Thong Pham - RankMe

20 papers A* 1B 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables. AAAI Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2026	J	`jnl`	I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables. CoRR Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2026	J	`jnl`	Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints. CoRR Tadahisa Okuda, Shohei Shimizu, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma
2025	J	`jnl`	Causal Additive Models with Unobserved Causal Paths and Backdoor Paths. CoRR Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2025	J	`jnl`	Causal models and prediction in cell line perturbation experiments. BMC Bioinform. James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do
2025	B	`conf`	Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis. IJCNN Hiroshi Yokoyama, Ryusei Shingaki, Kaneharu Nishino, Shohei Shimizu, Thong Pham
2025	J	`jnl`	Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach. Trans. Mach. Learn. Res. Masayuki Takayama, Tadahisa Okuda, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma, Shohei Shimizu, Akiyoshi Sannai
2024	J	`jnl`	Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis. CoRR Hiroshi Yokoyama, Ryusei Shingaki, Kaneharu Nishino, Shohei Shimizu, Thong Pham
2024	J	`jnl`	Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach. CoRR Masayuki Takayama, Tadahisa Okuda, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma, Shohei Shimizu, Akiyoshi Sannai
2024	—	`conf`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2023	J	`jnl`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2022	J	`jnl`	A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks. IEEE Access Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2021	J	`jnl`	Non-parametric estimation of the preferential attachment function from one network snapshot. J. Complex Networks Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2021	J	`jnl`	Nonparametric estimation of the preferential attachment function from one network snapshot. CoRR Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2020	J	`jnl`	Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks. J. Informetrics Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2019	J	`jnl`	Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. CoRR Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2018	J	`jnl`	The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal. Scientometrics Guillermo Armando Ronda-Pupo, Thong Pham
2017	J	`jnl`	PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks. CoRR Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2017	J	`jnl`	The Rich get Richer and the Fit get Richer Phenomena in Temporal Complex Networks in the Strategic Management Scientific Community. CoRR Guillermo Armando Ronda-Pupo, Thong Pham
2014	—	`conf`	Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity. ECCS Thong Pham, Paul Sheridan, Hidetoshi Shimodaira