Nat Pavasant

According to our database, Nat Pavasant authored at least 5 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Granger causality-based cluster sequence mining for spatio-temporal causal relation mining.

Nat Pavasant, Takashi Morita, Masayuki Numao, Ken-ichi Fukui

Int. J. Data Sci. Anal., April, 2024

Local Density Estimation Procedure for Autoregressive Modeling of Point Process Data.

Nat Pavasant, Takashi Morita, Masayuki Numao, Ken-ichi Fukui

IEICE Trans. Inf. Syst., 2024

2020

Spatio-Temporal Change Detection Using Granger Sequence Pattern.

Nat Pavasant, Masayuki Numao, Ken-ichi Fukui

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence Mining.

Nat Pavasant, Masayuki Numao, Ken-ichi Fukui

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2017

ART-2b: Adapted ART-2a for large scale data clustering on PM2.5 mass spectra.

Nat Pavasant, Hiroshi Furutani, Masayuki Numao, Ken-ichi Fukui

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017