. Discov. Data 14(3): 35:1-35:22 (2020) - [i8]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. CoRR abs/2002.00208 (2020) - [i7]Chainarong Amornbunchornvej:
mFLICA: An R package for Inferring Leadership of Coordination From Time Series. CoRR abs/2004.06092 (2020) - [i6]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. CoRR abs/2010.01587 (2020)
2010 – 2019
- 2019
- [j3]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. Soc. Netw. Anal. Min. 9(1): 58:1-58:17 (2019) - [c5]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-Lag Granger Causality for Time Series Analysis. DSAA 2019: 21-30 - [p1]Chainarong Amornbunchornvej, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Traits of Leaders in Movement Initiation: Classification and Identification. Influence and Behavior Analysis in Social Networks and Social Media 2019: 39-62 - [i5]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income. CoRR abs/1907.05234 (2019) - [i4]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Inferring Coordination Strategies from Time Series of Movement Data. CoRR abs/1911.01366 (2019) - [i3]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs. CoRR abs/1911.06723 (2019) - [i2]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality for Time Series Analysis. CoRR abs/1912.10829 (2019) - 2018
- [j2]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Coordination Event Detection and Initiator Identification in Time Series Data. ACM Trans. Knowl. Discov. Data 12(5): 53:1-53:33 (2018) - [c4]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and Modeling Complex Leadership Dynamics of Movement data. ASONAM 2018: 447-454 - [c3]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. SDM 2018: 549-557 - 2017
- [c2]Chainarong Amornbunchornvej, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Identifying Traits of Leaders in Movement Initiation. ASONAM 2017: 660-667 - 2016
- [i1]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
FLICA: A Framework for Leader Identification in Coordinated Activity. CoRR abs/1603.01570 (2016) - 2014
- [j1]Tulaya Limpiti, Chainarong Amornbunchornvej, Apichart Intarapanich, Anunchai Assawamakin, Sissades Tongsima:
iNJclust: Iterative Neighbor-Joining Tree Clustering Framework for Inferring Population Structure. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 903-914 (2014) - 2012
- [c1]C. Amornbunchornvej, Tulaya Limpiti, Anunchai Assawamakin, Apichart Intarapanich, Sissades Tongsima:
Iterative Neighbor-Joining tree clustering algorithm for genotypic data. ICPR 2012: 1827-1830
Coauthor Index
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