Takashi Nicholas Maeda

According to our database, Takashi Nicholas Maeda authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data.

Takashi Nicholas Maeda, Shohei Shimizu

CoRR, 2024

2023

Python package for causal discovery based on LiNGAM.

Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu

J. Mach. Learn. Res., 2023

2022

Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders.

Takashi Nicholas Maeda, Shohei Shimizu

Int. J. Data Sci. Anal., 2022

2021

Discovery of Causal Additive Models in the Presence of Unobserved Variables.

Takashi Nicholas Maeda, Shohei Shimizu

CoRR, 2021

Causal additive models with unobserved variables.

Takashi Nicholas Maeda, Shohei Shimizu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders.

Takashi Nicholas Maeda, Shohei Shimizu

CoRR, 2020

RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders.

Takashi Nicholas Maeda, Shohei Shimizu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Detecting and understanding urban changes through decomposing the numbers of visitors' arrivals using human mobility data.

Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori, Tetsuo Sakimoto

J. Big Data, 2019

Comparative Examination of Network Clustering Methods for Extracting Community Structures of a City From Public Transportion Smart Card Data.

Takashi Nicholas Maeda, Junichiro Mori, Izumi Hayashi, Tetsuo Sakimoto, Ichiro Sakata

IEEE Access, 2019

2018

Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data.

Takashi Nicholas Maeda, Mitsuo Yoshida, Fujio Toriumi, Hirotada Ohashi

ISPRS Int. J. Geo Inf., 2018

Measurement of Opportunity Cost of Travel Time for Predicting Future Residential Mobility Based on the Smart Card Data of Public Transportation.

Takashi Nicholas Maeda, Junichiro Mori, Masanao Ochi, Tetsuo Sakimoto, Ichiro Sakata

ISPRS Int. J. Geo Inf., 2018

2017

Next place prediction in unfamiliar places considering contextual factors.

Takashi Nicholas Maeda, Kota Tsubouchi, Fujio Toriumi

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social Media.

Takashi Nicholas Maeda, Mitsuo Yoshida, Fujio Toriumi, Hirotada Ohashi

Proceedings of the Second International Conference on IoT in Urban Space, 2016

Analysis of smart card data for understanding spatial changes in consumption-oriented human flows.

Takashi Nicholas Maeda, Junichiro Mori, Fujio Toriumi, Hirotada Ohashi

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2016