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Takashi Nicholas Maeda
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2020 – today
- 2024
- [i3]Takashi Nicholas Maeda, Shohei Shimizu:
Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data. CoRR abs/2401.07231 (2024) - 2023
- [j6]Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu:
Python package for causal discovery based on LiNGAM. J. Mach. Learn. Res. 24: 14:1-14:8 (2023) - 2022
- [j5]Takashi Nicholas Maeda, Shohei Shimizu:
Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders. Int. J. Data Sci. Anal. 13(2): 77-89 (2022) - 2021
- [c5]Takashi Nicholas Maeda, Shohei Shimizu:
Causal additive models with unobserved variables. UAI 2021: 97-106 - [i2]Takashi Nicholas Maeda, Shohei Shimizu:
Discovery of Causal Additive Models in the Presence of Unobserved Variables. CoRR abs/2106.02234 (2021) - 2020
- [c4]Takashi Nicholas Maeda, Shohei Shimizu:
RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders. AISTATS 2020: 735-745 - [i1]Takashi Nicholas Maeda, Shohei Shimizu:
Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders. CoRR abs/2001.04197 (2020)
2010 – 2019
- 2019
- [j4]Takashi Nicholas Maeda, Junichiro Mori, Izumi Hayashi, Tetsuo Sakimoto, Ichiro Sakata:
Comparative Examination of Network Clustering Methods for Extracting Community Structures of a City From Public Transportion Smart Card Data. IEEE Access 7: 53377-53391 (2019) - [j3]Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori, Tetsuo Sakimoto:
Detecting and understanding urban changes through decomposing the numbers of visitors' arrivals using human mobility data. J. Big Data 6: 4 (2019) - 2018
- [j2]Takashi Nicholas Maeda, Mitsuo Yoshida, Fujio Toriumi, Hirotada Ohashi:
Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data. ISPRS Int. J. Geo Inf. 7(3): 99 (2018) - [j1]Takashi Nicholas Maeda, Junichiro Mori, Masanao Ochi, Tetsuo Sakimoto, Ichiro Sakata:
Measurement of Opportunity Cost of Travel Time for Predicting Future Residential Mobility Based on the Smart Card Data of Public Transportation. ISPRS Int. J. Geo Inf. 7(11): 416 (2018) - 2017
- [c3]Takashi Nicholas Maeda, Kota Tsubouchi, Fujio Toriumi:
Next place prediction in unfamiliar places considering contextual factors. SIGSPATIAL/GIS 2017: 76:1-76:4 - 2016
- [c2]Takashi Nicholas Maeda, Junichiro Mori, Fujio Toriumi, Hirotada Ohashi:
Analysis of smart card data for understanding spatial changes in consumption-oriented human flows. UrbanGIS@SIGSPATIAL 2016: 2:1-2:4 - [c1]Takashi Nicholas Maeda, Mitsuo Yoshida, Fujio Toriumi, Hirotada Ohashi:
Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social Media. Urb-IoT 2016: 61-64
Coauthor Index
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last updated on 2024-09-13 01:39 CEST by the dblp team
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