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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
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
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
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
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
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
Next place prediction in unfamiliar places considering contextual factors. SIGSPATIAL/GIS 2017: 76:1-76:4 - 2016
- [c2]Takashi Nicholas Maeda, Junichiro Mori
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
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 00:42 CEST by the dblp team
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